Cortical beta oscillations are associated with motor performance following visuomotor learning.

Autor: Espenhahn S; Department of Clinical and Movement Neurosciences, Institute of Neurology, University College London, 33 Queen Square, WC1N 3BG, London, UK; Department of Radiology, Cumming School of Medicine, University of Calgary, 2500, University Drive NW, Calgary, AB T2N 4N1, Canada. Electronic address: Svenja.Espenhahn@ucalgary.ca., van Wijk BCM; Integrative Model-based Cognitive Neuroscience Research Unit, Department of Psychology, University of Amsterdam, Postbus 15926, 1001, NK, Amsterdam, the Netherlands; Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, WC1N 3BG, London, UK., Rossiter HE; Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Maindy Road, CF24 4HQ, Cardiff, UK., de Berker AO; Department of Clinical and Movement Neurosciences, Institute of Neurology, University College London, 33 Queen Square, WC1N 3BG, London, UK; Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, WC1N 3BG, London, UK., Redman ND; Department of Clinical and Movement Neurosciences, Institute of Neurology, University College London, 33 Queen Square, WC1N 3BG, London, UK., Rondina J; Department of Clinical and Movement Neurosciences, Institute of Neurology, University College London, 33 Queen Square, WC1N 3BG, London, UK., Diedrichsen J; Brain and Mind Institute, University of Western Ontario, London, ON N6A 3K7, Canada., Ward NS; Department of Clinical and Movement Neurosciences, Institute of Neurology, University College London, 33 Queen Square, WC1N 3BG, London, UK.
Jazyk: angličtina
Zdroj: NeuroImage [Neuroimage] 2019 Jul 15; Vol. 195, pp. 340-353. Date of Electronic Publication: 2019 Apr 04.
DOI: 10.1016/j.neuroimage.2019.03.079
Abstrakt: People vary in their capacity to learn and retain new motor skills. Although the relationship between neuronal oscillations in the beta frequency range (15-30 Hz) and motor behaviour is well established, the electrophysiological mechanisms underlying individual differences in motor learning are incompletely understood. Here, we investigated the degree to which measures of resting and movement-related beta power from sensorimotor cortex account for inter-individual differences in motor learning behaviour in the young and elderly. Twenty young (18-30 years) and twenty elderly (62-77 years) healthy adults were trained on a novel wrist flexion/extension tracking task and subsequently retested at two different time points (45-60 min and 24 h after initial training). Scalp EEG was recorded during a separate simple motor task before each training and retest session. Although short-term motor learning was comparable between young and elderly individuals, there was considerable variability within groups with subsequent analysis aiming to find the predictors of this variability. As expected, performance during the training phase was the best predictor of performance at later time points. However, regression analysis revealed that movement-related beta activity significantly explained additional variance in individual performance levels 45-60 min, but not 24 h after initial training. In the context of disease, these findings suggest that measurements of beta-band activity may offer novel targets for therapeutic interventions designed to promote rehabilitative outcomes.
(Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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