Mapping grip force to motor networks
| Autor: | Ferath Kherif, Stefan Frisch, Lester Melie-Garcia, Ladina Weitnauer, Matthias L. Schroeter, Ines Sajfutdinow, Bogdan Draganski, Martine Preisig |
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| Jazyk: | angličtina |
| Předmět: |
Adult
Male Cognitive Neuroscience Biology computer.software_genre 050105 experimental psychology lcsh:RC321-571 White matter 03 medical and health sciences Imaging Three-Dimensional 0302 clinical medicine Grip force Voxel Basal ganglia medicine Humans 0501 psychology and cognitive sciences lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry Brain Mapping Hand Strength medicine.diagnostic_test 05 social sciences Brain Magnetic resonance imaging Voxel-based morphometry Middle Aged Covariance Magnetic Resonance Imaging Stroke medicine.anatomical_structure Neurology Brain lesion Brain size Voxel-based quantification Female Nerve Net Insula Neuroscience computer 030217 neurology & neurosurgery |
| Zdroj: | NeuroImage NeuroImage, Vol 229, Iss, Pp 117735-(2021) |
| ISSN: | 1053-8119 |
| DOI: | 10.1016/j.neuroimage.2021.117735 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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