megicparc: MEG leadfield-based cortical parcellations

Welcome to the documentation of megicparc, a Python3 library for dividing the cortical surface in parcels whose activity can be faithfully represented by a single dipolar source while minimizing inter-parcel crosstalk. The method is based on unsupervised clustering of the MEG lead fields, also accounting for distances between the cortically-constrained sources to promote spatially contiguous parcels.

Installation

To install the latest stable version of this package use pip:

pip install megicparc

If you do not have admin privileges on the computer, use the --user flag with pip.

To check if everything worked fine, you can run:

python -c 'import megicparc'

and it should not give any error messages.

Author of the code

Sara Sommariva <sommariva@dima.unige.it>,

Cite our work

If you use this code in your project, please consider citing our work:

lead-field-based cortical parcellation. Submitted