Temporally resolved neural dynamics underlying handwriting.


Journal

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

Informations de publication

Date de publication:
01 12 2021
Historique:
received: 25 05 2021
revised: 31 08 2021
accepted: 14 09 2021
pubmed: 18 9 2021
medline: 22 1 2022
entrez: 17 9 2021
Statut: ppublish

Résumé

How do the temporal dynamics of neural activity encode highly coordinated visual-motor behaviour? To capture the millisecond-resolved neural activations associated with fine visual-motor skills, we devised a co-registration system to simultaneously record electroencephalogram and handwriting kinematics while participants were performing four handwriting tasks (writing in Chinese/English scripts with their dominant/non-dominant hand). The neural activation associated with each stroke was clearly identified with a well-structured and reliable pattern. The functional significance of this pattern was validated by its significant associations with language, hand and the cognitive stages and kinematics of handwriting. Furthermore, the handwriting rhythmicity was found to be synchronised to the brain's ongoing theta oscillation, and the synchronisation was associated with the factor of language and hand. These major findings imply an implication between motor skill formation and the interplay between the rhythms in the brain and the peripheral systems.

Identifiants

pubmed: 34534659
pii: S1053-8119(21)00851-X
doi: 10.1016/j.neuroimage.2021.118578
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

118578

Informations de copyright

Copyright © 2021. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no competing interests.

Auteurs

Leisi Pei (L)

Faculty of Education, The University of Hong Kong, Hong Kong, China.

Marieke Longcamp (M)

CNRS, Aix Marseille University LNC, Marseille, France.

Frederick Koon-Shing Leung (FK)

Faculty of Education, The University of Hong Kong, Hong Kong, China.

Guang Ouyang (G)

Faculty of Education, The University of Hong Kong, Hong Kong, China. Electronic address: ouyangg@hku.hk.

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Classifications MeSH