The influence of individual motor imagery ability on cerebral recruitment during gait imagery.

Details

Serval ID
serval:BIB_F67FEB474562
Type
Article: article from journal or magazin.
Collection
Publications
Title
The influence of individual motor imagery ability on cerebral recruitment during gait imagery.
Journal
Human brain mapping
Author(s)
van der Meulen M., Allali G., Rieger S.W., Assal F., Vuilleumier P.
ISSN
1097-0193 (Electronic)
ISSN-L
1065-9471
Publication state
Published
Issued date
02/2014
Peer-reviewed
Oui
Volume
35
Number
2
Pages
455-470
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
Motor imagery (MI) is often used in combination with neuroimaging techniques to study the cognitive control of gait. However, imagery ability (IA) varies widely across individuals, potentially influencing the pattern of cerebral recruitment during MI. The aim of the current study was to investigate this effect of IA on the neural correlates of gait control using functional magnetic resonance imaging (fMRI). Twenty healthy young subjects were subdivided into a good and bad imagers group, on the basis of their performance on two mental chronometry tests. For the whole group, MI activated a bilateral network of areas highly consistent with previous studies, encompassing primary motor cortex (BA 4), supplementary motor area, and other frontal and parietal areas, anterior insula, and cerebellum. Compared to bad imagers, good imagers showed higher activation in the right BA 4, left prefrontal cortex (BA 10), right thalamus, and bilateral cerebellum. Good imagers thus appear better able to recruit motor areas during MI, but also activate a prefrontal executive area (BA 10), which integrates information from the body and the environment and participates in higher-order gait control. These differences were found even though the two groups did not differ in other imagery abilities according to a standard questionnaire for vividness of motor and visual imagery. Future studies on MI should take into account these effects, and control for IA when comparing different populations, using appropriate measures. A better understanding of the neural mechanisms that underlie MI ability is crucial to accurately evaluate locomotor skills in clinical measures and neurorehabilitation techniques.
Keywords
Adult, Brain Mapping, Cerebral Cortex/blood supply, Cerebral Cortex/physiology, Electromyography, Evoked Potentials, Motor/physiology, Female, Gait/physiology, Humans, Image Processing, Computer-Assisted, Imagery, Psychotherapy, Imagination/physiology, Magnetic Resonance Imaging, Male, Movement/physiology, Oxygen/blood, Photic Stimulation, Psychomotor Performance, Surveys and Questionnaires, Time Factors, fMRI, gait, imagery ability, mental chronometry, motor imagery
Pubmed
Web of science
Create date
11/08/2023 13:49
Last modification date
03/10/2023 5:58
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