EEG topography and tomography (sLORETA) in analysis of abnormal brain region for mild depression

Xiaowei Li, Tong Cao, Bin Hu*, Shuting Sun, Jianxiu Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationBrain Informatics and Health - International Conference, BIH 2016, Proceedings
EditorsHesham Ali, Yong Shi, Giorgio A. Ascoli, Deepak Khazanchi, Michael Hawrylycz
PublisherSpringer Verlag
Pages304-311
Number of pages8
ISBN (Print)9783319471020
DOIs
Publication statusPublished - 2016
Externally publishedYes
EventInternational Conference on Brain Informatics and Health, BIH 2016 - Omaha, United States
Duration: 13 Oct 201616 Oct 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9919 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Brain Informatics and Health, BIH 2016
Country/TerritoryUnited States
CityOmaha
Period13/10/1616/10/16

Keywords

  • EEG
  • EEG topography
  • Mild depression
  • SLORETA

Fingerprint

Dive into the research topics of 'EEG topography and tomography (sLORETA) in analysis of abnormal brain region for mild depression'. Together they form a unique fingerprint.

Cite this