Literature DB >> 28942061

The behavioral and cognitive relevance of time-varying, dynamic changes in functional connectivity.

Jessica R Cohen1.   

Abstract

Recent advances in neuroimaging methods and analysis have led to an expanding body of research that investigates how large-scale brain network organization dynamically adapts to changes in one's environment, including both internal state changes and external stimulation. It is now possible to detect changes in functional connectivity that occur on the order of seconds, both during an unconstrained resting state and during the performance of constrained cognitive tasks. It is thought that these dynamic, time-varying changes in functional connectivity, often referred to as dynamic functional connectivity (dFC), include features that are relevant to behavior and cognition. This review summarizes four aspects of the nascent literature directly testing that assumption: 1) how changes in functional network organization on the order of task blocks relate to differences in task demands and to cognitive ability; 2) how differences in dFC variability between different contexts relate to cognitive demands and behavioral performance; 3) how ongoing fluctuations in dFC impact perception and attention; and 4) how different patterns of dFC correspond to individual differences in cognition. The review ends by discussing promising directions for future research in this field. First, it comments on how dFC analyses can help to elucidate the mechanisms of healthy cognition. Next, it describes how dFC processes may be disrupted in disease, and how probing such dysfunction can increase understanding of neural etiology, as well as behavioral and cognitive impairments, observed in psychiatric and neurologic populations. Last, it considers the potential for computational models to uncover neuronal mechanisms of dFC, and how both healthy cognition and disease emerge from network dynamics.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cognition; Dynamic functional connectivity; Individual differences; Network dynamics; Resting state; Time-varying

Mesh:

Year:  2017        PMID: 28942061      PMCID: PMC6056319          DOI: 10.1016/j.neuroimage.2017.09.036

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  92 in total

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Journal:  Neuroimage       Date:  2010-08-20       Impact factor: 6.556

2.  On spurious and real fluctuations of dynamic functional connectivity during rest.

Authors:  Nora Leonardi; Dimitri Van De Ville
Journal:  Neuroimage       Date:  2014-09-16       Impact factor: 6.556

3.  The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition.

Authors:  Jessica R Cohen; Mark D'Esposito
Journal:  J Neurosci       Date:  2016-11-30       Impact factor: 6.167

4.  Comparing test-retest reliability of dynamic functional connectivity methods.

Authors:  Ann S Choe; Mary Beth Nebel; Anita D Barber; Jessica R Cohen; Yuting Xu; James J Pekar; Brian Caffo; Martin A Lindquist
Journal:  Neuroimage       Date:  2017-07-05       Impact factor: 6.556

5.  The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance.

Authors:  James M Shine; Patrick G Bissett; Peter T Bell; Oluwasanmi Koyejo; Joshua H Balsters; Krzysztof J Gorgolewski; Craig A Moodie; Russell A Poldrack
Journal:  Neuron       Date:  2016-09-29       Impact factor: 17.173

6.  EEG correlates of time-varying BOLD functional connectivity.

Authors:  Catie Chang; Zhongming Liu; Michael C Chen; Xiao Liu; Jeff H Duyn
Journal:  Neuroimage       Date:  2013-01-31       Impact factor: 6.556

7.  Cognitive effort drives workspace configuration of human brain functional networks.

Authors:  Manfred G Kitzbichler; Richard N A Henson; Marie L Smith; Pradeep J Nathan; Edward T Bullmore
Journal:  J Neurosci       Date:  2011-06-01       Impact factor: 6.167

8.  Quantifying the reconfiguration of intrinsic networks during working memory.

Authors:  Jessica R Cohen; Courtney L Gallen; Emily G Jacobs; Taraz G Lee; Mark D'Esposito
Journal:  PLoS One       Date:  2014-09-05       Impact factor: 3.240

9.  Multimodal imaging of dynamic functional connectivity.

Authors:  Enzo Tagliazucchi; Helmut Laufs
Journal:  Front Neurol       Date:  2015-02-16       Impact factor: 4.003

10.  On wakefulness fluctuations as a source of BOLD functional connectivity dynamics.

Authors:  Ariel Haimovici; Enzo Tagliazucchi; Pablo Balenzuela; Helmut Laufs
Journal:  Sci Rep       Date:  2017-07-19       Impact factor: 4.379

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  49 in total

1.  Dynamic brain network configurations during rest and an attention task with frequent occurrence of mind wandering.

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2.  Statistical Significance Assessment of Phase Synchrony in the Presence of Background Couplings: An ECoG Study.

Authors:  Parham Mostame; Ali Moharramipour; Gholam-Ali Hossein-Zadeh; Abbas Babajani-Feremi
Journal:  Brain Topogr       Date:  2019-05-25       Impact factor: 3.020

3.  Dynamic network connectivity predicts subjective cognitive decline: the Sino-Longitudinal Cognitive impairment and dementia study.

Authors:  Guozhao Dong; Liu Yang; Chiang-Shan R Li; Xiaoni Wang; Yihe Zhang; Wenying Du; Ying Han; Xiaoying Tang
Journal:  Brain Imaging Behav       Date:  2020-12       Impact factor: 3.978

4.  Large-scale network integration in the human brain tracks temporal fluctuations in memory encoding performance.

Authors:  Ruedeerat Keerativittayayut; Ryuta Aoki; Mitra Taghizadeh Sarabi; Koji Jimura; Kiyoshi Nakahara
Journal:  Elife       Date:  2018-06-18       Impact factor: 8.140

5.  Static and dynamic connectomics differentiate between depressed patients with and without suicidal ideation.

Authors:  Wei Liao; Jiao Li; Xujun Duan; Qian Cui; Heng Chen; Huafu Chen
Journal:  Hum Brain Mapp       Date:  2018-07-01       Impact factor: 5.038

6.  How Tasks Change Whole-Brain Functional Organization to Reveal Brain-Phenotype Relationships.

Authors:  Abigail S Greene; Siyuan Gao; Stephanie Noble; Dustin Scheinost; R Todd Constable
Journal:  Cell Rep       Date:  2020-08-25       Impact factor: 9.423

7.  Children with attention-deficit/hyperactivity disorder spend more time in hyperconnected network states and less time in segregated network states as revealed by dynamic connectivity analysis.

Authors:  Heather M Shappell; Kelly A Duffy; Keri S Rosch; James J Pekar; Stewart H Mostofsky; Martin A Lindquist; Jessica R Cohen
Journal:  Neuroimage       Date:  2021-01-14       Impact factor: 6.556

8.  fMRI-based detection of alertness predicts behavioral response variability.

Authors:  Sarah E Goodale; Nafis Ahmed; Chong Zhao; Jacco A de Zwart; Pinar S Özbay; Dante Picchioni; Jeff Duyn; Dario J Englot; Victoria L Morgan; Catie Chang
Journal:  Elife       Date:  2021-05-07       Impact factor: 8.140

9.  A systematic evaluation of source reconstruction of resting MEG of the human brain with a new high-resolution atlas: Performance, precision, and parcellation.

Authors:  Luke Tait; Ayşegül Özkan; Maciej J Szul; Jiaxiang Zhang
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Review 10.  Atypical core-periphery brain dynamics in autism.

Authors:  Dipanjan Roy; Lucina Q Uddin
Journal:  Netw Neurosci       Date:  2021-04-27
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