Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/38942
Title: Aging and Complexity Effects on Hemisphere-Dependent Movement-Related Beta Desynchronization during Bimanual Motor Planning and Execution
Authors: VAN HOORNWEDER, Sybren 
Blanco-Mora, Diego Andres
DEPESTELE, Siel 
VAN DUN, Kim 
CUYPERS, Koen 
VERSTRAELEN, Stefanie 
MEESEN, Raf 
Issue Date: 2022
Publisher: MDPI
Source: Brain Sciences, 12 (11) , p. 1444 (Art N° 1444)
Abstract: With aging comes degradation of bimanual movement performance. A hallmark feature of bimanual movements is movement-related beta desynchronization (MRBD), an attenuation in the amplitude of beta oscillations associated with sensorimotor activation. Here, we investigated MRBD in 39 healthy adults (20 younger and 19 older adults) in frontal, central, and parietal regions across both hemispheres, during the planning and execution of a bimanual tracking task. Task accuracy decreased with age and during more difficult conditions when both hands had to move at different relative speeds. MRBD was mostly situated in the central region, and increased in older versus younger adults during movement execution but not planning. Irrespective of age, motor planning and execution were associated with increased MRBD in the left and right hemispheres, respectively. Notably, right central MRBD during motor planning was associated with bimanual task performance, particularly in older adults. Specifically, persons who demonstrated high MRBD during motor planning performed better on the bimanual tracking task. Our results highlight the importance of lateralized MRBD during motor planning, thereby shining new light on previous research and providing a promising avenue for future interventions.
Notes: Meesen, R (corresponding author), Univ Hasselt, REVAL Rehabil Res Ctr, Fac Rehabil Sci, B-3590 Diepenbeek, Belgium.
raf.meesen@uhasselt.be
Keywords: electroencephalography;aging;bimanual coordination;interlimb coordination;motor planning;motor execution;beta oscillations;time-frequency analysis
Document URI: http://hdl.handle.net/1942/38942
e-ISSN: 2076-3425
DOI: 10.3390/brainsci12111444
ISI #: 000880995800001
Rights: 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Category: A1
Type: Journal Contribution
Validations: ecoom 2023
Appears in Collections:Research publications

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