Hubs of Anticorrelation in High-Resolution Resting-State Functional Connectivity Network Architecture

Brain Connectivity
Kaundinya GopinathBruce A Crosson

Abstract

A major focus of brain research recently has been to map the resting-state functional connectivity (rsFC) network architecture of the normal brain and pathology through functional magnetic resonance imaging. However, the phenomenon of anticorrelations in resting-state signals between different brain regions has not been adequately examined. The preponderance of studies on resting-state fMRI (rsFMRI) have either ignored anticorrelations in rsFC networks or adopted methods in data analysis, which have rendered anticorrelations in rsFC networks uninterpretable. The few studies that have examined anticorrelations in rsFC networks using conventional methods have found anticorrelations to be weak in strength and not very reproducible across subjects. Anticorrelations in rsFC network architecture could reflect mechanisms that subserve a number of important brain processes. In this preliminary study, we examined the properties of anticorrelated rsFC networks by systematically focusing on negative cross-correlation coefficients (CCs) among rsFMRI voxel time series across the brain with graph theory-based network analysis. A number of methods were implemented to enhance the neuronal specificity of resting-state functional connections tha...Continue Reading

References

May 1, 1995·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·S D FormanD C Noll
Oct 5, 2001·Nature Reviews. Neuroscience·D A GusnardM E Raichle
Jun 25, 2005·Proceedings of the National Academy of Sciences of the United States of America·Michael D FoxMarcus E Raichle
Feb 4, 2009·Proceedings of the National Academy of Sciences of the United States of America·C J HoneyP Hagmann
Feb 13, 2009·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Randy L BucknerKeith A Johnson
Feb 18, 2009·Cerebral Cortex·Zarrar ShehzadMichael P Milham
Oct 13, 2009·NeuroImage·Mikail Rubinov, Olaf Sporns
Nov 17, 2009·NeuroImage·Michael W ColeWalter Schneider
Jan 30, 2010·Parkinsonism & Related Disorders·Mahlon DeLong, Thomas Wichmann
May 1, 2010·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Steen MoellerKâmil Uğurbil
May 5, 2010·Proceedings of the National Academy of Sciences of the United States of America·Marieke L SchölvinckDavid A Leopold
Jun 27, 2013·Nature Neuroscience·Randy L BucknerB T Thomas Yeo
Aug 27, 2013·Neuron·Jonathan D PowerSteven E Petersen
Jan 15, 2014·NeuroImage·Stefania FavillaCarlo Adolfo Porro
Apr 18, 2014·Journal of Neurology, Neurosurgery, and Psychiatry·Francesco VerganiFlavio Dell'Acqua

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Citations

Jan 13, 2017·Scientific Reports·Ying-Hui ChouNan-Kuei Chen
Mar 24, 2018·BioMed Research International·Filippo Cieri, Roberto Esposito
Mar 30, 2017·Brain Imaging and Behavior·Fabrizio ParenteAlfredo Colosimo
May 15, 2018·Neural Plasticity·Fabrizio Parente, Alfredo Colosimo
Jun 20, 2020·Journal of Neuroscience Research·Manon EddeSandra Chanraud
Feb 28, 2020·Scientific Reports·Fabrizio Parente, Alfredo Colosimo
Sep 27, 2019·Frontiers in Psychology·Filippo Cieri, Roberto Esposito
Sep 5, 2020·Network Neuroscience·Roberto C SoteroMehdy Dousty
Dec 18, 2020·Frontiers in Aging Neuroscience·Sang-Yeon LeeYu Kyeong Kim
Jan 8, 2021·Acta Neuropathologica Communications·Xuan Vinh To, Fatima A Nasrallah
Feb 1, 2021·Developmental Cognitive Neuroscience·Mariah DeSerisyAmy E Margolis
Mar 23, 2021·Therapeutic Advances in Neurological Disorders·Michela LeocadiFederica Agosta
Apr 24, 2021·Social Cognitive and Affective Neuroscience·Maja Rou Marstrand-JoergensenPatrick M Fisher
Aug 1, 2021·Scientific Reports·Fabrizio Parente, Alfredo Colosimo
Jan 3, 2022·Cerebral Cortex·Camille GiacomettiCéline Amiez

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Methods Mentioned

BETA
SMA

Software Mentioned

Brain Connectivity Matlab
FSL
AFNI
Matlab

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