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180 active trials for Alcohol Use Disorder

VRT as a Biomarker of Cerebellar Dysfunction in Chronic Cannabis Use

Chronic cannabis consumption has been associated with poor psychosocial functioning that could be associated to cerebellar dysfunction. The cerebellum has a relevant role in adaptation processes and has a high density of cannabinoid 1 receptor (CB1R). Implicit motor learning is a cerebellum dependent function that can be measured with a visuomotor rotation task (VRT). The project aims to identify a sensitive and specific biomarker of cerebellum dysfunction in chronic cannabis users. The investigators would like to demonstrate that the visuomotor rotation paradigm is valid to measure and quantify such a dysfunction. A longitudinal prospective study with a 3 month follow-up is proposed. 3 groups will be included: 1) chronic cannabis users; 2) individuals with an alcohol use disorder; and 3) healthy controls. All groups will be matched by sex and age. Forty individuals will be included in each group. Individuals will be assessed at baseline, at first month and at 3-months of follow-up. Sociodemographic and clinical data will be recorded. Information on cannabis consumption will be registered using an App. Participants will do the visuomotor rotation task and answer three questionnaires: the Intrinsic Motivation Inventory, the Scale for the assessment and rating of ataxia (SARA) and the Harris tests for lateral dominance. The biomarker developed by this project will facilitate the detection of cerebellar alterations in chronic cannabis users, and will permit to quantify and monitor such alteration over time. The team's intention is to patent the proposed model and disseminate it in order to use it in clinical practice at both primary and specialized health centres.

Start: September 2019
A Study of New Treatment for Excessive Alcohol Users by Electric Stimulation of Nerves Around Ear

Alcohol Use Disorders (AUD's) are a major health and social problem. Relapse is a rule rather than an exception in alcohol dependence, leading to poor outcomes. Craving are frequently associated with relapse. Keeping in mind the high burden of disease due to AUD, limited efficacy of available treatment modalities it is important to study new treatment modalities. Vagus nerve stimulation (VNS) is a promising neuromodulation technique with robust evidence in epilepsy and treatment-resistant depression. fMRI studies show that transcutaneous VNS (tVNS) replicates most of the biological effects of VNS with an additional advantage of being non-invasive. Percutaneous Electrical Neural Field Stimulation (PENFS) of auricular branch of vagus nerve is a variant of tVNS which has shown promise in the treatment of opioid withdrawal. The efficacy of PENFS has been evaluated in AUDs in only handful of studies. I propose to employ a double-blind randomized sham-controlled trial where 40 subjects with AUD will be randomized to 2 groups, with 1 group receiving 'Active' auricular PENFS, and another group receiving bilateral 'sham' auricular PENFS. Assessments will be carried out at baseline and after 15 days of advent of PENFS on tasks to assess craving, along with neurohemodynamic changes on functional Magnetic Resonance Image (fMRI). Follow up of patients will be done till the first relapse or till 3 months after the post evaluation, whichever is earlier. The investigator's hypotheses are: Active PENFS will lead to significantly greater improvement in subjective craving and drinking-related outcomes as compared to sham PENFS in patients with AUD over the follow-up period of 3 months. Active PENFS will produce a significantly differential Blood Oxygen Level Dependent (BOLD) activation-deactivation pattern of brain regions (greater activation of dorsolateral prefrontal cortex and anterior cingulate cortex and along with deactivation of insular cortex) associated with craving during a cue-induction paradigm as compared to sham PENFS in patients with AUD. Active PENFS will result in a significant differential change in resting-state functional connectivity (fMRI measured) within and between addiction-related neural networks as compared to sham PENFS as evaluated with a resting state fMRI analysis in patients with AUD.

Start: October 2019