Evidence map›Paper›PMID 32765317›Full record

ReviewFrontiers in psychiatry2020

Neuropsychophysiological Measures of Alcohol Dependence: Can We Use EEG in the Clinical Assessment?

Rosa Jurado-Barba, Ana Sion, Andrés Martínez-Maldonado, Isabel Domínguez-Centeno, Julio Prieto-Montalvo, Francisco Navarrete, María Salud García-Gutierrez, Jorge Manzanares, Gabriel Rubio

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  7. Variants of the P3 event-related potential operate as indicators of distinct mechanisms contributing to problematic alcohol use.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Rosa Jurado-BarbaBiomedical Research Institute, Hospital 12 de Octubre, Madrid, Spain.
Ana SionBiomedical Research Institute, Hospital 12 de Octubre, Madrid, Spain.
Andrés Martínez-MaldonadoBiomedical Research Institute, Hospital 12 de Octubre, Madrid, Spain.
Isabel Domínguez-CentenoDepartment of Psychology, Education and Health Science Faculty, Camilo José Cela University, Madrid, Spain.
Julio Prieto-MontalvoDepartment of Clinical Neurophysiology, Hospital Gregorio Marañón, Madrid, Spain.
Francisco NavarreteAddictive Disorders Network, Carlos III Institute, Madrid, Spain.
María Salud García-GutierrezAddictive Disorders Network, Carlos III Institute, Madrid, Spain.
Jorge ManzanaresAddictive Disorders Network, Carlos III Institute, Madrid, Spain.
Gabriel RubioBiomedical Research Institute, Hospital 12 de Octubre, Madrid, Spain.
Research Institute Hospital 12 de Octubre · ESUniversitat de Miguel Hernández d'Elx · ESCamilo José Cela University · ESHospital General Universitario Gregorio Marañón · ESUniversidad Complutense de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

alcohol dependenceelectroencephalogramendophenotypesevent-related potentialexecutive dimensionincentive saliencenegative emotionality

Identifiers

PMID32765317
PMCPMC7379886
OpenAlexW3042396199

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.