Study of the Neural Substrates of Alcohol Craving by High-resolution Electroencephalography
试验速览
- 阶段
- 不适用
- 状态
- 撤回
- 发起方
- 主要终点
- Source connectivity within large-scale brain networks
研究概览
简要总结
Alcohol is the most consumed psychoactive substance in France and is responsible for 49,000 deaths per year in the country. Addictions, characterized by "the repeated impossibility of controlling a behavior and the continuation of this behavior despite the knowledge of its negative consequences", are a major public health issue in France and worldwide. Alcohol dependence (DSM-5 moderate to severe use disorder) is a chronic behavioral disorder, whose main characteristic is its high and prolonged risk of "relapse", i.e. the resumption of problematic consumption after a period of improvement (abstinence or reduction).
One of the main components of addiction is "craving", which can be defined as the irrepressible desire to use a substance (DSM-5, American Psychiatric Association). To date, despite functional imaging studies (fMRI), the brain mechanisms involved in craving remain poorly understood. In recent years, a new neuroimaging device has become available, both in research and in clinical settings: high-resolution electroencephalography (HRE). This non-invasive method allows to observe brain activity at the millisecond level.
The objective of the CRAVING-NET project is to better understand brain function in alcohol addiction, and in particular in craving.
详细描述
The objective of the CRAVING-NET project is to better understand brain function in alcohol addiction, and in particular in craving, using high-resolution electroencephalography. Brain activity following the induction of alcohol craving, as well as responses to questionnaires related to their relationship to alcohol and their state of health, which will be obtained in patients will be compared to the same responses in healthy volunteers.
研究设计
- 研究类型
- Interventional
- 分配方式
- Non Randomized
- 干预模型
- Parallel
- 主要目的
- Basic Science
- 盲法
- None
入排标准
- 年龄范围
- 30 Years 至 60 Years（Adult）
- 性别
- Male
- 接受健康志愿者
- 是
入选标准
- •Patients (N=20):
- •Subject with moderate to severe DSM-5 alcohol use disorder hospitalized for withdrawal as part of their routine care.
- •Presence of spontaneous and/or in response to environmental stimuli (induced) self-described episodes of craving.
- •Males with age ≥ 30 years and ≤ 60 years;
- •Normal or corrected-to-normal visual acuity (declarative);
- •Right-handed;
- •Healthy control volunteers (N=40):
- •Men with age ≥ 30 years and ≤ 60 years;
- •Normal or corrected-to-normal visual acuity;
- •Right-handed;
- •Smoker (current user, N=20) or Nonsmoker (never smoked, N=20);
- •Alcohol consumption below the low-risk drinking threshold (<10 standard drinks per week)
排除标准
- •For all subjects:
- •Alcohol use in the 24 hours prior to the experiment;
- •Consumption of psychoactive substances other than tobacco and alcohol (positive urine test).
- •Presence of a contraindication related to the MRI technique
- •Being under legal protection, and/or deprived of freedom;
- •Not mastering the French language (written and oral);
- •Inability to understand the information given on the study and/or to carry out the experimental task.
- •For patients:
- •Presence of cognitive impairment (MoCA score < 25)
- •Absence of spontaneous or induced craving episodes
- •Decompensated cirrhosis: ascites and/or encephalopathy and/or jaundice and/or recent hemorrhage
- •For healthy control volunteers:
- •Significant medical or surgical history related to the central nervous system;
- •Current use (< 30 days) of drugs affecting the central nervous system belonging to the class of antidepressants, sleeping pills and/or anxiolytics.
结局指标
主要结局
Source connectivity within large-scale brain networks
时间窗: 1 day
Difference in source connectivity within large-scale brain networks following the induction of craving episodes between alcohol-dependent patients and matched healthy participants (smokers and non-smokers). Source connectivity is measured by the strength of connections between brain regions (ratio value between 0 (no communication) and 1 (strong communication)).
次要结局
- Variation in source connectivity based on psychological state(1 day)
- Correlation between brain networks estimated by HRE and AUQ and OCDS scores(6 months)
- Correlation between EEG-HR and fMRI networks at inclusion(1 day)
- Variation in source connectivity based on AUQ(1 day)
- Variation in source connectivity based on OCDS(1 day)