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\n  \n 2020\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n Use of the theoretical domains framework and behaviour change wheel to develop a novel intervention to improve the quality of multidisciplinary cancer conference decision-making.\n \n \n \n\n\n \n Fahim, C.; Fahim, C.; Acai, A.; McConnell, M. M.; Wright, F. C.; Sonnadara, R. R.; Simunovic, M.; and Simunovic, M.\n\n\n \n\n\n\n BMC Health Services Research, 20(1): 1–19. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{Fahim2020a,\nabstract = {Background: Multidisciplinary Cancer Conferences (MCCs) are prospective meetings involving cancer specialists to discuss treatment plans for patients with cancer. Despite reported gaps in MCC quality, there have been few efforts to improve its functioning. The purpose of this study was to use theoretically-rooted knowledge translation (KT) theories and frameworks to inform the development of a strategy to improve MCC decision-making quality. Methods: A multi-phased approach was used to design an intervention titled the KT-MCC Strategy. First, key informant interviews framed using the Theoretical Domains Framework (TDF) were conducted with MCC participants to identify barriers and facilitators to optimal MCC decision-making. Second, identified TDF domains were mapped to corresponding strategies using the COM-B Behavior Change Wheel to develop the KT-MCC Strategy. Finally, focus groups with MCC participants were held to confirm acceptability of the proposed KT-MCC Strategy. Results: Data saturation was reached at n = 21 interviews. Twenty-seven barrier themes and 13 facilitator themes were ascribed to 11 and 10 TDF domains, respectively. Differences in reported barriers by physician specialty were observed. The resulting KT-MCC Strategy included workshops, chair training, team training, standardized intake forms and a synoptic discussion checklist, and, audit and feedback. Focus groups (n = 3, participants 18) confirmed the acceptability of the identified interventions. Conclusion: Myriad factors were found to influence MCC decision making. We present a novel application of the TDF and COM-B to the context of MCCs. We comprehensively describe the barriers and facilitators that impact MCC decision making and propose strategies that may positively impact the quality of MCC decision making.},\nauthor = {Fahim, Christine and Fahim, Christine and Acai, Anita and McConnell, Meghan M. and Wright, Frances C. and Sonnadara, Ranil R. and Simunovic, Marko and Simunovic, Marko},\ndoi = {10.1186/s12913-020-05255-w},\nfile = {:C$\\backslash$:/Users/cindy/Downloads/Use{\\_}of{\\_}the{\\_}theoretical{\\_}domains.pdf:pdf},\nissn = {14726963},\njournal = {BMC Health Services Research},\nkeywords = {COM-B behaviour change wheel,Cancer,Intervention design,Knowledge translation,Multidisciplinary cancer conference,Multidisciplinary decision making,Multidisciplinary tumor board,Qualitative research,Theoretical domains framework},\nnumber = {1},\npages = {1--19},\npmid = {32580767},\npublisher = {BMC Health Services Research},\ntitle = {{Use of the theoretical domains framework and behaviour change wheel to develop a novel intervention to improve the quality of multidisciplinary cancer conference decision-making}},\nvolume = {20},\nyear = {2020}\n}\n
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\n\n\n
\n Background: Multidisciplinary Cancer Conferences (MCCs) are prospective meetings involving cancer specialists to discuss treatment plans for patients with cancer. Despite reported gaps in MCC quality, there have been few efforts to improve its functioning. The purpose of this study was to use theoretically-rooted knowledge translation (KT) theories and frameworks to inform the development of a strategy to improve MCC decision-making quality. Methods: A multi-phased approach was used to design an intervention titled the KT-MCC Strategy. First, key informant interviews framed using the Theoretical Domains Framework (TDF) were conducted with MCC participants to identify barriers and facilitators to optimal MCC decision-making. Second, identified TDF domains were mapped to corresponding strategies using the COM-B Behavior Change Wheel to develop the KT-MCC Strategy. Finally, focus groups with MCC participants were held to confirm acceptability of the proposed KT-MCC Strategy. Results: Data saturation was reached at n = 21 interviews. Twenty-seven barrier themes and 13 facilitator themes were ascribed to 11 and 10 TDF domains, respectively. Differences in reported barriers by physician specialty were observed. The resulting KT-MCC Strategy included workshops, chair training, team training, standardized intake forms and a synoptic discussion checklist, and, audit and feedback. Focus groups (n = 3, participants 18) confirmed the acceptability of the identified interventions. Conclusion: Myriad factors were found to influence MCC decision making. We present a novel application of the TDF and COM-B to the context of MCCs. We comprehensively describe the barriers and facilitators that impact MCC decision making and propose strategies that may positively impact the quality of MCC decision making.\n
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\n \n\n \n \n \n \n \n On the time-course of functional connectivity: theory of a dynamic progression of concussion effects.\n \n \n \n\n\n \n Boshra, R.; Ruiter, K. I; Dhindsa, K.; Sonnadara, R.; Reilly, J. P; and Connolly, J. F\n\n\n \n\n\n\n Brain Communications, 2(2): 1–14. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{Boshra2020,\nabstract = {The current literature presents a discordant view of mild traumatic brain injury and its effects on the human brain. This dissonance has often been attributed to heterogeneities in study populations, aetiology, acuteness, experimental paradigms and/or testing modalities. To investigate the progression of mild traumatic brain injury in the human brain, the present study employed data from 93 subjects (48 healthy controls) representing both acute and chronic stages of mild traumatic brain injury. The effects of concussion across different stages of injury were measured using two metrics of functional connectivity in segments of electroencephalography time-locked to an active oddball task. Coherence and weighted phase-lag index were calculated separately for individual frequency bands (delta, theta, alpha and beta) to measure the functional connectivity between six electrode clusters distributed from frontal to parietal regions across both hemispheres. Results show an increase in functional connectivity in the acute stage after mild traumatic brain injury, contrasted with significantly reduced functional connectivity in chronic stages of injury. This finding indicates a non-linear time-dependent effect of injury. To understand this pattern of changing functional connectivity in relation to prior evidence, we propose a new model of the time-course of the effects of mild traumatic brain injury on the brain that brings together research from multiple neuroimaging modalities and unifies the various lines of evidence that at first appear to be in conflict.},\nauthor = {Boshra, Rober and Ruiter, Kyle I and Dhindsa, Kiret and Sonnadara, Ranil and Reilly, James P and Connolly, John F},\ndoi = {10.1093/braincomms/fcaa063},\nfile = {:C$\\backslash$:/Users/cindy/Downloads/fcaa063.pdf:pdf},\njournal = {Brain Communications},\nkeywords = {19,2019,2020,abbreviations,accepted april 24,advance access publication may,brain injury,eeg ¼ electroencephalography,electroencephalography,erp ¼ event-related potential,fc ¼ functional connectivity,functional connectivity,index,mtbi ¼ mild,progression,received november 18,revised april 15,theoretical model,traumatic brain injury,wpli ¼ weighted phase-lag},\nnumber = {2},\npages = {1--14},\ntitle = {{On the time-course of functional connectivity: theory of a dynamic progression of concussion effects}},\nvolume = {2},\nyear = {2020}\n}\n
\n
\n\n\n
\n The current literature presents a discordant view of mild traumatic brain injury and its effects on the human brain. This dissonance has often been attributed to heterogeneities in study populations, aetiology, acuteness, experimental paradigms and/or testing modalities. To investigate the progression of mild traumatic brain injury in the human brain, the present study employed data from 93 subjects (48 healthy controls) representing both acute and chronic stages of mild traumatic brain injury. The effects of concussion across different stages of injury were measured using two metrics of functional connectivity in segments of electroencephalography time-locked to an active oddball task. Coherence and weighted phase-lag index were calculated separately for individual frequency bands (delta, theta, alpha and beta) to measure the functional connectivity between six electrode clusters distributed from frontal to parietal regions across both hemispheres. Results show an increase in functional connectivity in the acute stage after mild traumatic brain injury, contrasted with significantly reduced functional connectivity in chronic stages of injury. This finding indicates a non-linear time-dependent effect of injury. To understand this pattern of changing functional connectivity in relation to prior evidence, we propose a new model of the time-course of the effects of mild traumatic brain injury on the brain that brings together research from multiple neuroimaging modalities and unifies the various lines of evidence that at first appear to be in conflict.\n
