A systematic review of EEG source localization techniques and their applications on diagnosis of brain abnormalities
Shiva Asadzadeh, Tohid Yousefi Rezaii, Soosan Beheshti, Azra Delpak,, and Saeed Meshgini

TL;DR
This paper systematically reviews EEG source localization techniques, their applications in diagnosing brain abnormalities, and evaluates different methods and their effectiveness in clinical settings.
Contribution
It categorizes EEG source localization research, analyzes various methods, and highlights gaps in studying drug effects on brain activity.
Findings
Minimum norm solution is promising for sources at different depths.
EEG source localization effectively detects epileptic seizures.
Limited research on psychiatric drug effects on brain sources.
Abstract
In recent years, multiple noninvasive imaging modalities have been used to develop a better understanding of the human brain functionality, including positron emission tomography, single-photon emission computed tomography, and functional magnetic resonance imaging, all of which provide brain images with millimeter spatial resolutions. Despite good spatial resolution, time resolution of these methods are poor and values are about seconds. Electroencephalography (EEG) is a popular non-invasive electrophysiological technique of relatively very high time resolution which is used to measure electric potential of brain neural activity. Scalp EEG recordings can be used to perform the inverse problem in order to specify the location of the dominant sources of the brain activity. In this paper, EEG source localization research is clustered as follows: solving the inverse problem by statistical…
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