Exploring the extent of source imaging: Recent advances in noninvasive electromagnetic brain imaging
| Autor: | Abbas Sohrabpour, Bin He |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
0303 health sciences
Modality (human–computer interaction) medicine.diagnostic_test Computer science Biomedical Engineering Medicine (miscellaneous) Bioengineering 02 engineering and technology Electroencephalography 021001 nanoscience & nanotechnology Biomaterials 03 medical and health sciences Neuroimaging medicine Source imaging 0210 nano-technology Neuroscience 030304 developmental biology |
| Zdroj: | Current opinion in biomedical engineering. 18 |
| ISSN: | 2468-4511 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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