ArticleNeuron2022
Compartmentalized dynamics within a common multi-area mesoscale manifold represent a repertoire of human hand movements.
Article in Neuron, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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29 citing papers in PubMed, 48 citations in OpenAlex.
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- Macroscopic EEG reveals discriminative low-frequency oscillations in plan-to-grasp visuomotor tasks.Journal of neural engineering · 2026Article
- Early skill learning is shaped by the offline emergence of expert synergies.Current biology : CB · 2026Article
- Conserved role of primary motor cortex in the control of prehension in mice and macaques.Cell reports · 2026Article
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- A framework for quantifying the mechanics of dexterous grasp.bioRxiv : the preprint server for biology · 2026Article
- Decoupling simultaneous motor imagination and execution via orthogonal ECoG neural representations.Nature communications · 2026Article
- Expert Motor Synergies Emerge Predominantly Offline During Early Skill Learning.bioRxiv : the preprint server for biology · 2026Article
- Restoration of temporal separability between beta and movement ensemble co-firing with motor recovery.Neuron · 2025Article
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- Object-directed action representations are componentially built in parietal cortex.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
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- Progressively shifting patterns of co-modulation among premotor cortex neurons carry dynamically similar signals during action execution and observation.bioRxiv : the preprint server for biology · 2025Article
- Pseudo-linear summation explains neural geometry of multi-finger movements in human premotor cortex.Nature communications · 2025Article
- Article
- Motor learning leverages coordinated low-frequency cortico-basal ganglia activity to optimize motor preparation in humans with Parkinson's disease.Frontiers in neuroscience · 2025Article
- Cross-Frequency Coupling as a Biomarker for Early Stroke Recovery.Neurorehabilitation and neural repair · 2024Article
- Surfing beta burst waveforms to improve motor imagery-based BCI.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Algorithmic assessment of shoulder function using smartphone video capture and machine learning.Scientific reports · 2023Article
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4 authors at 2 institutions in 1 country.
Funding
Abstract
The human hand is unique in the animal kingdom for unparalleled dexterity, ranging from complex prehension to fine finger individuation. How does the brain represent such a diverse repertoire of movements? We evaluated mesoscale neural dynamics across the human "grasp network," using electrocorticography and dimensionality reduction methods, for a repertoire of hand movements. Strikingly, we found that the grasp network represented both finger and grasping movements alike. Specifically, the manifold characterizing the multi-areal neural covariance structure was preserved during all movements across this distributed network. In contrast, latent neural dynamics within this manifold were surprisingly specific to movement type. Aligning latent activity to kinematics further uncovered distinct submanifolds despite similarities in synergistic coupling of joints between movements. We thus find that despite preserved neural covariance at the distributed network level, mesoscale dynamics are compartmentalized into movement-specific submanifolds; this mesoscale organization may allow flexible switching between a repertoire of hand movements.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.