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The Effect of Preprocessing Pipelines in Subject Classification and Detection of Abnormal Resting State Functional Network Connectivity using Group ICA

Resting state functional network connectivity (rsFNC) derived from functional magnetic resonance (fMRI) imaging is emerging as a possible biomarker to identify several brain disorders. Recently it has been pointed out that methods used to preprocess head motion variance might not fully remove all un...

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Bibliographische Detailangaben
Veröffentlicht in:Neuroimage
Hauptverfasser: Vergara, Victor M., Mayer, Andrew, Damaraju, Eswar, Hutchison, Kent, Calhoun, Vince
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2016
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5035165/
https://ncbi.nlm.nih.gov/pubmed/27033684
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2016.03.038
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