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Electrophysiological and behavioral correlates of cannabis use disorder
Current research indicates deficits in cognitive function together with widespread changes in brain activity following long-term cannabis use. In particular, cannabis use has been associated with excessive spectral power of the alpha rhythm (8–12 Hz), which is also known to be modulated during atten...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622528/ https://www.ncbi.nlm.nih.gov/pubmed/35698004 http://dx.doi.org/10.3758/s13415-022-01016-w |
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author | Andriot, Théo Ohnmacht, Patrick Vuilleumier, Patrik Thorens, Gabriel Khazaal, Yasser Ginovart, Nathalie Ros, Tomas |
author_facet | Andriot, Théo Ohnmacht, Patrick Vuilleumier, Patrik Thorens, Gabriel Khazaal, Yasser Ginovart, Nathalie Ros, Tomas |
author_sort | Andriot, Théo |
collection | PubMed |
description | Current research indicates deficits in cognitive function together with widespread changes in brain activity following long-term cannabis use. In particular, cannabis use has been associated with excessive spectral power of the alpha rhythm (8–12 Hz), which is also known to be modulated during attentional states. Recent neuroimaging studies have linked heavy cannabis use with structural and metabolic changes in the brain; however, the functional consequences of these changes are still not fully characterized. This study investigated the electrophysiological and behavioral correlates of cannabis dependence by comparing patients with a cannabis use disorder (CUD; N = 24) with cannabis nonuser controls (N = 24), using resting state electroencephalogram (EEG) source-imaging. In addition to evaluating mean differences between groups, we also explored whether particular EEG patterns were associated with individual cognitive-behavioral measures. First, we replicated historical findings of elevated levels of (relative) alpha rhythm in CUD patients compared with controls and located these abnormalities to mainly prefrontal cortical regions. Importantly, we observed a significant negative correlation between alpha spectral power in several cortical regions and individual attentional performance in the Go/NoGo task. Because such relationship was absent in the nonuser control group, our results suggest that reduced prefrontal cortical activation (indexed by increased relative alpha power) could be partly responsible for the reported cognitive impairments in CUD. Our findings support the use of electroencephalography as a noninvasive and cost-effective tool for biomarker discovery in substance abuse and have the potential of directly informing future intervention strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.3758/s13415-022-01016-w. |
format | Online Article Text |
id | pubmed-9622528 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-96225282022-11-02 Electrophysiological and behavioral correlates of cannabis use disorder Andriot, Théo Ohnmacht, Patrick Vuilleumier, Patrik Thorens, Gabriel Khazaal, Yasser Ginovart, Nathalie Ros, Tomas Cogn Affect Behav Neurosci Research Article Current research indicates deficits in cognitive function together with widespread changes in brain activity following long-term cannabis use. In particular, cannabis use has been associated with excessive spectral power of the alpha rhythm (8–12 Hz), which is also known to be modulated during attentional states. Recent neuroimaging studies have linked heavy cannabis use with structural and metabolic changes in the brain; however, the functional consequences of these changes are still not fully characterized. This study investigated the electrophysiological and behavioral correlates of cannabis dependence by comparing patients with a cannabis use disorder (CUD; N = 24) with cannabis nonuser controls (N = 24), using resting state electroencephalogram (EEG) source-imaging. In addition to evaluating mean differences between groups, we also explored whether particular EEG patterns were associated with individual cognitive-behavioral measures. First, we replicated historical findings of elevated levels of (relative) alpha rhythm in CUD patients compared with controls and located these abnormalities to mainly prefrontal cortical regions. Importantly, we observed a significant negative correlation between alpha spectral power in several cortical regions and individual attentional performance in the Go/NoGo task. Because such relationship was absent in the nonuser control group, our results suggest that reduced prefrontal cortical activation (indexed by increased relative alpha power) could be partly responsible for the reported cognitive impairments in CUD. Our findings support the use of electroencephalography as a noninvasive and cost-effective tool for biomarker discovery in substance abuse and have the potential of directly informing future intervention strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.3758/s13415-022-01016-w. Springer US 2022-06-13 2022 /pmc/articles/PMC9622528/ /pubmed/35698004 http://dx.doi.org/10.3758/s13415-022-01016-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Andriot, Théo Ohnmacht, Patrick Vuilleumier, Patrik Thorens, Gabriel Khazaal, Yasser Ginovart, Nathalie Ros, Tomas Electrophysiological and behavioral correlates of cannabis use disorder |
title | Electrophysiological and behavioral correlates of cannabis use disorder |
title_full | Electrophysiological and behavioral correlates of cannabis use disorder |
title_fullStr | Electrophysiological and behavioral correlates of cannabis use disorder |
title_full_unstemmed | Electrophysiological and behavioral correlates of cannabis use disorder |
title_short | Electrophysiological and behavioral correlates of cannabis use disorder |
title_sort | electrophysiological and behavioral correlates of cannabis use disorder |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622528/ https://www.ncbi.nlm.nih.gov/pubmed/35698004 http://dx.doi.org/10.3758/s13415-022-01016-w |
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