Evidence map›Paper›PMID 30118142›Full record

ArticleAlcoholism, clinical and experimental research2018

Lower Prefrontal and Hippocampal Volume and Diffusion Tensor Imaging Differences Reflect Structural and Functional Abnormalities in Abstinent Individuals with Alcohol Use Disorder.

Ashwini Kumar Pandey, Babak Assai Ardekani, Chella Kamarajan, Jian Zhang, David Balin Chorlian, Kelly Nicole-Helen Byrne, Gayathri Pandey, Jacquelyn Leigh Meyers, Sivan Kinreich, Arthur Stimus and 1 more

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 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Ashwini Kumar PandeyHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York.ORCID 0000-0002-2688-7901
Babak Assai ArdekaniComputational Neuroimaging Laboratories of the Center for Biomedical Imaging and Neuromodulation (C-BIN), The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
Chella KamarajanHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York.
Jian ZhangHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York.
David Balin ChorlianHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York.
Kelly Nicole-Helen ByrneComputational Neuroimaging Laboratories of the Center for Biomedical Imaging and Neuromodulation (C-BIN), The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York.
Gayathri PandeyHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York.
Jacquelyn Leigh MeyersHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York.
Sivan KinreichHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York.
Arthur StimusHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York.
Bernice PorjeszHenri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York.
SUNY Downstate Health Sciences University · USNathan Kline Institute for Psychiatric Research · US

Funding

BRAIN DYSFUNCTION AND ALCOHOLISMR01AA002686 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI PORJESZ, BERNICE · 1985 to 2018
$9.6M
NEUROPHYSIOLOGY IN CHILDREN AT HIGH RISK FOR ALCOHOLISMR01AA005524 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI PORJESZ, BERNICE · 1986 to 2015
$3.0M
NIAAA NIH HHS R01 AA002686NIAAA NIH HHS R01 AA005524
6 · The paper itself

Abstract

backgroundAlcohol use disorder (AUD) is known to have adverse effects on brain structure and function. Multimodal assessments investigating volumetric, diffusion, and cognitive characteristics may facilitate understanding of the consequences of long-term alcohol use on brain circuitry, their structural impairment patterns, and their impact on cognitive function in AUD.

methodsVoxel- and surface-based volumetric estimations, diffusion tensor imaging (DTI), and neuropsychological tests were performed on 60 individuals: 30 abstinent individuals with AUD (DSM-IV) and 30 healthy controls. Group differences in the volumes of cortical and subcortical regions, fractional anisotropy (FA), axial and radial diffusivities (AD and RD, respectively), and performance on neuropsychological tests were analyzed, and the relationship among significantly different measures was assessed using canonical correlation.

resultsAUD participants had significantly smaller volumes in left pars orbitalis, right medial orbitofrontal, right caudal middle frontal, and bilateral hippocampal regions, lower FA in 9 white matter (WM) regions, and higher FA in left thalamus, compared to controls. In AUD, lower FA in 6 of 9 WM regions was due to higher RD and due to lower AD in the left external capsule. AUD participants scored lower on problem-solving ability, visuospatial memory span, and working memory. Positive correlations of prefrontal cortical, left hippocampal volumes, and FA in 4 WM regions with visuospatial memory performance and negative correlation with lower problem-solving ability were observed. Significant positive correlation between age and FA was observed in bilateral putamen.

conclusionsFindings showed specific structural brain abnormalities to be associated with visuospatial memory and problem-solving ability-related impairments observed in AUD. Higher RD in 6 WM regions suggests demyelination, and lower AD in left external capsule suggests axonal loss in AUD. The positive correlation between FA and age in bilateral putamen may reflect accumulation of iron depositions with increasing age.

Indexed as

AdultAlcohol AbstinenceAlcoholismDiffusion Tensor ImagingFemaleHippocampusHumansMaleMiddle AgedNeuropsychological TestsOrgan SizePrefrontal CortexYoung AdultAxial and Radial DiffusivityDiffusion Tensor ImagingFractional AnisotropyHippocampal VolumeNeuropsychological Tasks

Identifiers

PMID30118142
PMCPMC6167190
OpenAlexW2886212083

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.