mcvinding / PD_beta_bursts

Characterization of beta bursts in Parkinson's patients and healthy controls

Home Page:https://doi.org/10.1093/braincomms/fcaa052

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Reduction of spontaneous cortical beta bursts in Parkinson's disease is linked to symptom severity

This repository contains scripts for analyzing data from the study below and producing the figures presented in the paper:

Vinding, M. C., Tsitsi, P., Waldthaler, J., Oostenveld, R., Ingvar, M., Svenningsson, P., & Lundqvist, D. (2020). Reduction of spontaneous cortical beta bursts in Parkinson’s disease is linked to symptom severity. Brain Communications. https://doi.org/10.1093/braincomms/fcaa052

Summary

In the paper we present comparison of spontaneous transient beta bursts between patients with Parkinson's disease and matched healthy controls. We recorded three minutes resting-state magnetoencephalography (MEG) from 20 Parkinson's patients and 20 healthy controls. From the MEG data we extracted the beta band time-course and characterised spontaneous beta bursts. We then compared features of the beta burst between patients and controls and withing patients ON/OFF medication.

For more information, reference, and citation please see the paper listed above.

Content

The folder /scripts contains MATLAB/Python scripts used in the data processing from raw data to defining beta bursts.

The folder /scripts/functions contains MATLAB function used in the processing of data to define beta bursts and define ROI.

The folder /scripts/statistics contains scripts (R and MATLAB) used for the statistical analyses presented in the paper.

The folder /scripts/plotting contains scripts (R and MATLAB) used to generate the figures presented in the paper.

About

Characterization of beta bursts in Parkinson's patients and healthy controls

https://doi.org/10.1093/braincomms/fcaa052

License:BSD 2-Clause "Simplified" License


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Language:R 58.1%Language:MATLAB 23.4%Language:Python 18.5%