Ultrafine brain intrinsic connectivity networks template via very-high-order independent component analysis of large-scale resting-state functional magnetic resonance imaging data

Spatial group independent component analysis (sgr-ICA) is widely used in resting-state fMRI to identify intrinsic connectivity networks (ICNs). While lower-order decompositions reveal large-scale networks, higher-order models provide finer granularity but have been limited by small sample sizes. In...

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Ngā kaituhi matua:	Shiva Mirzaeian, Kyle M. Jensen, Ram Ballem, Pablo Andrés Camazón, Jiayu Chen, Vince D. Calhoun, Armin Iraji
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Frontiers Media S.A. 2025-10-01
Rangatū:	Frontiers in Neuroscience
Ngā marau:	independent component analysis (ICA) resting-state fMRI (rsfMRI) granular intrinsic connectivity networks (ICNs) functional network connectivity (FNC) schizophrenia
Urunga tuihono:	https://www.frontiersin.org/articles/10.3389/fnins.2025.1672129/full
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