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一种用于记录啮齿动物脑电信号的柔性可植入微电极阵列。

A flexible implantable microelectrode array for recording electrocorticography signals from rodents.

机构信息

Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, India.

Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, India.

出版信息

Biomed Microdevices. 2022 Sep 17;24(4):31. doi: 10.1007/s10544-022-00632-0.

Abstract

Electrocorticography signals, the intracranial recording of electrical signatures of the brain, are recorded by non-penetrating planar electrode arrays placed on the cortical surface. Flexible electrode arrays minimize the tissue damage upon implantation. This work shows the design and development of a 32-channel flexible microelectrode array to record electrocorticography signals from the rat's brain. The array was fabricated on a biocompatible flexible polyimide substrate. A titanium/gold layer was patterned as electrodes, and a thin polyimide layer was used for insulation. The fabricated microelectrode array was mounted on the exposed somatosensory cortex of the right hemisphere of a rat after craniotomy and incision of the dura. The signals were recorded using OpenBCI Cyton Daisy Biosensing Boards. The array faithfully recorded the baseline electrocorticography signals, the induced epileptic activities after applying a convulsant, and the recovered baseline signals after applying an antiepileptic drug. The signals recorded by such fabricated microelectrode array from anesthetized rats demonstrate its potential to monitor electrical signatures corresponding to epilepsy. Finally, the time-frequency analyses highlight the difference in spatiotemporal features of baseline and evoked epileptic discharges.

摘要

脑电信号是通过放置在皮质表面的非穿透性平面电极阵列记录的大脑电信号的颅内记录。柔性电极阵列最大限度地减少了植入时的组织损伤。这项工作展示了一种 32 通道柔性微电极阵列的设计和开发,用于记录大鼠大脑的脑电信号。该阵列是在生物相容性柔性聚酰亚胺基底上制造的。钛/金层被图案化为电极,而薄的聚酰亚胺层用于绝缘。在颅骨切开术和硬脑膜切开术后,将制造的微电极阵列安装在大鼠右半球暴露的体感皮层上。使用 OpenBCI Cyton Daisy 生物传感板记录信号。该阵列忠实地记录了基线脑电信号、应用致惊厥剂后诱导的癫痫活动以及应用抗癫痫药物后恢复的基线信号。从麻醉大鼠记录的这种制造的微电极阵列的信号表明其具有监测与癫痫相关的电信号的潜力。最后,时频分析突出了基线和诱发癫痫发作的时空特征的差异。

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