Analysis code used to create figures in Cole et al., 2017, J Neuro
Jupyter Notebook Python
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Control_Comodulogram PAC.ipynb
Control_Spline.ipynb
Figure1.ipynb
Figure2.ipynb
Figure3.ipynb
Figure4.ipynb
Figure5.ipynb
Figure6.ipynb
README.md
data.mat
pac.py
plt.py
shape.py
util.py

README.md

Cole_2017

Analysis code ran to create the figures in Cole et al., 2017, J Neuro, entitled "Nonsinusoidal Beta Oscillations Reflect Cortical Pathophysiology in Parkinson's Disease."

Notebooks

This repo contains one notebook per figure, showing the computation for each panel.

Libraries

util.py - functions for loading data, running analysis across all subjects, and other miscellaneous tools

shape.py - functions for quantifying the waveform shape of the oscillations. See note below.

pac.py - algorithms for estimating phase-amplitude coupling

plt.py - functions for plotting results

Quantifying oscillation shape

For future studies characterizing the waveform shape of oscillations, see the actively maintained shape module in neurodsp.