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Advances in Electrophysiological Research

Electrophysiological measures of brain function are effective tools to understand neurocognitive phenomena and sensitive indicators of pathophysiological processes associated with various clinical conditions, including alcoholism. Individuals with alcohol use disorder (AUD) and their high-risk offsp...

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Detalles Bibliográficos
Autores principales: Kamarajan, Chella, Porjesz, Bernice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Institute on Alcohol Abuse and Alcoholism 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476604/
https://www.ncbi.nlm.nih.gov/pubmed/26259089
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author Kamarajan, Chella
Porjesz, Bernice
author_facet Kamarajan, Chella
Porjesz, Bernice
author_sort Kamarajan, Chella
collection PubMed
description Electrophysiological measures of brain function are effective tools to understand neurocognitive phenomena and sensitive indicators of pathophysiological processes associated with various clinical conditions, including alcoholism. Individuals with alcohol use disorder (AUD) and their high-risk offspring have consistently shown dysfunction in several electrophysiological measures in resting state (i.e., electroencephalogram) and during cognitive tasks (i.e., event-related potentials and event-related oscillations). Researchers have recently developed sophisticated signal-processing techniques to characterize different aspects of brain dynamics, which can aid in identifying the neural mechanisms underlying alcoholism and other related complex disorders. These quantitative measures of brain function also have been successfully used as endophenotypes to identify and help understand genes associated with AUD and related disorders. Translational research also is examining how brain electrophysiological measures potentially can be applied to diagnosis, prevention, and treatment.
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spelling pubmed-44766042015-06-24 Advances in Electrophysiological Research Kamarajan, Chella Porjesz, Bernice Alcohol Res Special Section: Technologies for Translational Research Electrophysiological measures of brain function are effective tools to understand neurocognitive phenomena and sensitive indicators of pathophysiological processes associated with various clinical conditions, including alcoholism. Individuals with alcohol use disorder (AUD) and their high-risk offspring have consistently shown dysfunction in several electrophysiological measures in resting state (i.e., electroencephalogram) and during cognitive tasks (i.e., event-related potentials and event-related oscillations). Researchers have recently developed sophisticated signal-processing techniques to characterize different aspects of brain dynamics, which can aid in identifying the neural mechanisms underlying alcoholism and other related complex disorders. These quantitative measures of brain function also have been successfully used as endophenotypes to identify and help understand genes associated with AUD and related disorders. Translational research also is examining how brain electrophysiological measures potentially can be applied to diagnosis, prevention, and treatment. National Institute on Alcohol Abuse and Alcoholism 2015 /pmc/articles/PMC4476604/ /pubmed/26259089 Text en http://creativecommons.org/publicdomain/mark/1.0/ Unless otherwise noted in the text, all material appearing in this journal is in the public domain and may be reproduced without permission. Citation of the source is appreciated.
spellingShingle Special Section: Technologies for Translational Research
Kamarajan, Chella
Porjesz, Bernice
Advances in Electrophysiological Research
title Advances in Electrophysiological Research
title_full Advances in Electrophysiological Research
title_fullStr Advances in Electrophysiological Research
title_full_unstemmed Advances in Electrophysiological Research
title_short Advances in Electrophysiological Research
title_sort advances in electrophysiological research
topic Special Section: Technologies for Translational Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476604/
https://www.ncbi.nlm.nih.gov/pubmed/26259089
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