ArticleScientific data2024
A longitudinal electrophysiological and behavior dataset for PD rat in response to deep brain stimulation.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Cell-based regenerative interventions in Parkinson's disease: Overcoming pharmacological limitations.Acta pharmaceutica Sinica. B · 2026Review
- Cognitive trajectories in Parkinson's disease patients, a review on the impact of subthalamic deep brain stimulation (STN-DBS) and emerging adaptive strategies.Translational psychiatry · 2026Review
- A wearable deep brain stimulation system for behavioral studies in rodents.Frontiers in neuroscience · 2025Article
- A longitudinal electrophysiological and behavior dataset for PD rat in response to deep brain stimulation.Scientific data · 2024Article
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9 authors.
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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.
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