Brain Functional Connectivity in Alcohol Use Disorder

NCT ID: NCT02877849

Last Updated: 2019-11-06

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 82 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2017-02-09
• Study Completion Date: 2019-10-31

Brief Summary

Due to the relapsing nature of alcoholism, excessive alcohol consumption represents a significant cost to US society ($249 billion in 20101). About 64% of those entering treatment will relapse within one year. New interventions targeting the underlying brain biomarkers of relapse vulnerability hold significant promise in reducing this critical public health problem. Using resting functional magnetic resonance imaging (fMRI) we have identified brain biomarkers that support long-term abstinence and brain biomarkers that predict relapse. Our data point to specific brain biomarkers that index higher relapse vulnerability at 11 weeks of abstinence. Many individuals, however, have already relapsed by this time. It is unknown whether these biomarkers can be identified earlier during the recovery period. We need to investigate whether this biomarker of relapse vulnerability can be identified during earlier stages of abstinence. Earlier identification of this biomarker will give valuable information for timely targeted interventions (e.g. closer monitoring, longer stay in treatment program, neuromodulation), increasing the chances of maintaining abstinence. The overall objective of this study is to identify biomarkers of relapse during early abstinence (2-3 weeks of abstinence). A secondary objective is to evaluate whether non-imaging measures such as craving6 and executive function7 add value to prediction models. Findings from this proposal will provide insight into the neurobiology of relapse vulnerability that will inform new treatment strategies needed to improve treatment outcome.

Detailed Description

BACKGROUND:

Due to the relapsing nature of alcoholism, excessive alcohol consumption represents a significant cost to US society ($249 billion in 2010). About 64% of those entering treatment will relapse within one year. Development of new and improved treatments that could be personalized to maximize the chance of maintaining abstinence in the first year will require advancement in understanding the behavioral and neural mechanisms underlying vulnerability to relapse during early abstinence. New interventions targeting the underlying brain biomarkers of relapse vulnerability hold significant promise in reducing this critical public health problem. Using resting functional magnetic resonance imaging (fMRI) we have identified brain biomarkers that support long-term abstinence and brain biomarkers that predict relapse. Our cross-sectional and longitudinal findings provide evidence that higher functional connectivity (FC), particularly between nucleus accumbens (NAcc) and dorsolateral prefrontal cortex (DLPFC) is a potential brain biomarker that supports abstinence. Resting NAcc-DLPFC FC is graded depending on abstinence length, with higher FC in long-term abstinent alcoholics (7 years of abstinence) than controls and intermediate FC in short-term abstinent alcoholics (11 weeks of abstinence). Further, lower NAcc-DLPFC FC at 11-weeks of abstinence can be a predictor of subsequent relapse (with 74% accuracy). Our data point to specific brain biomarkers that index higher relapse vulnerability at 11 weeks of abstinence. Many individuals, however, have already relapsed by this time and were not included in the studies above. It is unknown whether these biomarkers can be identified earlier during the recovery period. We need to investigate whether this biomarker of relapse vulnerability can be identified during earlier stages of abstinence. Earlier identification of this biomarker will give valuable information for timely targeted interventions (e.g. closer monitoring, longer stay in treatment program, neuromodulation), increasing the chances of maintaining abstinence.

PURPOSE OF THE STUDY:

Our long-term goal is to use identified brain and behavioral biomarkers to facilitate the development of new, personalized treatments that will support enduring abstinence in addiction. The overall objective of this study is to identify biomarkers of relapse during early abstinence (2-3 weeks of abstinence). A secondary objective is to evaluate whether non-imaging measures such as craving and executive function add value to prediction models. Findings from this study will provide insight into the neurobiology of relapse vulnerability that will inform new treatment strategies needed to improve treatment outcome.

