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000863071 1001_ $$0P:(DE-Juel1)164396$$aRajkumar, Ravichandran$$b0
000863071 245__ $$aComparison of EEG microstates with resting state fMRI and FDG-PET measures in the default mode network via simultaneously recorded trimodal (PET/MR/EEG) data
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000863071 520__ $$aSimultaneous trimodal positron emission tomography/magnetic resonance imaging/electroencephalography (PET/MRI/EEG) resting state (rs) brain data were acquired from 10 healthy male volunteers. The rs-functional MRI (fMRI) metrics, such as regional homogeneity (ReHo), degree centrality (DC) and fractional amplitude of low-frequency fluctuations (fALFFs), as well as 2-[18F]fluoro-2-desoxy-d-glucose (FDG)-PET standardised uptake value (SUV), were calculated and the measures were extracted from the default mode network (DMN) regions of the brain. Similarly, four microstates for each subject, showing the diverse functional states of the whole brain via topographical variations due to global field power (GFP), were estimated from artefact-corrected EEG signals. In this exploratory analysis, the GFP of microstates was nonparametrically compared to rs-fMRI metrics and FDG-PET SUV measured in the DMN of the brain. The rs-fMRI metrics (ReHO, fALFF) and FDG-PET SUV did not show any significant correlations with any of the microstates. The DC metric showed a significant positive correlation with microstate C (rs = 0.73, p = .01). FDG-PET SUVs indicate a trend for a negative correlation with microstates A, B and C. The positive correlation of microstate C with DC metrics suggests a functional relationship between cortical hubs in the frontal and occipital lobes. The results of this study suggest further exploration of this method in a larger sample and in patients with neuropsychiatric disorders. The aim of this exploratory pilot study is to lay the foundation for the development of such multimodal measures to be applied as biomarkers for diagnosis, disease staging, treatment response and monitoring of neuropsychiatric disorders.
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000863071 7001_ $$0P:(DE-Juel1)138244$$aFarrher, Ezequiel$$b1
000863071 7001_ $$0P:(DE-Juel1)144215$$aMauler, Jörg$$b2
000863071 7001_ $$0P:(DE-Juel1)165677$$aSripad, Praveen$$b3
000863071 7001_ $$0P:(DE-HGF)0$$aRégio Brambilla, Cláudia$$b4
000863071 7001_ $$0P:(DE-Juel1)131788$$aRota Kops, Elena$$b5
000863071 7001_ $$0P:(DE-Juel1)131791$$aScheins, Jürgen$$b6$$ufzj
000863071 7001_ $$0P:(DE-Juel1)131757$$aDammers, Jürgen$$b7
000863071 7001_ $$0P:(DE-Juel1)164254$$aLerche, Christoph$$b8
000863071 7001_ $$0P:(DE-Juel1)131777$$aLangen, Karl-Josef$$b9
000863071 7001_ $$0P:(DE-Juel1)131768$$aHerzog, Hans$$b10$$ufzj
000863071 7001_ $$0P:(DE-HGF)0$$aBiswal, Bharat$$b11
000863071 7001_ $$0P:(DE-Juel1)131794$$aShah, N. J.$$b12$$ufzj
000863071 7001_ $$0P:(DE-Juel1)131781$$aNeuner, Irene$$b13$$eCorresponding author$$ufzj
000863071 773__ $$0PERI:(DE-600)1492703-2$$a10.1002/hbm.24429$$n13$$p4122-4133$$tHuman brain mapping$$v42$$x1065-9471$$y-
000863071 8564_ $$uhttps://juser.fz-juelich.de/record/863071/files/2018_Rajkumar_HBM_Postprint.pdf$$yOpenAccess
000863071 8564_ $$uhttps://juser.fz-juelich.de/record/863071/files/Comparison_of%20EEG_microstates_PET_fMRI_Revision1.pdf$$yOpenAccess
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