High-density mapping of primate digit representations with a 1152-channel μECoG array
High-density mapping of primate digit representations with a 1152-channel μECoG array
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DOI：
10.1088/1741-2552/abe245
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发表时间：
2021-06-01
影响因子：
4
通讯作者：
Suzuki, Takafumi
中科院分区：
文献类型：
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作者：
Kaiju, Taro;Inoue, Masato;Suzuki, Takafumi
Objective.脑机接口（BMI）的进步有望为运动障碍患者提供支持。皮层电图（ECoG）使用放置在皮层上的低侵入性柔性片材测量大面积的电生理活动。ECoG被认为是临床BMI设备的可行信号源。为了更精确地捕捉神经活动，研究了更高密度阵列的可行性。然而，目前，由于布线困难、设备尺寸和系统成本，电极的数量被限制在大约300个。Approach.我们开发了一种高密度记录系统，具有大覆盖范围（14 x 7 mm（2）），并通过直接集成专用柔性阵列与神经记录专用集成电路及其插入器使用1152个电极。主要结果。与128通道阵列的比较实验表明，所提出的设备可以描绘整个数字表示的非人类灵长类动物。二次采样分析表明，可以使用更高密度的阵列测量更高幅度的信号。意义我们期望所提出的系统同时建立大规模采样，电生理学的高时间精度和与光学成像相当的高空间分辨率，将适用于下一代脑传感技术。
Objective. Advances in brain-machine interfaces (BMIs) are expected to support patients with movement disorders. Electrocorticogram (ECoG) measures electrophysiological activities over a large area using a low-invasive flexible sheet placed on the cortex. ECoG has been considered as a feasible signal source of the clinical BMI device. To capture neural activities more precisely, the feasibility of higher-density arrays has been investigated. However, currently, the number of electrodes is limited to approximately 300 due to wiring difficulties, device size, and system costs. Approach. We developed a high-density recording system with a large coverage (14 x 7 mm(2)) and using 1152 electrodes by directly integrating dedicated flexible arrays with the neural-recording application-specific integrated circuits and their interposers. Main results. Comparative experiments with a 128-channel array demonstrated that the proposed device could delineate the entire digit representation of a nonhuman primate. Subsampling analysis revealed that higher-amplitude signals can be measured using higher-density arrays. Significance. We expect that the proposed system that simultaneously establishes large-scale sampling, high temporal-precision of electrophysiology, and high spatial resolution comparable to optical imaging will be suitable for next-generation brain-sensing technology.