An EEG-based real-time cortical functional connectivity imaging system.
In the present study, we introduce an EEG-based, real-time, cortical functional connectivity imaging system capable of monitoring and tracing dynamic changes in cortical functional connectivity between different regions of interest (ROIs) on the brain cortical surface. The proposed system is based o...
| Published in: | Medical & Biological Engineering & Computing Vol. 49; no. 9; pp. 985 - 996 |
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| Main Authors: | , , , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Sep2011
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104672789&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104672789 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Sep2011 vid: 49 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104672789 NLM21701853 2011248238 10.1007/s11517-011-0791-6 NLM21701853 104672789 ppf: 985 ppct: 11 formats: fmt: @attributes: type: P tig: atl: An EEG-based real-time cortical functional connectivity imaging system. aug: au: Hwang HJ Kim KH Jung YJ Kim DW Lee YH Im CH Hwang, Han-Jeong Kim, Kyung-Hwan Jung, Young-Jin Kim, Do-Won Lee, Yong-Ho Im, Chang-Hwan affil: Department of Biomedical Engineering, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul 133-791, South Korea sug: subj: Cerebral Cortex Physiology Electroencephalography Methods Neural Pathways Physiology Adult Brain Mapping Methods Pilot Studies Male Signal Processing, Computer Assisted Young Adult Adult: 19-44 years Male ab: In the present study, we introduce an EEG-based, real-time, cortical functional connectivity imaging system capable of monitoring and tracing dynamic changes in cortical functional connectivity between different regions of interest (ROIs) on the brain cortical surface. The proposed system is based on an EEG-based dynamic neuroimaging system, which is capable of monitoring spatiotemporal changes of cortical rhythmic activity at a specific frequency band by conducting real-time cortical source imaging. To verify the implemented system, we performed three test experiments in which we monitored temporal changes in cortical functional connectivity patterns in various frequency bands during structural face processing, finger movements, and working memory task. We also traced the changes in the number of connections between all possible pairs of ROIs whose correlations exceeded a predetermined threshold. The quantitative analysis results were consistent with those of previous off-line studies, thereby demonstrating the possibility of imaging cortical functional connectivity in real-time. We expect our system to be applicable to various potential applications, including real-time diagnosis of psychiatric diseases and EEG neurofeedback. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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