期刊
JOURNAL OF NEUROSCIENCE
卷 42, 期 49, 页码 9142-9157出版社
SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.0746-22.2022
关键词
cortical dynamics; locomotion; motor control; neural subspaces
资金
- Defense Advanced Research Projects Agency (DARPA) BTO under the auspices of Dr. Doug Weber and Alfred Emondi through the Space and Naval Warfare Systems Center Pacific or DARPA Contracts Management Office [D15AP00112]
- US Department of Veterans Affairs, Rehabilitation Research and Development Service [I01RX002835]
- Pablo J. Salame Goldman Sachs endowed Associate Professorship of Computational Neuroscience at Brown University
- Howard Reisman '76 Family Graduate Fellowship Fund
- Charles A. Dana Graduate Fellowship Fund
The study reveals the existence of separate underlying subspaces in the nervous system during complex locomotion, which coordinate ongoing neural dynamics related to locomotion with voluntary gait adjustments. These findings have important implications for the development of brain-machine interfaces.
The ability to modulate ongoing walking gait with precise, voluntary adjustments is what allows animals to navigate complex terrains. However, how the nervous system generates the signals to precisely control the limbs while simultaneously maintaining locomotion is poorly understood. One potential strategy is to distribute the neural activity related to these two functions into distinct cortical activity coactivation subspaces so that both may be conducted simultaneously without disruptive interference. To investigate this hypothesis, we recorded the activity of primary motor cortex in male nonhuman primates during obstacle avoidance on a treadmill. We found that the same neural population was active during both basic unobstructed locomotion and volitional obstacle avoidance movements. We identified the neural modes spanning the subspace of the low-dimensional dynamics in primary motor cortex and found a subspace that consistently maintains the same cyclic activity throughout obstacle stepping, despite large changes in the movement itself. All of the variance corresponding to this large change in movement during the obstacle avoidance was confined to its own distinct subspace. Furthermore, neural decoders built for ongoing locomotion did not generalize to decoding obstacle avoidance during locomotion. Our findings suggest that separate underlying subspaces emerge during complex locomotion that coordinates ongoing locomotor-related neural dynamics with volitional gait adjustments. These findings may have important implications for the development of brain-machine interfaces.
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