Exploring the extent of source imaging: Recent advances in noninvasive electromagnetic brain imaging

Electrophysiological source imaging (ESI) has been successfully employed in many brain imaging applications during the last 20 years. ESI estimates of underlying brain networks provide millisecond resolution of dynamic brain processes; yet, it remains to be a challenge to further improve the spatial...

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Bibliographic Details
Published in:Current opinion in biomedical engineering 2021-06, Vol.18, p.100277, Article 100277
Main Authors: Sohrabpour, Abbas, He, Bin
Format: Article
Language:English
Subjects:
Bayesian framework
EEG
Electrophysiological source imaging
Extent imaging
MEG
Sparsity
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Summary:Electrophysiological source imaging (ESI) has been successfully employed in many brain imaging applications during the last 20 years. ESI estimates of underlying brain networks provide millisecond resolution of dynamic brain processes; yet, it remains to be a challenge to further improve the spatial resolution of ESI modality, in particular on its capability of imaging the extent of underlying brain sources. In this review, we discuss the recent developments in signal processing and machine learning that have made it possible to image the extent, i.e. size, of underlying brain sources noninvasively, using scalp electromagnetic measurements from electroencephalogram (EEG) and magnetoencephalogram (MEG) recordings.
ISSN:2468-4511
2468-4511
DOI:10.1016/j.cobme.2021.100277