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Multimodal Fingerprints of Resting State Networks as assessed by Simultaneous Trimodal MR-PET-EEG Imaging
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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5527085/ https://www.ncbi.nlm.nih.gov/pubmed/28743861 http://dx.doi.org/10.1038/s41598-017-05484-w |
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author | Shah, N. J. Arrubla, J. Rajkumar, R. Farrher, E. Mauler, J. Kops, E. Rota Tellmann, L. Scheins, J. Boers, F. Dammers, J. Sripad, P. Lerche, C. Langen, K. J. Herzog, H. Neuner, I. |
author_facet | Shah, N. J. Arrubla, J. Rajkumar, R. Farrher, E. Mauler, J. Kops, E. Rota Tellmann, L. Scheins, J. Boers, F. Dammers, J. Sripad, P. Lerche, C. Langen, K. J. Herzog, H. Neuner, I. |
author_sort | Shah, N. J. |
collection | PubMed |
description | 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- [(18)F]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 | Online Article Text |
id | pubmed-5527085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55270852017-08-02 Multimodal Fingerprints of Resting State Networks as assessed by Simultaneous Trimodal MR-PET-EEG Imaging Shah, N. J. Arrubla, J. Rajkumar, R. Farrher, E. Mauler, J. Kops, E. Rota Tellmann, L. Scheins, J. Boers, F. Dammers, J. Sripad, P. Lerche, C. Langen, K. J. Herzog, H. Neuner, I. Sci Rep Article 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- [(18)F]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. Nature Publishing Group UK 2017-07-25 /pmc/articles/PMC5527085/ /pubmed/28743861 http://dx.doi.org/10.1038/s41598-017-05484-w Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Shah, N. J. Arrubla, J. Rajkumar, R. Farrher, E. Mauler, J. Kops, E. Rota Tellmann, L. Scheins, J. Boers, F. Dammers, J. Sripad, P. Lerche, C. Langen, K. J. Herzog, H. Neuner, I. Multimodal Fingerprints of Resting State Networks as assessed by Simultaneous Trimodal MR-PET-EEG Imaging |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5527085/ https://www.ncbi.nlm.nih.gov/pubmed/28743861 http://dx.doi.org/10.1038/s41598-017-05484-w |
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