Cited by 173Motor Control and AdaptationTactile and Sensory InteractionsEEG and Brain-Computer Interfaces

Hand Knob Area of Premotor Cortex Represents the Whole Body in a Compositional Way

Open access
Willett, Francis R., Deo, Darrel R., Avansino, Donald T., Rezaii, Paymon, Hochberg, Leigh R., Henderson, Jaimie M., Shenoy, Krishna V.·2020·Cell

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Abstract

Decades after the motor homunculus was first proposed, it is still unknown how different body parts are intermixed and interrelated in human motor cortical areas at single-neuron resolution. Using multi-unit recordings, we studied how face, head, arm, and leg movements are represented in the hand knob area of premotor cortex (precentral gyrus) in people with tetraplegia. Contrary to traditional expectations, we found strong representation of all movements and a partially "compositional" neural code that linked together all four limbs. The code consisted of (1) a limb-coding component representing the limb to be moved and (2) a movement-coding component where analogous movements from each limb (e.g., hand grasp and toe curl) were represented similarly. Compositional coding might facilitate skill transfer across limbs, and it provides a useful framework for thinking about how the motor system constructs movement. Finally, we leveraged these results to create a whole-body intracortical brain-computer interface that spreads targets across all limbs.

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  • At the neuronal level, locations on the anterior precentral gyrus in orofacial or hand areas contain single neurons tuned to movements of the whole body, including key speech articulators.

    “Interestingly, at the neuronal level, locations on the anterior precentral gyrus in orofacial or hand areas contain single neurons tuned to movements of the whole body, including key speech articulators15,51,52.”

    From The speech neuroprosthesis (2024) · cites this paper as [51]

  • A Gaussian Naive Bayes classifier was chosen because it is a simple method that effectively demonstrated strong neural tuning.

    “We chose a Gaussian Naive Bayes classifier because it is a simple method that effectively demonstrated strong neural tuning”

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Authors
Willett, F. R., Deo, D. R., Avansino, D. T., Rezaii, P., Hochberg, L. R., Henderson, J. M., & Shenoy, K. V.
Affiliations
  • Howard Hughes Medical Institute (US)
  • Stanford Medicine (US)
  • Harvard University (US)
Corresponding author
Willett, Francis R.
Venue
Cell
Publisher
Elsevier BV
Published
2020-04
Volume
181
Issue
2
Pages
396-409.e26
ISSN
0092-8674 (ISSN-L)
OpenAlex
W3014049597
Cited by
171
References
78
Citations by year
2026: 25 · 2025: 34 · 2024: 27 · 2023: 26 · 2022: 28 · 2021: 14 · 2020: 14 · 2019: 3
FWCI
11.01
Type
journal article
Language
en
Open access
Locations
  • Cell (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute on Deafness and Other Communication Disorders (R01DC009899)
  • U.S. Department of Veterans Affairs (N2864C, A2295R, B6453R)
  • Office of Naval Research (W911NF-14-2-0013)
  • National Institute of Neurological Disorders and Stroke (U01NS098968)
  • Howard Hughes Medical Institute
  • Office of Research and Development
  • Simons Foundation (543045)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Keywords
premotor cortex, motor homunculus, multi-unit recording, tetraplegia, motion representation, intracortical brain-computer interfaces, whole-body control, precentral gyrus
MeSH terms
Adult, Brain Mapping, Frontal Lobe, Humans, Motor Cortex, Movement, Human Body

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