Literature DB >> 25315784

Aging reduces experience-induced sensorimotor plasticity. A magnetoencephalographic study.

Alison Mary1, Mathieu Bourguignon2, Vincent Wens3, Marc Op de Beeck3, Rachel Leproult4, Xavier De Tiège3, Philippe Peigneux5.   

Abstract

Modulation of the mu-alpha and mu-beta spontaneous rhythms reflects plastic neural changes within the primary sensorimotor cortex (SM1). Using magnetoencephalography (MEG), we investigated how aging modifies experience-induced plasticity after learning a motor sequence, looking at post- vs. pre-learning changes in the modulation of mu rhythms during the execution of simple hand movements. Fifteen young (18-30 years) and fourteen older (65-75 years) right-handed healthy participants performed auditory-cued key presses using all four left fingers simultaneously (Simple Movement task - SMT) during two separate sessions. Following both SMT sessions, they repeatedly practiced a 5-elements sequential finger-tapping task (FTT). Mu power calculated during SMT was averaged across 18 gradiometers covering the right sensorimotor region and compared before vs. after sequence learning in the alpha (9/10/11Hz) and the beta (18/20/22Hz) bands separately. Source power maps in the mu-alpha and mu-beta bands were localized using Dynamic Statistical Parametric Mapping (dSPM). The FTT sequence was performed faster at retest than at the end of the learning session, indicating an offline boost in performance. Analyses conducted on SMT sessions revealed enhanced rebound after learning in the right SM1, 3000-3500ms after the initiation of movement, in young as compared to older participants. Source reconstruction indicated that mu-beta is located in the precentral gyrus (motor processes) and mu-alpha is located in the postcentral gyrus (somatosensory processes) in both groups. The enhanced post-movement rebound in young subjects potentially reflects post-training plastic changes in SM1. Age-related decreases in post-training modulatory effects suggest reduced experience-dependent plasticity in the aging brain.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Magnetoencephalography; Motor learning; Mu rhythm; Power change; Rebound

Mesh:

Year:  2014        PMID: 25315784     DOI: 10.1016/j.neuroimage.2014.10.010

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


  14 in total

1.  Age-related differences in practice-dependent resting-state functional connectivity related to motor sequence learning.

Authors:  Alison Mary; Vincent Wens; Marc Op de Beeck; Rachel Leproult; Xavier De Tiège; Philippe Peigneux
Journal:  Hum Brain Mapp       Date:  2016-10-11       Impact factor: 5.038

2.  How using brain-machine interfaces influences the human sense of agency.

Authors:  Emilie A Caspar; Albert De Beir; Gil Lauwers; Axel Cleeremans; Bram Vanderborght
Journal:  PLoS One       Date:  2021-01-07       Impact factor: 3.240

3.  A Cross-sectional Study of Attention Bias for Facial Expression Stimulation in Patients with Stroke at the Convalescence Stage.

Authors:  Hirokazu Takizawa; Toshiyuki Ishioka; Kohei Koizumi; Jun Tayama; Makoto Suzuki; Naoki Nakaya; Toyohiro Hamaguchi
Journal:  Int J Behav Med       Date:  2020-12-01

4.  A mean field model for movement induced changes in the beta rhythm.

Authors:  Áine Byrne; Matthew J Brookes; Stephen Coombes
Journal:  J Comput Neurosci       Date:  2017-07-26       Impact factor: 1.621

5.  The effects of transcranial alternating current stimulation (tACS) at individual alpha peak frequency (iAPF) on motor cortex excitability in young and elderly adults.

Authors:  Shane Fresnoza; Monica Christova; Theresa Feil; Eugen Gallasch; Christof Körner; Ulrike Zimmer; Anja Ischebeck
Journal:  Exp Brain Res       Date:  2018-06-26       Impact factor: 1.972

6.  Moving magnetoencephalography towards real-world applications with a wearable system.

Authors:  Elena Boto; Niall Holmes; James Leggett; Gillian Roberts; Vishal Shah; Sofie S Meyer; Leonardo Duque Muñoz; Karen J Mullinger; Tim M Tierney; Sven Bestmann; Gareth R Barnes; Richard Bowtell; Matthew J Brookes
Journal:  Nature       Date:  2018-03-21       Impact factor: 49.962

7.  Modulation of post-movement beta rebound by contraction force and rate of force development.

Authors:  Adam Fry; Karen J Mullinger; George C O'Neill; Eleanor L Barratt; Peter G Morris; Markus Bauer; Jonathan P Folland; Matthew J Brookes
Journal:  Hum Brain Mapp       Date:  2016-04-08       Impact factor: 5.038

8.  Dissociation between behavior and motor cortical excitability before and during ballistic wrist flexion and extension in young and old adults.

Authors:  Tibor Hortobágyi; Adinda Mieras; John Rothwell; Miguel Fernandez Del Olmo
Journal:  PLoS One       Date:  2017-10-26       Impact factor: 3.240

Review 9.  Gene-environment Interactions in Late Life: Linking Psychosocial Stress with Brain Aging.

Authors:  Anthony S Zannas
Journal:  Curr Neuropharmacol       Date:  2018-03-05       Impact factor: 7.363

10.  Brain-Machine Neurofeedback: Robotics or Electrical Stimulation?

Authors:  Robert Guggenberger; Monika Heringhaus; Alireza Gharabaghi
Journal:  Front Bioeng Biotechnol       Date:  2020-07-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.