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\n \n\n \n \n \n \n \n Use of the KT-MCC strategy to improve the quality of decision making for multidisciplinary cancer conferences: A pilot study.\n \n \n \n\n\n \n Fahim, C.; Fahim, C.; McConnell, M. M.; Wright, F. C.; Wright, F. C.; Sonnadara, R. R.; Simunovic, M.; and Simunovic, M.\n\n\n \n\n\n\n BMC Health Services Research, 20(1): 1–12. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{Fahim2020,\nabstract = {Background: Multidisciplinary Cancer Conferences (MCCs) are increasingly used to guide treatment decisions for patients with cancer, though numerous barriers to optimal MCC decision-making quality have been identified. We aimed to improve the quality of MCC decision making through the use of an implementation bundle titled the KT-MCC Strategy. The Strategy included use of discussion tools (standard case intake tool and a synoptic discussion tool), workshops, MCC team and chair training, and audit and feedback. Implementation strategies were selected using a theoretically-rooted and integrated KT approach, meaning members of the target population (MCC participants) assisted with the design and implementation of the intervention and strategies. We evaluated implementation quality of the KT-MCC Strategy and initial signals of impact on decision making quality. Methods: This was a before-and-after study design among 4 MCC teams. Baseline data (before-phase) were collected for a period of 2 months to assess the quality of MCC decision making. Study teams selected the intervention strategies they wished to engage with. Post-intervention data (after-phase) were collected for 4 months. Implementation quality outcomes included reach, adherence/fidelity and adaptation. We also evaluated feasibility of data management. Decision making quality was evaluated on a per-case and per-round level using the MTB-MODe and MDT-OARS tools, respectively. Results: There were a total of 149 cases and 23 MCCs observed in the before phase and 260 cases and 35 MCCs observed in the after phase. Teams implemented 3/5 strategies; adherence to selected strategies varied by MCC team. The per-round quality of MCCs improved by 11{\\%} (41.0 to 47.3, p = {\\textless} 0.0001). The quality of per-case decision-making did not improve significantly (32.3 to 32.6, p = 0.781). Conclusion: While per round MCC decision making quality improved significantly, per-case decision-making quality did not. We posit that the limited improvements on decision making quality may be attributed to implementation quality gaps, including a lack of uptake of and adherence to theoretically-identified implementation strategies. Our findings highlight the importance of evaluating implementation quality and processes, iterative testing, and engagement of key gatekeepers in the implementation process.},\nauthor = {Fahim, Christine and Fahim, Christine and McConnell, Meghan M. and Wright, Frances C. and Wright, Frances C. and Sonnadara, Ranil R. and Simunovic, Marko and Simunovic, Marko},\ndoi = {10.1186/s12913-020-05143-3},\nfile = {:C$\\backslash$:/Users/cindy/Downloads/Use{\\_}of{\\_}the{\\_}KT-MCC{\\_}strategy{\\_}to{\\_}.pdf:pdf},\nissn = {14726963},\njournal = {BMC Health Services Research},\nkeywords = {Behaviour change wheel,Cancer,Integrated knowledge translation,Knowledge-to-action cycle,Multidisciplinary Cancer conference,Multidisciplinary decision making,Theoretical domains framework},\nnumber = {1},\npages = {1--12},\npmid = {32580714},\npublisher = {BMC Health Services Research},\ntitle = {{Use of the KT-MCC strategy to improve the quality of decision making for multidisciplinary cancer conferences: A pilot study}},\nvolume = {20},\nyear = {2020}\n}\n
\n
\n\n\n
\n Background: Multidisciplinary Cancer Conferences (MCCs) are increasingly used to guide treatment decisions for patients with cancer, though numerous barriers to optimal MCC decision-making quality have been identified. We aimed to improve the quality of MCC decision making through the use of an implementation bundle titled the KT-MCC Strategy. The Strategy included use of discussion tools (standard case intake tool and a synoptic discussion tool), workshops, MCC team and chair training, and audit and feedback. Implementation strategies were selected using a theoretically-rooted and integrated KT approach, meaning members of the target population (MCC participants) assisted with the design and implementation of the intervention and strategies. We evaluated implementation quality of the KT-MCC Strategy and initial signals of impact on decision making quality. Methods: This was a before-and-after study design among 4 MCC teams. Baseline data (before-phase) were collected for a period of 2 months to assess the quality of MCC decision making. Study teams selected the intervention strategies they wished to engage with. Post-intervention data (after-phase) were collected for 4 months. Implementation quality outcomes included reach, adherence/fidelity and adaptation. We also evaluated feasibility of data management. Decision making quality was evaluated on a per-case and per-round level using the MTB-MODe and MDT-OARS tools, respectively. Results: There were a total of 149 cases and 23 MCCs observed in the before phase and 260 cases and 35 MCCs observed in the after phase. Teams implemented 3/5 strategies; adherence to selected strategies varied by MCC team. The per-round quality of MCCs improved by 11% (41.0 to 47.3, p = \\textless 0.0001). The quality of per-case decision-making did not improve significantly (32.3 to 32.6, p = 0.781). Conclusion: While per round MCC decision making quality improved significantly, per-case decision-making quality did not. We posit that the limited improvements on decision making quality may be attributed to implementation quality gaps, including a lack of uptake of and adherence to theoretically-identified implementation strategies. Our findings highlight the importance of evaluating implementation quality and processes, iterative testing, and engagement of key gatekeepers in the implementation process.\n
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\n \n\n \n \n \n \n \n LFSpy : A Python Implementation of Local Feature Selection for Data Classification with scikit-learn Compatibility.\n \n \n \n\n\n \n Dhindsa, K.; Cook, O.; Mudway, T.; Khawaja, A.; Harwood, R.; and Sonnadara, R.\n\n\n \n\n\n\n The Journal of Open Source Software, 5(49). 2020.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{Dhindsa2020,\nauthor = {Dhindsa, Kiret and Cook, Oliver and Mudway, Thomas and Khawaja, Areeb and Harwood, Ron and Sonnadara, Ranil},\ndoi = {10.21105/joss.01958},\njournal = {The Journal of Open Source Software},\nnumber = {49},\ntitle = {{LFSpy : A Python Implementation of Local Feature Selection for Data Classification with scikit-learn Compatibility}},\nvolume = {5},\nyear = {2020}\n}\n
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\n \n\n \n \n \n \n \n \n Using Deep Learning Algorithms to Grade Hydronephrosis Severity: Toward a Clinical Adjunct .\n \n \n \n \n\n\n \n Smail, L. C; Dhindsa, K.; Braga, L. H; Becker, S.; and Sonnadara, R. R\n\n\n \n\n\n\n 2020.\n \n\n\n\n
\n\n\n\n \n \n \"UsingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@misc{Smail2020,\nabstract = {Grading hydronephrosis severity relies on subjective interpretation of renal ultrasound images. Deep learning is a data-driven algorithmic approach to classifying data, including images, presenting a promising option for grading hydronephrosis. The current study explored the potential of deep convolutional neural networks (CNN), a type of deep learning algorithm, to grade hydronephrosis ultrasound images according to the 5-point Society for Fetal Urology (SFU) classification system, and discusses its potential applications in developing decision and teaching aids for clinical practice. We developed a five-layer CNN to grade 2,420 sagittal hydronephrosis ultrasound images [191 SFU 0 (8{\\%}), 407 SFU I (17{\\%}), 666 SFU II (28{\\%}), 833 SFU III (34{\\%}), and 323 SFU IV (13{\\%})], from 673 patients ranging from 0 to 116.29 months old (M{\\textless}sub{\\textgreater}age{\\textless}/sub{\\textgreater} = 16.53, SD = 17.80). Five-way (all grades) and two-way classification problems [i.e., II vs. III, and low (0–II) vs. high (III–IV)] were explored. The CNN classified 94{\\%} (95{\\%} CI, 93–95{\\%}) of the images correctly or within one grade of the provided label in the five-way classification problem. Fifty-one percent of these images (95{\\%} CI, 49–53{\\%}) were correctly predicted, with an average weighted F1 score of 0.49 (95{\\%} CI, 0.47–0.51). The CNN achieved an average accuracy of 78{\\%} (95{\\%} CI, 75–82{\\%}) with an average weighted F1 of 0.78 (95{\\%} CI, 0.74–0.82) when classifying low vs. high grades, and an average accuracy of 71{\\%} (95{\\%} CI, 68–74{\\%}) with an average weighted F1 score of 0.71 (95{\\%} CI, 0.68–0.75) when discriminating between grades II vs. III. Our model performs well above chance level, and classifies almost all images either correctly or within one grade of the provided label. We have demonstrated the applicability of a CNN approach to hydronephrosis ultrasound image classification. Further investigation into a deep learning-based clinical adjunct for hydronephrosis is warranted.},\nauthor = {Smail, Lauren C and Dhindsa, Kiret and Braga, Luis H and Becker, Suzanna and Sonnadara, Ranil R},\nbooktitle = {Frontiers in Pediatrics  },\nisbn = {2296-2360},\npages = {1},\ntitle = {{Using Deep Learning Algorithms to Grade Hydronephrosis Severity: Toward a Clinical Adjunct   }},\nurl = {https://www.frontiersin.org/article/10.3389/fped.2020.00001},\nvolume = {8      },\nyear = {2020}\n}\n
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\n Grading hydronephrosis severity relies on subjective interpretation of renal ultrasound images. Deep learning is a data-driven algorithmic approach to classifying data, including images, presenting a promising option for grading hydronephrosis. The current study explored the potential of deep convolutional neural networks (CNN), a type of deep learning algorithm, to grade hydronephrosis ultrasound images according to the 5-point Society for Fetal Urology (SFU) classification system, and discusses its potential applications in developing decision and teaching aids for clinical practice. We developed a five-layer CNN to grade 2,420 sagittal hydronephrosis ultrasound images [191 SFU 0 (8%), 407 SFU I (17%), 666 SFU II (28%), 833 SFU III (34%), and 323 SFU IV (13%)], from 673 patients ranging from 0 to 116.29 months old (M\\textlesssub\\textgreaterage\\textless/sub\\textgreater = 16.53, SD = 17.80). Five-way (all grades) and two-way classification problems [i.e., II vs. III, and low (0–II) vs. high (III–IV)] were explored. The CNN classified 94% (95% CI, 93–95%) of the images correctly or within one grade of the provided label in the five-way classification problem. Fifty-one percent of these images (95% CI, 49–53%) were correctly predicted, with an average weighted F1 score of 0.49 (95% CI, 0.47–0.51). The CNN achieved an average accuracy of 78% (95% CI, 75–82%) with an average weighted F1 of 0.78 (95% CI, 0.74–0.82) when classifying low vs. high grades, and an average accuracy of 71% (95% CI, 68–74%) with an average weighted F1 score of 0.71 (95% CI, 0.68–0.75) when discriminating between grades II vs. III. Our model performs well above chance level, and classifies almost all images either correctly or within one grade of the provided label. We have demonstrated the applicability of a CNN approach to hydronephrosis ultrasound image classification. Further investigation into a deep learning-based clinical adjunct for hydronephrosis is warranted.\n
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\n  \n 2019\n \n \n (15)\n \n \n
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\n \n\n \n \n \n \n \n \n Reply: A shift on the horizon: a systematic review of assessment tools for plastic surgery trainees.\n \n \n \n \n\n\n \n Fahim, C; McKinnon, V E; Kalun, P; McRae, M H; and Sonnadara, R R\n\n\n \n\n\n\n Plast Reconstr Surg, 143(5): 1129e–31e. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Reply:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN246,\nauthor = {Fahim, C and McKinnon, V E and Kalun, P and McRae, M H and Sonnadara, R R},\ndoi = {10.1097/PRS.0000000000005550},\nissn = {1529-4242},\njournal = {Plast Reconstr Surg},\nnumber = {5},\npages = {1129e--31e},\ntitle = {{Reply: A shift on the horizon: a systematic review of assessment tools for plastic surgery trainees}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/30907820},\nvolume = {143},\nyear = {2019}\n}\n
