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Updated: Jan 13, 2026

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Disruption of Frontal Lobe Neural Synchrony During Cognitive Control by Alcohol Intoxication
Published on: February 6, 2019
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Neural Response to Theta-Burst Stimulation Predicts Long-Term Relapse in Patients With Alcohol Use Disorder: A Pilot
Jing-Nan Zhao1, Chu-Yue Zhao2, Ying-Ying Li1
1The First Specialized Hospital of Harbin City, Harbin, China.
Addiction Biology
|January 12, 2026
Summary
Continuous theta-burst stimulation (cTBS) targeting the right dorsolateral prefrontal cortex reduced relapse risk in alcohol use disorder (AUD) patients. This brain stimulation approach offers a promising avenue for addiction treatment and relapse prevention.
Area of Science:
- Neuroscience
- Addiction Medicine
- Neuromodulation
Background:
- Alcohol use disorder (AUD) is associated with high relapse rates, often triggered by alcohol-related cues.
- Prefrontal-subcortical network dysregulation is implicated in cue-induced cravings and relapse in AUD.
- Non-invasive brain stimulation techniques are being explored to modulate neural circuits involved in addiction.
Purpose of the Study:
- To investigate the neurobiological effects of inhibitory continuous theta-burst stimulation (cTBS) targeting the right dorsolateral prefrontal cortex (rDLPFC) in patients with AUD.
- To assess the impact of rDLPFC-cTBS on neural responses to alcohol cues using fMRI.
- To evaluate the efficacy of rDLPFC-cTBS in reducing relapse rates over a 12-month follow-up period.
Main Methods:
- A randomized, double-blind, sham-controlled trial involving 28 AUD patients.
- Participants received 10 sessions of either active rDLPFC-cTBS or sham stimulation.
- fMRI scans were conducted pre- and post-intervention to measure brain activity in response to alcohol cues.
- Relapse was monitored for 12 months post-intervention.
Main Results:
- The active cTBS group showed a significantly lower risk of relapse compared to the sham group (HR = 0.210).
- Active cTBS prevented cue-induced hyperactivity in the right superior frontal gyrus, indicating network stabilization.
- A machine learning model accurately predicted long-term relapse based on intervention-induced neural activity changes (78.7% accuracy, AUC = 0.903).
- Increased post-intervention reactivity in the left medial prefrontal cortex was the strongest predictor of relapse.
Conclusions:
- rDLPFC-cTBS effectively modulates craving-related neural circuits in AUD patients.
- Dynamic neural responses to treatment serve as a potent biomarker for predicting long-term relapse.
- These findings support the development of personalized addiction medicine strategies using neuromodulation.
Keywords:
alcohol use disordercontinuous theta‐burst stimulationcravingdorsolateral prefrontal cortexfMRI
