Evidence map›Paper›PMID 29105114›Full record

ArticleAlcoholism, clinical and experimental research2018

Cortical Thickness in Adolescents with a Family History of Alcohol Use Disorder.

Kate E Henderson, Jatin G Vaidya, John R Kramer, Samuel Kuperman, Douglas R Langbehn, Daniel S O'Leary

Open access · greenAbstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
7.3field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Adolescent alcohol use is linked to disruptions in age-appropriate cortical thinning: an unsupervised machine learning approach.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Article
  11. Article
  12. Article
  13. Neuroimaging in alcohol use disorder: From mouse to man.Journal of neuroscience research · 2022
    Review
  14. Article
  15. Article
  16. Bidirectional causality between addiction and cognitive deficits.International review of neurobiology · 2021
    Review
  17. Article
  18. Article
  19. Review
  20. Sex Differences in the Neurobiology of Alcohol Use Disorder.Alcohol research : current reviews · 2020
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Kate E HendersonInterdisciplinary Graduate Program in Neuroscience, The University of Iowa, Iowa City, Iowa.ORCID 0000-0003-2905-7978
Jatin G VaidyaDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa.ORCID 0000-0002-2375-816X
John R KramerDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa.
Samuel KupermanDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa.
Douglas R LangbehnDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa.
Daniel S O'LearyDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa.
University of Iowa · US

Funding

The Relationship of Adolescent Binge Drinking to Measures of Brain and BehaviorR01AA021165 · NIAAA · UNIVERSITY OF IOWA · PI O LEARY, DANIEL S. · 2013 to 2017
$2.8M
Brain Development in Adolescents with Genetic Risk Factors for AlcoholismR01AA018405 · NIAAA · UNIVERSITY OF IOWA · PI O LEARY, DANIEL S. · 2010 to 2014
$2.4M
NIAAA NIH HHS R01 AA018405NIAAA NIH HHS R01 AA021165
6 · The paper itself

Abstract

backgroundIndividuals with a family history (FH+) of alcohol use disorder (AUD) have a higher risk for developing an AUD than those with no family history (FH-) of AUD. In addition, FH+ individuals tend to perform worse on neuropsychological measures and show heightened impulsivity, which may be due to underlying differences in brain structure such as cortical thickness. The primary aim of this study was to investigate differences in cortical thickness in FH+ compared to FH- adolescents. Secondary aims were to (i) investigate differences in executive functioning and impulsivity, and (ii) examine associations between brain structure and behavior.

methodsBrain scans of 95 FH- and 93 FH+ subjects aged 13 to 18 were obtained using magnetic resonance imaging. FH+ subjects were required to have at least 1 biological parent with a history of an AUD. FH+ and FH- individuals had limited or no past alcohol use, thereby minimizing potential effects of alcohol. Subjects were evaluated on impulsivity and executive functioning tasks. Thicknesses of cortical lobes and subregions were analyzed using FreeSurfer. Regions showing group differences were examined for group-by-age interactions and correlations with neuropsychological and personality measures.

resultsFH+ adolescents had thinner cortices in frontal and parietal lobes, notably in the medial orbitofrontal, lateral orbitofrontal, and superior parietal cortices. The difference in cortical thickness between family history groups was strongest among the youngest subjects. FH+ subjects were also more impulsive and had poorer performance on a spatial memory task.

conclusionsThese findings demonstrate frontal and parietal structural differences in FH+ adolescents that might underlie cognitive and behavioral characteristics associated with AUD risk.

Indexed as

AdolescentAdolescent BehaviorAlcoholismCerebral CortexFemaleHumansImpulsive BehaviorMagnetic Resonance ImagingMaleOrgan SizeAdolescenceAlcohol Use DisorderCortical ThicknessFamily HistoryMagnetic Resonance Imaging

Identifiers

PMID29105114
PMCPMC7219278
OpenAlexW2765624956

What OpenQuestion holds

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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.