Evidence map›Paper›PMID 29253797›Full record

ArticleDrug and alcohol dependence2018

Neural response to errors is associated with problematic alcohol use over time in combat-exposed returning veterans: An event-related potential study.

Natania A Crane, Stephanie M Gorka, Katie L Burkhouse, Kaveh Afshar, Justin E Greenstein, Darrin M Aase, Eric Proescher, Christopher Schroth, Amy E Kennedy, K Luan Phan

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 79% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

10 authors at 3 institutions in 1 country.

Natania A CraneDepartment of Psychiatry, University of Illinois at Chicago, United States. Electronic address: ncrane3@uic.edu.
Stephanie M GorkaDepartment of Psychiatry, University of Illinois at Chicago, United States.
Katie L BurkhouseDepartment of Psychiatry, University of Illinois at Chicago, United States.
Kaveh AfsharDepartment of Psychiatry, University of Illinois at Chicago, United States.
Justin E GreensteinMental Health Service Line, Jesse Brown VA Medical Center, United States.
Darrin M AaseDepartment of Psychiatry, University of Illinois at Chicago, United States; Mental Health Service Line, Jesse Brown VA Medical Center, United States; College of Health and Human Services, Governors State University, United States.
Eric ProescherDepartment of Psychiatry, University of Illinois at Chicago, United States; Mental Health Service Line, Jesse Brown VA Medical Center, United States.
Christopher SchrothDepartment of Psychiatry, University of Illinois at Chicago, United States; Mental Health Service Line, Jesse Brown VA Medical Center, United States.
Amy E KennedyDepartment of Psychiatry, University of Illinois at Chicago, United States; Mental Health Service Line, Jesse Brown VA Medical Center, United States.
K Luan PhanDepartment of Psychiatry, University of Illinois at Chicago, United States; Mental Health Service Line, Jesse Brown VA Medical Center, United States.
University of Illinois Chicago · USGovernors State University · USJesse Brown VA Medical Center · US

Funding

Training in the Neuroscience of Mental HealthT32MH067631 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI RASENICK, MARK M. · 2004 to 2024
$4.8M
Brain and Mental Health RECOVERYI01CX000913 · VA · JESSE BROWN VA MEDICAL CENTER · PI PHAN, K. LUAN · 2014 to 2017
–
CSRD VA I01 CX000913NIMH NIH HHS T32 MH067631
6 · The paper itself

Abstract

backgroundCurrently, we do not have biomarkers to help identify individuals at-risk for chronic, problematic alcohol use, especially among veteran populations, who have notoriously high rates of alcohol use. One biomarker that may predict individuals at risk for chronic, problematic alcohol use is error-related brain activity. We examined longitudinal associations between the error-related negativity (ERN), an event-related potential observed following the commission of errors, and problematic alcohol use among U.S. military veterans returning from recent conflicts in Iraq and Afghanistan.

methodsForty-six military veterans, aged 18-55 years, completed a well-validated flanker task known to elicit the ERN at baseline. Problematic alcohol use and other clinically relevant variables were assessed at baseline, 3-, 6-, 9-, 12-, 15-, 18-, 21-months, and 2 years.

resultsResults indicated that the ERN magnitude was associated with problematic alcohol use over time, even after controlling for relevant clinical variables. Specifically, veterans with a smaller ERN magnitude evidenced a decline in problematic alcohol use over time, while veterans with a larger ERN magnitude had no change in their problematic alcohol use across the follow-up. In addition, exploratory analyses found that treatment engagement during the study did not moderate these relationships.

conclusionsOur findings provide preliminary evidence that ERN can be used as a predictor of problematic alcohol use over time. Therefore, neural response to errors could help to identify individuals at risk for continued problematic alcohol use for intervention efforts and suggests that error processing may be an important therapeutic target within Alcohol Use Disorder intervention efforts.

Indexed as

VeteransAdolescentAdultAfghan Campaign 2001-Alcohol DrinkingAlcoholismCombat DisordersElectroencephalographyEvoked PotentialsFemaleHumansIraq War, 2003-2011MaleMiddle AgedReaction TimeYoung AdultAlcohol useError-related negativityVeterans

Identifiers

PMID29253797
PMCPMC5803403
OpenAlexW2775163579

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.