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首页> 外文期刊>Journal of clinical neuroscience: official journal of the Neurosurgical Society of Australasia >Technical considerations for generating somatosensation via cortical stimulation in a closed-loop sensory/motor brain-computer interface system in humans
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Technical considerations for generating somatosensation via cortical stimulation in a closed-loop sensory/motor brain-computer interface system in humans

机译:通过在人类的闭环感官/电动机脑 - 计算机接口系统中通过皮质刺激产生躯体溶解的技术考虑因素

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摘要

Somatosensory feedback is the next step in brain computer interface (BCI). Here, we compare three cortical stimulating array modalities for generating somatosensory percepts in BCI. We compared human subjects with either a 64-channel "mini"-electrocorticography grid (mECoG; 1.2-mm diameter exposed contacts with 3-mm spacing, N = 1) over the hand area of primary somatosensory cortex (S1), or a standard grid (sECoG; 1.5-mm diameter exposed contacts with 1-cm spacing, N = 1), to generate artificial somatosensation through direct electrical cortical stimulation. Finally, we reference data in the literature from a patient implanted with microelectrode arrays (MEA) placed in the S1 hand area. We compare stimulation results to assess coverage and specificity of the artificial percepts in the hand. Using the mECoG array, hand mapping revealed coverage of 41.7% of the hand area versus 100% for the sECoG array, and 18.8% for the MEA. On average, stimulation of a single electrode corresponded to sensation reported in 4.42 boxes (range 1-11 boxes) for the mECoG array, 19.11 boxes (range 4-48 boxes) for the sECoG grid, and 2.3 boxes (range 1-5 boxes) for the MEA. Sensation in any box, on average, corresponded to stimulation from 2.65 electrodes (range 1-5 electrodes) for the mECoG grid, 3.58 electrodes for the sECoG grid (range 2-4 electrodes), and 11.22 electrodes (range 2-17 electrodes) for the MEA. Based on these findings, we conclude that mECoG grids provide an excellent balance between spatial cortical coverage of the hand area of S1 and high-density resolution. (C) 2019 Elsevier Ltd. All rights reserved.
机译:Somatosory反馈是脑电脑界面(BCI)的下一步。在这里,我们比较三种皮质刺激阵列方式,用于在BCI中产生躯体感觉感知。我们将人类受试者与64通道的“迷你” - 电子导管网格(MECOG; 1.2毫米直径在3 mm间距,n = 1)上的初级躯体感应皮层(S1)或标准的情况下网格(Secog; 1.5mm直径暴露的接触,具有1cm间距,n = 1),通过直接电气皮质刺激产生人工躯体溶解。最后,我们将文献中的数据从植入的微电极阵列(MEA)植入S1手区域中。我们比较刺激结果评估手中人工感知的覆盖率和特异性。使用MECOG阵列,手工映射显示SECOG阵列的41.7%的覆盖率为41.7%,而MEA的18.8%。平均而言,刺激单个电极对应于4.42盒子(范围1-11盒)中报告的感觉,用于Secog Grid的19.11盒(范围4-48盒)和2.3盒子(范围1-5箱)对于mea。在任何框中的感觉平均,相当于MECOG网格的2.65电极(范围1-5电极)的刺激,SECOG网格(范围2-4电极)和11.22个电极(范围2-17电极)对于mea。基于这些发现,我们得出结论,Mecog网格在S1的手面积和高密度分辨率的空间皮质覆盖范围之间提供了出色的平衡。 (c)2019年elestvier有限公司保留所有权利。

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