@article{RN281,
   author = {Heunis, S. and Breeuwer, M. and Caballero-Gaudes, C. and Hellrung, L. and Huijbers, W. and Jansen, J. F. and Lamerichs, R. and Zinger, S. and Aldenkamp, A. P.},
   title = {The effects of multi-echo fMRI combination and rapid T2*-mapping on offline and real-time BOLD sensitivity},
   journal = {Neuroimage},
   pages = {118244},
   note = {Heunis, Stephan
Breeuwer, Marcel
Caballero-Gaudes, Cesar
Hellrung, Lydia
Huijbers, Willem
Jansen, Jacobus Fa
Lamerichs, Rolf
Zinger, Svitlana
Aldenkamp, Albert P
eng
Neuroimage. 2021 Jun 8:118244. doi: 10.1016/j.neuroimage.2021.118244.},
   abstract = {A variety of strategies are used to combine multi-echo functional magnetic resonance imaging (fMRI) data, yet recent literature lacks a systematic comparison of the available options. Here we compare six different approaches derived from multi-echo data and evaluate their influences on BOLD sensitivity for offline and in particular real-time use cases: a single-echo time series (based on Echo 2), the real-time T2*-mapped time series (T2*FIT) and four combined time series (T2*-weighted, tSNR-weighted, TE-weighted, and a new combination scheme termed T2*FIT-weighted). We compare the influences of these six multi-echo derived time series on BOLD sensitivity using a healthy participant dataset (N=28) with four task-based fMRI runs and two resting state runs. We show that the T2*FIT-weighted combination yields the largest increase in temporal signal-to-noise ratio across task and resting state runs. We demonstrate additionally for all tasks that the T2*FIT time series consistently yields the largest offline effect size measures and real-time region-of-interest based functional contrasts and temporal contrast-to-noise ratios. These improvements show the promising utility of multi-echo fMRI for studies employing real-time paradigms, while further work is advised to mitigate the decreased tSNR of the T2*FIT time series. We recommend the use and continued exploration of T2*FIT for offline task-based and real-time region-based fMRI analysis. Supporting information includes: a data repository (https://dataverse.nl/dataverse/rt-me-fmri), an interactive web-based application to explore the data (https://rt-me-fmri.herokuapp.com/), and further materials and code for reproducibility (https://github.com/jsheunis/rt-me-fMRI).},
   keywords = {Adaptive paradigms
Amygdala
Emotion processing
Finger tapping
Functional magnetic resonance imaging
Methods development
Motor
Multi-echo
Neurofeedback
Real-time
Resting state
Task
Philips Research and Philips Healthcare in The Netherlands. The other authors
have declared that no further competing interests exist.},
   ISSN = {1095-9572 (Electronic)
1053-8119 (Linking)},
   DOI = {10.1016/j.neuroimage.2021.118244},
   url = {https://www.ncbi.nlm.nih.gov/pubmed/34116148},
   year = {2021},
   type = {Journal Article}
}

{"_id":"H9jvrC9YvK2iQTCQZ","bibbaseid":"heunis-breeuwer-caballerogaudes-hellrung-huijbers-jansen-lamerichs-zinger-etal-theeffectsofmultiechofmricombinationandrapidt2mappingonofflineandrealtimeboldsensitivity-2021","author_short":["Heunis, S.","Breeuwer, M.","Caballero-Gaudes, C.","Hellrung, L.","Huijbers, W.","Jansen, J. F.","Lamerichs, R.","Zinger, S.","Aldenkamp, A. P."],"bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":[],"lastnames":["Heunis"],"firstnames":["S."],"suffixes":[]},{"propositions":[],"lastnames":["Breeuwer"],"firstnames":["M."],"suffixes":[]},{"propositions":[],"lastnames":["Caballero-Gaudes"],"firstnames":["C."],"suffixes":[]},{"propositions":[],"lastnames":["Hellrung"],"firstnames":["L."],"suffixes":[]},{"propositions":[],"lastnames":["Huijbers"],"firstnames":["W."],"suffixes":[]},{"propositions":[],"lastnames":["Jansen"],"firstnames":["J.","F."],"suffixes":[]},{"propositions":[],"lastnames":["Lamerichs"],"firstnames":["R."],"suffixes":[]},{"propositions":[],"lastnames":["Zinger"],"firstnames":["S."],"suffixes":[]},{"propositions":[],"lastnames":["Aldenkamp"],"firstnames":["A.","P."],"suffixes":[]}],"title":"The