ArticleAlcoholism, clinical and experimental research2018
Does Family History of Alcohol Use Disorder Relate to Differences in Regional Brain Volumes? A Descriptive Review with New Data.
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 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Shared genetic effects among schizophrenia, substance use disorder, and hippocampal volume in a multiplex extended pedigree sample.Schizophrenia research · 2026Article
- Associations Between Family History of Alcohol and/or Substance Use Problems and Frontal Cortical Development From 9 to 13 Years of Age: A Longitudinal Analysis of the ABCD Study.Biological psychiatry global open science · 2024Article
- Testing the consequences of alcohol, cannabis, and nicotine use on hippocampal volume: a quasi-experimental cotwin control analysis of young adult twins.Psychological medicine · 2023Article
- Sex/gender differences in brain function and structure in alcohol use: A narrative review of neuroimaging findings over the last 10 years.Journal of neuroscience research · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundDifferences in regional brain volumes as a function of family history (FH) of alcohol use disorder (AUD) have been reported, and it has been suggested that these differences might index genetic risk for AUD. However, results have been inconsistent. The aims of the current study were (i) to provide an updated descriptive review of the existing literature and (ii) to examine the association of FH with indices of subcortical volumes and cortical thickness in a sample of youth recruited based on FH status.
methodsTo address aim 1, a literature search located 15 published studies comprising 1,735 participants. Studies were characterized according to population, analytic methods, regions of interest, and primary findings. To address the second aim, we examined volumetric and cortical thickness in a sample of 69 youth (mean age = 19.71 years, SD = 0.79) recruited based on FH status and matched on drinking variables. Associations of sex and alcohol use with volumetric outcomes were also examined.
resultsOur descriptive review revealed an inconsistent pattern of results with respect to the presence, direction, and regional specificity of volumetric differences across FH groups. The most consistent finding, significantly smaller amygdala volumes in FH+ participants, was not replicated in all studies. In the current sample of youth, measures of subcortical volumes and cortical thickness did not significantly differ as a function of FH, sex, or their interaction.
conclusionsEvidence for FH group differences in regional brain volumes is inconsistent, and the current study failed to detect any group differences. Further research is needed to confirm the reproducibility of FH group differences and implications for AUD risk.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.