Neurofeedback training for alcohol dependence versus treatment as usual: study protocol for a randomized controlled...

Area of Science:

• Neuroscience
• Addiction Medicine
• Psychiatry

Background:

• Alcohol dependence relapse is a significant clinical challenge.
• Real-time functional magnetic resonance imaging (rtfMRI) is an emerging technique for neurofeedback training (NFT).
• Preliminary findings suggest NFT's potential in symptom management.

Purpose of the Study:

• To evaluate the efficacy of rtfMRI NFT for relapse prevention in alcohol-dependent patients.
• To determine if rtfMRI NFT can train patients to regulate brain activation in response to alcohol cues and goal-related imagery.
• To assess if learned brain regulation translates to reduced alcohol consumption.

Main Methods:

• Alcohol-dependent patients completing detoxification were randomized into an rtfMRI NFT group or a control group.
• The rtfMRI NFT group received six NFT sessions over four months.
• Outcome measures included brain imaging data, percentage of days abstinent, drinks per drinking day, and percentage of heavy drinking days, assessed at baseline, during treatment, and at 8 and 12 months.

Main Results:

• Primary outcome measures focus on functional brain imaging data and continuous variables of alcohol consumption.
• Statistical analyses using general linear models will compare the NFT and control groups.
• The study aims to identify improvements in alcohol consumption from pretreatment levels.

Conclusions:

• rtfMRI NFT presents a novel therapeutic approach for alcohol dependence relapse prevention.
• This research holds promise for developing effective interventions to combat alcohol relapse.
• Further evaluation is needed to confirm the long-term impact of rtfMRI NFT.