effects of multi-echo fMRI combination and rapid T2*-mapping on offline and real-time BOLD sensitivity","journal":"Neuroimage","pages":"118244","note":"Heunis, Stephan Breeuwer, Marcel Caballero-Gaudes, Cesar Hellrung, Lydia Huijbers, Willem Jansen, Jacobus Fa Lamerichs, Rolf Zinger, Svitlana Aldenkamp, Albert P eng Neuroimage. 2021 Jun 8:118244. doi: 10.1016/j.neuroimage.2021.118244.","abstract":"A variety of strategies are used to combine multi-echo functional magnetic resonance imaging (fMRI) data, yet recent literature lacks a systematic comparison of the available options. Here we compare six different approaches derived from multi-echo data and evaluate their influences on BOLD sensitivity for offline and in particular real-time use cases: a single-echo time series (based on Echo 2), the real-time T2*-mapped time series (T2*FIT) and four combined time series (T2*-weighted, tSNR-weighted, TE-weighted, and a new combination scheme termed T2*FIT-weighted). We compare the influences of these six multi-echo derived time series on BOLD sensitivity using a healthy participant dataset (N=28) with four task-based fMRI runs and two resting state runs. We show that the T2*FIT-weighted combination yields the largest increase in temporal signal-to-noise ratio across task and resting state runs. We demonstrate additionally for all tasks that the T2*FIT time series consistently yields the largest offline effect size measures and real-time region-of-interest based functional contrasts and temporal contrast-to-noise ratios. These improvements show the promising utility of multi-echo fMRI for studies employing real-time paradigms, while further work is advised to mitigate the decreased tSNR of the T2*FIT time series. We recommend the use and continued exploration of T2*FIT for offline task-based and real-time region-based fMRI analysis. Supporting information includes: a data repository (https://dataverse.nl/dataverse/rt-me-fmri), an interactive web-based application to explore the data (https://rt-me-fmri.herokuapp.com/), and further materials and code for reproducibility (https://github.com/jsheunis/rt-me-fMRI).","keywords":"Adaptive paradigms Amygdala Emotion processing Finger tapping Functional magnetic resonance imaging Methods development Motor Multi-echo Neurofeedback Real-time Resting state Task Philips Research and Philips Healthcare in The Netherlands. The other authors have declared that no further competing interests exist.","issn":"1095-9572 (Electronic) 1053-8119 (Linking)","doi":"10.1016/j.neuroimage.2021.118244","url":"https://www.ncbi.nlm.nih.gov/pubmed/34116148","year":"2021","bibtex":"@article{RN281,\n author = {Heunis, S. and Breeuwer, M. and Caballero-Gaudes, C. and Hellrung, L. and Huijbers, W. and Jansen, J. F. and Lamerichs, R. and Zinger, S. and Aldenkamp, A. P.},\n title = {The effects of multi-echo fMRI combination and rapid T2*-mapping on offline and real-time BOLD sensitivity},\n journal = {Neuroimage},\n pages = {118244},\n note = {Heunis, Stephan\nBreeuwer, Marcel\nCaballero-Gaudes, Cesar\nHellrung, Lydia\nHuijbers, Willem\nJansen, Jacobus Fa\nLamerichs, Rolf\nZinger, Svitlana\nAldenkamp, Albert P\neng\nNeuroimage. 2021 Jun 8:118244. doi: 10.1016/j.neuroimage.2021.118244.