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

• Main Authors: Biswal, B. (Author), Dammers, J. (Author), Farrher, E. (Author), Herzog, H. (Author), Langen, K.-J (Author), Lerche, C. (Author), Mauler, J. (Author), Neuner, I. (Author), Rajkumar, R. (Author), Régio Brambilla, C. (Author), Rota Kops, E. (Author), Scheins, J. (Author), Shah, N.J (Author), Sripad, P. (Author)
• Format: Article
• Language: English
• Published: John Wiley and Sons Inc 2021
• Subjects: 18F-FDG; adult; Adult; Article; artifact; biological marker; biomarkers; Biomarkers; brain cortex; Cerebral Cortex; comparative study; connectome; Connectome; controlled study; data analysis software; default mode network; Default Mode Network; diagnostic imaging; electroencephalography; Electroencephalography; exploratory research; fluorodeoxyglucose f 18; fMRI; fractional amplitude of low-frequency fluctuation; functional magnetic resonance imaging; human; human experiment; Humans; image processing; Magnetic Resonance Imaging; male; mental disease; multimodal imaging; Multimodal Imaging; normal human; nuclear magnetic resonance imaging; occipital lobe; physiology; pilot study; positron emission tomography; Positron-Emission Tomography; procedures; resting state network; standardized uptake value; treatment response
• Online Access: View Fulltext in Publisher

 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. © 2018 Wiley Periodicals, Inc.