Mapping grip force to motor networks.

Détails

Ressource 1Télécharger: Grip_1-s2.0-S1053811921000124-main.pdf (1291.49 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY-NC-ND 4.0
ID Serval
serval:BIB_9A913C074FDF
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Mapping grip force to motor networks.
Périodique
NeuroImage
Auteur(s)
Weitnauer L., Frisch S., Melie-Garcia L., Preisig M., Schroeter M.L., Sajfutdinow I., Kherif F., Draganski B.
ISSN
1095-9572 (Electronic)
ISSN-L
1053-8119
Statut éditorial
Publié
Date de publication
01/04/2021
Peer-reviewed
Oui
Volume
229
Pages
117735
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
There is ongoing debate about the role of cortical and subcortical brain areas in force modulation. In a whole-brain approach, we sought to investigate the anatomical basis of grip force whilst acknowledging interindividual differences in connectivity patterns. We tested if brain lesion mapping in patients with unilateral motor deficits can inform whole-brain structural connectivity analysis in healthy controls to uncover the networks underlying grip force.
Using magnetic resonance imaging (MRI) and whole-brain voxel-based morphometry in chronic stroke patients (n=55) and healthy controls (n=67), we identified the brain regions in both grey and white matter significantly associated with grip force strength. The resulting statistical parametric maps (SPMs) provided seed areas for whole-brain structural covariance analysis in a large-scale community dwelling cohort (n=977) that included beyond volume estimates, parameter maps sensitive to myelin, iron and tissue water content.
The SPMs showed symmetrical bilateral clusters of correlation between upper limb motor performance, basal ganglia, posterior insula and cortico-spinal tract. The covariance analysis with the seed areas derived from the SPMs demonstrated a widespread anatomical pattern of brain volume and tissue properties, including both cortical, subcortical nodes of motor networks and sensorimotor areas projections.
We interpret our covariance findings as a biological signature of brain networks implicated in grip force. The data-driven definition of seed areas obtained from chronic stroke patients showed overlapping structural covariance patterns within cortico-subcortical motor networks across different tissue property estimates. This cumulative evidence lends face validity of our findings and their biological plausibility.
Mots-clé
Brain lesion, Grip force, Magnetic resonance imaging, Multi-parameter mapping, Relaxometry, Stroke, Structural covariance, Voxel-based morphometry, Voxel-based quantification
Pubmed
Web of science
Open Access
Oui
Création de la notice
26/01/2021 15:06
Dernière modification de la notice
24/04/2021 6:33
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