We present a novel solution to the problem of localizing magnetoencephalography (MEG) and electroencephalography (EEG) brain signals. The solution is sequential and iterative, and is based on minimizing the least-squares criterion by the Alternating Projection algorithm. Results from simulated and experimental MEG data from a human subject demonstrated robust performance, with consistently superior localization accuracy than scanning methods belonging to the beamformer and multiple-signal classification (MUSIC) families. Importantly, the proposed solution is more robust to forward model errors resulting from head rotations and translations, with a significant advantage in highly correlated sources.
@article{arxiv.2202.01120,
title = {Brain Source Localization by Alternating Projection},
author = {Amir Adler and Mati Wax and Dimitrios Pantazis},
journal= {arXiv preprint arXiv:2202.01120},
year = {2022}
}
Comments
Published in the IEEE International Symposium on Biomedical Imaging (ISBI) 2022