Early and habitual alcohol use is prodromal to alcohol dependence. Multiple factors including genetics and environment contribute to early and habitual drinking. Numerous studies have suggested cerebral structures and functions as an intermediate phenotype of alcohol misuse and vulnerability to alcohol dependence. On the other hand, while there is abundant information on how cerebral structures and functions are altered as a result of chronic alcohol use, little is known about these influences in non-dependent early and habitual drinking. In particular, what are the neural correlates that would predict increase in problem drinking and the quantity and frequency of alcohol use in non-dependent individuals? To address this question, we propose to recruit a large sample of early alcohol drinkers for magnetic resonance imaging (MRI) studies and clinical follow-up. Volunteers will undergo detailed medical and psychiatric assessments including their drinking behaviors, participate in MRI studies to evaluate cerebral structures (voxel-based morphometry or VBM), white matter integrity (diffusion tensor imaging or DTI), and functions of the component processes of cognitive control and alcohol cue reactivity (functional MRI or fMRI). We will engage all participants in a two-year clinical follow-up with tri-monthly assessments of their drinking behaviors. Head hair ethyl glucuronide will be quantified at baseline and every other follow-up, as a complementary index of alcohol consumption. For each of these neural measures, we will examine how they predict changes in drinking behavior, both independently and synergistically. Our overarching goal is to identify cerebral endophenotypes that best describe non-dependent early, habitual drinking and predict changes in problem drinking as well as the frequency and quantity of drinking. The potential findings would characterize the circuit biomarkers of early habitual drinking at a level of details that are critically needed and yet not currently available. Most importantly, these neural markers would help identify and facilitate early intervention for individuals at risk of developing heavy drinking and alcohol dependence.

Public Health Relevance

Alcohol dependence is often preceded by a period of non-dependent habitual drinking. Current research has provided much information on how brain structures and functions are altered in individuals who are dependent drinkers, but far less is known about these cerebral processes in non-dependent drinkers. Combining brain imaging and prospective clinical assessments, we could identify these neural markers and individuals at risk of developing alcohol dependence.

Agency
National Institute of Health (NIH)
Institute
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Type
Research Project (R01)
Project #
1R01AA021449-01A1
Application #
8503268
Study Section
Neural Basis of Psychopathology, Addictions and Sleep Disorders Study Section (NPAS)
Program Officer
Matochik, John A
Project Start
2013-09-05
Project End
2018-08-31
Budget Start
2013-09-05
Budget End
2014-08-31
Support Year
1
Fiscal Year
2013
Total Cost
$245,302
Indirect Cost
$69,686
Name
Yale University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
Mackey, Scott; Allgaier, Nicholas; Chaarani, Bader et al. (2018) Mega-Analysis of Gray Matter Volume in Substance Dependence: General and Substance-Specific Regional Effects. Am J Psychiatry :appiajp201817040415
Peterson, Andrew C; Li, Chiang-Shan R (2018) Noradrenergic Dysfunction in Alzheimer's and Parkinson's Diseases-An Overview of Imaging Studies. Front Aging Neurosci 10:127
Zhornitsky, Simon; Ide, Jaime S; Wang, Wuyi et al. (2018) Problem Drinking, Alcohol Expectancy, and Thalamic Resting-State Functional Connectivity in Nondependent Adult Drinkers. Brain Connect 8:487-502
Ide, Jaime S; Zhornitsky, Simon; Chao, Herta H et al. (2018) Thalamic Cortical Error-Related Responses in Adult Social Drinkers: Sex Differences and Problem Alcohol Use. Biol Psychiatry Cogn Neurosci Neuroimaging 3:868-877
Yoo, Kwangsun; Rosenberg, Monica D; Hsu, Wei-Ting et al. (2018) Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets. Neuroimage 167:11-22
Ide, Jaime S; Li, Chiang-Shan R (2018) Time scale properties of task and resting-state functional connectivity: Detrended partial cross-correlation analysis. Neuroimage 173:240-248
Hu, Sien; Ide, Jaime S; Chao, Herta H et al. (2018) Resting state functional connectivity of the amygdala and problem drinking in non-dependent alcohol drinkers. Drug Alcohol Depend 185:173-180
Hu, Sien; Ide, Jaime S; Chao, Herta H et al. (2018) Structural and functional cerebral bases of diminished inhibitory control during healthy aging. Hum Brain Mapp 39:5085-5096
Xiao, Ting; Zhang, Sheng; Lee, Lue-En et al. (2018) Exploring Age-Related Changes in Resting State Functional Connectivity of the Amygdala: From Young to Middle Adulthood. Front Aging Neurosci 10:209
Peterson, Andrew C; Zhang, Sheng; Hu, Sien et al. (2017) The Effects of Age, from Young to Middle Adulthood, and Gender on Resting State Functional Connectivity of the Dopaminergic Midbrain. Front Hum Neurosci 11:52

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