ArticlePloS one2015
Alcohol use disorder with and without stimulant use: brain morphometry and its associations with cigarette smoking, cognition, and inhibitory control.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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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.
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Who cites it
25 citing papers in PubMed, 53 citations in OpenAlex.
- Factors influencing tobacco smoking among men aged 15-49 years in Nepal.Scientific reports · 2025Article
- Differing Effects of Alcohol Use on Epigenetic and Brain Age in Adult Children of Parents with Alcohol Use Disorder.Brain sciences · 2024Article
- The gut-brain axis in individuals with alcohol use disorder: An exploratory study of associations among clinical symptoms, brain morphometry, and the gut microbiome.Alcohol, clinical & experimental research · 2024Article
- Non-local diffusion-based biomarkers in patients with cocaine use disorder.Neuroimage. Reports · 2024Article
- "Non-Eloquent" brain regions predict neuropsychological outcome in tumor patients undergoing awake craniotomy.PloS one · 2024Article
- Intracortical myelin in individuals with alcohol use disorder: An initial proof-of-concept study.Brain and behavior · 2022Article
- Resting state functional connectivity in alcohol users and co-users of other substances.Psychiatry research. Neuroimaging · 2022Article
- Selective D3 receptor antagonism modulates neural response during negative emotional processing in substance dependence.Frontiers in psychiatry · 2022Article
- Substance-Specific and Shared Gray Matter Signatures in Alcohol, Opioid, and Polysubstance Use Disorder.Frontiers in psychiatry · 2021Article
- Multiple Substance Use Disorders and Self-Reported Cognitive Function in U.S. Adults: Associations and Sex-Differences in a Nationally Representative Sample.Frontiers in psychiatry · 2021Article
- Cerebellar Morphometry and Cognition in the Context of Chronic Alcohol Consumption and Cigarette Smoking.Alcoholism, clinical and experimental research · 2020Article
- Associations Between Drinking and Cortical Thickness in Younger Adult Drinkers: Findings From the Human Connectome Project.Alcoholism, clinical and experimental research · 2019Article
- Brain-behavior relations and effects of aging and common comorbidities in alcohol use disorder: A review.Neuropsychology · 2019Review
- Brain connectivity-informed regularization methods for regression.Statistics in biosciences · 2019Article
- The importance of considering polysubstance use: lessons from cocaine research.Drug and alcohol dependence · 2018Review
- Adolescent brain cognitive development (ABCD) study: Overview of substance use assessment methods.Developmental cognitive neuroscience · 2018Review
- Regional Brain Volume Changes in Alcohol-Dependent Individuals During Short-Term and Long-Term Abstinence.Alcoholism, clinical and experimental research · 2018Article
- Regional cerebral blood flow in opiate dependence relates to substance use and neuropsychological performance.Addiction biology · 2018Article
- Brain Structure Alterations in Respect to Tobacco Consumption and Nicotine Dependence: A Comparative Voxel-Based Morphometry Study.Frontiers in neuroanatomy · 2018Article
- Brain GABA and Glutamate Concentrations Following Chronic Gabapentin Administration: A Convenience Sample Studied During Early Abstinence From Alcohol.Frontiers in psychiatry · 2018Article
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 at 5 institutions in 3 countries.
Funding
Abstract
objectiveLittle is known about the effects of polysubstance use and cigarette smoking on brain morphometry. This study examined neocortical brain morphometric differences between abstinent polysubstance dependent and alcohol-only dependent treatment seekers (ALC) as well as light drinking controls (CON), the associations of cigarette smoking in these polysubstance users (PSU), and morphometric relationships to cognition and inhibitory control.
methodsAll participants completed extensive neuropsychological assessments and 4 Tesla brain magnetic resonance imaging. PSU and ALC were abstinent for one month at the time of study. Parcellated morphological data (volume, surface area, thickness) were obtained with FreeSurfer methodology for the following bilateral components: dorso-prefrontal cortex (DPFC), anterior cingulate cortex (ACC), orbitofrontal cortex (OFC), and insula. Regional group differences were examined and structural data correlated with domains of cognition and inhibitory control.
resultsPSU had significantly smaller left OFC volume and surface area and trends to smaller right DPFC volume and surface area compared to CON; PSU did not differ significantly from ALC on these measures. PSU, however, had significantly thinner right ACC than ALC. Smoking PSU had significantly larger right OFC surface area than non-smoking PSU. No significant relationships between morphometry and quantity/frequency of substance use, alcohol use, or age of onset of heavy drinking were observed. PSU exhibited distinct relationships between brain structure and processing speed, cognitive efficiency, working memory and inhibitory control that were not observed in ALC or CON.
conclusionPolysubstance users have unique morphometric abnormalities and structure-function relationships when compared to individuals dependent only on alcohol and light drinking controls. Chronic cigarette smoking is associated with structural brain irregularities in polysubstance users. Further elucidation of these distinctive characteristics could help inform the development of targeted and thus potentially more effective treatments in this large but understudied population.
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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.