Alcohol use disorders (AUDs) represent a major societal concern in terms of physical and psychological well-being as well as economic cost. Although recent research efforts have focused on mechanisms that account for the behavioral changes associated with successful treatment approaches for AUDs, future research must focus on novel ways to capitalize on these mechanisms. A growing research literature has indicated that level of impulse control is an important factor in the development, maintenance, and treatment of addictive disorders. Furthermore, our own research suggests that impulse control may serve as an important mechanism of change in the treatment of AUDs, with preliminary findings indicating significant associations between multiple aspects of impulse control and drinking during and after treatment. The next step in this line of research is to experimentally manipulate this potential mediator (i.e., impulse control) in the context of alcoholism treatment. Based on the extant literature, we believe heart rate variability (HRV) biofeedback to be a promising approach for influencing impulse control in the treatment context. A substantial literature exists on the benefits of increased HRV as well as HRV biofeedback in the context of a variety of medical and psychological conditions (e.g., asthma, depression, anxiety). It has also been suggested that HRV may serve as an index of self-regulation. For example, low HRV is typically associated with poor regulatory capacity and has been demonstrated in AUDs and other disorders typically characterized by a lack of impulse control. However, direct links between HRV and measures of impulse control have not been empirically and systematically examined. The present application represents the first step in an innovative line of research designed to focally enhance impulse control via HRV training in the context of treatment for alcohol dependence.
The aims of this R03 application are to better delineate the relation between HRV and impulse control in alcohol-dependent men and women and to provide preliminary/feasibility data for a future Stage I investigation of HRV training as an adjunct to alcohol dependence treatment. Participants will be thirty men and women in residential treatment for alcohol dependence. Impulse control will be assessed using self-report and behavioral measures taking into account the multi-dimensional nature of the impulsivity construct. Results from this study will significantly advance our understanding of impulse control and its relation to HRV and will inform the development of subsequent avenues of investigation concerning mechanisms of change in the treatment of AUDs.

Public Health Relevance

Alcohol use disorders are related to serious adverse physical, psychological, interpersonal, and economic effects. In an attempt to gain a better understanding of factors that impact treatment outcome, the current proposal aims to evaluate the relation between heart rate variability (HRV) and impulse control in men and women in treatment for alcoholism and provide feasibilty data for a future study that would incorporate HRV biofeedback as part of alcohol treatment. The overall goal of this line of research is to provide more effective treatment for alcohol dependence.

Agency
National Institute of Health (NIH)
Institute
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Type
Small Research Grants (R03)
Project #
1R03AA020925-01A1
Application #
8384078
Study Section
Health Services Research Review Subcommittee (AA)
Program Officer
Matochik, John A
Project Start
2012-07-01
Project End
2014-06-30
Budget Start
2012-07-01
Budget End
2014-06-30
Support Year
1
Fiscal Year
2012
Total Cost
$73,400
Indirect Cost
$23,400
Name
State University of New York at Buffalo
Department
Type
Organized Research Units
DUNS #
038633251
City
Buffalo
State
NY
Country
United States
Zip Code
14260
Quigley, Brian M; Houston, Rebecca J; Antonius, Daniel et al. (2018) Alcohol use moderates the relationship between symptoms of mental illness and aggression. Psychol Addict Behav 32:770-778
Li, Zhongwei; Yuan, Xiang; Cui, Xuerong et al. (2017) Optimal experimental conditions for Welan gum production by support vector regression and adaptive genetic algorithm. PLoS One 12:e0185942
Li, Zhongwei; Sun, Beibei; Xin, Yuezhen et al. (2016) A Computational Method for Optimizing Experimental Environments for Phellinus igniarius via Genetic Algorithm and BP Neural Network. Biomed Res Int 2016:4374603
Wang, Xun; Song, Tao; Gong, Faming et al. (2016) On the Computational Power of Spiking Neural P Systems with Self-Organization. Sci Rep 6:27624
Li, Hui; Jiao, Xue; Sun, Yajie et al. (2016) The preparation and characterization of a novel sphingan WL from marine Sphingomonas sp. WG. Sci Rep 6:37899
Sun, Shiwei; Dai, Xiaoyun; Sun, Jiao et al. (2016) A diketopiperazine factor from Rheinheimera aquimaris QSI02 exhibits anti-quorum sensing activity. Sci Rep 6:39637
Li, Zhongwei; Xin, Yuezhen; Wang, Xun et al. (2016) Optimization to the Culture Conditions for Phellinus Production with Regression Analysis and Gene-Set Based Genetic Algorithm. Biomed Res Int 2016:1358142
Li, Hui; Feng, Zhi-Mei; Sun, Ya-Jie et al. (2016) Draft Genome Sequence of Sphingomonas sp. WG, a Welan Gum-Producing Strain. Genome Announc 4: