Haihong Zhang, Huijuan Yang, C. Wang, Dajiang he, Jimmy Lee, Tan Bhing Leet, Juan Zhou, Cuntai Guan
{"title":"A feasibility study of detecting brain signal in EEG during emotional self-regulation","authors":"Haihong Zhang, Huijuan Yang, C. Wang, Dajiang he, Jimmy Lee, Tan Bhing Leet, Juan Zhou, Cuntai Guan","doi":"10.1109/ICOT.2017.8336118","DOIUrl":null,"url":null,"abstract":"Major Depressive Disorder (MDD) is a potentially disabling mental condition with multi-factorial aetiology. To relieve the MDD condition, latest functional neural imaging studies using fMRI have shown initial positive outcomes from feedback-based up-regulation of neural activities in the particular brain region of amygdala. Towards validating a more practical approach using EEG, this work aimed to examine the feasibility of detecting particular brain signals in EEG when a user was performing a specific task for emotional up-regulating. In this preliminary study, we designed a test protocol and recruited healthy subjects to perform a sequence of alternating mental tasks, with eyes-closed to avoid ocular artifacts. Self-report of affective state confirmed the effectiveness of the protocol for regulating emotional states, while EEG data were analyzed to explore significant signals in relation to the affective tasks.","PeriodicalId":297245,"journal":{"name":"2017 International Conference on Orange Technologies (ICOT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Orange Technologies (ICOT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOT.2017.8336118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Major Depressive Disorder (MDD) is a potentially disabling mental condition with multi-factorial aetiology. To relieve the MDD condition, latest functional neural imaging studies using fMRI have shown initial positive outcomes from feedback-based up-regulation of neural activities in the particular brain region of amygdala. Towards validating a more practical approach using EEG, this work aimed to examine the feasibility of detecting particular brain signals in EEG when a user was performing a specific task for emotional up-regulating. In this preliminary study, we designed a test protocol and recruited healthy subjects to perform a sequence of alternating mental tasks, with eyes-closed to avoid ocular artifacts. Self-report of affective state confirmed the effectiveness of the protocol for regulating emotional states, while EEG data were analyzed to explore significant signals in relation to the affective tasks.