SPECIFIC AIMS:

SA 1: To evaluate prediction accuracy of FC measures in individuals with alcohol use disorder (AUD) during early (2-3 weeks) abstinence. To evaluate whether non-imaging measures (e.g. craving, executive function) add value to FC prediction models we will test prediction models using (i) only imaging variables (FC during task and rest fMRI), (ii) only non-imaging variables, and (iii) a combination of imaging and non-imaging variables as predictors of time to relapse. Hypothesis: Based on compensatory mechanisms hypothesis, we expect that subsequent abstainers will have stronger NAcc-DLPFC FC when compared to subsequent relapsers and controls. Pilot data suggests that a combination of imaging and non-imaging variables will have high prediction accuracy. SA 2. To expand our examination of NAcc-DLPFC FC beyond resting state we will use the Reversal Learning (RL) task, which involves executive functioning and reward processing. Hypothesis: Pilot data suggests that subsequent abstainers will show higher task-related NAcc FC than relapsers and controls. Exploratory Aim: We will explore whether the strength of resting NAcc-DLPFC FC changes after performing the RL task. We will collect rest fMRI data before and after RL task performance in the scanner. Hypothesis: Based on previous findings of increased task-evoked activity in these regions, we hypothesize that patients will show increased resting NAcc-DLPFC FC after performing the RL task.

SIGNIFICANCE:

Addiction treatment outcomes are poor. Alcohol use disorder (AUD) in the U.S. remains an important public health problem with an estimated total annual cost to society of $249.5 billion. The chronic and relapsing nature of AUD is a major obstacle to successful recovery. We lack tools to subtype in alcohol use disorder (AUD). Subtyping in clinical populations can be an effective approach to model targeted interventions. For example, targeted treatment for breast cancer patients based on individual tumor estrogen receptor typing (biomarker) has improved outcomes from a 25 to 77% survival rate; there has not been a similar improvement in outcome for AUD treatment. We need to identify biomarkers in AUD that predict relapse and guide the development and selection of treatment based on subtypes to increase the chances of achieving long-term abstinence.

Conditions

Alcohol Use Disorder

Study Design

• Observational Model Type: CASE_CONTROL
• Study Time Perspective: OTHER

Study Groups

Individuals with Alcohol Use Disorder

Individuals with Alcohol Use Disorder will be recruited from Lodging Plus treatment program (Fairview Riverside Hospital, Minneapolis, MN). All patients will have between 2-3 weeks of abstinence from alcohol use. We will collect brain imaging data, this is an observational study.

MRI: Brain Imaging data collection

Intervention Type: DEVICE

This study has no intervention, it is observational. We will collect brain imaging data and behavioral assessments.

Healthy Volunteers

Healthy volunteers with comparable age and gender to the patient group will be recruited through community advertisements. We will collect brain imaging data, this is an observational study.

MRI: Brain Imaging data collection

Intervention Type: DEVICE

This study has no intervention, it is observational. We will collect brain imaging data and behavioral assessments.

Interventions

MRI: Brain Imaging data collection

This study has no intervention, it is observational. We will collect brain imaging data and behavioral assessments.

Intervention Type: DEVICE

Eligibility Criteria

Inclusion Criteria

• Age 18-60
• Ability to provide written consent and comply with study procedures
• Meet Diagnostic and Statistical Manual of Mental Disorders (DSM-V) criteria for Alcohol Use Disorder
• May have current comorbid drug use, but primary substance use disorder diagnosis needs to be based on alcohol use
• Must be enrolled in Lodging Plus (Fairview Riverside) treatment program
• Must have the intention to remain in program until the end of the study

• Age 18-60
• Ability to provide written consent and comply with study procedures

Exclusion Criteria

• Any medical condition or treatment with neurological sequelae (i.e. stroke, tumor, loss of consciousness>30 min, HIV)
• Any MRI scanning contraindications (i.e., metal implants, pacemakers, etc.)
• DSM-V criteria for psychiatric disorder, may have a lifetime but not current diagnosis of depression
• Primary current substance use disorder diagnosis on a substance other than alcohol except for caffeine or nicotine
• Clinical evidence for Wernicke-Korsakoff syndrome

Healthy controls

• Any medical condition or treatment with neurological sequelae (i.e. stroke, tumor, loss of consciousness>30 min, HIV)
• Any MRI scanning contraindications (i.e., metal implants, pacemakers, etc.)
• DSM-V criteria for psychiatric disorder, may have a lifetime but not current diagnosis of depression
• Primary current substance use disorder diagnosis on any substance such as alcohol, stimulant, opioids, etc. except for caffeine or nicotine

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 60 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

University of Minnesota

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Locations

University of Minnesota

Minneapolis, Minnesota, United States

Countries

United States

Other Identifiers

1606M89781

Identifier Type: -

Identifier Source: org_study_id