Journal Article

FZJ-2017-05198

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Multimodal Fingerprints of Resting State Networks as assessed by Simultaneous Trimodal MR-PET-EEG Imaging

Shah, N. J.FZJ* ; Arrubla, J. ; Rajkumar, R.FZJ* ; Farrher, E.FZJ* ; Mauler, J.FZJ* ; Rota Kops, E.FZJ* ; Tellmann, L.FZJ* ; Scheins, J.FZJ* ; Boers, F.FZJ* ; Dammers, J.FZJ* ; Sripad, P.FZJ* ; Lerche, C.FZJ* ; Langen, K. J.FZJ* ; Herzog, H.FZJ* ; Neuner, I. (Corresponding author)FZJ*

2017
Nature Publishing Group London

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Please use a persistent id in citations: http://hdl.handle.net/2128/14982  doi:10.1038/s41598-017-05484-w

Abstract: Simultaneous MR-PET-EEG (magnetic resonance imaging - positron emission tomography – electroencephalography), a new tool for the investigation of neuronal networks in the human brain, is presented here for the first time. It enables the assessment of molecular metabolic information with high spatial and temporal resolution in a given brain simultaneously. Here, we characterize the brain’s default mode network (DMN) in healthy male subjects using multimodal fingerprinting by quantifying energy metabolism via 2- [18F]fluoro-2-desoxy-D-glucose PET (FDG-PET), the inhibition – excitation balance of neuronal activation via magnetic resonance spectroscopy (MRS), its functional connectivity via fMRI and its electrophysiological signature via EEG. The trimodal approach reveals a complementary fingerprint. Neuronal activation within the DMN as assessed with fMRI is positively correlated with the mean standard uptake value of FDG. Electrical source localization of EEG signals shows a significant difference between the dorsal DMN and sensorimotor network in the frequency range of δ, θ, α and β–1, but not with β–2 and β–3. In addition to basic neuroscience questions addressing neurovascular-metabolic coupling, this new methodology lays the foundation for individual physiological and pathological fingerprints for a wide research field addressing healthy aging, gender effects, plasticity and different psychiatric and neurological diseases.

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Contributing Institute(s):

1. Physik der Medizinischen Bildgebung (INM-4)
2. JARA-BRAIN (JARA-BRAIN)

Research Program(s):

1. 573 - Neuroimaging (POF3-573) (POF3-573)

Appears in the scientific report 2017

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