CCPD under sparsity and low-rank constraints: multi-frequency dynamic functional network connectivity analysis in schizophrenia

This study aims to jointly extract group-shared connectivity patterns and group-specific temporal and frequency information from multi-frequency dynamic functional network connectivity (dFNC) tensors of healthy controls (HCs) and schizophrenia patients (SZs) using a coupled canonical polyadic decomp...

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Библиографические подробности

Главные авторы:	Li-Dan Kuang, Yi-Wen Liu, Ting Tang, Wenjun Li, Jin Zhang, Weijun Liang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Frontiers Media S.A. 2026-05-01
Серии:	Frontiers in Neuroscience
Предметы:	Coupled canonical Polyadic decomposition (CCPD) dynamic functional network connectivity (dFNC) frequency band low-rank constraint schizophrenia
Online-ссылка:	https://www.frontiersin.org/articles/10.3389/fnins.2026.1775687/full
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