Fibre-selective recording from the peripheral nerves of frogs using a multi-electrode cuff
Fibre-selective recording from the peripheral nerves of frogs using a multi-electrode cuff
复制标题
使用多电极袖带对青蛙周围神经进行纤维选择性记录
DOI：
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发表时间：
2013
影响因子：
4
通讯作者：
John Taylor
中科院分区：
文献类型：
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作者：
M. Schuettler;N. Donaldson;V. Seetohul;John Taylor
Objective.我们调查的速度选择性记录（VSR）的方法，以确定纤维类型，有助于复合动作电位（CAP）传播沿着周围神经的能力。通过确定动作电位传播的方向（传入或传出）和速度来实时识别活动纤维类型，可能会使未来的神经假体更好地利用生物传感器信号，并为基础神经科学提供一种新的简单工具。Approach.纤维活动记录从爪蟾爪蟾蛙坐骨神经使用一个单一的多电极袖，记录整个神经活动与11等距环形电极。记录的信号被放大，以可变的延迟时间彼此延迟，相加并带通滤波。最后，测量所得振幅。主要结果。我们的实验表明，电诱发青蛙CAP占主导地位的两个纤维种群，传播速度分别为20和40米/秒左右。速度选择性，即系统区分个体群体的能力通过应用带通滤波而增加。该方法在真实的时间内从10 ms的CAP记录样本中提取了完整的速度谱。意义与20世纪70年代及随后推出的技术不同，VSR仅需要单个神经袖带，并且不需要求平均值来提供速度谱信息。这使得它潜在地适合于为未来的神经假体生成高选择性的实时控制信号。在我们的研究中，分析了电诱发的CAP，该方法是否能可靠地对生理神经交通进行分类还有待证明。
Objective. We investigate the ability of the method of velocity selective recording (VSR) to determine the fibre types that contribute to a compound action potential (CAP) propagating along a peripheral nerve. Real-time identification of the active fibre types by determining the direction of action potential propagation (afferent or efferent) and velocity might allow future neural prostheses to make better use of biological sensor signals and provide a new and simple tool for use in fundamental neuroscience. Approach. Fibre activity was recorded from explanted Xenopus Laevis frog sciatic nerve using a single multi-electrode cuff that records whole nerve activity with 11 equidistant ring-shaped electrodes. The recorded signals were amplified, delayed against each other with variable delay times, added and band-pass filtered. Finally, the resulting amplitudes were measured. Main Result. Our experiments showed that electrically evoked frog CAP was dominated by two fibre populations, propagating at around 20 and 40 m/s, respectively. The velocity selectivity, i.e. the ability of the system to discriminate between individual populations was increased by applying band-pass filtering. The method extracted an entire velocity spectrum from a 10 ms CAP recording sample in real time. Significance. Unlike the techniques introduced in the 1970s and subsequently, VSR requires only a single nerve cuff and does not require averaging to provide velocity spectral information. This makes it potentially suitable for the generation of highly-selective real-time control-signals for future neural prostheses. In our study, electrically evoked CAPs were analysed and it remains to be proven whether the method can reliably classify physiological nerve traffic.