Cortical parcellation optimized for magnetoencephalography with a clustering technique

Abstract A typical approach to estimate connectivity from magnetoencephalographic (MEG) data consists of 1) computing a cortically-constrained, distributed source estimate, 2) dividing the cortex into parcels according to an anatomical atlas, 3) combining the source time courses within each parcel,...

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Bibliographic Details
Main Authors: Sara Sommariva, Narayan Puthanmadam Subramaniyam, Lauri Parkkonen
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-90166-1