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The relationship between EEG and fMRI connectomes is reproducible across simultaneous EEG-fMRI studies from 1.5T to 7T
- Source :
- NeuroImage, Vol. 231 (2021) P. 117864, NeuroImage, Vol 231, Iss, Pp 117864-(2021)
- Publication Year :
- 2020
-
Abstract
- Both electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are non-invasive methods that show complementary aspects of human brain activity. Despite measuring different proxies of brain activity, both the measured blood-oxygenation (fMRI) and neurophysiological recordings (EEG) are indirectly coupled. The electrophysiological and BOLD signal can map the underlying functional connectivity structure at the whole brain scale at different timescales. Previous work demonstrated a moderate but significant correlation between resting-state functional connectivity of both modalities, however there is a wide range of technical setups to measure simultaneous EEG-fMRI and the reliability of those measures between different setups remains unknown. This is true notably with respect to different magnetic field strengths (low and high field) and different spatial sampling of EEG (medium to high-density electrode coverage).Here, we investigated the reproducibility of the bimodal EEG-fMRI functional connectome in the most comprehensive resting-state simultaneous EEG-fMRI dataset compiled to date including a total of 72 subjects from four different imaging centers. Data was acquired from 1.5T, 3T and 7T scanners with simultaneously recorded EEG using 64 or 256 electrodes. We demonstrate that the whole-brain monomodal connectivity reproducibly correlates across different datasets and that a moderate crossmodal correlation between EEG and fMRI connectivity of r≈0.3 can be reproducibly extracted in low- and high-field scanners. The crossmodal correlation was strongest in the EEG-β frequency band but exists across all frequency bands. Both homotopic and within intrinsic connectivity network (ICN) connections contributed the most to the crossmodal relationship.This study confirms, using a considerably diverse range of recording setups, that simultaneous EEG-fMRI offers a consistent estimate of multimodal functional connectomes in healthy subjects that are dominantly linked through a functional core of ICNs across spanning across the different timescales measured by EEG and fMRI. This opens new avenues for estimating the dynamics of brain function and provides a better understanding of interactions between EEG and fMRI measures. This observed level of reproducibility also defines a baseline for the study of alterations of this coupling in pathological conditions and their role as potential clinical markers.
- Subjects :
- Adult
Male
7T
Adolescent
Databases, Factual
Computer science
Cognitive Neuroscience
Neurosciences. Biological psychiatry. Neuropsychiatry
Electroencephalography
EEG-fMRI
ddc:616.0757
050105 experimental psychology
High-field MRI
03 medical and health sciences
Young Adult
0302 clinical medicine
medicine
Connectome
Humans
0501 psychology and cognitive sciences
CIBM-AIT
Resting state fMRI
Crossmodal
medicine.diagnostic_test
Functional connectivity
05 social sciences
Brain
Reproducibility of Results
Human brain
Neurophysiology
Middle Aged
Magnetic Resonance Imaging
ddc:616.8
ddc:128.37
Electrophysiology
medicine.anatomical_structure
Neurology
Female
Nerve Net
Functional magnetic resonance imaging
Neuroscience
030217 neurology & neurosurgery
RC321-571
Subjects
Details
- ISSN :
- 10959572 and 10538119
- Volume :
- 231
- Database :
- OpenAIRE
- Journal :
- NeuroImage
- Accession number :
- edsair.doi.dedup.....b7c4b09ffe6b82962ea17c59ac9bdcb4