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Acute Alcohol Response In Bipolar Disorder: a Longitudinal Alcohol Administration/fMRI Study

University of Texas at Austin · 2023
ClinicalTrials.gov · Datasets · License: Public Domain · 2023
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alcohol-drinkingalcohol-use-disorderbipolar-disorderna
Alcohol use disorders (AUDs) affect up to 60% of individuals with bipolar disorder during their lifetime and is associated with worse illness outcomes, yet few studies have been performed to clarify the causes of this comorbidity. Understanding biological risk factors that associate with and predict the development of AUDs in bipolar disorder could inform interventions and prevention efforts to reduce the rate of this comorbidity and improve outcomes of both disorders. Identifying predictors of risk requires longitudinal studies in bipolar disorder aimed at capturing the mechanisms leading to the emergence of AUDs. Previous work in AUDs suggest that subjective responses to alcohol and stress-related mechanisms may contribute to the development of AUDs. In bipolar disorder, altered developmental trajectory of critical ventral prefrontal networks that modulate mood and reward processing may alter responses to alcohol and stressors; consequently, the disruption in typical neurodevelopment may be an underlying factor for the high rates of comorbidity. No longitudinal data exist investigating if this developmental hypothesis is correct. To address this gap, the investigators will use a multimodal neuroimaging approach, modeling structural and functional neural trajectories of corticolimbic networks over young adulthood, incorporating alcohol administration procedures, clinical phenotyping, and investigating effects of acute stress exposure and early life stress. Research aims are to identify biological risk factors-i.e., changes in subjective response to alcohol and associated neural trajectories-that are associated with the development of alcohol misuse and symptoms of AUDs over a two-year longitudinal period in young adults with bipolar disorder and typical developing young adults. Longitudinal data will be collected on 160 young adults (50% with bipolar disorder, 50% female; aged 21-26). This study is a natural extension of the PI's K01 award. How acute exposure to st
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