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.
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.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
NONE
Presentation of images that may induce craving for alcohol. Recording of brain activity
Questionnaires related to alcohol, quality of life, anxiety and depression
Source connectivity within large-scale brain networks
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)).
Time frame: 1 day
Variation in source connectivity based on AUQ
Significant difference in source connectivity between patients and volunteers based on Alcohol Urge Questionnaire (AUQ,easures craving in patients with alcohol dependence; Each item is scored on a 1 to 7 scale (Strongly Disagree = 1 and Strongly Agree = 7). Items 2 and 7 are reverse scored. A total score is computed by averaging the item scores. Higher scores reflect greater craving.
Time frame: 1 day
Variation in source connectivity based on OCDS
Significant difference in source connectivity between patients and volunteers based on Obsessive Compulsive Drinking Scale (OCDS , allows to obtain a global alcohol appetite score and to evaluate the craving, in 14 items with a compulsion sub-score and an obsessional sub-score. Higher scores reflect greater craving.
Time frame: 1 day
Variation in source connectivity based on psychological state
Significant difference in source connectivity between patients and volunteers based on Hospital Anxiety and Depression scale (HAD , allows to obtain a anxiety score and a depression score to evaluate psychological state. Two subscores, one for anxiety and one for depression. Higher sub-scores reflect higher anxiety or depression.
Time frame: 1 day
Correlation between brain networks estimated by HRE and AUQ and OCDS scores
Correlation between brain networks estimated by EEG-HR and AUQ and OCDS scores at 6 months only in patients
Time frame: 6 months
Correlation between EEG-HR and fMRI networks at inclusion
Correlation between EEG-HR and fMRI networks at inclusion in patients and healthy volunteers
Time frame: 1 day
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