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Mapping grip force to motor networks

  • Aim: 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. Methods: 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. Results: 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. Conclusion: 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.

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Metadaten
Author:Ladina Weitnauer, Stefan FrischORCiDGND, Lester Melie-GarciaORCiD, Martin PreisigORCiD, Matthias SchroeterORCiDGND, Ines Sajfutdinow, Ferath KherifORCiD, Bogdan DraganskiORCiD
URN:urn:nbn:de:hebis:30:3-781564
DOI:https://doi.org/10.1016/j.neuroimage.2021.117735
ISSN:1053-8119
Pubmed Id:https://pubmed.ncbi.nlm.nih.gov/33454401
Parent Title (English):NeuroImage
Publisher:Elsevier
Place of publication:Amsterdam
Document Type:Article
Language:English
Date of Publication (online):2021/01/18
Date of first Publication:2021/01/14
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2024/04/08
Tag:Brain lesion; Grip force; Magnetic resonance imaging; Multi-parameter mapping; Relaxometry; Stroke; Structural covariance; Voxel-based morphometry; Voxel-based quantification
Volume:229
Issue:117735
Article Number:117735
Page Number:7
Institutes:Psychologie und Sportwissenschaften / Psychologie
Dewey Decimal Classification:1 Philosophie und Psychologie / 15 Psychologie / 150 Psychologie
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International