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A soft and stretchable bilayer electrode array with independent functional layers for the next generation of brain machine interfaces
Journal of Neural Engineering ( IF 4 ) Pub Date : 2020-10-13 , DOI: 10.1088/1741-2552/abb4a5
Oliver Graudejus 1, 2 , Cody Barton 3 , Ruben D Ponce Wong 2 , Cami C Rowan 2 , Denise Oswalt 3 , Bradley Greger 3
Affiliation  

Objective. Brain-Machine Interfaces (BMIs) hold great promises for advancing neuroprosthetics, robotics, and for providing treatment options for severe neurological diseases. The objective of this work is the development and in vivo evaluation of electrodes for BMIs that meet the needs to record brain activity at sub-millimeter resolution over a large area of the cortex while being soft and electromechanically robust (i.e. stretchable). Approach. Current electrodes require a trade-off between high spatiotemporal resolution and cortical coverage area. To address the needs for simultaneous high resolution and large cortical coverage, the prototype electrode array developed in this study employs a novel bilayer routing of soft and stretchable lead wires from the recording sites on the surface of the brain (electrocorticography, ECoG) to the data acquisition system. Main results. To validate the recording characteristics, the array was implanted in healt...

中文翻译:

用于下一代脑机接口的具有独立功能层的柔软且可拉伸的双层电极阵列

客观的。脑机接口 (BMI) 在推进神经修复学、机器人技术以及为严重的神经系统疾病提供治疗选择方面大有希望。这项工作的目的是开发和体内评估用于 BMI 的电极,以满足在大面积皮质区域以亚毫米分辨率记录大脑活动的需求,同时柔软且机电坚固(即可拉伸)。方法。当前的电极需要在高时空分辨率和皮质覆盖区域之间进行权衡。为了满足同时高分辨率和大皮层覆盖的需求,本研究中开发的原型电极阵列采用了一种新颖的双层布线,从大脑表面的记录部位(皮层电图,ECoG) 到数据采集系统。主要结果。为了验证记录特性,将阵列植入健康...
更新日期:2020-10-15
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