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\n \n\n \n \n \n \n \n Attending emergency physicians' perceptions of a programmatic workplace-based assessment system: the McMaster Modular Assessment Program (McMAP).\n \n \n \n\n\n \n Acai, A; Li, S.; Sherbino, J; and Chan, T M\n\n\n \n\n\n\n Teach Learn Med, 31(4): 434–444. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN256,\nauthor = {Acai, A and Li, S.-A. and Sherbino, J and Chan, T M},\njournal = {Teach Learn Med},\nnumber = {4},\npages = {434--444},\ntitle = {{Attending emergency physicians' perceptions of a programmatic workplace-based assessment system: the McMaster Modular Assessment Program (McMAP)}},\ntype = {Journal Article},\nvolume = {31},\nyear = {2019}\n}\n
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\n \n\n \n \n \n \n \n Reflecting gendered experiences of student-staff partnership: a student standpoint using poetic transcription.\n \n \n \n\n\n \n Mercer-Mapstone, L; Guitman, R; and Acai, A\n\n\n \n\n\n\n Teach High Educ, 24(6): 809–818. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN255,\nauthor = {Mercer-Mapstone, L and Guitman, R and Acai, A},\njournal = {Teach High Educ},\nnumber = {6},\npages = {809--818},\ntitle = {{Reflecting gendered experiences of student-staff partnership: a student standpoint using poetic transcription}},\ntype = {Journal Article},\nvolume = {24},\nyear = {2019}\n}\n
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\n \n\n \n \n \n \n \n \n Author response to “the road to gender equity in surgery is long”.\n \n \n \n \n\n\n \n Acai, A; Reid, S E; and Sonnadara, R R\n\n\n \n\n\n\n Can J Surg, 62(3): E4–5. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"AuthorPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN249,\nauthor = {Acai, A and Reid, S E and Sonnadara, R R},\ndoi = {10.1503/cjs.1962302},\nissn = {1488-2310},\njournal = {Can J Surg},\nnumber = {3},\npages = {E4--5},\ntitle = {{Author response to “the road to gender equity in surgery is long”}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/31134786},\nvolume = {62},\nyear = {2019}\n}\n
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\n \n\n \n \n \n \n \n Toward theories of partnership praxis: an analysis of interpretive framing in literature on students as partners in teaching and learning.\n \n \n \n\n\n \n Matthews, K E; Cook-Sather, A; Acai, A; Dvorakova, S L; Felten, P; Marquis, E; and Mercer-Mapstone, L\n\n\n \n\n\n\n Higher Ed Res Dev, 38(2): 280–293. 2019.\n \n\n\n\n
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@article{RN236,\nauthor = {Matthews, K E and Cook-Sather, A and Acai, A and Dvorakova, S L and Felten, P and Marquis, E and Mercer-Mapstone, L},\njournal = {Higher Ed Res Dev},\nnumber = {2},\npages = {280--293},\ntitle = {{Toward theories of partnership praxis: an analysis of interpretive framing in literature on students as partners in teaching and learning}},\ntype = {Journal Article},\nvolume = {38},\nyear = {2019}\n}\n
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\n \n\n \n \n \n \n \n \n Mind the (gender) gap: engaging students as partners to promote gender equity in higher education.\n \n \n \n \n\n\n \n Acai, A.; Mercer-Mapstone, L.; and Guitman, R.\n\n\n \n\n\n\n Teaching in Higher Education,1–21. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"MindPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{Acai2019,\nannote = {doi: 10.1080/13562517.2019.1696296},\nauthor = {Acai, Anita and Mercer-Mapstone, Lucy and Guitman, Rachel},\ndoi = {10.1080/13562517.2019.1696296},\nissn = {1356-2517},\njournal = {Teaching in Higher Education},\npages = {1--21},\npublisher = {Routledge},\ntitle = {{Mind the (gender) gap: engaging students as partners to promote gender equity in higher education}},\nurl = {https://doi.org/10.1080/13562517.2019.1696296},\nyear = {2019}\n}\n
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\n \n\n \n \n \n \n \n \n Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps.\n \n \n \n \n\n\n \n Sivanesan, U.; Braga, L. H.; Sonnadara, R. R.; and Dhindsa, K.\n\n\n \n\n\n\n ,1–16. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"UnsupervisedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{Sivanesan2019,\nabstract = {We develop and approach to unsupervised semantic medical image segmentation that extends previous work with generative adversarial networks. We use existing edge detection methods to construct simple edge diagrams, train a generative model to convert them into synthetic medical images, and construct a dataset of synthetic images with known segmentations using variations on extracted edge diagrams. This synthetic dataset is then used to train a supervised image segmentation model. We test our approach on a clinical dataset of kidney ultrasound images and the benchmark ISIC 2018 skin lesion dataset. We show that our unsupervised approach is more accurate than previous unsupervised methods, and performs reasonably compared to supervised image segmentation models. All code and trained models are available at https://github.com/kiretd/Unsupervised-MIseg.},\narchivePrefix = {arXiv},\narxivId = {1911.05140},\nauthor = {Sivanesan, Umaseh and Braga, Luis H. and Sonnadara, Ranil R. and Dhindsa, Kiret},\neprint = {1911.05140},\npages = {1--16},\ntitle = {{Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps}},\nurl = {http://arxiv.org/abs/1911.05140},\nyear = {2019}\n}\n
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\n We develop and approach to unsupervised semantic medical image segmentation that extends previous work with generative adversarial networks. We use existing edge detection methods to construct simple edge diagrams, train a generative model to convert them into synthetic medical images, and construct a dataset of synthetic images with known segmentations using variations on extracted edge diagrams. This synthetic dataset is then used to train a supervised image segmentation model. We test our approach on a clinical dataset of kidney ultrasound images and the benchmark ISIC 2018 skin lesion dataset. We show that our unsupervised approach is more accurate than previous unsupervised methods, and performs reasonably compared to supervised image segmentation models. All code and trained models are available at https://github.com/kiretd/Unsupervised-MIseg.\n
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\n \n\n \n \n \n \n \n \n Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics.\n \n \n \n \n\n\n \n Shaw, S. B.; Dhindsa, K.; Reilly, J. P; and Becker, S.\n\n\n \n\n\n\n Neural Computation, 31(11): 2177–2211. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"CapturingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{Shaw2019,\nabstract = {The brain is known to be active even when not performing any overt cognitive tasks, and often it engages in involuntary mind wandering. This resting state has been extensively characterized in terms of fMRI-derived brain networks. However, an alternate method has recently gained popularity: EEG microstate analysis. Proponents of microstates postulate that the brain discontinuously switches between four quasi-stable states defined by specific EEG scalp topologies at peaks in the global field potential (GFP). These microstates are thought to be ?atoms of thought,? involved with visual, auditory, salience, and attention processing. However, this method makes some major assumptions by excluding EEG data outside the GFP peaks and then clustering the EEG scalp topologies at the GFP peaks, assuming that only one microstate is active at any given time. This study explores the evidence surrounding these assumptions by studying the temporal dynamics of microstates and its clustering space using tools from dynamical systems analysis, fractal, and chaos theory to highlight the shortcomings in microstate analysis. The results show evidence of complex and chaotic EEG dynamics outside the GFP peaks, which is being missed by microstate analysis. Furthermore, the winner-takes-all approach of only one microstate being active at a time is found to be inadequate since the dynamic EEG scalp topology does not always resemble that of the assigned microstate, and there is competition among the different microstate classes. Finally, clustering space analysis shows that the four microstates do not cluster into four distinct and separable clusters. Taken collectively, these results show that the discontinuous description of EEG microstates is inadequate when looking at nonstationary short-scale EEG dynamics.},\nannote = {doi: 10.1162/neco{\\_}a{\\_}01229},\nauthor = {Shaw, Saurabh Bhaskar and Dhindsa, Kiret and Reilly, James P and Becker, Suzanna},\ndoi = {10.1162/neco_a_01229},\nissn = {0899-7667},\njournal = {Neural Computation},\nnumber = {11},\npages = {2177--2211},\npublisher = {MIT Press},\ntitle = {{Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics}},\nurl = {https://doi.org/10.1162/neco{\\_}a{\\_}01229},\nvolume = {31},\nyear = {2019}\n}\n
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\n The brain is known to be active even when not performing any overt cognitive tasks, and often it engages in involuntary mind wandering. This resting state has been extensively characterized in terms of fMRI-derived brain networks. However, an alternate method has recently gained popularity: EEG microstate analysis. Proponents of microstates postulate that the brain discontinuously switches between four quasi-stable states defined by specific EEG scalp topologies at peaks in the global field potential (GFP). These microstates are thought to be ?atoms of thought,? involved with visual, auditory, salience, and attention processing. However, this method makes some major assumptions by excluding EEG data outside the GFP peaks and then clustering the EEG scalp topologies at the GFP peaks, assuming that only one microstate is active at any given time. This study explores the evidence surrounding these assumptions by studying the temporal dynamics of microstates and its clustering space using tools from dynamical systems analysis, fractal, and chaos theory to highlight the shortcomings in microstate analysis. The results show evidence of complex and chaotic EEG dynamics outside the GFP peaks, which is being missed by microstate analysis. Furthermore, the winner-takes-all approach of only one microstate being active at a time is found to be inadequate since the dynamic EEG scalp topology does not always resemble that of the assigned microstate, and there is competition among the different microstate classes. Finally, clustering space analysis shows that the four microstates do not cluster into four distinct and separable clusters. Taken collectively, these results show that the discontinuous description of EEG microstates is inadequate when looking at nonstationary short-scale EEG dynamics.\n
