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Group ICA for identifying biomarkers in schizophrenia: ‘Adaptive’ networks via spatially constrained ICA show more sensitivity to group differences than spatio-temporal regression
Brain functional networks identified from fMRI data can provide potential biomarkers for brain disorders. Group independent component analysis (GICA) is popular for extracting brain functional networks from multiple subjects. In GICA, different strategies exist for reconstructing subject-specific ne...
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Главные авторы: | , , , , , , , , , , , , , |
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Формат: | Artigo |
Язык: | Inglês |
Опубликовано: |
Elsevier
2019-01-01
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Серии: | NeuroImage: Clinical |
Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S221315821930097X |
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