Clinical Applications of Resting State Functional Connectivity
TLDR
The advantages of the resting state signal for clinical applications are reviewed including detailed discussion of signal to noise considerations and important barriers to be addressed are identified to facilitate the translation of resting state fcMRI into the clinical realm.Abstract:
During resting conditions the brain remains functionally and metabolically active. One manifestation of this activity that has become an important research tool is spontaneous fluctuations in the blood oxygen level-dependent (BOLD) signal of functional magnetic resonance imaging (fMRI). The identification of correlation patterns in these spontaneous fluctuations has been termed resting state functional connectivity (fcMRI) and has the potential to greatly increase the translation of fMRI into clinical care. In this article we review the advantages of the resting state signal for clinical applications including detailed discussion of signal to noise considerations. We include guidelines for performing resting state research on clinical populations, outline the different areas for clinical application, and identify important barriers to be addressed to facilitate the translation of resting state fcMRI into the clinical realm.read more
Citations
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Journal ArticleDOI
The influence of head motion on intrinsic functional connectivity MRI.
TL;DR: Head motion was associated with decreased functional coupling in the default and frontoparietal control networks--two networks characterized by coupling among distributed regions of association cortex and other network measures increased with motion including estimates of local functional coupling and coupling between left and right motor regions.
Journal ArticleDOI
DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging.
TL;DR: The newly developed toolbox, DPABI, which was evolved from REST and DPARSF is introduced, designed to make data analysis require fewer manual operations, be less time-consuming, have a lower skill requirement, a smaller risk of inadvertent mistakes, and be more comparable across studies.
Journal ArticleDOI
An Improved Framework for Confound Regression and Filtering for Control of Motion Artifact in the Preprocessing of Resting-State Functional Connectivity Data
Theodore D. Satterthwaite,Mark A. Elliott,Raphael T. Gerraty,Kosha Ruparel,James Loughead,Monica E. Calkins,Simon B. Eickhoff,Simon B. Eickhoff,Hakon Hakonarson,Ruben C. Gur,Ruben C. Gur,Raquel E. Gur,Daniel H. Wolf +12 more
TL;DR: It is demonstrated that the effect of motion on rsfc-MRI can be substantially attenuated through improved preprocessing procedures, but not completely removed.
Journal ArticleDOI
Intrinsic and Task-Evoked Network Architectures of the Human Brain
Michael W. Cole,Michael W. Cole,Danielle S. Bassett,Jonathan D. Power,Todd S. Braver,Steven E. Petersen +5 more
TL;DR: The results indicate the brain's functional network architecture during task performance is shaped primarily by an intrinsic network architecture that is also present during rest, and secondarily by evoked task-general and task-specific network changes.
Journal ArticleDOI
Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia
Eswar Damaraju,Elena A. Allen,Elena A. Allen,Aysenil Belger,Judith M. Ford,Judith M. Ford,Sarah McEwen,Daniel H. Mathalon,Daniel H. Mathalon,Bryon A. Mueller,Godfrey D. Pearlson,Steven G. Potkin,Adrian Preda,Jessica A. Turner,Jatin G. Vaidya,T.G.M. van Erp,Vince D. Calhoun,Vince D. Calhoun +17 more
TL;DR: The results support and expand current knowledge regarding dysconnectivity in schizophrenia, and strongly advocate the use of dynamic analyses to better account for and understand functional connectivity differences.
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