TY  - JOUR
AU  - Rajkumar, Ravichandran
AU  - Farrher, Ezequiel
AU  - Mauler, Jörg
AU  - Sripad, Praveen
AU  - Régio Brambilla, Cláudia
AU  - Rota Kops, Elena
AU  - Scheins, Jürgen
AU  - Dammers, Jürgen
AU  - Lerche, Christoph
AU  - Langen, Karl-Josef
AU  - Herzog, Hans
AU  - Biswal, Bharat
AU  - Shah, N. J.
AU  - Neuner, Irene
TI  - Comparison of EEG microstates with resting state fMRI and FDG-PET measures in the default mode network via simultaneously recorded trimodal (PET/MR/EEG) data
JO  - Human brain mapping
VL  - 42
IS  - 13
SN  - 1065-9471
CY  - New York, NY
PB  - Wiley-Liss
M1  - FZJ-2019-03188
SP  - 4122-4133
PY  - 2021
AB  - Simultaneous trimodal positron emission tomography/magnetic resonance imaging/electroencephalography (PET/MRI/EEG) resting state (rs) brain data were acquired from 10 healthy male volunteers. The rs-functional MRI (fMRI) metrics, such as regional homogeneity (ReHo), degree centrality (DC) and fractional amplitude of low-frequency fluctuations (fALFFs), as well as 2-[18F]fluoro-2-desoxy-d-glucose (FDG)-PET standardised uptake value (SUV), were calculated and the measures were extracted from the default mode network (DMN) regions of the brain. Similarly, four microstates for each subject, showing the diverse functional states of the whole brain via topographical variations due to global field power (GFP), were estimated from artefact-corrected EEG signals. In this exploratory analysis, the GFP of microstates was nonparametrically compared to rs-fMRI metrics and FDG-PET SUV measured in the DMN of the brain. The rs-fMRI metrics (ReHO, fALFF) and FDG-PET SUV did not show any significant correlations with any of the microstates. The DC metric showed a significant positive correlation with microstate C (rs = 0.73, p = .01). FDG-PET SUVs indicate a trend for a negative correlation with microstates A, B and C. The positive correlation of microstate C with DC metrics suggests a functional relationship between cortical hubs in the frontal and occipital lobes. The results of this study suggest further exploration of this method in a larger sample and in patients with neuropsychiatric disorders. The aim of this exploratory pilot study is to lay the foundation for the development of such multimodal measures to be applied as biomarkers for diagnosis, disease staging, treatment response and monitoring of neuropsychiatric disorders.
LB  - PUB:(DE-HGF)16
C6  - pmid:30367727
UR  - <Go to ISI:>//WOS:000683897100005
DO  - DOI:10.1002/hbm.24429
UR  - https://juser.fz-juelich.de/record/863071
ER  -