@article{anandarajah_cognitive_2020,
	title = {Cognitive {Deficits} and {Altered} {Functional} {Brain} {Network} {Organization} in {Pediatric} {Brain} {Tumor} {Patients}},
	copyright = {© 2020, Posted by Cold Spring Harbor Laboratory. This pre-print is available under a Creative Commons License (Attribution-NonCommercial-NoDerivs 4.0 International), CC BY-NC-ND 4.0, as described at http://creativecommons.org/licenses/by-nc-nd/4.0/},
	url = {https://www.biorxiv.org/content/10.1101/2020.04.22.055459v2},
	doi = {10.1101/2020.04.22.055459},
	abstract = {Pediatric brain tumor survivors experience significant cognitive sequelae from their diagnosis and treatment. The exact mechanisms of cognitive injury are poorly understood, and validated predictors of long-term cognitive outcome are lacking. Large-scale, distributed brain systems provide a window into brain organization and function that may yield insight into these mechanisms and outcomes.{\textless}/p{\textgreater}{\textless}p{\textgreater}Here, we evaluated functional network architecture, cognitive performance, and brain-behavior relationships in pediatric brain tumor patients. Patients ages 4-18 years old with diagnosis of a brain tumor underwent awake resting state fMRI during regularly scheduled clinical visits and were tested with the NIH Toolbox Cognition Battery. We observed that functional network organization was significantly altered in patients compared to age- and sex-matched healthy controls, with the integrity of the dorsal attention network particularly affected. Moreover, patients demonstrated significant impairments in multiple domains of cognitive performance, including attention. Finally, a significant amount of variance of age-adjusted total composite scores from the Toolbox was explained by changes in segregation between the dorsal attention and default mode networks.{\textless}/p{\textgreater}{\textless}p{\textgreater}Our results suggest that changes in functional network organization may provide insight into long-term changes in cognitive function in pediatric brain tumor patients.{\textless}/p{\textgreater}},
	language = {en},
	urldate = {2020-11-11},
	journal = {bioRxiv},
	author = {Anandarajah, Hari and Seitzman, Benjamin A. and McMichael, Alana and Dworetsky, Ally and Coalson, Rebecca S. and Jiang, Catherine and Gu, Hongjie and {Barbour, D. L.} and Schlaggar, Bradley L. and Limbrick, David D. and Rubin, Joshua B. and Shimony, Joshua S. and Perkins, Stephanie M.},
	month = may,
	year = {2020},
	note = {Publisher: Cold Spring Harbor Laboratory
Section: New Results},
	pages = {2020.04.22.055459},
}

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This pre-print is available under a Creative Commons License (Attribution-NonCommercial-NoDerivs 4.0 International), CC BY-NC-ND 4.0, as described at http://creativecommons.org/licenses/by-nc-nd/4.0/","url":"https://www.biorxiv.org/content/10.1101/2020.04.22.055459v2","doi":"10.1101/2020.04.22.055459","abstract":"Pediatric brain tumor survivors experience significant cognitive sequelae from their diagnosis and treatment. The exact mechanisms of cognitive injury are poorly understood, and validated predictors of long-term cognitive outcome are lacking. Large-scale, distributed brain systems provide a window into brain organization and function that may yield insight into these mechanisms and outcomes.\\textless/p\\textgreater\\textlessp\\textgreaterHere, we evaluated functional network architecture, cognitive performance, and brain-behavior relationships in pediatric brain tumor patients. Patients ages 4-18 years old with diagnosis of a brain tumor underwent awake resting state fMRI during regularly scheduled clinical visits and were tested with the NIH Toolbox Cognition Battery. We observed that functional network organization was significantly altered in patients compared to age- and sex-matched healthy controls, with the integrity of the dorsal attention network particularly affected. Moreover, patients demonstrated significant impairments in multiple domains of cognitive performance, including attention. Finally, a significant amount of variance of age-adjusted total composite scores from the Toolbox was explained by changes in segregation between the dorsal attention and default mode networks.