Published May 5, 2024 | Version 1.0.0
Dataset Open

Data to accompany the outlier-waveform-detection Github repository (internal globus pallidus, GPi)

  • 1. University of Pittsburgh

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  • 1. University of Pittsburgh

Description

This repository contains data based on neuronal recordings from two monkeys (G and I, in the pre- and post-MPTP states) that serve as input to the code provided at https://github.com/turner-lab-pitt/outlier-waveform-detection. Text files located within that Github repository provide detailed instructions on how these data may be used with that code.  As described in those text files, extra data are provided for Monkey G, in the pre-MPTP state.

The data-description.txt file provides detailed information regarding the contents of each zipped tar archive. Briefly, the most important components of the files are the "snips" (individual spike waveforms) from the two monkeys and MPTP states, as extracted for each of a series of single sorted units from the internal globus pallidus (GPi).  The additional G-Pre data provides examples of the high-pass filtered voltage signals from which these snips were extracted.  All data are stored in the Matlab .mat format.

All zipped files can be decompressed with 7-zip: https://www.7-zip.org/

These data and the associated Github code were used for analyses reported in an in-preparation manuscript (Kase et al., "Movement-related activity in the internal globus pallidus of the parkinsonian macaque"), and also with a preprint that is currently under review:

Detecting rhythmic spiking through the power spectra of point process model residuals
Karin M. Cox, Daisuke Kase, Taieb Znati, Robert S. Turner
bioRxiv 2023.09.08.556120; doi: https://doi.org/10.1101/2023.09.08.556120
 

This research was funded in part by Aligning Science Across Parkinson's [ASAP-020519] through the Michael J. Fox Foundation for Parkinson's Research (MJFF). For the purpose of open access, the authors have applied a Creative Commons Attribution 4.0 International (CC BY) public copyright license to this dataset. 

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data-description.txt

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