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\n \n\n \n \n \n \n \n Individualized pattern recognition for detecting mind wandering from EEG during live lectures.\n \n \n \n\n\n \n Dhindsa, K; Acai, A; Wagner, N; Bosnyak, D; Kelly, S; Bhandari, M; Petrisor, B; and Sonnadara, R R\n\n\n \n\n\n\n PLOS ONE, 14(9): e0222276. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN258,\nauthor = {Dhindsa, K and Acai, A and Wagner, N and Bosnyak, D and Kelly, S and Bhandari, M and Petrisor, B and Sonnadara, R R},\njournal = {PLOS ONE},\nnumber = {9},\npages = {e0222276},\ntitle = {{Individualized pattern recognition for detecting mind wandering from EEG during live lectures}},\ntype = {Journal Article},\nvolume = {14},\nyear = {2019}\n}\n
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\n \n\n \n \n \n \n \n \n Video-based assessment in surgical education: a scoping review.\n \n \n \n \n\n\n \n McQueen, S; McKinnon, V; VanderBeek, L; McCarthy, C; and Sonnadara, R R\n\n\n \n\n\n\n J Surg Educ, —. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Video-basedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN248,\nauthor = {McQueen, S and McKinnon, V and VanderBeek, L and McCarthy, C and Sonnadara, R R},\ndoi = {10.1016/j.jsurg.2019.05.013},\nissn = {1878-7452},\njournal = {J Surg Educ},\ntitle = {{Video-based assessment in surgical education: a scoping review}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/31175065},\nvolume = {—},\nyear = {2019}\n}\n
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\n \n\n \n \n \n \n \n \n Coaching by design: exploring a new approach to faculty development in a competency-based medical education curriculum.\n \n \n \n \n\n\n \n Orr, C J; and Sonnadara, R R\n\n\n \n\n\n\n Adv Med Educ Pract, 10: 229–244. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"CoachingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN250,\nauthor = {Orr, C J and Sonnadara, R R},\ndoi = {10.2147/AMEP.S191470},\nissn = {1179-7258},\njournal = {Adv Med Educ Pract},\npages = {229--244},\ntitle = {{Coaching by design: exploring a new approach to faculty development in a competency-based medical education curriculum}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/31118862},\nvolume = {10},\nyear = {2019}\n}\n
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\n \n\n \n \n \n \n \n \n Enhancing formative feedback in orthopaedic training: development and implementation of a competency-based assessment framework.\n \n \n \n \n\n\n \n Wagner, N; Acai, A; McQueen, S A; McCarthy, C; McGuire, A; Petrisor, B; and Sonnadara, R R\n\n\n \n\n\n\n J Surg Educ, 76(5): 1376–1401. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"EnhancingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN245,\nauthor = {Wagner, N and Acai, A and McQueen, S A and McCarthy, C and McGuire, A and Petrisor, B and Sonnadara, R R},\ndoi = {10.1016/j.jsurg.2019.03.015},\nissn = {1878-7452},\njournal = {J Surg Educ},\nnumber = {5},\npages = {1376--1401},\ntitle = {{Enhancing formative feedback in orthopaedic training: development and implementation of a competency-based assessment framework}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/30981655},\nvolume = {76},\nyear = {2019}\n}\n
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\n \n\n \n \n \n \n \n Development of a point of care system for automated coma prognosis: a prospective cohort study protocol.\n \n \n \n\n\n \n Connolly, J F; Reilly, J P; Fox-Robichaud, A; Britz, P; Blain-Moraes, S; Sonnadara, R R; Hamielec, C; Herrera-Díaz, A; and Boshra, R\n\n\n \n\n\n\n BMJ Open, 9(7): e029621. 2019.\n \n\n\n\n
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@article{RN257,\nauthor = {Connolly, J F and Reilly, J P and Fox-Robichaud, A and Britz, P and Blain-Moraes, S and Sonnadara, R R and Hamielec, C and Herrera-D{\\'{i}}az, A and Boshra, R},\njournal = {BMJ Open},\nnumber = {7},\npages = {e029621},\ntitle = {{Development of a point of care system for automated coma prognosis: a prospective cohort study protocol}},\ntype = {Journal Article},\nvolume = {9},\nyear = {2019}\n}\n
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\n \n\n \n \n \n \n \n \n From group-level statistics to single-subject prediction: machine learning detection of concussion in retired athletes.\n \n \n \n \n\n\n \n Boshra, R; Dhindsa, K; Boursalie, O; Ruiter, K I; Sonnadara, R R; Samavi, R; Doyle, T E; Reilly, J P; and Connolly, J F\n\n\n \n\n\n\n IEEE Trans Neural Syst Rehabil Eng, 27(7): 1492–1501. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"FromPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN247,\nauthor = {Boshra, R and Dhindsa, K and Boursalie, O and Ruiter, K I and Sonnadara, R R and Samavi, R and Doyle, T E and Reilly, J P and Connolly, J F},\ndoi = {10.1109/TNSRE.2019.2922553},\nissn = {1558-0210},\njournal = {IEEE Trans Neural Syst Rehabil Eng},\nnumber = {7},\npages = {1492--1501},\ntitle = {{From group-level statistics to single-subject prediction: machine learning detection of concussion in retired athletes}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/31199262},\nvolume = {27},\nyear = {2019}\n}\n
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\n \n\n \n \n \n \n \n Enhancing outcomes and reducing inhibitors to the engagement of students and staff in learning and teaching partnerships: implications for academic development.\n \n \n \n\n\n \n Matthews, K E; Mercer-Mapstone, L; Dvorakova, S L; Acai, A; Cook-Sather, A; Felten, P; Healey, M; Healey, R L; and Marquis, E\n\n\n \n\n\n\n Int J Acad Dev, 24(3): 246–259. 2019.\n \n\n\n\n
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@article{RN226,\nauthor = {Matthews, K E and Mercer-Mapstone, L and Dvorakova, S L and Acai, A and Cook-Sather, A and Felten, P and Healey, M and Healey, R L and Marquis, E},\njournal = {Int J Acad Dev},\nnumber = {3},\npages = {246--259},\ntitle = {{Enhancing outcomes and reducing inhibitors to the engagement of students and staff in learning and teaching partnerships: implications for academic development}},\ntype = {Journal Article},\nvolume = {24},\nyear = {2019}\n}\n
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\n \n\n \n \n \n \n \n \n The 3M National Teaching Fellowship: a high-impact community of practice in higher education.\n \n \n \n \n\n\n \n Acai, A; Ahmad, A; Fenton, N; Graystone, L; Phillips, K; Smith, R; and Stockley, D\n\n\n \n\n\n\n Teach Learn Inquiry, 6(2): 50–66. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN229,\nauthor = {Acai, A and Ahmad, A and Fenton, N and Graystone, L and Phillips, K and Smith, R and Stockley, D},\ndoi = {10.20343/teachlearninqu.6.2.5},\nissn = {2167-4779},\njournal = {Teach Learn Inquiry},\nnumber = {2},\npages = {50--66},\ntitle = {{The 3M National Teaching Fellowship: a high-impact community of practice in higher education}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {6},\nyear = {2018}\n}\n
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\n \n\n \n \n \n \n \n \n Mutual synchronization and control between artificial chaotic system and human.\n \n \n \n \n\n\n \n Dotov, D; and Froese, T\n\n\n \n\n\n\n The 2018 Conference on Artificial Life: A Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALIFE), —: 109–110. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"MutualPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN240,\nauthor = {Dotov, D and Froese, T},\ndoi = {10.1162/isal_a_00028},\njournal = {The 2018 Conference on Artificial Life: A Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALIFE)},\npages = {109--110},\ntitle = {{Mutual synchronization and control between artificial chaotic system and human}},\ntype = {Journal Article},\nurl = {https://www.mitpressjournals.org/doi/abs/10.1162/isal{\\_}a{\\_}00028},\nvolume = {—},\nyear = {2018}\n}\n
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\n \n\n \n \n \n \n \n \n A solution to gender inequity in surgery? Better caregiving policies.\n \n \n \n \n\n\n \n Acai, A; Steyn, C; Reid, S E; and Sonnadara, R R\n\n\n \n\n\n\n Can J Surg, 61(1): 6–7. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN228,\nauthor = {Acai, A and Steyn, C and Reid, S E and Sonnadara, R R},\ndoi = {10.1503/cjs.010717},\nissn = {0008-428X},\njournal = {Can J Surg},\nnumber = {1},\npages = {6--7},\ntitle = {{A solution to gender inequity in surgery? Better caregiving policies}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {61},\nyear = {2018}\n}\n
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\n \n\n \n \n \n \n \n What's holding up the big data revolution in healthcare?.\n \n \n \n\n\n \n Dhindsa, K; Bhandari, M; and Sonnadara, R R\n\n\n \n\n\n\n BMJ, 363: k5357. 2018.\n \n\n\n\n
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@article{RN243,\nauthor = {Dhindsa, K and Bhandari, M and Sonnadara, R R},\njournal = {BMJ},\npages = {k5357},\ntitle = {{What's holding up the big data revolution in healthcare?}},\ntype = {Journal Article},\nvolume = {363},\nyear = {2018}\n}\n
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\n \n\n \n \n \n \n \n \n Individualization of music-based rhythmic auditory cueing in Parkinson's disease.\n \n \n \n \n\n\n \n Dalla Bella, S; Dotov, D; Bardy, B; and de Cock, V C\n\n\n \n\n\n\n Ann N Y Acad Sci, 1423(1): 308–317. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"IndividualizationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN239,\nauthor = {{Dalla Bella}, S and Dotov, D and Bardy, B and de Cock, V C},\ndoi = {10.1111/nyas.13859},\nissn = {0077-8923},\njournal = {Ann N Y Acad Sci},\nnumber = {1},\npages = {308--317},\ntitle = {{Individualization of music-based rhythmic auditory cueing in Parkinson's disease}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {1423},\nyear = {2018}\n}\n
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\n \n\n \n \n \n \n \n Eight-year outcomes of a competency-based residency training program in orthopedic surgery.\n \n \n \n\n\n \n Nousiainen, M; Mironova, P; Hynes, M; Takahashi, S G; Reznick, R; Kraemer, W; Alman, B; Ferguson, P; and Committee, T. C B C P.\n\n\n \n\n\n\n Med Teach, 40(10): 1042–1054. 2018.\n \n\n\n\n
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@article{RN235,\nauthor = {Nousiainen, M and Mironova, P and Hynes, M and Takahashi, S G and Reznick, R and Kraemer, W and Alman, B and Ferguson, P and Committee, The C B C Planning},\njournal = {Med Teach},\nnumber = {10},\npages = {1042--1054},\ntitle = {{Eight-year outcomes of a competency-based residency training program in orthopedic surgery}},\ntype = {Journal Article},\nvolume = {40},\nyear = {2018}\n}\n
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\n \n\n \n \n \n \n \n \n Entraining chaotic dynamics: a novel movement sonification paradigm could promote generalization.\n \n \n \n \n\n\n \n Dotov, D; and Froese, T\n\n\n \n\n\n\n Hum Mov Sci, 61: 27–41. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"EntrainingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN238,\nauthor = {Dotov, D and Froese, T},\ndoi = {10.1016/j.humov.2018.06.016},\nissn = {0167-9457},\njournal = {Hum Mov Sci},\npages = {27--41},\ntitle = {{Entraining chaotic dynamics: a novel movement sonification paradigm could promote generalization}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {61},\nyear = {2018}\n}\n
