Python below
This repository is for the EEG-based graph theory analysis of the NET_ICU study. The code found here is a work-in progress and not a final implementation.
Requirement to use the pipeline:
- MATLAB version: R2020a or more recent version
- Neuroalgo MATLAB functions
- Signal Processing Toolbox
- Symbolic Math Toolbox
- Statistics and Machine Learning Toolbox
Current features are already available
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**Functional connectivity (wPLI) ** : Time-averaged functional connectivity for the different experimental phases
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**Functional connectivity (dPLI) ** : Time-averaged functional connectivity for the different experimental phases
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**Hub ** : Time-averaged functional connectivity for the different experimental phases
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** Spectrogram : Average frequency of all electrodes
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** Topographic map : Topographic map of frequency power from 4 to 13 Hz
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clone this Repo
git clonse https://github.com/BIAPT/TACS_Baseline_Analysis.git
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clone other required repos in utils folder
git clone https://github.com/BIAPT/Python_Connectivity.git utils/Python_Connectivity
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install requirements.txt
pip install -r requirements.txt
This step is extremely important, as this code only works fine with MNE=1.1.1 -
Analysis runs independently with the
NET_ICU_Python_Notebook.npy
- Saves results and figures automatically
....