Center for Neuroplasticity and Pain (CNAP), Department of Health Science and Technology, Aalborg University, 9220 Aalborg, Denmark.
Center for Biosensors, Bioelectronics and Biodevices (C3Bio), Department of Electronic & Electrical Engineering, University of Bath, Bath BA2 7AY, UK.
Sensors (Basel). 2021 Dec 23;22(1):58. doi: 10.3390/s22010058.
Decoding information from the peripheral nervous system via implantable neural interfaces remains a significant challenge, considerably limiting the advancement of neuromodulation and neuroprosthetic devices. The velocity selective recording (VSR) technique has been proposed to improve the classification of neural traffic by combining temporal and spatial information through a multi-electrode cuff (MEC). Therefore, this study investigates the feasibility of using the VSR technique to characterise fibre type based on the electrically evoked compound action potentials (eCAP) propagating along the ulnar nerve of pigs in vivo. A range of electrical stimulation parameters (amplitudes of 50 μA-10 mA and pulse durations of 100 μs, 500 μs, 1000 μs, and 5000 μs) was applied on a cutaneous and a motor branch of the ulnar nerve in nine Danish landrace pigs. Recordings were made with a 14 ring MEC and a delay-and-add algorithm was used to convert the eCAPs into the velocity domain. The results revealed two fibre populations propagating along the cutaneous branch of the ulnar nerve, with mean velocities of 55 m/s and 21 m/s, while only one dominant fibre population was found for the motor branch, with a mean velocity of 63 m/s. Because of its simplicity to provide information on the fibre selectivity and direction of propagation of nerve fibres, VSR can be implemented to advance the performance of the bidirectional control of neural prostheses and bioelectronic medicine applications.
通过植入式神经接口从周围神经系统解码信息仍然是一个重大挑战,这极大地限制了神经调节和神经假体设备的发展。速度选择记录 (VSR) 技术已被提出,通过多电极袖套 (MEC) 结合时间和空间信息来提高神经流量的分类。因此,本研究调查了使用 VSR 技术基于体内猪尺神经中传播的电诱发复合动作电位 (eCAP) 来表征纤维类型的可行性。研究应用了一系列电刺激参数(幅度为 50 μA-10 mA,脉冲持续时间为 100 μs、500 μs、1000 μs 和 5000 μs),分别刺激尺神经的皮支和运动支。使用 14 环 MEC 进行记录,并使用延迟求和算法将 eCAP 转换到速度域。结果显示,尺神经皮支有两种纤维群传播,平均速度分别为 55 m/s 和 21 m/s,而运动支只有一种主导纤维群,平均速度为 63 m/s。由于 VSR 能够简单地提供有关神经纤维选择性和传播方向的信息,因此可以将其应用于提高神经假体双向控制和生物电子医学应用的性能。