PDF(Pubmed)
Abstract：
Here we presented an electrophysiological dataset collected from layer V of the primary motor cortex (M1) and the corresponding behavior dataset from normal and hemi-parkinson rats over 5 consecutive weeks. The electrophysiological dataset was constituted by the raw wideband signal, neuronal spikes, and local field potential (LFP) signal. The open-field test was done and recorded to evaluate the behavior variation of rats among the entire experimental cycle. We conducted technical validation of this dataset through sorting the spike data to form action potential waveforms and analyzing the spectral power of LFP data, then based on these findings a closed-loop DBS protocol was developed by the oscillation activity response of M1 LFP signal. Additionally, this protocol was applied to the hemi-parkinson rat for five consecutive days while simultaneously recording the electrophysiological data. This dataset is currently the only publicly available dataset that includes longitudinal closed-loop DBS recordings, which can be utilized to investigate variations of neuronal activity within the M1 following long-term closed-loop DBS, and explore additional reliable biomarkers.
摘要：
在这里，我们提供了从初级运动皮层（M1）的V层收集的电生理数据集，以及连续5周来自正常和半帕金森病大鼠的相应行为数据集。电生理数据集由原始宽带信号构成，神经元尖峰，和局部场电位(LFP)信号。进行了野外测试并记录，以评估整个实验周期中大鼠的行为变化。我们通过对尖峰数据进行排序以形成动作电位波形并分析LFP数据的频谱功率，对该数据集进行了技术验证。然后基于这些发现，通过M1LFP信号的振荡活动响应开发了闭环DBS协议。此外,本方案应用于半帕金森病大鼠连续5天,同时记录电生理数据.该数据集目前是唯一公开可用的数据集，包括纵向闭环DBS记录，可用于研究长期闭环DBS后M1内神经元活动的变化，并探索其他可靠的生物标志物。
