Literature DB >> 21964200

Alpha coherence predicts accuracy during a visuomotor tracking task.

Albrecht J Rilk1, Surjo R Soekadar, Paul Sauseng, Christian Plewnia.   

Abstract

It has been shown that synchrony of neuronal oscillations plays a critical role in effective communication between functionally distinct brain areas involving motor-sensory integration. However, the patterns of cortico-cortical coupling and their relation to behavioural success are widely unknown. Here, we analysed changes in cortico-cortical coherence during an unimanual visuomotor task and their correlation with performance. A 28-channel-EEG was attained in 27 healthy subjects during the tracking of an irregularly fluctuating target on a screen by manipulating a force sensor with the right index finger and thumb. For oscillatory power in the alpha (8-12 Hz) and the lower beta-band (beta1, 13-20 Hz), we found a decrease in central and occipital areas during performance. Interregional coherence between contralateral frontal and central areas was enhanced in the alpha band. In beta1, we observed a marked increase of coherence in centroparietal regions of both hemispheres extending to occipital and frontal regions in beta2 (21-30 Hz). Most prominently, correlation analysis between alpha coherence and performance accuracy indicated that higher occipitocentral (i.e. visuomotor) coherence is associated with better visuomotor performance whereas high tracking error is associated with enhanced frontocentral coupling, suggesting additional activation of a frontoparietal control network. These results provide further evidence that coherent brain oscillations in alpha and beta bands significantly contribute to effective functional integration of visual and motor areas. Copyright Â
© 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21964200     DOI: 10.1016/j.neuropsychologia.2011.09.026

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  10 in total

1.  Neurophysiological features of tactile versus visual guidance of ongoing movement.

Authors:  Patrick J Lee; Sahana N Kukke
Journal:  Exp Brain Res       Date:  2017-06-01       Impact factor: 1.972

2.  Characterization of Cortical Networks and Corticocortical Functional Connectivity Mediating Arbitrary Visuomotor Mapping.

Authors:  Andrea Brovelli; Daniel Chicharro; Jean-Michel Badier; Huifang Wang; Viktor Jirsa
Journal:  J Neurosci       Date:  2015-09-16       Impact factor: 6.167

3.  Brain Networks Responsible for Sense of Agency: An EEG Study.

Authors:  Suk Yun Kang; Chang-Hwan Im; Miseon Shim; Fatta B Nahab; Jihye Park; Do-Won Kim; John Kakareka; Nathanial Miletta; Mark Hallett
Journal:  PLoS One       Date:  2015-08-13       Impact factor: 3.240

4.  A Link between the Increase in Electroencephalographic Coherence and Performance Improvement in Operating a Brain-Computer Interface.

Authors:  Irma Nayeli Angulo-Sherman; David Gutiérrez
Journal:  Comput Intell Neurosci       Date:  2015-07-28

5.  Increased Alpha Band Functional Connectivity Following the Quadrato Motor Training: A Longitudinal Study.

Authors:  Stefano Lasaponara; Federica Mauro; Filippo Carducci; Patrizio Paoletti; Mario Tombini; Carlo C Quattrocchi; Carlo A Mallio; Yuri Errante; Laura Scarciolla; Tal D Ben-Soussan
Journal:  Front Hum Neurosci       Date:  2017-06-12       Impact factor: 3.169

6.  EEG dynamical network analysis method reveals the neural signature of visual-motor coordination.

Authors:  Xinzhe Li; Bruno Mota; Toshiyuki Kondo; Slawomir Nasuto; Yoshikatsu Hayashi
Journal:  PLoS One       Date:  2020-05-27       Impact factor: 3.240

7.  Acute Exercise as an Intervention to Trigger Motor Performance and EEG Beta Activity in Older Adults.

Authors:  Lena Hübner; Ben Godde; Claudia Voelcker-Rehage
Journal:  Neural Plast       Date:  2018-12-23       Impact factor: 3.599

8.  Cortical Stimulation Paired With Volitional Unimanual Movement Affects Interhemispheric Communication.

Authors:  Richy Yun; Andrew R Bogaard; Andrew G Richardson; Stavros Zanos; Steve I Perlmutter; Eberhard E Fetz
Journal:  Front Neurosci       Date:  2021-12-24       Impact factor: 5.152

9.  Identification of Brain Electrical Activity Related to Head Yaw Rotations.

Authors:  Enrico Zero; Chiara Bersani; Roberto Sacile
Journal:  Sensors (Basel)       Date:  2021-05-11       Impact factor: 3.576

10.  An Integrated Approach for the Monitoring of Brain and Autonomic Response of Children with Autism Spectrum Disorders during Treatment by Wearable Technologies.

Authors:  Lucia Billeci; Alessandro Tonacci; Gennaro Tartarisco; Antonio Narzisi; Simone Di Palma; Daniele Corda; Giovanni Baldus; Federico Cruciani; Salvatore M Anzalone; Sara Calderoni; Giovanni Pioggia; Filippo Muratori
Journal:  Front Neurosci       Date:  2016-06-21       Impact factor: 4.677

  10 in total

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