Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, and Osaka University, Osaka, Japan.
Department of Neurological Diagnosis and Restoration, Osaka University Graduate School of Medicine, Osaka, Japan.
J Neural Eng. 2021 Mar 17;18(3). doi: 10.1088/1741-2552/abe245.
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.We developed a high-density recording system with a large coverage (14 × 7 mm) and using 1152 electrodes by directly integrating dedicated flexible arrays with the neural-recording application-specific integrated circuits and their interposers.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.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.
脑机接口(BMI)的进步有望为运动障碍患者提供支持。皮层上放置的低侵入性柔性片可通过脑电图(ECoG)测量大面积的电生理活动。ECoG 被认为是临床 BMI 设备的一种可行的信号源。为了更精确地捕捉神经活动,已经研究了更高密度阵列的可行性。然而,由于布线困难、设备尺寸和系统成本,目前电极数量限制在大约 300 个左右。我们开发了一种具有大覆盖范围(14×7mm)和使用 1152 个电极的高密度记录系统,通过直接将专用柔性阵列与神经记录专用集成电路及其介面器集成。与 128 通道阵列的比较实验表明,所提出的设备可以描绘非人类灵长类动物的整个数字表示。子采样分析表明,更高密度的阵列可以测量更高幅度的信号。我们预计,该系统可同时实现大规模采样、电生理学的高精度时间分辨率和与光学成像相当的高空间分辨率,适用于下一代脑传感技术。