Sleep Med Psychophysiol.
2018 Dec;25(2):82-91. 10.14401/KASMED.2018.25.2.82.
The Feasibility for Whole-Night Sleep Brain Network Research Using Synchronous EEG-fMRI
- Affiliations
-
- 1Future Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Korea.
- 2BK21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea. parkhj@yonsei.ac.kr
- 3Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
- 4Department of Psychiatry, Dongguk University Ilsan Hospital, Ilsan, Korea.
- 5Department of Nuclear Medicine, Yonsei University College of Medicine, Seoul, Korea.
- 6Department of Psychiatry, Yonsei University College of Medicine, Seoul, Korea.
- KMID: 2434610
- DOI: http://doi.org/10.14401/KASMED.2018.25.2.82
Abstract
OBJECTIVES
Synchronous electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) has been used to explore sleep stage dependent functional brain networks. Despite a growing number of sleep studies using EEG-fMRI, few studies have conducted network analysis on whole night sleep due to difficulty in data acquisition, artifacts, and sleep management within the MRI scanner.
METHODS
In order to perform network analysis for whole night sleep, we proposed experimental procedures and data processing techniques for EEG-fMRI. We acquired 6-7 hours of EEG-fMRI data per participant and conducted signal processing to reduce artifacts in both EEG and fMRI. We then generated a functional brain atlas with 68 brain regions using independent component analysis of sleep fMRI data. Using this functional atlas, we constructed sleep level dependent functional brain networks.
RESULTS
When we evaluated functional connectivity distribution, sleep showed significantly reduced functional connectivity for the whole brain compared to that during wakefulness. REM sleep showed statistically different connectivity patterns compared to non-REM sleep in sleep-related subcortical brain circuits.
CONCLUSION
This study suggests the feasibility of exploring functional brain networks using sleep EEG-fMRI for whole night sleep via appropriate experimental procedures and signal processing techniques for fMRI and EEG.