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\n \n\n \n \n \n \n \n Measuring school-family conflict and enrichment in university student parents: a measurement validation study.\n \n \n \n\n\n \n van Rhijn, T M; Acai, A; and Lero, D S\n\n\n \n\n\n\n Can J High Educ, 48(3): 98–124. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN242,\nauthor = {van Rhijn, T M and Acai, A and Lero, D S},\njournal = {Can J High Educ},\nnumber = {3},\npages = {98--124},\ntitle = {{Measuring school-family conflict and enrichment in university student parents: a measurement validation study}},\ntype = {Journal Article},\nvolume = {48},\nyear = {2018}\n}\n
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\n \n\n \n \n \n \n \n Boot camp approach to surgical training.\n \n \n \n\n\n \n Safir, O.; Sonnadara, R.; Mironova, P.; and Rambani, R.\n\n\n \n\n\n\n Springer International Publishing, 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{RN241,\nauthor = {Safir, Oleg and Sonnadara, Ranil and Mironova, Polina and Rambani, Rohit},\ndoi = {10.1007/978-3-319-90518-1},\npublisher = {Springer International Publishing},\ntitle = {{Boot camp approach to surgical training}},\ntype = {Edited Book},\nyear = {2018}\n}\n
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\n \n\n \n \n \n \n \n A shift on the horizon: a systematic review of assessment tools for plastic surgery trainees.\n \n \n \n\n\n \n McKinnon, V; Kalun, P; Fahim, C; McRae, M H; and Sonnadara, R R\n\n\n \n\n\n\n Plast Reconstr Surg, 142(2): 217e–31e. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN223,\nauthor = {McKinnon, V and Kalun, P and Fahim, C and McRae, M H and Sonnadara, R R},\ndoi = {10.1097/PRS.0000000000004586},\njournal = {Plast Reconstr Surg},\nnumber = {2},\npages = {217e--31e},\ntitle = {{A shift on the horizon: a systematic review of assessment tools for plastic surgery trainees}},\ntype = {Journal Article},\nvolume = {142},\nyear = {2018}\n}\n
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\n \n\n \n \n \n \n \n Progressive thresholding: shaping in automated neurofeedback training.\n \n \n \n\n\n \n Dhindsa, K; Gauder, K; Marszalek, K; Terpou, B; and Becker, S\n\n\n \n\n\n\n IEEE Trans Neural Syst Rehabil Eng, —. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN237,\nauthor = {Dhindsa, K and Gauder, K and Marszalek, K and Terpou, B and Becker, S},\njournal = {IEEE Trans Neural Syst Rehabil Eng},\ntitle = {{Progressive thresholding: shaping in automated neurofeedback training}},\ntype = {Journal Article},\nvolume = {—},\nyear = {2018}\n}\n
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\n \n\n \n \n \n \n \n \n Getting with the times: a narrative review of the literature on group decision making in virtual environments and implications for promotions committees.\n \n \n \n \n\n\n \n Acai, A; Sonnadara, R R; and O'Neill, T A\n\n\n \n\n\n\n Perspect Med Educ, 7(3): 147–155. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"GettingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN227,\nauthor = {Acai, A and Sonnadara, R R and O'Neill, T A},\ndoi = {10.1007/s40037-018-0434-9},\nissn = {2212-2761},\njournal = {Perspect Med Educ},\nnumber = {3},\npages = {147--155},\ntitle = {{Getting with the times: a narrative review of the literature on group decision making in virtual environments and implications for promotions committees}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {7},\nyear = {2018}\n}\n
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\n \n\n \n \n \n \n \n Surgical simulation training in orthopedics: current insights.\n \n \n \n\n\n \n Kalun, P; Wagner, N; Yan, J; Nousiainen, M T; and Sonnadara, R R\n\n\n \n\n\n\n Adv Med Educ Pract, 9: 125–131. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN221,\nauthor = {Kalun, P and Wagner, N and Yan, J and Nousiainen, M T and Sonnadara, R R},\ndoi = {10.2147/AMEP.S138758},\njournal = {Adv Med Educ Pract},\npages = {125--131},\ntitle = {{Surgical simulation training in orthopedics: current insights}},\ntype = {Journal Article},\nvolume = {9},\nyear = {2018}\n}\n
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\n \n\n \n \n \n \n \n Grading prenatal hydronephrosis from ultrasound imaging using deep convolutional neural networks.\n \n \n \n\n\n \n Dhindsa, K; Smail, L C; McGrath, M; Braga, L H; Becker, S; and Sonnadara, R R\n\n\n \n\n\n\n 15th Conference on Computer and Robot and Vision, —. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN224,\nauthor = {Dhindsa, K and Smail, L C and McGrath, M and Braga, L H and Becker, S and Sonnadara, R R},\njournal = {15th Conference on Computer and Robot and Vision},\ntitle = {{Grading prenatal hydronephrosis from ultrasound imaging using deep convolutional neural networks}},\ntype = {Journal Article},\nvolume = {—},\nyear = {2018}\n}\n
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\n \n\n \n \n \n \n \n Evaluating the reliability of a tool to measure the quality of gastrointestinal multidisciplinary cancer conferences: a generalizability study.\n \n \n \n\n\n \n Fahim, C; Ratcliffe, J; McConnell, M; Sonnadara, R R; and Simunovic, M\n\n\n \n\n\n\n J Patient Saf Risk Manag, —. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN244,\nauthor = {Fahim, C and Ratcliffe, J and McConnell, M and Sonnadara, R R and Simunovic, M},\njournal = {J Patient Saf Risk Manag},\ntitle = {{Evaluating the reliability of a tool to measure the quality of gastrointestinal multidisciplinary cancer conferences: a generalizability study}},\ntype = {Journal Article},\nvolume = {—},\nyear = {2018}\n}\n
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\n \n\n \n \n \n \n \n \n Assessment of technical skills competence in the operating room: a systematic and scoping review.\n \n \n \n \n\n\n \n Fahim, C; Wagner, N; Nousiainen, M T; and Sonnadara, R R\n\n\n \n\n\n\n Acad Med, 93(5): 794–808. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"AssessmentPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN145,\nauthor = {Fahim, C and Wagner, N and Nousiainen, M T and Sonnadara, R R},\ndoi = {10.1097/ACM.0000000000001902},\nissn = {1938-808X},\njournal = {Acad Med},\nnumber = {5},\npages = {794--808},\ntitle = {{Assessment of technical skills competence in the operating room: a systematic and scoping review}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/28953567},\nvolume = {93},\nyear = {2017}\n}\n
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\n \n\n \n \n \n \n \n \n Evaluation of a physiatrist-directed prehabilitation intervention in frail patients with colorectal cancer: a randomised pilot study protocol.\n \n \n \n \n\n\n \n Wong, S G; Maida, E; Harvey, D; Wagner, N; Sonnadara, R R; and Amin, N\n\n\n \n\n\n\n BMJ Open, 7(6): e015565. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"EvaluationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN147,\nauthor = {Wong, S G and Maida, E and Harvey, D and Wagner, N and Sonnadara, R R and Amin, N},\ndoi = {10.1136/bmjopen-2016-015565},\nissn = {2044-6055},\njournal = {BMJ Open},\nnumber = {6},\npages = {e015565},\ntitle = {{Evaluation of a physiatrist-directed prehabilitation intervention in frail patients with colorectal cancer: a randomised pilot study protocol}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/28600373},\nvolume = {7},\nyear = {2017}\n}\n
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\n \n\n \n \n \n \n \n \n Success in student-faculty/staff SoTL partnerships: motivations, challenges, power, and definitions.\n \n \n \n \n\n\n \n Acai, A; Akesson, B; Allen, M; Chen, V; Mathany, C; McCollum, B; Spencer, J; and Verwoord, R E M\n\n\n \n\n\n\n Can J Scholarsh Teach Learn, 8(2). 2017.\n \n\n\n\n
\n\n\n\n \n \n \"SuccessPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN230,\nauthor = {Acai, A and Akesson, B and Allen, M and Chen, V and Mathany, C and McCollum, B and Spencer, J and Verwoord, R E M},\nissn = {1918-2902},\njournal = {Can J Scholarsh Teach Learn},\nnumber = {2},\ntitle = {{Success in student-faculty/staff SoTL partnerships: motivations, challenges, power, and definitions}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {8},\nyear = {2017}\n}\n
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\n \n\n \n \n \n \n \n \n Using art for the development of teamwork and communication skills among health professionals: a literature review.\n \n \n \n \n\n\n \n Acai, A; McQueen, S A; McKinnon, V; and Sonnadara, R R\n\n\n \n\n\n\n Arts & Health, 9(1): 60–72. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"UsingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN231,\nauthor = {Acai, A and McQueen, S A and McKinnon, V and Sonnadara, R R},\ndoi = {10.1080/17533015.2016.1182565},\nissn = {1753-3015},\njournal = {Arts {\\&} Health},\nnumber = {1},\npages = {60--72},\ntitle = {{Using art for the development of teamwork and communication skills among health professionals: a literature review}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {9},\nyear = {2017}\n}\n
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\n \n\n \n \n \n \n \n Reflections on an international “Change Institute” for students as partners: a student perspective.\n \n \n \n\n\n \n Acai, A; Kirby, S; and Shammas, R\n\n\n \n\n\n\n Int J Stud Partn, 1(1). 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN218,\nauthor = {Acai, A and Kirby, S and Shammas, R},\njournal = {Int J Stud Partn},\nnumber = {1},\ntitle = {{Reflections on an international “Change Institute” for students as partners: a student perspective}},\ntype = {Journal Article},\nvolume = {1},\nyear = {2017}\n}\n
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\n \n\n \n \n \n \n \n \n Toward an open-ended BCI: a user-centered coadaptive design.\n \n \n \n \n\n\n \n Dhindsa, K; Carcone, D; and Becker, S\n\n\n \n\n\n\n Neural Comput, 29(10): 2742–2768. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"TowardPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN95,\nauthor = {Dhindsa, K and Carcone, D and Becker, S},\ndoi = {10.1162/NECO_a_01001},\nissn = {0899-7667},\njournal = {Neural Comput},\nnumber = {10},\npages = {2742--2768},\ntitle = {{Toward an open-ended BCI: a user-centered coadaptive design}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {29},\nyear = {2017}\n}\n
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\n \n\n \n \n \n \n \n \n Otolaryngology residency education: a scoping review on the shift towards competency-based medical education.\n \n \n \n \n\n\n \n Wagner, N; Fahim, C; Dunn, K; Reid, D; and Sonnadara, R R\n\n\n \n\n\n\n Clin Otolaryngol, 42(3): 564–572. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"OtolaryngologyPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN206,\nauthor = {Wagner, N and Fahim, C and Dunn, K and Reid, D and Sonnadara, R R},\ndoi = {10.1111/coa.12772},\nissn = {1749-4486},\njournal = {Clin Otolaryngol},\nnumber = {3},\npages = {564--572},\ntitle = {{Otolaryngology residency education: a scoping review on the shift towards competency-based medical education}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/27754613},\nvolume = {42},\nyear = {2017}\n}\n
