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Completed

NCT Number: NCT03338933

Neurobiology of Alcohol and Nicotine Co-Addiction

This proposal addresses the critical absence of information about the neurobiology of recovery from Alcohol Use Disorder (AUD) in alcohol and nicotine users.

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Key information

Age range

18 year–55 year

Sex eligibility

All sexes

Study type

Observational

Primary location

VA Portland Health Care System, Portland, OR

Portland, Oregon, 97207-2964, United States

About this study

This proposal addresses the critical absence of information about the neurobiology of recovery from Alcohol Use Disorder (AUD) in alcohol and nicotine users. AUD and nicotine use disorder (NUD) are the most commonly abused (non-prescription) substances in the U.S. Co-addiction is particularly high in military veterans. Although nationwide estimates peg the rate of AUD/NUD co-addiction at 80%, the Substance Abuse Treatment Program (SATP) at the Veterans Affairs Portland Health Care System (VAPORHCS) finds that 90% of veterans treated for AUD also meet criteria for NUD. The investigators hypothesize that a support vector machine learning algorithm will be able to use the measures to classify subjects as AUD, NUD both or neither and that the algorithm will predict outcome (sobriety or relapse) at three months.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • None

Exclusion criteria

  • None

Treatment and study plan

magnetic resonance imaging (MRI)

Behavioral

All subjects will undergo a baseline MRI and subjects in both alcohol groups (alcohol use disorder and combined alcohol and nicotine use disorder) will undergo a followup MRI 3 months after baseline.

Primary outcomes

  1. Brain Activation During Functional Magnetic Resonance Imaging (fMRI) in Response to a Stress Modulated Cue Induced Craving Task (DSNBACK)

    Time frame: Baseline

    The DSN-back is a cognitive task used to assess working memory and attention. Participants view a sequence of letters presented on a screen, flanked by either drug-related or neutral images, and are instructed to identify matches occurring N steps earlier. Neural activation during high working memory demand condition (2-back) relative to the low working memory condition (0-back) was investigated. Inconsistent activation patterns across regions may indicate impaired neural processing in regions critical for cognitive control, emotion regulation, and reward processing, commonly reported in substance use disorders. Values closer to 0 (no change) in regions responsible for emotion regulation and cognitive control (e.g., Amygdala, ACC) may indicate reduced task-specific engagement where drug-related processes may be dominating neural activity.

  2. Brain Activation During Resting State MRI.

    Time frame: Baseline

    This outcome measures resting-state functional connectivity (rsFC) of the striatum using seed-based analysis of resting-state fMRI data. FC values, expressed as Fisher z-transformed correlation coefficients, quantify the strength of synchronization between the striatum seed region and other brain areas. Positive values indicate synchronized activity, while negative values reflect anticorrelation. Altered rsFC of the striatum, a hub for reward processing, habit formation, and executive control, is linked to alcohol and nicotine use disorders and may indicate impaired regulation of cravings and heightened sensitivity to substance-related cues. Investigating rsFC patterns may identify biomarkers of addiction severity, predict treatment outcomes, and inform potential therapeutic targets.

  3. Brain Cortical Thickness Assessed During MRI

    Time frame: Baseline

    This outcome measures cortical thickness (millimeters) across brain regions using structural MRI. Cortical thickness reflects the integrity of gray matter and is influenced by factors such as neurodegeneration, plasticity, and development. Reductions in cortical thickness, particularly in prefrontal and limbic regions, are associated with impaired cognitive control, emotion regulation, and decision-making in substance use disorders.

  4. Brain White Matter Integrity as Assessed by Fractional Anisotropy During MRI

    Time frame: Baseline

    Fractional Anisotropy (FA) is a scalar metric derived from diffusion-weighted MRI that quantifies the degree of directional dependence (anisotropy) of water diffusion in brain white matter, with values ranging from 0 (isotropic diffusion) to 1 (maximally anisotropic diffusion). Increases in FA may reflect greater white matter organization and integrity, while decreases often indicate microstructural damage, demyelination, or axonal loss. FA measurements were averaged within predefined regions of interest (ROIs) to assess the integrity of white matter in various brain regions associated with cognitive, motor, and emotional processing. Decreased FA in tracts such as the corpus callosum or prefrontal pathways may reflect impaired communication between brain regions involved in reward processing and cognitive control in substance use disorders.

Sponsors and collaborators

Lead sponsor

VA Office of Research and Development

Fed

Collaborators

  • Oregon Health and Science University

Registry information

Acronym: NAUD

Important dates

Study start
2018
Primary completion
2023
Study completion
2023
First posted
Nov 9, 2017
Registry last updated
Feb 13, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

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This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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