Literature DB >> 29730496

Resting-state connectivity predicts visuo-motor skill learning.

Aurélie L Manuel1, Adrian G Guggisberg2, Raphaël Thézé3, Francesco Turri4, Armin Schnider2.   

Abstract

Spontaneous brain activity at rest is highly organized even when the brain is not explicitly engaged in a task. Functional connectivity (FC) in the alpha frequency band (α, 8-12 Hz) during rest is associated with improved performance on various cognitive and motor tasks. In this study we explored how FC is associated with visuo-motor skill learning and offline consolidation. We tested two hypotheses by which resting-state FC might achieve its impact on behavior: preparing the brain for an upcoming task or consolidating training gains. Twenty-four healthy participants were assigned to one of two groups: The experimental group (n = 12) performed a computerized mirror-drawing task. The control group (n = 12) performed a similar task but with concordant cursor direction. High-density 156-channel resting-state EEG was recorded before and after learning. Subjects were tested for offline consolidation 24h later. The Experimental group improved during training and showed offline consolidation. Increased α-FC between the left superior parietal cortex and the rest of the brain before training and decreased α-FC in the same region after training predicted learning. Resting-state FC following training did not predict offline consolidation and none of these effects were present in controls. These findings indicate that resting-state alpha-band FC is primarily implicated in providing optimal neural resources for upcoming tasks.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alpha-band; Coherence; EEG; Functional connectivity; Motor-skill learning; Parietal cortex

Mesh:

Year:  2018        PMID: 29730496     DOI: 10.1016/j.neuroimage.2018.05.003

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


  7 in total

1.  Effect of brain alpha oscillation on the performance in laparoscopic skills simulator training.

Authors:  Guangsheng Li; Hanlei Li; Jiangbo Pu; Feng Wan; Yong Hu
Journal:  Surg Endosc       Date:  2020-02-19       Impact factor: 4.584

Review 2.  Towards understanding neural network signatures of motor skill learning in Parkinson's disease and healthy aging.

Authors:  Evelien Nackaerts; Nicholas D'Cruz; Bauke W Dijkstra; Moran Gilat; Thomas Kramer; Alice Nieuwboer
Journal:  Br J Radiol       Date:  2019-05-14       Impact factor: 3.039

3.  Connectivity in Large-Scale Resting-State Brain Networks Is Related to Motor Learning: A High-Density EEG Study.

Authors:  Simon Titone; Jessica Samogin; Philippe Peigneux; Stephan Swinnen; Dante Mantini; Genevieve Albouy
Journal:  Brain Sci       Date:  2022-04-21

4.  Off-line effects of alpha-frequency transcranial alternating current stimulation on a visuomotor learning task.

Authors:  Taiki Harada; Masayuki Hara; Kojiro Matsushita; Kenji Kawakami; Keisuke Kawakami; Masaya Anan; Hisato Sugata
Journal:  Brain Behav       Date:  2020-07-27       Impact factor: 2.708

5.  Electrical Brain Activity and Its Functional Connectivity in the Physical Execution of Modern Jazz Dance.

Authors:  Johanna Wind; Fabian Horst; Nikolas Rizzi; Alexander John; Wolfgang I Schöllhorn
Journal:  Front Psychol       Date:  2020-12-15

6.  Sex-Specific Brain Responses to Imaginary Dance but Not Physical Dance: An Electroencephalography Study of Functional Connectivity and Electrical Brain Activity.

Authors:  Johanna Wind; Fabian Horst; Nikolas Rizzi; Alexander John; Tamara Kurti; Wolfgang I Schöllhorn
Journal:  Front Behav Neurosci       Date:  2021-12-15       Impact factor: 3.558

7.  Resting-State Functional Connectivity in the Dorsal Attention Network Relates to Behavioral Performance in Spatial Attention Tasks and May Show Task-Related Adaptation.

Authors:  Björn Machner; Lara Braun; Jonathan Imholz; Philipp J Koch; Thomas F Münte; Christoph Helmchen; Andreas Sprenger
Journal:  Front Hum Neurosci       Date:  2022-01-10       Impact factor: 3.169

  7 in total

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