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\n \n\n \n \n \n \n \n Filter-bank artifact rejection: high performance real-time single-channel artifact detection for EEG.\n \n \n \n\n\n \n Dhindsa, K\n\n\n \n\n\n\n Biomed Signal Process Control, 38: 224–235. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN219,\nauthor = {Dhindsa, K},\ndoi = {10.1016/j.bspc.2017.06.012},\njournal = {Biomed Signal Process Control},\npages = {224--235},\ntitle = {{Filter-bank artifact rejection: high performance real-time single-channel artifact detection for EEG}},\ntype = {Journal Article},\nvolume = {38},\nyear = {2017}\n}\n
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\n \n\n \n \n \n \n \n \n Development and early piloting of a CanMEDS competency-based feedback tool for surgical grand rounds.\n \n \n \n \n\n\n \n Fahim, C; Bhandari, M; Yang, I; and Sonnadara, R R\n\n\n \n\n\n\n J Surg Educ, 73(3): 409–415. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"DevelopmentPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN146,\nauthor = {Fahim, C and Bhandari, M and Yang, I and Sonnadara, R R},\ndoi = {10.1016/j.jsurg.2015.12.003},\nissn = {1878-7452},\njournal = {J Surg Educ},\nnumber = {3},\npages = {409--415},\ntitle = {{Development and early piloting of a CanMEDS competency-based feedback tool for surgical grand rounds}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/26896145},\nvolume = {73},\nyear = {2016}\n}\n
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\n \n\n \n \n \n \n \n \n Examining the barriers to meaningful assessment and feedback in medical training.\n \n \n \n \n\n\n \n McQueen, S A; Petrisor, B; Bhandari, M; Fahim, C; McKinnon, V; and Sonnadara, R R\n\n\n \n\n\n\n Am J Surg, 211(2): 464–475. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"ExaminingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN211,\nauthor = {McQueen, S A and Petrisor, B and Bhandari, M and Fahim, C and McKinnon, V and Sonnadara, R R},\ndoi = {10.1016/j.amjsurg.2015.10.002},\nissn = {1879-1883},\njournal = {Am J Surg},\nnumber = {2},\npages = {464--475},\ntitle = {{Examining the barriers to meaningful assessment and feedback in medical training}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/26679827},\nvolume = {211},\nyear = {2016}\n}\n
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\n \n\n \n \n \n \n \n The mind that wanders: challenges and potential benefits of mind wandering in education.\n \n \n \n\n\n \n Pachai, A A; Acai, A; LoGuidice, A B; and Kim, J A\n\n\n \n\n\n\n Scholarship of Teaching and Learning in Psychology, 2(2): 134–146. 2016.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN217,\nauthor = {Pachai, A A and Acai, A and LoGuidice, A B and Kim, J A},\ndoi = {10.1037/stl0000060},\njournal = {Scholarship of Teaching and Learning in Psychology},\nnumber = {2},\npages = {134--146},\ntitle = {{The mind that wanders: challenges and potential benefits of mind wandering in education}},\ntype = {Journal Article},\nvolume = {2},\nyear = {2016}\n}\n
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\n \n\n \n \n \n \n \n \n Simulation for teaching orthopaedic residents in a competency-based curriculum: do the benefits justify the increased costs?.\n \n \n \n \n\n\n \n Nousiainen, M T; McQueen, S A; Ferguson, P; Alman, B; Kraemer, W; Safir, O; Reznick, R K; and Sonnadara, R R\n\n\n \n\n\n\n Clin Orthop Relat Res, 474(4): 935–944. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"SimulationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN213,\nauthor = {Nousiainen, M T and McQueen, S A and Ferguson, P and Alman, B and Kraemer, W and Safir, O and Reznick, R K and Sonnadara, R R},\ndoi = {10.1007/s11999-015-4512-6},\nissn = {1528-1132},\njournal = {Clin Orthop Relat Res},\nnumber = {4},\npages = {935--944},\ntitle = {{Simulation for teaching orthopaedic residents in a competency-based curriculum: do the benefits justify the increased costs?}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/26335344},\nvolume = {474},\nyear = {2016}\n}\n
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\n \n\n \n \n \n \n \n \n Collaborative case conferences in rectal cancer: case series in a tertiary care centre.\n \n \n \n \n\n\n \n Eskicioglu, C; Forbes, S; Tsai, S; Francescutti, V; Coates, A; Grubac, V; Sonnadara, R R; and Simunovic, M\n\n\n \n\n\n\n Curr Oncol, 23(2): E138–43. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"CollaborativePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN124,\nauthor = {Eskicioglu, C and Forbes, S and Tsai, S and Francescutti, V and Coates, A and Grubac, V and Sonnadara, R R and Simunovic, M},\ndoi = {10.3747/co.23.2894},\nissn = {1198-0052},\njournal = {Curr Oncol},\nnumber = {2},\npages = {E138--43},\ntitle = {{Collaborative case conferences in rectal cancer: case series in a tertiary care centre}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {23},\nyear = {2016}\n}\n
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\n \n\n \n \n \n \n \n \n \"It's not the form; it's the process': a phenomenological study on the use of creative professional development workshops to improve teamwork and communication skills.\n \n \n \n \n\n\n \n Acai, A; McQueen, S A; Fahim, C; Wagner, N; McKinnon, V; Boston, J; Maxwell, C; and Sonnadara, R R\n\n\n \n\n\n\n Med Humanit, 42(3): 173–180. 2016.\n \n\n\n\n
\n\n\n\n \n \n \""It'sPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN232,\nauthor = {Acai, A and McQueen, S A and Fahim, C and Wagner, N and McKinnon, V and Boston, J and Maxwell, C and Sonnadara, R R},\ndoi = {10.1136/medhum-2015-010862},\nissn = {1468-215X},\njournal = {Med Humanit},\nnumber = {3},\npages = {173--180},\ntitle = {{"It's not the form; it's the process': a phenomenological study on the use of creative professional development workshops to improve teamwork and communication skills}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {42},\nyear = {2016}\n}\n
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\n  \n 2015\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n Performance of case-control rare copy number variation annotation in classification of autism.\n \n \n \n\n\n \n Engchuan, W; Dhindsa, K; Lionel, A C; Scherer, S W; Chan, J H; and Merico, D\n\n\n \n\n\n\n BMC Med Genomics, 8(Suppl 1): S7. 2015.\n \n\n\n\n
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@article{RN220,\nauthor = {Engchuan, W and Dhindsa, K and Lionel, A C and Scherer, S W and Chan, J H and Merico, D},\ndoi = {10.1186/1755-8794-8-S1-S7},\njournal = {BMC Med Genomics},\nnumber = {Suppl 1},\npages = {S7},\ntitle = {{Performance of case-control rare copy number variation annotation in classification of autism.}},\ntype = {Journal Article},\nvolume = {8},\nyear = {2015}\n}\n
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\n \n\n \n \n \n \n \n \n A comparison of factors related to university students' learning: college-transfer and direct-entry from high school students.\n \n \n \n \n\n\n \n Acai, A; and Newton, G\n\n\n \n\n\n\n Can J High Educ, 45(2): 168–192. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN233,\nauthor = {Acai, A and Newton, G},\nissn = {0316-1218},\njournal = {Can J High Educ},\nnumber = {2},\npages = {168--192},\ntitle = {{A comparison of factors related to university students' learning: college-transfer and direct-entry from high school students}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {45},\nyear = {2015}\n}\n
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\n \n\n \n \n \n \n \n \n Student-led learning: a new teaching paradigm for surgical skills.\n \n \n \n \n\n\n \n Hoogenes, J; Mironova, P; Safir, O; McQueen, S A; Abdelbary, H; Drexler, M; Nousiainen, M T; Ferguson, P; Kraemer, W; Alman, B; Reznick, R K; and Sonnadara, R R\n\n\n \n\n\n\n Am J Surg, 209(1): 107–114. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"Student-ledPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN157,\nauthor = {Hoogenes, J and Mironova, P and Safir, O and McQueen, S A and Abdelbary, H and Drexler, M and Nousiainen, M T and Ferguson, P and Kraemer, W and Alman, B and Reznick, R K and Sonnadara, R R},\ndoi = {10.1016/j.amjsurg.2014.08.037},\nissn = {1879-1883},\njournal = {Am J Surg},\nnumber = {1},\npages = {107--114},\ntitle = {{Student-led learning: a new teaching paradigm for surgical skills}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/25454965},\nvolume = {209},\nyear = {2015}\n}\n
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\n  \n 2014\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n Response to: Reflections on competency-based education and training for surgical residents.\n \n \n \n \n\n\n \n Sonnadara, R R; Mui, C; McQueen, S A; Mironova, P; Nousiainen, M T; Safir, O; Kraemer, W; Ferguson, P; Alman, B; and Reznick, R K\n\n\n \n\n\n\n J Surg Educ, 71(5): 652–653. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"ResponsePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN160,\nauthor = {Sonnadara, R R and Mui, C and McQueen, S A and Mironova, P and Nousiainen, M T and Safir, O and Kraemer, W and Ferguson, P and Alman, B and Reznick, R K},\ndoi = {10.1016/j.jsurg.2014.05.018},\nissn = {1931-7204},\njournal = {J Surg Educ},\nnumber = {5},\npages = {652--653},\ntitle = {{Response to: Reflections on competency-based education and training for surgical residents}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {71},\nyear = {2014}\n}\n
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\n \n\n \n \n \n \n \n \n Letter to the editor response.\n \n \n \n \n\n\n \n Sonnadara, R R; Mui, C; McQueen, S A; Mironova, P; Nousiainen, M T; Safir, O; Kraemer, W; Ferguson, P; Alman, B; and Reznick, R K\n\n\n \n\n\n\n J Surg Educ, 71(5): 652–653. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"LetterPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN158,\nauthor = {Sonnadara, R R and Mui, C and McQueen, S A and Mironova, P and Nousiainen, M T and Safir, O and Kraemer, W and Ferguson, P and Alman, B and Reznick, R K},\ndoi = {10.1016/j.jsurg.2014.05.018},\nissn = {1878-7452},\njournal = {J Surg Educ},\nnumber = {5},\npages = {652--653},\ntitle = {{Letter to the editor response}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/25123907},\nvolume = {71},\nyear = {2014}\n}\n
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\n \n\n \n \n \n \n \n \n Design and validation of an assessment tool for open surgical procedures.\n \n \n \n \n\n\n \n Rittenhouse, N; Sharma, B; Sonnadara, R R; Mihailidis, A; and Grantcharov, T\n\n\n \n\n\n\n Surg Endosc, 28(3): 918–924. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"DesignPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN151,\nauthor = {Rittenhouse, N and Sharma, B and Sonnadara, R R and Mihailidis, A and Grantcharov, T},\ndoi = {10.1007/s00464-013-3247-2},\nissn = {1432-2218},\njournal = {Surg Endosc},\nnumber = {3},\npages = {918--924},\ntitle = {{Design and validation of an assessment tool for open surgical procedures}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/24149852},\nvolume = {28},\nyear = {2014}\n}\n
