ArticleJournal of neural engineering2020
Decoding hand kinematics from population responses in sensorimotor cortex during grasping.
Article in Journal of neural engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 47 citations in OpenAlex.
- Flexible reorientation of conserved neural dynamics underlies grasp control.bioRxiv : the preprint server for biology · 2026Article
- Primate neuroethology: a new synthesis.Trends in cognitive sciences · 2026Review
- Overlap in neural representations of coordinated wrist and finger movements in human motor cortex.bioRxiv : the preprint server for biology · 2026Article
- Limb state accounts for differences between motor imagery and action in motor cortex.medRxiv : the preprint server for health sciences · 2026Article
- Evolution of object identity information in sensorimotor cortex throughout grasp.Nature communications · 2026Article
- Mouse sensorimotor cortex reflects complex kinematic details during reaching and grasping.eLife · 2026Article
- Decoding multi-joint hand movements from brain signals by learning a synergy-based neural manifold.Patterns (New York, N.Y.) · 2025Article
- A dynamic subset of network interactions underlies tuning to natural movements in marmoset sensorimotor cortex.Nature communications · 2024Article
- A dynamic subset of network interactions underlies tuning to natural movements in marmoset sensorimotor cortex.Research square · 2023Article
- Decoding hand kinetics and kinematics using somatosensory cortex activity in active and passive movement.iScience · 2023Article
- Sensory weighting of position and force feedback during pinching.Experimental brain research · 2023Article
- Robust cortical encoding of 3D tongue shape during feeding in macaques.Nature communications · 2023Article
- Edge Computing in Nature: Minimal pre-processing of multi-muscle ensembles of spindle signals improves discriminability of limb movements.Frontiers in physiology · 2023Article
- Review
- Prehension kinematics in humans and macaques.Journal of neurophysiology · 2022Article
- Decoding grasp and speech signals from the cortical grasp circuit in a tetraplegic human.Neuron · 2022Article
- The science and engineering behind sensitized brain-controlled bionic hands.Physiological reviews · 2022Review
- The neural mechanisms of manual dexterity.Nature reviews. Neuroscience · 2021Review
- Article
- Of mice and monkeys: Somatosensory processing in two prominent animal models.Progress in neurobiology · 2021Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
objectiveThe hand-a complex effector comprising dozens of degrees of freedom of movement-endows us with the ability to flexibly, precisely, and effortlessly interact with objects. The neural signals associated with dexterous hand movements in primary motor cortex (M1) and somatosensory cortex (SC) have received comparatively less attention than have those associated with proximal upper limb control. APPROACH: To fill this gap, we trained two monkeys to grasp objects varying in size and shape while tracking their hand postures and recording single-unit activity from M1 and SC. We then decoded their hand kinematics across tens of joints from population activity in these areas. MAIN
resultsWe found that we could accurately decode kinematics with a small number of neural signals and that different cortical fields carry different amounts of information about hand kinematics. In particular, neural signals in rostral M1 led to better performance than did signals in caudal M1, whereas Brodmann's area 3a outperformed areas 1 and 2 in SC. Moreover, decoding performance was higher for joint angles than joint angular velocities, in contrast to what has been found with proximal limb decoders. SIGNIFICANCE: We conclude that cortical signals can be used for dexterous hand control in brain machine interface applications and that postural representations in SC may be exploited via intracortical stimulation to close the sensorimotor loop.
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Registered trials
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.