A systematic review of EEG source localization techniques and their applications on diagnosis of brain abnormalities

• Published in: Journal of neuroscience methods Vol. 339; p. 108740
• Main Authors: Asadzadeh, Shiva, Yousefi Rezaii, Tohid, Beheshti, Soosan, Delpak, Azra, Meshgini, Saeed
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.06.2020
• Subjects: Brain - diagnostic imaging; brain abnormalities; Brain Diseases; Brain Mapping; EEG signals; Electroencephalography; head model; Humans; Magnetic Resonance Imaging; source localization; the inverse problem; time resolution; source localization; EEG signals; time resolution; head model; the inverse problem; brain abnormalities
• ISSN: 0165-0270; 1872-678X; 1872-678X
• DOI: 10.1016/j.jneumeth.2020.108740

[Display omitted] •It is revealed that more than 42 different statistical method are proposed to localize brain activity sources using EEG signals.•Sparse Bayesian learning algorithm provides more accurate localization results using an estimate of the sensor noise covariance and brain atlases.•Reducing the location error of the electrodes and enough sampling of the potential surface field can improve the localization approaches.•It is also clear that different psychiatric disorders are more likely to be diagnosed and cured through brain source localization methods. 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. Scalp electroencephalography 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 method, diagnosis of brain abnormalities using common EEG source localization methods, investigating the effect of the head model on EEG source imaging results have been studied. In this review we present enough evidence that provides motivation for consideration in the future research using EEG source localization methods.