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Multivariate Linear Regression For Ictal Traveling Wave Estimation

version 1.0.0.0 (7.75 KB) by Jyun-you Liou
Test if epileptiform discharges are organized as traveling waves and infer their velocities

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Updated 30 Nov 2016

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Here I provided several regression methods to estimate traveling wave velocity in high resolution EEG data. You can statistically test the existence of traveling waves by looking at spatiotemporal distribution of multiunit spikes or local field potential and then estimate their velocities. Point-process, envelope (time series), and cross-correlation methods are all provided with robust option (least absolute deviation method). No statistical toolbox is required for these functions.

Files:
- SpatioLinearRegression.m
For point process or envelope methods.

- SpatioLinearRegressionXcorr.m
For cross-correlation method.

The detailed description and analysis results are currently under review in Journal of Neural Engineering. I will update the information about the paper if it is accepted.

Cite As

Jyun-you Liou (2020). Multivariate Linear Regression For Ictal Traveling Wave Estimation (https://www.mathworks.com/matlabcentral/fileexchange/60474-multivariate-linear-regression-for-ictal-traveling-wave-estimation), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (2)

This is great code!

MATLAB Release Compatibility
Created with R2016b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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