Exploring the extent of source imaging: Recent advances in noninvasive electromagnetic brain imaging
Year: 2021
Type: review
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.
Authors: Abbas Sohrabpour, Bin He
Institution: Carnegie Mellon University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,750
Awards: Electrophysiological source imaging guided transcranial focused ultrasound, G2221576032, G2365872918, Mind-body awareness training and brain-computer interface, Treating pain in sickle cell disease by means of focused ultrasound neuromodulation, G6224859938, G9000101006, G9000120466, G9000168722
OpenAlex ID: W3133861445