An EEG-based real-time cortical functional connectivity imaging system

Han Jeong Hwang, Kyung Hwan Kim, Young Jin Jung, Do Won Kim, Yong Ho Lee, Chang Hwan Im

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

In the present study, we introduce an EEGbased, 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.

Original languageEnglish
Pages (from-to)985-995
Number of pages11
JournalMedical and Biological Engineering and Computing
Volume49
Issue number9
DOIs
Publication statusPublished - 2011 Sep

Bibliographical note

Funding Information:
Acknowledgments This work was supported in part by the KRISS-WCL project (Development of Measurement Technology for Cognitive Process) and in part by the Original Technology Research Program for Brain Science through the National Research Foundation of Korea (NRF) grant funded by the Ministry of Education, Science and Technology (No. 2010-0018840)

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Computer Science Applications

Fingerprint Dive into the research topics of 'An EEG-based real-time cortical functional connectivity imaging system'. Together they form a unique fingerprint.

Cite this