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Neuropsychophysiological Measures of Alcohol Dependence: Can We Use EEG in the Clinical Assessment?
Addiction management is complex, and it requires a bio-psycho-social perspective, that ought to consider the multiple etiological and developmental factors. Because of this, a large amount of resources has been allocated to assess the vulnerability to dependence, i.e., to identify the processes unde...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379886/ https://www.ncbi.nlm.nih.gov/pubmed/32765317 http://dx.doi.org/10.3389/fpsyt.2020.00676 |
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author | Jurado-Barba, Rosa Sion, Ana Martínez-Maldonado, Andrés Domínguez-Centeno, Isabel Prieto-Montalvo, Julio Navarrete, Francisco García-Gutierrez, María Salud Manzanares, Jorge Rubio, Gabriel |
author_facet | Jurado-Barba, Rosa Sion, Ana Martínez-Maldonado, Andrés Domínguez-Centeno, Isabel Prieto-Montalvo, Julio Navarrete, Francisco García-Gutierrez, María Salud Manzanares, Jorge Rubio, Gabriel |
author_sort | Jurado-Barba, Rosa |
collection | PubMed |
description | Addiction management is complex, and it requires a bio-psycho-social perspective, that ought to consider the multiple etiological and developmental factors. Because of this, a large amount of resources has been allocated to assess the vulnerability to dependence, i.e., to identify the processes underlying the transition from substance use to dependence, as well as its course, in order to determine the key points in its prevention, treatment, and recovery. Consequently, knowledge \from neuroscience must be taken into account, which is why different initiatives have emerged with this objective, such as the “Research Domain Criteria” (RDoC), and the “Addiction Neuroclinical Assessment” (ANA). Particularly, neuropsychophysiological measures could be used as markers of cognitive and behavioral attributes or traits in alcohol dependence, and even trace clinical change. In this way, the aim of this narrative review is to provide an overview following ANA clinical framework, to the most robust findings in neuropsychophysiological changes in alcohol dependence, that underlie the main cognitive domains implicated in addiction: incentive salience, negative emotionality, and executive functioning. The most consistent results have been found in event-related potential (ERP) analysis, especially in the P3 component, that could show a wide clinical utility, mainly for the executive functions. The review also shows the usefulness of other components, implicated in affective and substance-related processing (P1, N1, or the late positive potential LPP), as well as event-related oscillations, such as theta power, with a possible use as vulnerability or clinical marker in alcohol dependence. Finally, new tools emerging from psychophysiology research, based on functional connectivity or brain graph analysis could help toward a better understanding of altered circuits in alcohol dependence, as well as communication efficiency and effort during mental operations. This review concludes with an examination of these tools as possible markers in the clinical field and discusses methodological differences, the need for more replicability studies and incipient lines of work. It also uses consistent findings in psychophysiology to draw possible treatment targets and cognitive profiles in alcohol dependence. |
format | Online Article Text |
id | pubmed-7379886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73798862020-08-05 Neuropsychophysiological Measures of Alcohol Dependence: Can We Use EEG in the Clinical Assessment? Jurado-Barba, Rosa Sion, Ana Martínez-Maldonado, Andrés Domínguez-Centeno, Isabel Prieto-Montalvo, Julio Navarrete, Francisco García-Gutierrez, María Salud Manzanares, Jorge Rubio, Gabriel Front Psychiatry Psychiatry Addiction management is complex, and it requires a bio-psycho-social perspective, that ought to consider the multiple etiological and developmental factors. Because of this, a large amount of resources has been allocated to assess the vulnerability to dependence, i.e., to identify the processes underlying the transition from substance use to dependence, as well as its course, in order to determine the key points in its prevention, treatment, and recovery. Consequently, knowledge \from neuroscience must be taken into account, which is why different initiatives have emerged with this objective, such as the “Research Domain Criteria” (RDoC), and the “Addiction Neuroclinical Assessment” (ANA). Particularly, neuropsychophysiological measures could be used as markers of cognitive and behavioral attributes or traits in alcohol dependence, and even trace clinical change. In this way, the aim of this narrative review is to provide an overview following ANA clinical framework, to the most robust findings in neuropsychophysiological changes in alcohol dependence, that underlie the main cognitive domains implicated in addiction: incentive salience, negative emotionality, and executive functioning. The most consistent results have been found in event-related potential (ERP) analysis, especially in the P3 component, that could show a wide clinical utility, mainly for the executive functions. The review also shows the usefulness of other components, implicated in affective and substance-related processing (P1, N1, or the late positive potential LPP), as well as event-related oscillations, such as theta power, with a possible use as vulnerability or clinical marker in alcohol dependence. Finally, new tools emerging from psychophysiology research, based on functional connectivity or brain graph analysis could help toward a better understanding of altered circuits in alcohol dependence, as well as communication efficiency and effort during mental operations. This review concludes with an examination of these tools as possible markers in the clinical field and discusses methodological differences, the need for more replicability studies and incipient lines of work. It also uses consistent findings in psychophysiology to draw possible treatment targets and cognitive profiles in alcohol dependence. Frontiers Media S.A. 2020-07-17 /pmc/articles/PMC7379886/ /pubmed/32765317 http://dx.doi.org/10.3389/fpsyt.2020.00676 Text en Copyright © 2020 Jurado-Barba, Sion, Martínez-Maldonado, Domínguez-Centeno, Prieto-Montalvo, Navarrete, García-Gutierrez, Manzanares and Rubio http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry Jurado-Barba, Rosa Sion, Ana Martínez-Maldonado, Andrés Domínguez-Centeno, Isabel Prieto-Montalvo, Julio Navarrete, Francisco García-Gutierrez, María Salud Manzanares, Jorge Rubio, Gabriel Neuropsychophysiological Measures of Alcohol Dependence: Can We Use EEG in the Clinical Assessment? |
title | Neuropsychophysiological Measures of Alcohol Dependence: Can We Use EEG in the Clinical Assessment? |
title_full | Neuropsychophysiological Measures of Alcohol Dependence: Can We Use EEG in the Clinical Assessment? |
title_fullStr | Neuropsychophysiological Measures of Alcohol Dependence: Can We Use EEG in the Clinical Assessment? |
title_full_unstemmed | Neuropsychophysiological Measures of Alcohol Dependence: Can We Use EEG in the Clinical Assessment? |
title_short | Neuropsychophysiological Measures of Alcohol Dependence: Can We Use EEG in the Clinical Assessment? |
title_sort | neuropsychophysiological measures of alcohol dependence: can we use eeg in the clinical assessment? |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379886/ https://www.ncbi.nlm.nih.gov/pubmed/32765317 http://dx.doi.org/10.3389/fpsyt.2020.00676 |
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