Ensemble recordings of human subcortical neurons as a source of motor control signals for a brain-machine interface
Ensemble recordings of human subcortical neurons as a source of motor control signals for a brain-machine interface
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DOI：
10.1227/01.neu.0000126872.23715.e5
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发表时间：
2004-07-01
期刊：
影响因子：
4.8
通讯作者：
Turner, DA
中科院分区：
文献类型：
--
作者：
Patil, PG;Carmena, LM;Turner, DA
目的：脑机接口利用运动中枢的神经元活动来控制神经假体装置，可能会使严重神经损伤（如四肢瘫痪）患者受益匪浅。在这里，我们报告了在人类术中环境中实施这一策略，以评估使用皮层下运动区神经元驱动人脑-机器界面的可行性。方法：使用32微线阵列对11例清醒的患者进行深部脑刺激手术，获得丘脑下核和丘脑运动区（腹侧口后核[VOP]/腹侧中间核[VIM]）的急性整体记录。在细胞外神经元记录过程中，患者同时进行视觉反馈握力任务。然后通过离线分析来探讨神经元调制与抓握力之间的关系。结果：个体神经元（n = 28 VOP/VIM, n = 119丘脑下核）在对侧手握力变化发生前后均表现出不同的调节反应。总的来说，61%的丘脑下核神经元和81%的VOP/VIM神经元受抓握力的调节。值得注意的是，同时记录的3到55个神经元的集合具有足够丰富的信息，可以在30秒的测试期间以相当高的准确性预测握力（高达R = 0.82, R-2 = 0.68）。更长的训练时间和更大的神经元群与预测准确性的提高有关。结论：这项初步的可行性研究弥合了非人灵长类动物实验室和人类术中环境之间的差距，表明来自人类皮层下运动区域的神经元集合可能能够为未来的脑机接口提供信息控制信号。
OBJECTIVE: Patients with severe neurological injury, such as quadriplegics, might benefit greatly from a brain-machine interface that uses neuronal activity from motor centers to control a neuroprosthetic device. Here, we report an implementation of this strategy in the human intraoperative setting to assess the feasibility of using neurons in subcortical motor areas to drive a human brain-machine interface.METHODS: Acute ensemble recordings from subthalamic nucleus and thalamic motor areas (Ventralis oralis posterior [VOP]/ventralis intermediate nucleus [VIM]) were obtained in 11 awake patients during deep brain stimulator surgery by use of a 32-microwire array. During extracellular neuronal recordings, patients simultaneously performed a visual feedback hand-gripping force task. Offline analysis was then used to explore the relationship between neuronal modulation and gripping force.RESULTS: Individual neurons (n = 28 VOP/VIM, n = 119 subthalamic nucleus) demonstrated a variety of modulation responses both before and after onset of changes in gripping force of the contralateral hand. Overall, 61% of subthalamic nucleus neurons and 81% of VOP/VIM neurons modulated with gripping force. Remarkably, ensembles of 3 to 55 simultaneously recorded neurons were sufficiently information-rich to predict gripping force during 30-second test periods with considerable accuracy (up to R = 0.82, R-2 = 0.68) after short training periods. Longer training periods and larger neuronal ensembles were associated with improved predictive accuracy.CONCLUSION: This initial feasibility study bridges the gap between the nonhuman primate laboratory and the human intraoperative setting to suggest that neuronal ensembles from human subcortical motor regions may be able to provide informative control signals to a future brain-machine interface.