Current methods and new directions in resting state fMRI

• Published in: Clinical imaging Vol. 65; pp. 47 - 53
• Main Authors: Yang, Jackie, Gohel, Suril, Vachha, Behroze
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.09.2020; Elsevier Limited
• Subjects: Alzheimer's disease; Big data; Brain cancer; Brain mapping; Brain research; Cognition; Dynamic-connectivity; Functional magnetic resonance imaging; Functional-connectivity; IVA; Magnetic resonance imaging; Neural networks; Neuroimaging; Noise; Power; Resting-state-fMRI; Schizophrenia; Time series; Vector analysis; Dynamic-connectivity; Resting-state-fMRI; Big data; IVA; Functional-connectivity

Resting state functional connectivity magnetic resonance imaging (rsfcMRI) has become a key component of investigations of neurocognitive and psychiatric behaviors. Over the past two decades, several methods and paradigms have been adopted to utilize and interpret data from resting-state fluctuation...