NET_ICU Pipeline

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

• **Functional connectivity (wPLI) ** : Time-averaged functional connectivity for the different experimental phases

• **Functional connectivity (dPLI) ** : Time-averaged functional connectivity for the different experimental phases

• **Hub ** : Time-averaged functional connectivity for the different experimental phases

• ** Spectrogram : Average frequency of all electrodes

• ** Topographic map : Topographic map of frequency power from 4 to 13 Hz

SETUP for Python version

1. clone this Repo git clonse https://github.com/BIAPT/TACS_Baseline_Analysis.git

2. clone other required repos in utils folder git clone https://github.com/BIAPT/Python_Connectivity.git utils/Python_Connectivity

3. install requirements.txt pip install -r requirements.txt This step is extremely important, as this code only works fine with MNE=1.1.1

4. Analysis runs independently with the NET_ICU_Python_Notebook.npy

• Saves results and figures automatically

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