Noninvasive electromagnetic source imaging of spatiotemporally distributed epileptogenic brain sources

• Published in: Nature communications Vol. 11; no. 1; pp. 1946 - 15
• Main Authors: Sohrabpour, Abbas, Cai, Zhengxiang, Ye, Shuai, Brinkmann, Benjamin, Worrell, Gregory, He, Bin
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 23.04.2020; Nature Publishing Group; Nature Portfolio
• Subjects: 631/378/116; 639/766/25; 692/617/375/178; 9/26; Algorithms; Biomedical engineering; Brain; Brain - pathology; Brain - physiopathology; Brain - surgery; Brain mapping; Computer Simulation; Convulsions & seizures; EEG; Electroencephalography; Electroencephalography - methods; Electromagnetic measurement; Electromagnetic Phenomena; Epilepsies, Partial - pathology; Epilepsies, Partial - physiopathology; Epilepsies, Partial - surgery; Epilepsy; Functional Neuroimaging - methods; Humanities and Social Sciences; Humans; Imaging techniques; Medical imaging; Metabolism; multidisciplinary; Networks; Neuroimaging; Reproducibility of Results; Science; Science (multidisciplinary); Seizures; Signal Processing, Computer-Assisted; Spatial analysis

Brain networks are spatiotemporal phenomena that dynamically vary over time. Functional imaging approaches strive to noninvasively estimate these underlying processes. Here, we propose a novel source imaging approach that uses high-density EEG recordings to map brain networks. This approach objectiv...