Model order effects on ICA of resting-state complex-valued fMRI data : application to schizophrenia

Abstract
Background Component splitting at higher model orders is a widely accepted finding for independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data. However, our recent study found that intact components occurred with subcomponents at higher model orders. New method This study investigated model order effects on ICA of resting-state complex-valued fMRI data from 82 subjects, which included 40 healthy controls (HCs) and 42 schizophrenia patients. In addition, we explored underlying causes for distinct component splitting between complex-valued data and magnitude-only data by examining model order effects on ICA of phase fMRI data. A best run selection method was proposed to combine subject averaging and a one-sample t-test. We selected the default mode network (DMN)-, visual-, and sensorimotor-related components from the best run of ICA at varying model orders from 10 to 140. Results Results show that component integration occurred in complex-valued and phase analyses, whereas component splitting emerged in magnitude-only analysis with increasing model order. Incorporation of phase data appears to play a complementary role in preserving integrity of brain networks. Comparison with existing method(s) When compared with magnitude-only analysis, the intact DMN component obtained in complex-valued analysis at higher model orders exhibited highly significant subject-level differences between HCs and patients with schizophrenia. We detected significantly higher activity and variation in anterior areas for HCs and in posterior areas for patients with schizophrenia. Conclusions These results demonstrate the potential of complex-valued fMRI data to contribute generally and specifically to brain network analysis in identification of schizophrenia-related changes.
Main Authors
Format
Articles Research article
Published
2018
Series
Subjects
Publication in research information system
Publisher
Elsevier BV
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201804242345Käytä tätä linkitykseen.
Review status
Peer reviewed
ISSN
0165-0270
DOI
https://doi.org/10.1016/j.jneumeth.2018.02.013
Language
English
Published in
Journal of Neuroscience Methods
Citation
  • Kuang, L.-D., Lin, Q.-H., Gong, X.-F., Cong, F., Sui, J., & Calhoun, V. D. (2018). Model order effects on ICA of resting-state complex-valued fMRI data : application to schizophrenia. Journal of Neuroscience Methods, 304, 24-38. https://doi.org/10.1016/j.jneumeth.2018.02.013
License
Open Access
Copyright© 2018 Elsevier B.V. This is a final draft version of an article whose final and definitive form has been published by Elsevier B.V. Published in this repository with the kind permission of the publisher.

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