},\n abstract = {A variety of strategies are used to combine multi-echo functional magnetic resonance imaging (fMRI) data, yet recent literature lacks a systematic comparison of the available options. Here we compare six different approaches derived from multi-echo data and evaluate their influences on BOLD sensitivity for offline and in particular real-time use cases: a single-echo time series (based on Echo 2), the real-time T2*-mapped time series (T2*FIT) and four combined time series (T2*-weighted, tSNR-weighted, TE-weighted, and a new combination scheme termed T2*FIT-weighted). We compare the influences of these six multi-echo derived time series on BOLD sensitivity using a healthy participant dataset (N=28) with four task-based fMRI runs and two resting state runs. We show that the T2*FIT-weighted combination yields the largest increase in temporal signal-to-noise ratio across task and resting state runs. We demonstrate additionally for all tasks that the T2*FIT time series consistently yields the largest offline effect size measures and real-time region-of-interest based functional contrasts and temporal contrast-to-noise ratios. These improvements show the promising utility of multi-echo fMRI for studies employing real-time paradigms, while further work is advised to mitigate the decreased tSNR of the T2*FIT time series. We recommend the use and continued exploration of T2*FIT for offline task-based and real-time region-based fMRI analysis. Supporting information includes: a data repository (https://dataverse.nl/dataverse/rt-me-fmri), an interactive web-based application to explore the data (https://rt-me-fmri.herokuapp.com/), and further materials and code for reproducibility (https://github.com/jsheunis/rt-me-fMRI).},\n keywords = {Adaptive paradigms\nAmygdala\nEmotion processing\nFinger tapping\nFunctional magnetic resonance imaging\nMethods development\nMotor\nMulti-echo\nNeurofeedback\nReal-time\nResting state\nTask\nPhilips Research and Philips Healthcare in The Netherlands. The other authors\nhave declared that no further competing interests exist.},\n ISSN = {1095-9572 (Electronic)\n1053-8119 (Linking)},\n DOI = {10.1016/j.neuroimage.2021.118244},\n url = {https://www.ncbi.nlm.nih.gov/pubmed/34116148},\n year = {2021},\n type = {Journal Article}\n}\n\n","author_short":["Heunis, S.","Breeuwer, M.","Caballero-Gaudes, C.","Hellrung, L.","Huijbers, W.","Jansen, J. F.","Lamerichs, R.","Zinger, S.","Aldenkamp, A. P."],"key":"RN281","id":"RN281","bibbaseid":"heunis-breeuwer-caballerogaudes-hellrung-huijbers-jansen-lamerichs-zinger-etal-theeffectsofmultiechofmricombinationandrapidt2mappingonofflineandrealtimeboldsensitivity-2021","role":"author","urls":{"Paper":"https://www.ncbi.nlm.nih.gov/pubmed/34116148"},"keyword":["Adaptive paradigms Amygdala Emotion processing Finger tapping Functional magnetic resonance imaging Methods development Motor Multi-echo Neurofeedback Real-time Resting state Task Philips Research and Philips Healthcare in The Netherlands. The other authors have declared that no further competing interests exist."],"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://raw.githubusercontent.com/jansenjfa1/bibbase.github.io/master/jansenjfa.bib","dataSources":["TCkfRWJAZvbLAZi29"],"keywords":["adaptive paradigms amygdala emotion processing finger tapping functional magnetic resonance imaging methods development motor multi-echo neurofeedback real-time resting state task philips research and philips healthcare in the netherlands. the other authors have declared that no further competing interests exist."],"search_terms":["effects","multi","echo","fmri","combination","rapid","mapping","offline","real","time","bold","sensitivity","heunis","breeuwer","caballero-gaudes","hellrung","huijbers","jansen","lamerichs","zinger","aldenkamp"],"title":"The effects of multi-echo fMRI combination and rapid T2*-mapping on offline and real-time BOLD sensitivity","year":2021}