electroMICA is developed by MICA-lab at McGill University for use at the Neuro, McConnell Brain Imaging Center (BIC).

The main goal of this pipeline is to provide a robust framework to integrate electrophysiological data and information derived from a varied modality of MR images.
electroMICA relies on the output of micapipe, developed in our laboratory. The basic cutting edge processing of our pipelines aims at the scalp EEG, and intracerebral EEG, or stereo EEG.

Documentation

You can find the documentation in electroMICA.readthedocs.io

Example

Download an set of example files to test the pipeline from from the release.

Reference

Not available yet.

Workflow

Intracerebral EEG: electroMICA_iEEG

Scalp EEG: electroMICA_scalp

Download and unzip the example in the release, modify one line in included_example.py, and run the example.

Advantages

• Appropriate modelling of electrode and geneartor for intracranial EEG.
• Subject speific head model generation ofr scalp EEG.
• Surface based analysis including hippocampus.
• Ready to use outputs.
• Easy to use.
• Standardized format (BIDS).

Dependencies

• micapipe must be run before electroMICA.
• electroMICA accepts hippunfold output surfaces.

python mandatory packages conda

Package	Version
nibabel	4.0.2
numpy	1.21.5
pandas	1.4.4
scipy	1.7.3
antspyx	0.3.0