Multimodal Fingerprints of Resting State Networks as assessed by Simultaneous Trimodal MR-PET-EEG Imaging

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 hig...

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Autores principales:	N. J. Shah, J. Arrubla, R. Rajkumar, E. Farrher, J. Mauler, E. Rota Kops, L. Tellmann, J. Scheins, F. Boers, J. Dammers, P. Sripad, C. Lerche, K. J. Langen, H. Herzog, I. Neuner
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/6af43c9452dd46b08f58fdb0b8735838
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spelling	oai:doaj.org-article:6af43c9452dd46b08f58fdb0b87358382021-12-02T12:32:08ZMultimodal Fingerprints of Resting State Networks as assessed by Simultaneous Trimodal MR-PET-EEG Imaging10.1038/s41598-017-05484-w2045-2322https://doaj.org/article/6af43c9452dd46b08f58fdb0b87358382017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05484-whttps://doaj.org/toc/2045-2322Abstract 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.N. J. ShahJ. ArrublaR. RajkumarE. FarrherJ. MaulerE. Rota KopsL. TellmannJ. ScheinsF. BoersJ. DammersP. SripadC. LercheK. J. LangenH. HerzogI. NeunerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-13 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q N. J. Shah J. Arrubla R. Rajkumar E. Farrher J. Mauler E. Rota Kops L. Tellmann J. Scheins F. Boers J. Dammers P. Sripad C. Lerche K. J. Langen H. Herzog I. Neuner Multimodal Fingerprints of Resting State Networks as assessed by Simultaneous Trimodal MR-PET-EEG Imaging
description	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.
format	article
author	N. J. Shah J. Arrubla R. Rajkumar E. Farrher J. Mauler E. Rota Kops L. Tellmann J. Scheins F. Boers J. Dammers P. Sripad C. Lerche K. J. Langen H. Herzog I. Neuner
author_facet	N. J. Shah J. Arrubla R. Rajkumar E. Farrher J. Mauler E. Rota Kops L. Tellmann J. Scheins F. Boers J. Dammers P. Sripad C. Lerche K. J. Langen H. Herzog I. Neuner
author_sort	N. J. Shah
title	Multimodal Fingerprints of Resting State Networks as assessed by Simultaneous Trimodal MR-PET-EEG Imaging
title_short	Multimodal Fingerprints of Resting State Networks as assessed by Simultaneous Trimodal MR-PET-EEG Imaging
title_full	Multimodal Fingerprints of Resting State Networks as assessed by Simultaneous Trimodal MR-PET-EEG Imaging
title_fullStr	Multimodal Fingerprints of Resting State Networks as assessed by Simultaneous Trimodal MR-PET-EEG Imaging
title_full_unstemmed	Multimodal Fingerprints of Resting State Networks as assessed by Simultaneous Trimodal MR-PET-EEG Imaging
title_sort	multimodal fingerprints of resting state networks as assessed by simultaneous trimodal mr-pet-eeg imaging
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/6af43c9452dd46b08f58fdb0b8735838
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Multimodal Fingerprints of Resting State Networks as assessed by Simultaneous Trimodal MR-PET-EEG Imaging

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