Abstract

Heavy cocaine users who repeatedly fail in treatment account for a disproportionately large share of cocaine consumption and associated demand of community health resources. We have recently developed a tailored cognitive behavioral treatment protocol for the treatment of cocaine abuse. In a large study (n=157), our tailored treatment protocol, Substance Expectation Therapy (SET), was compared to Relapse Prevention (RP) and Addiction Counseling (AC) for the treatment of cocaine abuse (NIDA R01; PI Jaffe). SET was found to be superior to RP and AC for preventing relapse in cocaine abusers. A major aim of this proposal is to replicate the efficacy of SET for the treatment of cocaine abusers. A second major aim of this proposal is to build upon research that has shown abnormalities in the brain's response to distracting stimuli predicts relapse in cocaine abusers. We will use multimodal brain imaging, combined with advanced image processing techniques, including Independent Components Analyses, to further delineate the neurocognitive systems that convey risk for relapse in cocaine abusers. In addition, this proposal will examine changes in neurocognitive systems associated response inhibition, deviance detection, salient stimulus processing and expectancy across the three treatment protocols (SET, RP, and AC). Our primary hypotheses are that SET will be superior to RP and AC for preventing relapse in cocaine abuses. It is also hypothesized that multimodal, compared to unimodal, brain imaging will convey superior predictive power for assessing relapse in cocaine abusers. Finally, we hypothesize that SET therapy will show increased modulation in the brain systems associated with inhibitory processing and expectancy over the course of the 12 week treatment protocol. In summary, the results of this proposal will test the efficacy of SET therapy compared to RP and AC, will further delineate the functional architecture underlying risk for relapse in cocaine abusers, and will examine neuronal changes associated with tailored cognitive-behavioral therapy.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
7R01DA020870-03
Application #
7413898
Study Section
Special Emphasis Panel (ZDA1-MXS-M (21))
Program Officer
Grant, Steven J
Project Start
2005-09-30
Project End
2010-07-31
Budget Start
2007-04-01
Budget End
2007-07-31
Support Year
3
Fiscal Year
2006
Total Cost
$458,398
Indirect Cost

  Institution

Name
The Mind Research Network
Department
Type
DUNS #
098640696
City
Albuquerque
State
NM
Country
United States
Zip Code
87106

  Publications

Anderson, Nathaniel E; Harenski, Keith A; Harenski, Carla L et al. (2018) Machine learning of brain gray matter differentiates sex in a large forensic sample. Hum Brain Mapp :
Crooks, Dana; Anderson, Nathaniel E; Widdows, Matthew et al. (2018) The relationship between cavum septum pellucidum and psychopathic traits in a large forensic sample. Neuropsychologia 112:95-104
Espinoza, Flor A; Vergara, Victor M; Reyes, Daisy et al. (2018) Aberrant functional network connectivity in psychopathy from a large (N = 985) forensic sample. Hum Brain Mapp 39:2624-2634
Steele, Vaughn R; Maurer, J Michael; Arbabshirani, Mohammad R et al. (2018) Machine Learning of Functional Magnetic Resonance Imaging Network Connectivity Predicts Substance Abuse Treatment Completion. Biol Psychiatry Cogn Neurosci Neuroimaging 3:141-149
Fink, Brandi C; Steele, Vaughn R; Maurer, Michael J et al. (2016) Brain potentials predict substance abuse treatment completion in a prison sample. Brain Behav 6:e00501
Caldwell, Brendan M; Harenski, Carla L; Harenski, Keith A et al. (2015) Abnormal frontostriatal activity in recently abstinent cocaine users during implicit moral processing. Front Hum Neurosci 9:565
Walters, Glenn D; Ermer, Elsa; Knight, