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◆ Nature2026-06-17· Precentral gyrus

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

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

原始摘要(英文原文)· Original abstract
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 scale1–10, characterization in humans remains primarily limited to low-resolution recording11–16 and stimulation techniques17–20. 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. A comprehensive map of the human motor cortex at single-neuron resolution is described.
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