<p>Understanding how the body is represented in the motor cortex is key to understanding how the brain controls movement. Although the motor cortex has been mapped in animal models at a fine scale<sup><CitationRef AdditionalCitationIDS="CR2 CR3 CR4 CR5 CR6 CR7 CR8 CR9" CitationID="CR1">1</CitationRef>–<CitationRef CitationID="CR10">10</CitationRef></sup>, characterization in humans remains primarily limited to low-resolution recording<sup><CitationRef AdditionalCitationIDS="CR12 CR13 CR14 CR15" CitationID="CR11">11</CitationRef>–<CitationRef CitationID="CR16">16</CitationRef></sup> and stimulation techniques<sup><CitationRef AdditionalCitationIDS="CR18 CR19" CitationID="CR17">17</CitationRef>–<CitationRef CitationID="CR20">20</CitationRef></sup>. Here we created a comprehensive map of the human motor cortex at single-neuron resolution, spanning microelectrode array recordings from 20 arrays across 8 individuals with paralysis from spinal cord injury, amyotrophic lateral sclerosis or brainstem stroke, all enrolled in brain–computer interface clinical trials. These arrays broadly sample the crown of the precentral gyrus (PCG; thought to be composed largely of the premotor cortex (Brodmann area 6)). We found that body parts were highly intermixed, such that the entire body was represented in all sampled locations of the PCG, although the relative strength of body parts was roughly consistent with the motor homunculus<sup><CitationRef CitationID="CR17">17</CitationRef>,<CitationRef CitationID="CR18">18</CitationRef></sup>. We also found two speech-preferential areas with a broadly tuned, orofacial-dominant area in between them. Throughout the PCG, movement representations of the four limbs were interlinked, with homologous movements of different limbs (for example, toe curl and hand close) having correlated representations. These data provide evidence consistent with an intermixed, interrelated and behaviour-centred organization of the motor cortex<sup><CitationRef CitationID="CR3">3</CitationRef>,<CitationRef CitationID="CR21">21</CitationRef></sup>. The resulting map also provides important targeting information for brain–computer interfaces that seek to restore motor function.</p>

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A mosaic of whole-body representations on the human precentral gyrus

  • Darrel R. Deo,
  • Elizaveta V. Okorokova,
  • Anna L. Pritchard,
  • Nick V. Hahn,
  • Nicholas S. Card,
  • Samuel R. Nason-Tomaszewski,
  • Justin Jude,
  • Thomas Hosman,
  • Eun Young Choi,
  • Deqiang Qiu,
  • Yuguang Meng,
  • Maitreyee Wairagkar,
  • Claire Nicolas,
  • Foram B. Kamdar,
  • Carrina Iacobacci,
  • Alexander Acosta,
  • Leigh R. Hochberg,
  • Sydney S. Cash,
  • Ziv M. Williams,
  • Daniel B. Rubin,
  • David M. Brandman,
  • Sergey D. Stavisky,
  • Nicholas AuYong,
  • Chethan Pandarinath,
  • John E. Downey,
  • Sliman J. Bensmaia,
  • Jaimie M. Henderson,
  • Francis R. Willett

摘要

Understanding how the body is represented in the motor cortex is key to understanding how the brain controls movement. Although the motor cortex has been mapped in animal models at a fine scale110, characterization in humans remains primarily limited to low-resolution recording1116 and stimulation techniques1720. Here we created a comprehensive map of the human motor cortex at single-neuron resolution, spanning microelectrode array recordings from 20 arrays across 8 individuals with paralysis from spinal cord injury, amyotrophic lateral sclerosis or brainstem stroke, all enrolled in brain–computer interface clinical trials. These arrays broadly sample the crown of the precentral gyrus (PCG; thought to be composed largely of the premotor cortex (Brodmann area 6)). We found that body parts were highly intermixed, such that the entire body was represented in all sampled locations of the PCG, although the relative strength of body parts was roughly consistent with the motor homunculus17,18. We also found two speech-preferential areas with a broadly tuned, orofacial-dominant area in between them. Throughout the PCG, movement representations of the four limbs were interlinked, with homologous movements of different limbs (for example, toe curl and hand close) having correlated representations. These data provide evidence consistent with an intermixed, interrelated and behaviour-centred organization of the motor cortex3,21. The resulting map also provides important targeting information for brain–computer interfaces that seek to restore motor function.