Pour savoir comment effectuer et gérer un dépôt de document, consultez le « Guide abrégé – Dépôt de documents » sur le site Web de la Bibliothèque. Pour toute question, écrivez à corpus@ulaval.ca.
 

Personne :
Grégoire, Mathieu

En cours de chargement...
Photo de profil

Adresse électronique

Date de naissance

Projets de recherche

Structures organisationnelles

Fonction

Nom de famille

Grégoire

Prénom

Mathieu

Affiliation

Université Laval. École de psychologie

ISNI

ORCID

Identifiant Canadiana

ncf13704762

person.page.name

Résultats de recherche

Voici les éléments 1 - 1 sur 1
  • PublicationRestreint
    The neural network of motor imagery : an ALE meta-analysis
    (Elsevier, 2013-06-01) Eugène, Fanny; Hétu, Sébastien; Jackson, Philip L.; Saimpont, Arnaud; Coll, Michel-Pierre; Grégoire, Mathieu; Michon, Pierre-Emmanuel
    Motor imagery (MI) or the mental simulation of action is now increasingly being studied using neuroimaging techniques such as positron emission tomography and functional magnetic resonance imaging. The booming interest in capturing the neural underpinning of MI has provided a large amount of data which until now have never been quantitatively summarized. The aim of this activation likelihood estimation (ALE) meta-analysis was to provide a map of the brain structures involved in MI. Combining the data from 75 papers revealed that MI consistently recruits a large fronto-parietal network in addition to subcortical and cerebellar regions. Although the primary motor cortex was not shown to be consistently activated, the MI network includes several regions which are known to play a role during actual motor execution. The body part involved in the movements, the modality of MI and the nature of the MI tasks used all seem to influence the consistency of activation within the general MI network. In addition to providing the first quantitative cortical map of MI, we highlight methodological issues that should be addressed in future research.