Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA; T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA 91125, USA.
Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA; T&C Chen Brain-Machine Interface Center, California Institute of Technology, Pasadena, CA 91125, USA; Department of Neurological Surgery, Keck School of Medicine of USC, Los Angeles, CA 90033, USA; USC Neurorestoration Center, Keck School of Medicine of USC, Los Angeles, CA 90033, USA.
Neuron. 2022 Jun 1;110(11):1777-1787.e3. doi: 10.1016/j.neuron.2022.03.009. Epub 2022 Mar 31.
The cortical grasp network encodes planning and execution of grasps and processes spoken and written aspects of language. High-level cortical areas within this network are attractive implant sites for brain-machine interfaces (BMIs). While a tetraplegic patient performed grasp motor imagery and vocalized speech, neural activity was recorded from the supramarginal gyrus (SMG), ventral premotor cortex (PMv), and somatosensory cortex (S1). In SMG and PMv, five imagined grasps were well represented by firing rates of neuronal populations during visual cue presentation. During motor imagery, these grasps were significantly decodable from all brain areas. During speech production, SMG encoded both spoken grasp types and the names of five colors. Whereas PMv neurons significantly modulated their activity during grasping, SMG's neural population broadly encoded features of both motor imagery and speech. Together, these results indicate that brain signals from high-level areas of the human cortex could be used for grasping and speech BMI applications.
皮质抓握网络编码抓握的规划和执行，并处理语言的口语和书面方面。该网络中的高级皮质区域是脑机接口 (BMI) 的理想植入部位。当一名四肢瘫痪患者进行抓握运动想象和发声言语时，从缘上回 (SMG)、腹侧运动前皮质 (PMv) 和躯体感觉皮质 (S1) 记录神经活动。在 SMG 和 PMv 中，在视觉提示呈现期间，神经元群体的放电率很好地代表了五种想象中的抓握方式。在运动想象期间，这些抓握可以从所有大脑区域中进行显著解码。在言语产生期间，SMG 编码了口语抓握类型和五种颜色的名称。虽然 PMv 神经元在抓握时显著调节其活动，但 SMG 的神经群体广泛编码了运动想象和言语的特征。这些结果表明，人类皮质高级区域的脑信号可用于抓握和言语 BMI 应用。
