Dynamic functional connectivity: Promise, issues, and interpretations

• Type of Material: Article
• Authors: R. Matthew Hutchison, Western University; Thilo Womelsdorf, York University; Elena A. Allen, University of Bergen; Peter A. Bandettini, NIMH, Bethesda; Vince D. Calhoun, Mind Research Network; Maurizio Corbetta, G. D’Annunzio University; Stefania Della Penna, G. D’Annunzio University; Jeff H. Duyn, National Institutes of Health, Bethesda; Gary H. Glover, Stanford University; Javier Gonzalez-Castillo, NIMH, Bethesda; Daniel A. Handwerker, NIMH, Bethesda; Shella Keilholz, Emory University; Vesa Kiviniemi, Oulu University Hospital; David A. Leopold, NIMH, Bethesda; Francesco de Pasquale, G. D’Annunzio University; Olaf Sporns, Indiana University; Martin Walter, Otto-von-Guericke University; Catie Chang, National Institutes of Health, Bethesda
• Language: English
• Date: 2013-10-15
• Publisher: Elsevier: Creative Commons Licenses
• Publication Version: Author Accepted Manuscript (After Peer Review)
• Copyright Statement: © 2013 Elsevier Inc.
• License: Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International
• Final Published Version (URL): http://dx.doi.org/10.1016/j.neuroimage.2013.05.079
• Title of Journal or Parent Work: NeuroImage
• ISSN: 1053-8119
• Volume: 80
• Start Page: 360
• End Page: 378
• Grant/Funding Information: R.M.H. was supported by a Canadian Institute of Health Research postdoctoral fellowship, and C.C. was supported by the Intramural Research Program of the National Institute of Neurological Disorders and Stroke, National Institutes of Health.
• Keywords: HEART-RATE-VARIABILITY; SPATIOTEMPORAL DYNAMICS; Spontaneous activity; TEMPORAL DYNAMICS; SPONTANEOUS BRAIN ACTIVITY; Dynamics; Neurosciences; FREQUENCY BOLD FLUCTUATIONS; Life Sciences & Biomedicine; Resting state; Radiology, Nuclear Medicine & Medical Imaging; FMRI SIGNAL FLUCTUATIONS; Neuroimaging; Neurosciences & Neurology; Functional MRI (fMRI); Fluctuations; Functional connectivity; RESTING-STATE NETWORKS; DEFAULT-MODE NETWORK; PROPOFOL-INDUCED LOSS; MONKEY VISUAL-CORTEX; Science & Technology
• Research Categories: Biology, Neuroscience; Engineering, Biomedical

Abstract

The brain must dynamically integrate, coordinate, and respond to internal and external stimuli across multiple time scales. Non-invasive measurements of brain activity with fMRI have greatly advanced our understanding of the large-scale functional organization supporting these fundamental features of brain function. Conclusions from previous resting-state fMRI investigations were based upon static descriptions of functional connectivity (FC), and only recently studies have begun to capitalize on the wealth of information contained within the temporal features of spontaneous BOLD FC. Emerging evidence suggests that dynamic FC metrics may index changes in macroscopic neural activity patterns underlying critical aspects of cognition and behavior, though limitations with regard to analysis and interpretation remain. Here, we review recent findings, methodological considerations, neural and behavioral correlates, and future directions in the emerging field of dynamic FC investigations.