Paul V Milner, Philips Zachariah, Jijo Francis, Siji George, Adarsh V Parekkattil, Suni Jose, S Athithya, Caren Babu, Binoy Johnson, Loitongbam Surajkumar Singh, Shuma Adhikari
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引用次数: 0
Abstract
The study introduces a lightweight, Bluetooth-enabled deep brain stimulation (DBS) device that is designed specifically for preclinical research in small, freely moving animals. To address the current limitations in waveform flexibility and wireless control, we developed a compact, multifunctional stimulator capable of delivering programmable, charge-balanced biphasic waveforms while simultaneously acquiring neural signals. The system integrates off-the-shelf components for current regulation, signal amplification, and analog-to-digital conversion, all managed by a low-power microcontroller. The assembly includes key steps such as circuit integration on a double-sided 30 x 30 mm PCB, waveform programming via nRF Connect, and validation through saline and load resistance testing. In vitro assessments demonstrated reliable current output across varying load impedances, effective saline operation without waveform degradation, and high-fidelity neural signal recording with a signal-to-noise ratio exceeding 35 dB. These results confirm the device's suitability for closed-loop neuromodulation experiments and lay the groundwork for future translational studies in DBS therapy.
该研究介绍了一种轻量级的蓝牙脑深部刺激(DBS)设备,该设备是专门为小型自由活动动物的临床前研究而设计的。为了解决当前波形灵活性和无线控制方面的限制,我们开发了一种紧凑的多功能刺激器,能够提供可编程的电荷平衡双相波形,同时获取神经信号。该系统集成了现有的电流调节、信号放大和模数转换组件,所有这些组件都由一个低功耗微控制器管理。该组件包括关键步骤,例如在双面30 x 30 mm PCB上的电路集成,通过nRF Connect进行波形编程,以及通过盐水和负载阻力测试进行验证。体外评估表明,在不同负载阻抗下,该系统具有可靠的电流输出,有效的盐水手术无波形退化,以及信噪比超过35 dB的高保真神经信号记录。这些结果证实了该装置在闭环神经调节实验中的适用性,并为未来DBS治疗的转化研究奠定了基础。
期刊介绍:
JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.