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README.md

This repository contains the electrophysiological data and custom code related to the article “A longitudinal electrophysiological and behavior dataset for PD rat in response to deep brain stimulation”. Here we provided the 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. Following the content of this article, the dataset was built according to the rat ID.

Freely moving recordings:

The data acquisition process was performed in a quiet test room, which was under a 12 h/12 h light-dark cycle. Rats were placed in a tailored Faraday cage with free access to food and water. The OmniPlex Neural Recording Data Acquisition System (Plexon Inc., Dallas, Texas, USA) was used to record the wideband electrophysiological data. Then, this system could filter the neural signals of spike and LFP from the wideband signal, which were selected using band-pass filter set at 300-3000 Hz and 0.5-200 Hz, respectively, and further digitized at a sampling rate of 40 kHz and 1 kHz. The wideband signal, spike, and LFP data files were all saved for further offline analysis.

Electrode channels: In this study, the stimulation and recording electrodes were all microwire array electrodes. The recording microwire array was arranged in 4×4 array (nickel-titanium, 25 μm diameter, 300 μm interelectrode spacing, 8 mm length, Suzhou Kedou Brain Computer Technology Co., Ltd), and two silver wires with 125 μm diameter were reserved at the electrode connector as ground wires. The stimulation microwire array was arranged in 2×2 array (tungsten, 50 μm diameter, 250 μm interelectrode spacing, 10 mm length, Beijing Plexon Co., Ltd). Nissl staining was performed to determine the electrode position, only electrophysiological data of rats with correctly electrode implantation was used in subsequent analysis.

Behavioral assessment:

The open-field test was done to evaluate the behavior variation of rats among the entire experimental cycle, We provided behavioral testing videos of the experimental animals included in this dataset.The behavioral test results of 36 rats before operation were used as the baseline data, and randomly selected 10 rats as the sham group and 26 rats as the PD group. One week after 6-OHDA was lesioned, the hemi-PD rat model was further randomly divided as the PD group (n=10) and PD-DBS group (n=13).In the follow-up experiment, the behavioral test was done only for the sham group, PD group and PD-DBS group.Finally,the location of implanted electrodes was confirmed by Nissl staining, only rats with recording microwire array electrode residing within the layer V of M1 and stimulation electrode within the STN were selected for further electrophysiological and behavioral datas analysis, where four rats were excluded due to error location. The baseline folder contain data from all 28 rats, the sham folder contain data from 8 rats,the PD folder contain data from 9 rats, and PD-DBS folder contain data from 11 rats.

Data Folders:

We store all the behavior test videos in folder ‘behavior test’, which contains three different groups(PD、PD-DBS、Sham)and the baseline data of 28 rats movements before the start of the experiment.

The Sham folder contains behavioral data of 8 normal rats for 5 consecutive weeks. Each folder contains data of 8 videos, which is further divided into 5 folders based on time. The PD folder and PD-DBS folder are also similar to the Sham folder.

We store all the electrophysiology data in folder ‘electrode dataset for hemi-parkinsonian rat‘,which contains three different groups(PD、PD-DBS、Sham).The Sham folder contains electrophysiological of 8 normal rats for 5 consecutive weeks. Each sub folder contains data of 1 rat, which is further divided into 5 folders based on time. Each folder contains electrophysiological data from different activity states recorded each week, including walk, sleep, and wake.The PD folder is also similar to the Sham folder.We divided the data collected under different activity states into episode 1, episode 2, and episode 3 based on the different collection times in the morning, afternoon, and evening.For example,in the week-02 folder of the Sham group,‘sub-01-wake-episode1’ represents the electrophysiological data of the first rat during wake at 2 week in the morning.Each nex format file includes the raw wideband signal, neuronal spikes, and local field potential (LFP) signal.

Unlike the two groups mentioned above, the PD-DBS folder not only includes electrophysiological data for four consecutive weeks, but also a stimulation file that contains electrophysiological data for closed-loop DBS stimulation for five consecutive days from day 29 to day 33. These data are also distinguished according to different states.For example,in the Day29 folder of the PD-DBS file,‘sub-05-wake-episode1’ represents the electrophysiological data of the 5th rat in PD-DBS group undergoing closed-loop electrical stimulation during awake state on day 29 in the morning.

Custom code:

We provided Python code for obtaining clean LFP signal from the wideband signal, as well as their power spectral analysis to ease the reproducibility of these demonstrations.

For every question and/or further data request, please don't hesitate in contacting me (925029326@qq.com)

datacite.yml
Title A longitudinal electrophysiological and behavior dataset for PD rat in response to deep brain stimulation
Authors Wang,Xiaofeng;Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250014, China;ORCID:0009-0002-4807-4060
Chen,Min;Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271016, China;ORCID:0000-0003-1702-1820
Shen,Yin;Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
Li,Yuming;Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250014, China
Li,Shengjie;Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250014, China
Xu,Yuanhao;Centre for Biosystems, Neuroscience, and Nanotechnology, City University of Hong Kong, Hong Kong 999077, China;ORCID:0000-0001-5529-5078
Liu,Yu;Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
Su,Fei;Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271016, China;ORCID:0000-0002-2585-6564
Xin,Tao;Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250014, China;ORCID:0000-0002-8797-3002
Description 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 to evaluate the behavior variation of rats, and the corresponding data was recorded 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.
License Creative Commons CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/)
References Xiaofeng Wang, Min Chen, Yin Shen, Yuming Li, Shengjie Li, Yuanhao Xu, Yu Liu, Fei Su, Tao Xin:A longitudinal electrophysiological and behavior dataset for PD rat in response to deep brain stimulation.Scientific Data, submitted. [doi:tba] (IsSupplementTo)
Funding Taishan Scholar Project special funding; tstp20230659
Shandong Provincial Natural Science Foundation; ZR2020QH119
Cultivation Fund of National Natural Science Foundation of China in Shandong Provincial Qianfoshan Hospital; QYPY2021NSFC0805
Innovation Project of Clinical Science and Technology of Jinan City; 202134047
Keywords Parkinson’s disease
electrophysiology
closed-loop DBS
rat
Resource Type Dataset