Johnston Renée, Abbass Mohamad, Corrigan Benjamin, Gulli Roberto, Martinez-Trujillo Julio, Sachs Adam
University of Ottawa Brain and Mind Research Institute, Ottawa, ON, Canada.
Ottawa Hospital Research Institute, Ottawa, ON, Canada.
J Neural Eng. 2023 Feb 24;20(1). doi: 10.1088/1741-2552/acb5c2.
. Decoding the intended trajectories from brain signals using a brain-computer interface system could be used to improve the mobility of patients with disabilities.. Neuronal activity associated with spatial locations was examined while macaques performed a navigation task within a virtual environment.Here, we provide proof of principle that multi-unit spiking activity recorded from the lateral prefrontal cortex (LPFC) of non-human primates can be used to predict the location of a subject in a virtual maze during a navigation task. The spatial positions within the maze that require a choice or are associated with relevant task events can be better predicted than the locations where no relevant events occur. Importantly, within a task epoch of a single trial, multiple locations along the maze can be independently identified using a support vector machine model.. Considering that the LPFC of macaques and humans share similar properties, our results suggest that this area could be a valuable implant location for an intracortical brain-computer interface system used for spatial navigation in patients with disabilities.
使用脑机接口系统从脑信号中解码预期轨迹可用于改善残疾患者的移动性。在猕猴在虚拟环境中执行导航任务时，研究了与空间位置相关的神经元活动。在此，我们提供了原理证明，即从非人类灵长类动物的外侧前额叶皮层（LPFC）记录的多单元尖峰活动可用于预测导航任务期间虚拟迷宫中受试者的位置。与无相关事件发生的位置相比，迷宫中需要做出选择或与相关任务事件相关的空间位置能得到更好的预测。重要的是，在单次试验的一个任务时段内，使用支持向量机模型可以独立识别沿迷宫的多个位置。考虑到猕猴和人类的LPFC具有相似的特性，我们的结果表明，该区域可能是用于残疾患者空间导航的皮层内脑机接口系统的一个有价值的植入位置。
