@inproceedings{304ca227f926432ca30d953d5e355002,
title = "EEG topography and tomography (sLORETA) in analysis of abnormal brain region for mild depression",
abstract = "Mild depression disorder affects a large number of people, and if not correctly treated, it could evolve into major depression disorder. So far, lots of studies have suggested that several abnormal brain regions are linked to major depression disorder, including prefrontal cortex (PFC), anterior cingulate cortex (ACC) etc. However mild depression disorder gained less attention. This study therefore examined whether mild depression exists dsyregulation in these brain regions. 20 subjects participated in our experiment, and affective facial expressions pictures were used as stimuli when recording EEG signals. Brain activity of theta and alpha bands were examined using EEG topography and standardized low-resolution electromagnetic tomography (sLORETA). Results suggested that mild depressed subjects exhibited higher activity in motor cortex (Brodmann area: 4, 6) and lower activity in visual cortex (Brodmann area: 18, 19) and prefrontal cortex (Brodmann area: 11, 47) compared to normal controls. These finding indicated that mild depressed subjects paid much more attention to negative facial expressions. Future studies should be focused on the role of brain regions played in mild depression in more detail.",
keywords = "EEG, EEG topography, Mild depression, SLORETA",
author = "Xiaowei Li and Tong Cao and Bin Hu and Shuting Sun and Jianxiu Li",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; International Conference on Brain Informatics and Health, BIH 2016 ; Conference date: 13-10-2016 Through 16-10-2016",
year = "2016",
doi = "10.1007/978-3-319-47103-7_30",
language = "English",
isbn = "9783319471020",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "304--311",
editor = "Hesham Ali and Yong Shi and Ascoli, {Giorgio A.} and Deepak Khazanchi and Michael Hawrylycz",
booktitle = "Brain Informatics and Health - International Conference, BIH 2016, Proceedings",
address = "Germany",
}