Decoding individuated finger movements using volume-constrained neuronal. ensembles in the M1 hand area
Decoding individuated finger movements using volume-constrained neuronal. ensembles in the M1 hand area
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DOI：
10.1109/tnsre.2007.916269
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发表时间：
2008-02-01
影响因子：
4.9
通讯作者：
Thakor, Nitish V.
中科院分区：
文献类型：
--
作者：
Acharya, Soumyadipta;Tenore, Francesco;Thakor, Nitish V.
个性化的手指和手腕运动可以使用广泛分布在主运动(M1)手部区域的随机神经元亚群来解码。这项工作调查了1)是否有可能使用通常从微电极阵列记录的空间受限的神经元体积来解码灵活的手指运动；以及2)解码精度是否因阵列的配置或在M1手区内的位置而不同。在两只恒河猴进行个性化的手指和手腕运动时，他们的任务相关神经元的单个单位活动被顺序记录下来。通过将这些活动限制在传统微电极阵列结构的记录场尺寸来模拟同时的神经元集合。基于人工神经网络(ANN)的过滤器能够对大多数动作类型的个性化手指动作进行解码，准确率高于90%，仅使用20个来自这些集成活动的神经元。此外，对于大多数情况，解码精度与记录体积的位置没有显著差异(p<；0.01)。结果表明，可以使用广泛放置在M1手区的微电极阵列来实现对个性化手指和手腕的灵活控制的脑机接口(BMI)。
Individuated finger and wrist movements can be decoded using random subpopulations of neurons that are widely distributed in the primary motor (M1) hand area. This work investigates 1) whether it is possible to decode dexterous finger movements using spatially-constrained volumes of neurons as typically recorded from a microelectrode array; and 2) whether decoding accuracy differs due to the configuration or location of the array within the M1 hand area. Single-unit activities were sequentially recorded from task-related neurons in two rhesus monkeys as they performed individuated movements of the fingers and the wrist. Simultaneous neuronal ensembles were simulated by constraining these activities to the recording field dimensions of conventional microelectrode array architectures. Artificial neural network (ANN) based filters were able to decode individuated finger movements with greater than 90% accuracy for the majority of movement types, using as few as 20 neurons from these ensemble activities. Furthermore, for the large majority of cases there were no significant differences (p < 0.01) in decoding accuracy as a function of the location of the recording volume. The results suggest that a brain-machine interface (BMI) for dexterous control of individuated fingers and the wrist can be implemented using microelectrode arrays placed broadly in the M1 hand area.