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The Repair of Self Control in Alcohol Dependence: Working Memory & Real Time fMRI

The Repair of Self Control in Alcohol Dependence: Working Memory & Real Time fMRI
酒精依赖自我控制的修复:工作记忆
批准号:
8851460
负责人:
Warren K Bickel
金额:
$55.7万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-01 至 2016-05-31

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英文摘要
DESCRIPTION (provided by applicant): Alcohol-dependent individuals frequently have deficits in self-control, as measured by their excessive discounting of delayed rewards. The dual neurobehavioral decision systems model suggests that these deficits may result from a disruption in the regulatory balance between two interacting neurobiological systems. These systems are the executive system (prefrontal cortex and parietal cortex) which is responsible for valuing delayed rewards (i.e., long-term goals), and the impulsive system (limbic and paralimbic areas) which is associated with immediate rewards (i.e., instant gratification). Our recent research has demonstrated that working memory (WM) training repairs self-control, putatively by restoring regulatory balance between these systems. There is, however, still much to learn about repairing self-control. In Aim 1, we will further explore the effects WM training on a range of WM, self-control, and clinically relevant (e.g., craving) measures. Additionally, the neural mechanisms of WM training will be explored though functional neuroimaging techniques. We will examine the dose-effect function of WM training by systematically varying the number of WM training sessions across several groups of alcohol-dependent individuals. The duration of these improvements in self-control will be tested by conducting follow-up assessments one month, three months, and six months after training. In Aim 2 we plan to capitalize on the neurobiological knowledge gained in Aim 1 to test the effects of two variants of real time fMRI neuro-feedback on our suite of WM, self-control, and clinically significant measures. This novel exploration of neuro-feedback effects on neurocognitive and clinically significant measures will include a direct comparison of feedback techniques based on a specific brain region and across a distributed neural network. Long-term changes in neural function and/or our neurocognitive measures will be explored during a one-month follow-up visit. Successfully achieving our aims could allow us to both refine our current techniques (i.e., WM training), and possibly begin the process of developing novel techniques (i.e., neuro-feedback) for the repair of self-control in alcohol-dependent individuals. This application will contribute to personalized medicine approaches in alcohol dependence, where treatment is defined by documented self-control deficits. Furthermore, the functional neuroimaging data collected across both aims should provide unique insights into both patterns of neural disruption seen in alcohol dependence and any treatment associated changes in neural function.
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