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...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-04-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811921000124 |
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| author | Ladina Weitnauer Stefan Frisch Lester Melie-Garcia Martin Preisig Matthias L. Schroeter Ines Sajfutdinow Ferath Kherif Bogdan Draganski |
| author_facet | Ladina Weitnauer Stefan Frisch Lester Melie-Garcia Martin Preisig Matthias L. Schroeter Ines Sajfutdinow Ferath Kherif Bogdan Draganski |
| author_sort | Ladina Weitnauer |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T13:08:39Z |
| format | Article |
| id | doaj.art-90938945580849159694df5fbc383821 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-12-22T13:08:39Z |
| publishDate | 2021-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-90938945580849159694df5fbc3838212022-12-21T18:24:48ZengElsevierNeuroImage1095-95722021-04-01229117735Mapping grip force to motor networksLadina Weitnauer0Stefan Frisch1Lester Melie-Garcia2Martin Preisig3Matthias L. Schroeter4Ines Sajfutdinow5Ferath Kherif6Bogdan Draganski7LREN, Department of clinical neurosciences - CHUV, University Lausanne, SwitzerlandMax-Planck Institute for Human Brain and Cognitive Sciences, Leipzig, German; Department of Gerontopsychiatry, Psychosomatic Medicine, and Psychotherapy, Pfalzklinikum, Klingenmünster, Germany; Institute of Psychology, Goethe-University, Frankfurt am Main, GermanyLREN, Department of clinical neurosciences - CHUV, University Lausanne, SwitzerlandDepartment of psychiatry - CHUV, University Lausanne, SwitzerlandMax-Planck Institute for Human Brain and Cognitive Sciences, Leipzig, GermanDay Clinic for Cognitive Neurology, Universitätsklinikum Leipzig, Leipzig, GermanyLREN, Department of clinical neurosciences - CHUV, University Lausanne, SwitzerlandLREN, Department of clinical neurosciences - CHUV, University Lausanne, Switzerland; Max-Planck Institute for Human Brain and Cognitive Sciences, Leipzig, German; Corresponding author at: LREN - Département des Neurosciences Cliniques, CHUV, Université de Lausanne, Mont Paisible 16, 1011 Lausanne, Switzerland.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.http://www.sciencedirect.com/science/article/pii/S1053811921000124StrokeBrain lesionMagnetic resonance imagingVoxel-based morphometryVoxel-based quantificationGrip force |
| spellingShingle | Ladina Weitnauer Stefan Frisch Lester Melie-Garcia Martin Preisig Matthias L. Schroeter Ines Sajfutdinow Ferath Kherif Bogdan Draganski Mapping grip force to motor networks NeuroImage Stroke Brain lesion Magnetic resonance imaging Voxel-based morphometry Voxel-based quantification Grip force |
| title | Mapping grip force to motor networks |
| title_full | Mapping grip force to motor networks |
| title_fullStr | Mapping grip force to motor networks |
| title_full_unstemmed | Mapping grip force to motor networks |
| title_short | Mapping grip force to motor networks |
| title_sort | mapping grip force to motor networks |
| topic | Stroke Brain lesion Magnetic resonance imaging Voxel-based morphometry Voxel-based quantification Grip force |
| url | http://www.sciencedirect.com/science/article/pii/S1053811921000124 |
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