Global/Local mean field power (GMFP/LMFP) is often used to measure the global excitability in studies of non-invasive neuromodulation treatments (such as TMS). It can also been applied to analysis other types of ERPs. This document shows how GMFP/LMFP was computed on a given EEG data epoch.
The formula of how to calculate GMFP/LMFP is listed as below:
where
Please check on how it's applied and linked to clinic findings in our group's study here (more on the way): https://www.brainstimjrnl.com/article/S1935-861X(23)00803-3/fulltext
No further installation needed. Function files are directly runnable in Matlab and Python.
Provided function file 'gmfp.m' and 'lmfp.m' that calculates the global/local mean field power from given EEG epoch. Corresponding python function has also been provided.
- Feature 1: Two versions have been provided to run in both Matlab and Python.
- Feature 2: Beginner Friendly. Examples in both enviroment have been provided (see Matlab example and Python example for details).
This project is licensed under the MIT License. Refer to the LICENSE file for more information.
This constitutes a segment of our branch's efforts within the closed-loop neuromodulation project. For a more comprehensive background, I encourage you to review our series of publications.
simultaneous fMRI-EEG-TMS: https://www.sciencedirect.com/science/article/pii/S1935861X23017746
phase-locked closed-loop EEG-rTMS: https://www.sciencedirect.com/science/article/pii/S1935861X22000365
Clinic outcomes: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4334289
For any inquiries or questions, you can reach me at [xiaoxiao.sun@columbia.edu]. Connect with me on LinkedIn for more updates and projects.