Noninvasive electromagnetic source imaging of spatiotemporally distributed epileptogenic brain sources

Abbas Sohrabpour, Zhengxiang Cai, Shuai Ye, Benjamin Brinkmann, Gregory Worrell and Bin He ()
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Abbas Sohrabpour: Carnegie Mellon University
Zhengxiang Cai: Carnegie Mellon University
Shuai Ye: Carnegie Mellon University
Benjamin Brinkmann: Mayo Clinic
Gregory Worrell: Mayo Clinic
Bin He: Carnegie Mellon University

Nature Communications, 2020, vol. 11, issue 1, 1-15

Abstract: Abstract 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 objectively addresses the long-standing limitations of conventional source imaging techniques, namely, difficulty in objectively estimating the spatial extent, as well as the temporal evolution of underlying brain sources. We validate our approach by directly comparing source imaging results with the intracranial EEG (iEEG) findings and surgical resection outcomes in a cohort of 36 patients with focal epilepsy. To this end, we analyzed a total of 1,027 spikes and 86 seizures. We demonstrate the capability of our approach in imaging both the location and spatial extent of brain networks from noninvasive electrophysiological measurements, specifically for ictal and interictal brain networks. Our approach is a powerful tool for noninvasively investigating large-scale dynamic brain networks.

Date: 2020
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DOI: 10.1038/s41467-020-15781-0

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