Exploring the extent of source imaging: Recent advances in noninvasive electromagnetic brain imaging. (June 2021)

• Record Type: Journal Article
• Authors: Sohrabpour, Abbas; He, Bin
• Is Part Of: Current opinion in biomedical engineering. Volume 18(2021)
• Publication Date: 2021-06
• Subjects: Extent imaging -- Electrophysiological source imaging -- EEG -- MEG -- Sparsity -- Bayesian framework; Biomedical engineering -- Periodicals; 610.28
• DOI: 10.1016/j.cobme.2021.100277
• Languages: English
• ISSNs: 2468-4511

Abstract

Abstract: 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.