\\textless/p\\textgreater\\textlessp\\textgreaterOur results suggest that changes in functional network organization may provide insight into long-term changes in cognitive function in pediatric brain tumor patients.\\textless/p\\textgreater","language":"en","urldate":"2020-11-11","journal":"bioRxiv","author":[{"propositions":[],"lastnames":["Anandarajah"],"firstnames":["Hari"],"suffixes":[]},{"propositions":[],"lastnames":["Seitzman"],"firstnames":["Benjamin","A."],"suffixes":[]},{"propositions":[],"lastnames":["McMichael"],"firstnames":["Alana"],"suffixes":[]},{"propositions":[],"lastnames":["Dworetsky"],"firstnames":["Ally"],"suffixes":[]},{"propositions":[],"lastnames":["Coalson"],"firstnames":["Rebecca","S."],"suffixes":[]},{"propositions":[],"lastnames":["Jiang"],"firstnames":["Catherine"],"suffixes":[]},{"propositions":[],"lastnames":["Gu"],"firstnames":["Hongjie"],"suffixes":[]},{"firstnames":[],"propositions":[],"lastnames":["Barbour, D. L."],"suffixes":[]},{"propositions":[],"lastnames":["Schlaggar"],"firstnames":["Bradley","L."],"suffixes":[]},{"propositions":[],"lastnames":["Limbrick"],"firstnames":["David","D."],"suffixes":[]},{"propositions":[],"lastnames":["Rubin"],"firstnames":["Joshua","B."],"suffixes":[]},{"propositions":[],"lastnames":["Shimony"],"firstnames":["Joshua","S."],"suffixes":[]},{"propositions":[],"lastnames":["Perkins"],"firstnames":["Stephanie","M."],"suffixes":[]}],"month":"May","year":"2020","note":"Publisher: Cold Spring Harbor Laboratory Section: New Results","pages":"2020.04.22.055459","bibtex":"@article{anandarajah_cognitive_2020,\n\ttitle = {Cognitive {Deficits} and {Altered} {Functional} {Brain} {Network} {Organization} in {Pediatric} {Brain} {Tumor} {Patients}},\n\tcopyright = {© 2020, Posted by Cold Spring Harbor Laboratory. This pre-print is available under a Creative Commons License (Attribution-NonCommercial-NoDerivs 4.0 International), CC BY-NC-ND 4.0, as described at http://creativecommons.org/licenses/by-nc-nd/4.0/},\n\turl = {https://www.biorxiv.org/content/10.1101/2020.04.22.055459v2},\n\tdoi = {10.1101/2020.04.22.055459},\n\tabstract = {Pediatric brain tumor survivors experience significant cognitive sequelae from their diagnosis and treatment. The exact mechanisms of cognitive injury are poorly understood, and validated predictors of long-term cognitive outcome are lacking. Large-scale, distributed brain systems provide a window into brain organization and function that may yield insight into these mechanisms and outcomes.{\\textless}/p{\\textgreater}{\\textless}p{\\textgreater}Here, we evaluated functional network architecture, cognitive performance, and brain-behavior relationships in pediatric brain tumor patients. Patients ages 4-18 years old with diagnosis of a brain tumor underwent awake resting state fMRI during regularly scheduled clinical visits and were tested with the NIH Toolbox Cognition Battery. We observed that functional network organization was significantly altered in patients compared to age- and sex-matched healthy controls, with the integrity of the dorsal attention network particularly affected. Moreover, patients demonstrated significant impairments in multiple domains of cognitive performance, including attention. Finally, a significant amount of variance of age-adjusted total composite scores from the Toolbox was explained by changes in segregation between the dorsal attention and default mode networks.{\\textless}/p{\\textgreater}{\\textless}p{\\textgreater}Our results suggest that changes in functional network organization may provide insight into long-term changes in cognitive function in pediatric brain tumor patients.{\\textless}/p{\\textgreater}},\n\tlanguage = {en},\n\turldate = {2020-11-11},\n\tjournal = {bioRxiv},\n\tauthor = {Anandarajah, Hari and Seitzman, Benjamin A. and McMichael, Alana and Dworetsky, Ally and Coalson, Rebecca S. and Jiang, Catherine and Gu, Hongjie and {Barbour, D. L.} and Schlaggar, Bradley L. and Limbrick, David D. and Rubin, Joshua B. and Shimony, Joshua S. and Perkins, Stephanie M.},\n\tmonth = may,\n\tyear = {2020},\n\tnote = {Publisher: Cold Spring Harbor Laboratory\nSection: New Results},\n\tpages = {2020.04.22.055459},\n}\n\n","author_short":["Anandarajah, H.","Seitzman, B. A.","McMichael, A.","Dworetsky, A.","Coalson, R. S.","Jiang, C.","Gu, H.","Barbour, D. L.","Schlaggar, B. L.","Limbrick, D. D.","Rubin, J. B.","Shimony, J. S.","Perkins, S. 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