Fully Passive Flexible Wireless Neural Recorder for the Acquisition of Neuropotentials from a Rat Model
Fully Passive Flexible Wireless Neural Recorder for the Acquisition of Neuropotentials from a Rat Model
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DOI：
10.1021/acssensors.9b01491
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发表时间：
2019-12-01
期刊：
影响因子：
8.9
通讯作者：
Chae, Junseok
中科院分区：
文献类型：
--
作者：
Liu, Shiyi;Moncion, Carolina;Chae, Junseok
无线植入式神经接口可以记录高分辨率的神经电位，而不会限制患者的运动。现有的无线系统通常需要颅内导线将植入的电极连接到外部头台或/和部署专用集成电路（ASIC），该专用集成电路是电池供电的或外部电力传输的，从而引起安全问题，例如感染、电子故障或热诱导的组织损伤。这项工作提出了一种生物相容的，灵活的，可植入的神经记录器，能够无线采集神经电位没有电线，电池，能量收集单元，或有源电子。该记录器在薄聚酰亚胺基板上制造，具有9 mm x 8 mm x 0.3 mm的小尺寸，由无源电子元件组成。器件上没有有源电子器件，导致功耗接近零，本质上避免了有源电子器件的灾难性故障。我们进行了体外验证的组织模拟体模和癫痫大鼠体内验证。将全无源无线记录器植入大鼠头皮下，从其接触电极测量神经电位。植入式无线记录器证明其能够捕获低电压神经电位，包括体感诱发电位（SSEP）和发作间期癫痫样放电（IED）。无线记录的SSEP和IED信号直接与有线电极的信号进行比较，以证明无线数据的有效性。此外，一种基于卷积神经网络的机器学习算法成功地实现了IED信号识别的准确性，在有线和无线IED数据中分别高达100%和91%。这些结果有力地支持了全被动无线神经记录仪测量低至数十微伏的神经电位的能力。随着进一步的改进，本工作中提出的记录器系统可能会在未来的脑机接口系统中找到广泛的应用。
Wireless implantable neural interfaces can record high-resolution neuropotentials without constraining patient movement. Existing wireless systems often require intracranial wires to connect implanted electrodes to an external head stage or/and deploy an application-specific integrated circuit (ASIC), which is battery-powered or externally power-transferred, raising safety concerns such as infection, electronics failure, or heat-induced tissue damage. This work presents a biocompatible, flexible, implantable neural recorder capable of wireless acquisition of neuropotentials without wires, batteries, energy harvesting units, or active electronics. The recorder, fabricated on a thin polyimide substrate, features a small footprint of 9 mm x 8 mm x 0.3 mm and is composed of passive electronic components. The absence of active electronics on the device leads to near zero power consumption, inherently avoiding the catastrophic failure of active electronics. We performed both in vitro validation in a tissue-simulating phantom and in vivo validation in an epileptic rat. The fully passive wireless recorder was implanted under rat scalp to measure neuropotentials from its contact electrodes. The implanted wireless recorder demonstrated its capability to capture low voltage neuropotentials, including somatosensory evoked potentials (SSEPs), and interictal epileptiform discharges (IEDs). Wirelessly recorded SSEP and IED signals were directly compared to those from wired electrodes to demonstrate the efficacy of the wireless data. In addition, a convoluted neural network-based machine learning algorithm successfully achieved IED signal recognition accuracy as high as 100 and 91% in wired and wireless IED data, respectively. These results strongly support the fully passive wireless neural recorder's capability to measure neuropotentials as low as tens of microvolts. With further improvement, the recorder system presented in this work may find wide applications in future brain machine interface systems.