While there are as of yet no FDA-approved medications for cocaine dependence, behavioral therapies such as cognitive-behavioral therapy (CBT) have strong empirical support as well as durability of effects. Evaluation of neurobiological factors is a promising strategy for evaluating mechanisms of empirically supported therapies, as well as for identifying potentially novel targets for treatment development. We propose to add three imaging sessions (pre-treatment, post-treatment, and 6-month follow-up) to a recently initiated randomized clinical trial evaluating two forms of CBT (therapist- and computer-delivered) versus manual-guided standard counseling for 96 cocaine-dependent individuals drawn from the parent trial. Using hypotheses derived from preliminary data using the proposed tasks (Stroop Color-Word Interference and Monetary Incentive Delay Tasks) and measures (white matter integrity, regional brain volumes and resting state brain function), we will: 1) investigate the extent to which the baseline measures of the imaging tasks predict treatment outcomes;2) evaluate changes in fMRI measures from pre- to post-treatment (baseline to 12 weeks) and by treatment condition (CBT versus standard counseling);3) examine the relationship of within- treatment change in brain activation to 6-month follow-up outcomes (with an emphasis on understanding CBT's durability and """"""""sleeper"""""""" effect);and 4) investigate the relationships between brain activations and CBT """"""""dosing"""""""" (CBT sessions and homework completed). This project leverages a rare opportunity to evaluate neural mechanisms of action associated with addiction treatment in general and CBT in particular, as well as a unique opportunity to examining neural factors related to the durability of effects (""""""""sleeper"""""""" effects) in CBT. Demonstration of durable changes in brain activation paralleling CBT-related improvements in cognitive control would represent an important step in elucidating and strengthening treatment effects, as well as understanding CBT's mechanisms of action, enabling clinicians to target specific skills and strategies to the individuals most likely to beneit from them.
This project proposes to leverage yield from an existing clinical trial comparing efficacy of a novel computer- delivered cognitive-behavioral therapy with demonstrated efficacy to clinician-delivered CBT and a manualized drug treatment control by adding multiple neuroimaging assessments at pre-treatment, post-treatment and follow-up. The goal of this project is to identify neurobiological correlates of treatment outcome and response, and to extend our understanding of CBT's mechanism of action and durability, with the long-range aim of maximizing the effectiveness of this form of treatment.
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|Yip, Sarah W; Potenza, Marc N (2016) Application of Research Domain Criteria to childhood and adolescent impulsive and addictive disorders: Implications for treatment. Clin Psychol Rev :|
|Ren, Yudan; Fang, Jun; Lv, Jinglei et al. (2016) Assessing the effects of cocaine dependence and pathological gambling using group-wise sparse representation of natural stimulus FMRI data. Brain Imaging Behav :|
|Morie, Kristen P; Yip, Sarah W; Nich, Charla et al. (2016) Alexithymia and Addiction: A Review and Preliminary Data Suggesting Neurobiological Links to Reward/Loss Processing. Curr Addict Rep 3:239-248|
|Yip, Sarah W; DeVito, Elise E; Kober, Hedy et al. (2016) Anticipatory reward processing among cocaine-dependent individuals with and without concurrent methadone-maintenance treatment: Relationship to treatment response. Drug Alcohol Depend 166:134-42|
|Zhang, Jin-Tao; Yao, Yuan-Wei; Potenza, Marc N et al. (2016) Altered resting-state neural activity and changes following a craving behavioral intervention for Internet gaming disorder. Sci Rep 6:28109|
|Balodis, Iris M; Kober, Hedy; Worhunsky, Patrick D et al. (2016) Neurofunctional Reward Processing Changes in Cocaine Dependence During Recovery. Neuropsychopharmacology 41:2112-21|
|Potenza, Marc N (2015) Commentary on: Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research. Defining and classifying non-substance or behavioral addictions. J Behav Addict 4:139-41|
|Mei, Songli; Xu, Jiansong; Carroll, Kathleen M et al. (2015) Self-reported impulsivity is negatively correlated with amygdalar volumes in cocaine dependence. Psychiatry Res 233:212-7|
|Cui, Changhai; Noronha, Antonio; Warren, Kenneth R et al. (2015) Brain pathways to recovery from alcohol dependence. Alcohol 49:435-52|
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