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\n \n\n \n \n \n \n \n \n Examining the role of the temporo-parietal network in memory, imagery, and viewpoint transformations.\n \n \n \n \n\n\n \n Dhindsa, K; Drobinin, V; King, J; Hall, G B; Burgess, N; and Becker, S\n\n\n \n\n\n\n Front Hum Neurosci, 8. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"ExaminingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN96,\nauthor = {Dhindsa, K and Drobinin, V and King, J and Hall, G B and Burgess, N and Becker, S},\ndoi = {ARTN 709 10.3389/fnhum.2014.00709},\nissn = {1662-5161},\njournal = {Front Hum Neurosci},\ntitle = {{Examining the role of the temporo-parietal network in memory, imagery, and viewpoint transformations}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {8},\nyear = {2014}\n}\n
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\n \n\n \n \n \n \n \n \n Student use and pedagogical impact of a mobile learning application.\n \n \n \n \n\n\n \n Teri, S.; Acai, A.; Griffith, D.; Mahmoud, Q.; Ma, D. W L; and Newton, G.\n\n\n \n\n\n\n Biochemistry and Molecular Biology Education, 42(2): 121–135. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"StudentPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN234,\nauthor = {Teri, Saskia and Acai, Anita and Griffith, Douglas and Mahmoud, Qusay and Ma, David W L and Newton, Genevieve},\ndoi = {10.1002/bmb.20771},\nissn = {1470-8175},\njournal = {Biochemistry and Molecular Biology Education},\nnumber = {2},\npages = {121--135},\ntitle = {{Student use and pedagogical impact of a mobile learning application}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {42},\nyear = {2014}\n}\n
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\n \n\n \n \n \n \n \n \n The University of Toronto Surgical Skills Center: An ACS accredited educational institute.\n \n \n \n \n\n\n \n Sonnadara, R R; Satterthwaite, L; and MacRae, H\n\n\n \n\n\n\n J Surg Educ, 71(2): 275–277. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN149,\nauthor = {Sonnadara, R R and Satterthwaite, L and MacRae, H},\ndoi = {10.1016/j.jsurg.2013.05.006},\nissn = {1931-7204},\njournal = {J Surg Educ},\nnumber = {2},\npages = {275--277},\ntitle = {{The University of Toronto Surgical Skills Center: An ACS accredited educational institute}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {71},\nyear = {2014}\n}\n
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\n \n\n \n \n \n \n \n \n Validation of an intraoperative assessment tool for evaluating trainees and providing feedback during robot-assisted radical prostatectomy.\n \n \n \n \n\n\n \n Morris, C; Hoogenes, J; Matsumoto, E; Sonnadara, R R; and Shayegan, B\n\n\n \n\n\n\n J Urology, 191(4): e168. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"ValidationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN104,\nauthor = {Morris, C and Hoogenes, J and Matsumoto, E and Sonnadara, R R and Shayegan, B},\ndoi = {DOI 10.1016/j.juro.2014.02.631},\nissn = {0022-5347},\njournal = {J Urology},\nnumber = {4},\npages = {e168},\ntitle = {{Validation of an intraoperative assessment tool for evaluating trainees and providing feedback during robot-assisted radical prostatectomy}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {191},\nyear = {2014}\n}\n
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\n \n\n \n \n \n \n \n \n Reflections on competency-based education and training for surgical residents.\n \n \n \n \n\n\n \n Sonnadara, R R; Mui, C; McQueen, S A; Mironova, P; Nousiainen, M T; Safir, O; Kraemer, W; Ferguson, P; Alman, B; and Reznick, R K\n\n\n \n\n\n\n J Surg Educ, 71(1): 151–158. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"ReflectionsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN159,\nauthor = {Sonnadara, R R and Mui, C and McQueen, S A and Mironova, P and Nousiainen, M T and Safir, O and Kraemer, W and Ferguson, P and Alman, B and Reznick, R K},\ndoi = {10.1016/j.jsurg.2013.06.020},\nissn = {1931-7204},\njournal = {J Surg Educ},\nnumber = {1},\npages = {151--158},\ntitle = {{Reflections on competency-based education and training for surgical residents}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {71},\nyear = {2014}\n}\n
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\n \n\n \n \n \n \n \n \n The knee arthroscopy learning curve: quantitative assessment of surgical skills.\n \n \n \n \n\n\n \n Hodgins, J L; Veillette, C; Biau, D; and Sonnadara, R R\n\n\n \n\n\n\n Arthroscopy, 30(5): 613–621. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN150,\nauthor = {Hodgins, J L and Veillette, C and Biau, D and Sonnadara, R R},\ndoi = {10.1016/j.arthro.2014.02.021},\nissn = {1526-3231},\njournal = {Arthroscopy},\nnumber = {5},\npages = {613--621},\ntitle = {{The knee arthroscopy learning curve: quantitative assessment of surgical skills}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/24725315},\nvolume = {30},\nyear = {2014}\n}\n
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\n  \n 2013\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n Reflections on current methods for evaluating skills during joint replacement surgery: a scoping review.\n \n \n \n \n\n\n \n Sonnadara, R R; McQueen, S A; Mironova, P; Safir, O; Nousiainen, M T; Ferguson, P; Alman, B; Kraemer, W; and Reznick, R K\n\n\n \n\n\n\n Bone Joint J, 95-B(11): 1445–1449. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"ReflectionsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN156,\nauthor = {Sonnadara, R R and McQueen, S A and Mironova, P and Safir, O and Nousiainen, M T and Ferguson, P and Alman, B and Kraemer, W and Reznick, R K},\ndoi = {10.1302/0301-620X.95B11.30732},\nissn = {2049-4408},\njournal = {Bone Joint J},\nnumber = {11},\npages = {1445--1449},\ntitle = {{Reflections on current methods for evaluating skills during joint replacement surgery: a scoping review}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {95-B},\nyear = {2013}\n}\n
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\n \n\n \n \n \n \n \n \n Towards development and validation of an intraoperative objective assessment tool for trainee evaluation of robot-assisted laparoscopic radical prostatectomy: results of a Delphi study to create an inventory of procedural steps.\n \n \n \n \n\n\n \n Morris, C; Hoogenes, J; Rehsia, S; Shayegan, B; Sonnadara, R R; and Matsumoto, E\n\n\n \n\n\n\n J Urology, 189(4): e641–42. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN140,\nauthor = {Morris, C and Hoogenes, J and Rehsia, S and Shayegan, B and Sonnadara, R R and Matsumoto, E},\ndoi = {DOI 10.1016/j.juro.2013.02.3093},\nissn = {0022-5347},\njournal = {J Urology},\nnumber = {4},\npages = {e641--42},\ntitle = {{Towards development and validation of an intraoperative objective assessment tool for trainee evaluation of robot-assisted laparoscopic radical prostatectomy: results of a Delphi study to create an inventory of procedural steps}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {189},\nyear = {2013}\n}\n
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\n \n\n \n \n \n \n \n \n Toronto orthopaedic boot camp III: examining the efficacy of student-regulated learning during an intensive, laboratory-based surgical skills course.\n \n \n \n \n\n\n \n Sonnadara, R R; Garbedian, S; Safir, O; Mui, C; Mironova, P; Nousiainen, M T; Ferguson, P; Alman, B; Kraemer, W; and Reznick, R K\n\n\n \n\n\n\n Surgery, 154(1): 29–33. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"TorontoPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN154,\nauthor = {Sonnadara, R R and Garbedian, S and Safir, O and Mui, C and Mironova, P and Nousiainen, M T and Ferguson, P and Alman, B and Kraemer, W and Reznick, R K},\ndoi = {10.1016/j.surg.2013.05.003},\nissn = {1532-7361},\njournal = {Surgery},\nnumber = {1},\npages = {29--33},\ntitle = {{Toronto orthopaedic boot camp III: examining the efficacy of student-regulated learning during an intensive, laboratory-based surgical skills course}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/23809482},\nvolume = {154},\nyear = {2013}\n}\n
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\n \n\n \n \n \n \n \n \n Three-year experience with an innovative, modular competency-based curriculum for orthopaedic training.\n \n \n \n \n\n\n \n Ferguson, P C; Kraemer, W; Nousiainen, M T; Safir, O; Sonnadara, R R; Alman, B; and Reznick, R K\n\n\n \n\n\n\n J Bone Joint Surg Am, 95(21): e166. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"Three-yearPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN161,\nauthor = {Ferguson, P C and Kraemer, W and Nousiainen, M T and Safir, O and Sonnadara, R R and Alman, B and Reznick, R K},\ndoi = {10.2106/JBJS.M.00314},\nissn = {1535-1386},\njournal = {J Bone Joint Surg Am},\nnumber = {21},\npages = {e166},\ntitle = {{Three-year experience with an innovative, modular competency-based curriculum for orthopaedic training}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/24196478},\nvolume = {95},\nyear = {2013}\n}\n
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\n  \n 2012\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Orthopaedic Boot Camp II: examining the retention rates of an intensive surgical skills course.\n \n \n \n \n\n\n \n Sonnadara, R R; Garbedian, S; Safir, O; Nousiainen, M T; Alman, B; Ferguson, P; Kraemer, W; and Reznick, R K\n\n\n \n\n\n\n Surgery, 151(6): 803–807. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"OrthopaedicPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN155,\nauthor = {Sonnadara, R R and Garbedian, S and Safir, O and Nousiainen, M T and Alman, B and Ferguson, P and Kraemer, W and Reznick, R K},\ndoi = {10.1016/j.surg.2012.03.017},\nissn = {1532-7361},\njournal = {Surgery},\nnumber = {6},\npages = {803--807},\ntitle = {{Orthopaedic Boot Camp II: examining the retention rates of an intensive surgical skills course}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/22652121},\nvolume = {151},\nyear = {2012}\n}\n
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\n \n\n \n \n \n \n \n \n A novel multimodal platform for assessing surgical technical skills.\n \n \n \n \n\n\n \n Sonnadara, R R; Rittenhouse, N; Khan, A; Mihailidis, A; Drozdzal, G; Safir, O; and Leung, S O\n\n\n \n\n\n\n Am J Surg, 203(1): 32–36. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN143,\nauthor = {Sonnadara, R R and Rittenhouse, N and Khan, A and Mihailidis, A and Drozdzal, G and Safir, O and Leung, S O},\ndoi = {10.1016/j.amjsurg.2011.08.008},\nissn = {1879-1883},\njournal = {Am J Surg},\nnumber = {1},\npages = {32--36},\ntitle = {{A novel multimodal platform for assessing surgical technical skills}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {203},\nyear = {2012}\n}\n
