Resting-State Functional Connectivity: Signal Origins and Analytic Methods

Document Type

Article

Publication Date

2-1-2020

Abstract

Resting state functional connectivity (RSFC) has been widely studied in functional magnetic resonance imaging (fMRI) and is observed by a significant temporal correlation of spontaneous low-frequency signal fluctuations (SLFs) both within and across hemispheres during rest. Different hypotheses of RSFC include the biophysical origin hypothesis and cognitive origin hypothesis, which show that the role of SLFs and RSFC is still not completely understood. Furthermore, RSFC and age studies have shown an “age-related compensation” phenomenon. RSFC data analysis methods include time domain analysis, seed-based correlation, regional homogeneity, and principal and independent component analyses. Despite advances in RSFC, the authors also discuss challenges and limitations, ranging from head motion to methodological limitations.

Identifier

85075215246 (Scopus)

Publication Title

Neuroimaging Clinics of North America

External Full Text Location

https://doi.org/10.1016/j.nic.2019.09.012

e-ISSN

15579867

ISSN

10525149

PubMed ID

31759568

First Page

15

Last Page

23

Issue

1

Volume

30

Grant

R01AT009829

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