The Feasibility for Whole-Night Sleep Brain Network Research Using Synchronous EEG-fMRI
10.14401/KASMED.2018.25.2.82
- Author:
Joong Il KIM
1
;
Bumhee PARK
;
Tak YOUN
;
Hae Jeong PARK
Author Information
1. Future Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Korea.
- Publication Type:Original Article
- Keywords:
Sleep;
EEG;
Resting state fMRI;
EEG-fMRI;
Brain network;
Functional connectivity
- MeSH:
Artifacts;
Brain;
Electroencephalography;
Magnetic Resonance Imaging;
Sleep Stages;
Sleep, REM;
Wakefulness
- From:Sleep Medicine and Psychophysiology
2018;25(2):82-91
- CountryRepublic of Korea
- Language:Korean
-
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.