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\n  \n 2011\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Orthopedic boot camp: examining the effectiveness of an intensive surgical skills course.\n \n \n \n \n\n\n \n Sonnadara, R R; Van Vliet, A; Safir, O; Alman, B; Ferguson, P; Kraemer, W; and Reznick, R R\n\n\n \n\n\n\n Surgery, 149(6): 745–749. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"OrthopedicPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN214,\nauthor = {Sonnadara, R R and {Van Vliet}, A and Safir, O and Alman, B and Ferguson, P and Kraemer, W and Reznick, R R},\ndoi = {10.1016/j.surg.2010.11.011},\nissn = {1532-7361},\njournal = {Surgery},\nnumber = {6},\npages = {745--749},\ntitle = {{Orthopedic boot camp: examining the effectiveness of an intensive surgical skills course}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {149},\nyear = {2011}\n}\n
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\n  \n 2010\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Surgical boot camp: a novel approach to teaching basic technical skills to surgical trainees.\n \n \n \n \n\n\n \n Sonnadara, R R; Van Vliet, A; Safir, O; Burkitt, J; and Reznick, R K\n\n\n \n\n\n\n J Sport Exercise Psy, 32: S130. 2010.\n \n\n\n\n
\n\n\n\n \n \n \"SurgicalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN215,\nauthor = {Sonnadara, R R and {Van Vliet}, A and Safir, O and Burkitt, J and Reznick, R K},\nissn = {0895-2779},\njournal = {J Sport Exercise Psy},\npages = {S130},\ntitle = {{Surgical boot camp: a novel approach to teaching basic technical skills to surgical trainees}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {32},\nyear = {2010}\n}\n
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\n  \n 2009\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Spatial properties of perceived pitch: influence on reaching movements.\n \n \n \n \n\n\n \n Sonnadara, R R; Gonzalez, D A; Hansen, S; Elliott, D; and Lyons, J L\n\n\n \n\n\n\n Ann N Y Acad Sci, 1169: 503–507. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"SpatialPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN202,\nauthor = {Sonnadara, R R and Gonzalez, D A and Hansen, S and Elliott, D and Lyons, J L},\ndoi = {10.1111/j.1749-6632.2009.04858.x},\nissn = {1749-6632},\njournal = {Ann N Y Acad Sci},\npages = {503--507},\ntitle = {{Spatial properties of perceived pitch: influence on reaching movements}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/19673831},\nvolume = {1169},\nyear = {2009}\n}\n
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\n  \n 2008\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Are you sure you heard that right?.\n \n \n \n \n\n\n \n Gonzalez, D A; Rotteau, T O; Sonnadara, R R; Hansen, S; Burkitt, J; Gruevski, K; D'Amore, A; and Lyons, J\n\n\n \n\n\n\n J Sport Exercise Psy, 30: S81–2. 2008.\n \n\n\n\n
\n\n\n\n \n \n \"ArePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN148,\nauthor = {Gonzalez, D A and Rotteau, T O and Sonnadara, R R and Hansen, S and Burkitt, J and Gruevski, K and D'Amore, A and Lyons, J},\nissn = {0895-2779},\njournal = {J Sport Exercise Psy},\npages = {S81--2},\ntitle = {{Are you sure you heard that right?}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {30},\nyear = {2008}\n}\n
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\n  \n 2006\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Occasional changes in sound location enhance middle latency evoked responses.\n \n \n \n \n\n\n \n Sonnadara, R R; Alain, C; and Trainor, L J\n\n\n \n\n\n\n Brain Res, 1076(1): 187–192. 2006.\n \n\n\n\n
\n\n\n\n \n \n \"OccasionalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN207,\nauthor = {Sonnadara, R R and Alain, C and Trainor, L J},\ndoi = {10.1016/j.brainres.2005.12.093},\nissn = {0006-8993},\njournal = {Brain Res},\nnumber = {1},\npages = {187--192},\ntitle = {{Occasional changes in sound location enhance middle latency evoked responses}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/16487494},\nvolume = {1076},\nyear = {2006}\n}\n
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\n \n\n \n \n \n \n \n \n Effects of spatial separation and stimulus probability on the event-related potentials elicited by occasional changes in sound location.\n \n \n \n \n\n\n \n Sonnadara, R R; Alain, C; and Trainor, L J\n\n\n \n\n\n\n Brain Res, 1071(1): 175–185. 2006.\n \n\n\n\n
\n\n\n\n \n \n \"EffectsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN210,\nauthor = {Sonnadara, R R and Alain, C and Trainor, L J},\ndoi = {10.1016/j.brainres.2005.11.088},\nissn = {0006-8993},\njournal = {Brain Res},\nnumber = {1},\npages = {175--185},\ntitle = {{Effects of spatial separation and stimulus probability on the event-related potentials elicited by occasional changes in sound location}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/16406012},\nvolume = {1071},\nyear = {2006}\n}\n
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\n  \n 2005\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Perceived intensity effects in the octave illusion.\n \n \n \n \n\n\n \n Sonnadara, R R; and Trainor, L J\n\n\n \n\n\n\n Percept Psychophys, 67(4): 648–658. 2005.\n \n\n\n\n
\n\n\n\n \n \n \"PerceivedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN208,\nauthor = {Sonnadara, R R and Trainor, L J},\nissn = {0031-5117},\njournal = {Percept Psychophys},\nnumber = {4},\npages = {648--658},\ntitle = {{Perceived intensity effects in the octave illusion}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/16134458},\nvolume = {67},\nyear = {2005}\n}\n
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\n  \n 2004\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Development of a flexible, realistic hearing in noise test environment (R-HINT-E).\n \n \n \n \n\n\n \n Trainor, L J; Sonnadara, R R; Wiklund, K; Bondy, J; Gupta, S; Becker, S; Bruce, I C; and Haykin, S\n\n\n \n\n\n\n Signal Process, 84(2): 299–309. 2004.\n \n\n\n\n
\n\n\n\n \n \n \"DevelopmentPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN111,\nauthor = {Trainor, L J and Sonnadara, R R and Wiklund, K and Bondy, J and Gupta, S and Becker, S and Bruce, I C and Haykin, S},\ndoi = {10.1016/j.sigpro.2003.10.013},\nissn = {0165-1684},\njournal = {Signal Process},\nnumber = {2},\npages = {299--309},\ntitle = {{Development of a flexible, realistic hearing in noise test environment (R-HINT-E)}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {84},\nyear = {2004}\n}\n
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\n \n\n \n \n \n \n \n \n R-HINT-E: a realistic hearing in noise test environment.\n \n \n \n \n\n\n \n Wiklund, K; Sonnadara, R R; Trainor, L J; and Haykin, S\n\n\n \n\n\n\n 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol IV, Proceedings,5–8. 2004.\n \n\n\n\n
\n\n\n\n \n \n \"R-HINT-E:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN152,\nauthor = {Wiklund, K and Sonnadara, R R and Trainor, L J and Haykin, S},\njournal = {2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol IV, Proceedings},\npages = {5--8},\ntitle = {{R-HINT-E: a realistic hearing in noise test environment}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nyear = {2004}\n}\n
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\n  \n 2003\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n MMN elicited by changes in sound location is moderated by location and probability of the occasional stimulus.\n \n \n \n \n\n\n \n Sonnadara, R R; Alain, C; and Trainor, L J\n\n\n \n\n\n\n Psychophysiology, 40: S83. 2003.\n \n\n\n\n
\n\n\n\n \n \n \"MMNPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN204,\nauthor = {Sonnadara, R R and Alain, C and Trainor, L J},\nissn = {0048-5772},\njournal = {Psychophysiology},\npages = {S83},\ntitle = {{MMN elicited by changes in sound location is moderated by location and probability of the occasional stimulus}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {40},\nyear = {2003}\n}\n
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\n \n\n \n \n \n \n \n \n Development of mismatch negativity between 2 and 6 months of age in a gap detection task.\n \n \n \n \n\n\n \n Trainor, L J; Darragh, L; and Sonnadara, R R\n\n\n \n\n\n\n Psychophysiology, 40: S85. 2003.\n \n\n\n\n
\n\n\n\n \n \n \"DevelopmentPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN144,\nauthor = {Trainor, L J and Darragh, L and Sonnadara, R R},\nissn = {0048-5772},\njournal = {Psychophysiology},\npages = {S85},\ntitle = {{Development of mismatch negativity between 2 and 6 months of age in a gap detection task}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {40},\nyear = {2003}\n}\n
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\n \n\n \n \n \n \n \n \n Changes in auditory cortex and the development of mismatch negativity between 2 and 6 months of age.\n \n \n \n \n\n\n \n Trainor, L J; McFadden, M; Hodgson, L; Darragh, L; Barlow, J; Matsos, L; and Sonnadara, R R\n\n\n \n\n\n\n Int J Psychophysiol, 51(1): 5–15. 2003.\n \n\n\n\n
\n\n\n\n \n \n \"ChangesPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN153,\nauthor = {Trainor, L J and McFadden, M and Hodgson, L and Darragh, L and Barlow, J and Matsos, L and Sonnadara, R R},\nissn = {0167-8760},\njournal = {Int J Psychophysiol},\nnumber = {1},\npages = {5--15},\ntitle = {{Changes in auditory cortex and the development of mismatch negativity between 2 and 6 months of age}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {51},\nyear = {2003}\n}\n
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\n  \n 2001\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Measuring temporal resolution in infants with mismatch negativity.\n \n \n \n \n\n\n \n Trainor, L J; Sonnadara, R R; Samuel, S S; and Hallam, J\n\n\n \n\n\n\n Psychophysiology, 38: S95. 2001.\n \n\n\n\n
\n\n\n\n \n \n \"MeasuringPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN162,\nauthor = {Trainor, L J and Sonnadara, R R and Samuel, S S and Hallam, J},\nissn = {0048-5772},\njournal = {Psychophysiology},\npages = {S95},\ntitle = {{Measuring temporal resolution in infants with mismatch negativity}},\ntype = {Journal Article},\nurl = {{\\%}3CGo to},\nvolume = {38},\nyear = {2001}\n}\n
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\n \n\n \n \n \n \n \n \n Measuring temporal resolution in infants using mismatch negativity.\n \n \n \n \n\n\n \n Trainor, L J; Samuel, S S; Desjardins, R N; and Sonnadara, R R\n\n\n \n\n\n\n Neuroreport, 12(11): 2443–2448. 2001.\n \n\n\n\n
\n\n\n\n \n \n \"MeasuringPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{RN205,\nauthor = {Trainor, L J and Samuel, S S and Desjardins, R N and Sonnadara, R R},\nissn = {0959-4965},\njournal = {Neuroreport},\nnumber = {11},\npages = {2443--2448},\ntitle = {{Measuring temporal resolution in infants using mismatch negativity}},\ntype = {Journal Article},\nurl = {https://www.ncbi.nlm.nih.gov/pubmed/11496126},\nvolume = {12},\nyear = {2001}\n}\n
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