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Transitioning from PET/MR to trimodal neuroimaging: why not cover the temporal dimension with EEG?
The possibility of multimodality imaging with PET/MR and the availability of ultra-high field MRI has allowed to investigate novel aspects of neuropsychiatric conditions. One of the major barriers in current studies is the lack of an instrument that allows to accurately cover the temporal aspect und...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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AIMS Press
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106333/ https://www.ncbi.nlm.nih.gov/pubmed/37077957 http://dx.doi.org/10.3934/Neuroscience.2023001 |
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author | Arachchige, Arosh S. Perera Molligoda |
author_facet | Arachchige, Arosh S. Perera Molligoda |
author_sort | Arachchige, Arosh S. Perera Molligoda |
collection | PubMed |
description | The possibility of multimodality imaging with PET/MR and the availability of ultra-high field MRI has allowed to investigate novel aspects of neuropsychiatric conditions. One of the major barriers in current studies is the lack of an instrument that allows to accurately cover the temporal aspect under the same physiological conditions. The aim of this commentary is to provide our perspective on how the integration of EEG-PET-MR could be a solution to the current challenge in molecular imaging and seems to hold great promise in future pharmacological challenging-based studies, understanding different functional states of the brain, and could furthermore aid in the diagnostic and prognostic evaluations of neurocognitive disorders. |
format | Online Article Text |
id | pubmed-10106333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | AIMS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-101063332023-04-18 Transitioning from PET/MR to trimodal neuroimaging: why not cover the temporal dimension with EEG? Arachchige, Arosh S. Perera Molligoda AIMS Neurosci Commentary The possibility of multimodality imaging with PET/MR and the availability of ultra-high field MRI has allowed to investigate novel aspects of neuropsychiatric conditions. One of the major barriers in current studies is the lack of an instrument that allows to accurately cover the temporal aspect under the same physiological conditions. The aim of this commentary is to provide our perspective on how the integration of EEG-PET-MR could be a solution to the current challenge in molecular imaging and seems to hold great promise in future pharmacological challenging-based studies, understanding different functional states of the brain, and could furthermore aid in the diagnostic and prognostic evaluations of neurocognitive disorders. AIMS Press 2023-02-20 /pmc/articles/PMC10106333/ /pubmed/37077957 http://dx.doi.org/10.3934/Neuroscience.2023001 Text en © 2023 the Author(s), licensee AIMS Press https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ) |
spellingShingle | Commentary Arachchige, Arosh S. Perera Molligoda Transitioning from PET/MR to trimodal neuroimaging: why not cover the temporal dimension with EEG? |
title | Transitioning from PET/MR to trimodal neuroimaging: why not cover the temporal dimension with EEG? |
title_full | Transitioning from PET/MR to trimodal neuroimaging: why not cover the temporal dimension with EEG? |
title_fullStr | Transitioning from PET/MR to trimodal neuroimaging: why not cover the temporal dimension with EEG? |
title_full_unstemmed | Transitioning from PET/MR to trimodal neuroimaging: why not cover the temporal dimension with EEG? |
title_short | Transitioning from PET/MR to trimodal neuroimaging: why not cover the temporal dimension with EEG? |
title_sort | transitioning from pet/mr to trimodal neuroimaging: why not cover the temporal dimension with eeg? |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106333/ https://www.ncbi.nlm.nih.gov/pubmed/37077957 http://dx.doi.org/10.3934/Neuroscience.2023001 |
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