Subjective vividness of motor imagery has a neural signature in human premotor and parietal cortex.


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
15 08 2019
Historique:
received: 09 11 2018
revised: 17 04 2019
accepted: 27 04 2019
pubmed: 6 5 2019
medline: 11 2 2020
entrez: 4 5 2019
Statut: ppublish

Résumé

Motor imagery (MI) is the process in which subjects imagine executing a body movement with a strong kinesthetic component from a first-person perspective. The individual capacity to elicit such mental images is not universal but varies within and between subjects. Neuroimaging studies have shown that these inter-as well as intra-individual differences in imagery quality mediate the amplitude of neural activity during MI on a group level. However, these analyses were not sensitive to forms of representation that may not map onto a simple modulation of overall amplitude. Therefore, the present study asked how far the subjective impression of motor imagery vividness is reflected by a spatial neural code, and how patterns of neural activation in different motor regions relate to specific imagery impressions. During fMRI scanning, 20 volunteers imagined three different types of right-hand actions. After each imagery trial, subjects were asked to evaluate the perceived vividness of their imagery. A correlation analysis compared the rating differences and neural dissimilarity values of the rating groups separately for each region of interest. Results showed a significant positive correlation in the left vPMC and right IPL, indicating that these regions particularly reflect perceived imagery vividness in that similar rated trials evoke more similar neural patterns. A decoding analysis revealed that the vividness of the motor image related systematically to the action specificity of neural activation patterns in left vPMC and right SPL. Imagined actions accompanied by higher vividness ratings were significantly more distinguishable within these areas. Altogether, results showed that spatial patterns of neural activity within the human motor cortices reflect the individual vividness of imagined actions. Hence, the findings reveal a link between the subjective impression of motor imagery vividness and objective physiological markers.

Identifiants

pubmed: 31051294
pii: S1053-8119(19)30365-9
doi: 10.1016/j.neuroimage.2019.04.073
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

273-283

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Adam Zabicki (A)

Neuromotor Behavior Laboratory, Institute of Sport Sciences, Justus Liebig University Giessen, Germany. Electronic address: adam.zabicki@sport.uni-giessen.de.

Benjamin de Haas (B)

Experimental Psychology, Justus Liebig University Giessen, Germany.

Karen Zentgraf (K)

Institute of Sport and Exercise Sciences, Goethe University Frankfurt, Germany; Bender Institute of Neuroimaging, Justus Liebig University Giessen, Germany.

Rudolf Stark (R)

Bender Institute of Neuroimaging, Justus Liebig University Giessen, Germany.

Jörn Munzert (J)

Neuromotor Behavior Laboratory, Institute of Sport Sciences, Justus Liebig University Giessen, Germany.

Britta Krüger (B)

Neuromotor Behavior Laboratory, Institute of Sport Sciences, Justus Liebig University Giessen, Germany; Bender Institute of Neuroimaging, Justus Liebig University Giessen, Germany.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH