Literature DB >> 22807481

Competitive and cooperative dynamics of large-scale brain functional networks supporting recollection.

Alex Fornito1, Ben J Harrison, Andrew Zalesky, Jon S Simons.   

Abstract

Analyses of functional interactions between large-scale brain networks have identified two broad systems that operate in apparent competition or antagonism with each other. One system, termed the default mode network (DMN), is thought to support internally oriented processing. The other system acts as a generic external attention system (EAS) and mediates attention to exogenous stimuli. Reports that the DMN and EAS show anticorrelated activity across a range of experimental paradigms suggest that competition between these systems supports adaptive behavior. Here, we used functional MRI to characterize functional interactions between the DMN and different EAS components during performance of a recollection task known to coactivate regions of both networks. Using methods to isolate task-related, context-dependent changes in functional connectivity between these systems, we show that increased cooperation between the DMN and a specific right-lateralized frontoparietal component of the EAS is associated with more rapid memory recollection. We also show that these cooperative dynamics are facilitated by a dynamic reconfiguration of the functional architecture of the DMN into core and transitional modules, with the latter serving to enhance integration with frontoparietal regions. In particular, the right posterior cingulate cortex may act as a critical information-processing hub that provokes these context-dependent reconfigurations from an intrinsic or default state of antagonism. Our findings highlight the dynamic, context-dependent nature of large-scale brain dynamics and shed light on their contribution to individual differences in behavior.

Mesh:

Year:  2012        PMID: 22807481      PMCID: PMC3412011          DOI: 10.1073/pnas.1204185109

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  53 in total

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4.  A method for using blocked and event-related fMRI data to study "resting state" functional connectivity.

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5.  Data-driven clustering reveals a fundamental subdivision of the human cortex into two global systems.

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Review 8.  Searching for a baseline: functional imaging and the resting human brain.

Authors:  D A Gusnard; M E Raichle; M E Raichle
Journal:  Nat Rev Neurosci       Date:  2001-10       Impact factor: 34.870

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Authors:  Daniela Popa; Andrei T Popescu; Denis Paré
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Authors:  Hongkeun Kim; Sander M Daselaar; Roberto Cabeza
Journal:  Neuroimage       Date:  2009-07-30       Impact factor: 6.556

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  189 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-31       Impact factor: 11.205

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Journal:  Brain Connect       Date:  2014-01-30

4.  Time-resolved resting-state brain networks.

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5.  Dynamic reorganization of human resting-state networks during visuospatial attention.

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Review 6.  Rethinking segregation and integration: contributions of whole-brain modelling.

Authors:  Gustavo Deco; Giulio Tononi; Melanie Boly; Morten L Kringelbach
Journal:  Nat Rev Neurosci       Date:  2015-06-17       Impact factor: 34.870

7.  Task-related modulation of functional connectivity variability and its behavioral correlations.

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Journal:  Hum Brain Mapp       Date:  2015-05-26       Impact factor: 5.038

8.  Regional excitation-inhibition balance predicts default-mode network deactivation via functional connectivity.

Authors:  Hong Gu; Yuzheng Hu; Xi Chen; Yong He; Yihong Yang
Journal:  Neuroimage       Date:  2018-10-22       Impact factor: 6.556

9.  Development of human brain cortical network architecture during infancy.

Authors:  Wei Gao; Sarael Alcauter; J Keith Smith; John H Gilmore; Weili Lin
Journal:  Brain Struct Funct       Date:  2014-01-28       Impact factor: 3.270

10.  Virtual Cortical Resection Reveals Push-Pull Network Control Preceding Seizure Evolution.

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