Literature DB >> 22634864

Spatiotemporal re-organization of large-scale neural assemblies underlies bimanual coordination.

Arpan Banerjee1, Emmanuelle Tognoli, J A Scott Kelso, Viktor K Jirsa.   

Abstract

Bimanual coordination engages a distributed network of brain areas, the spatiotemporal organization of which has given rise to intense debates. Do bimanual movements require information processing in the same set of brain areas that are engaged by movements of the individual components (left and right hands)? Or is it necessary that other brain areas are recruited to help in the act of coordination? These two possibilities are often considered as mutually exclusive, with studies yielding support for one or the other depending on techniques and hypotheses. However, as yet there is no account of how the two views may work together dynamically. Using the method of Mode-Level Cognitive Subtraction (MLCS) on high density EEG recorded during unimanual and bimanual movements, we expose spatiotemporal reorganization of large-scale cortical networks during stable inphase and antiphase coordination and transitions between them. During execution of stable bimanual coordination patterns, neural dynamics were dominated by temporal modulation of unimanual networks. At instability and transition, there was evidence for recruitment of additional areas. Our study provides a framework to quantify large-scale network mechanisms underlying complex cognitive tasks often studied with macroscopic neurophysiological recordings.
Copyright © 2012 Elsevier Inc. All rights reserved.

Mesh:

Year:  2012        PMID: 22634864     DOI: 10.1016/j.neuroimage.2012.05.046

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


  13 in total

1.  Temporal microstructure of cortical networks (TMCN) underlying task-related differences.

Authors:  Arpan Banerjee; Ajay S Pillai; Justin R Sperling; Jason F Smith; Barry Horwitz
Journal:  Neuroimage       Date:  2012-06-19       Impact factor: 6.556

2.  Perceptuo-motor compatibility governs multisensory integration in bimanual coordination dynamics.

Authors:  Gregory Zelic; Denis Mottet; Julien Lagarde
Journal:  Exp Brain Res       Date:  2015-11-02       Impact factor: 1.972

Review 3.  The metastable brain.

Authors:  Emmanuelle Tognoli; J A Scott Kelso
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4.  Can quantum probability help analyze the behavior of functional brain networks?

Authors:  Arpan Banerjee; Barry Horwitz
Journal:  Behav Brain Sci       Date:  2013-06       Impact factor: 12.579

5.  Detection of correlated sources in EEG using combination of beamforming and surface Laplacian methods.

Authors:  Vyacheslav Murzin; Armin Fuchs; J A Scott Kelso
Journal:  J Neurosci Methods       Date:  2013-06-11       Impact factor: 2.390

6.  Age-dependent Relationship Between Socio-adaptability and Motor Coordination in High Functioning Children with Autism Spectrum Disorder.

Authors:  Viviane Kostrubiec; Raoul Huys; Brunhilde Jas; Jeanne Kruck
Journal:  J Autism Dev Disord       Date:  2018-01

7.  Spectral dissociation of lateralized brain rhythms.

Authors:  Emmanuelle Tognoli; J A Scott Kelso
Journal:  Neurosci Res       Date:  2019-12-26       Impact factor: 3.304

8.  Outline of a general theory of behavior and brain coordination.

Authors:  J A Scott Kelso; Guillaume Dumas; Emmanuelle Tognoli
Journal:  Neural Netw       Date:  2012-10-02

9.  Beyond the blank slate: routes to learning new coordination patterns depend on the intrinsic dynamics of the learner-experimental evidence and theoretical model.

Authors:  Viviane Kostrubiec; Pier-Giorgio Zanone; Armin Fuchs; J A Scott Kelso
Journal:  Front Hum Neurosci       Date:  2012-08-03       Impact factor: 3.169

10.  The coordination dynamics of social neuromarkers.

Authors:  Emmanuelle Tognoli; J A Scott Kelso
Journal:  Front Hum Neurosci       Date:  2015-10-20       Impact factor: 3.169

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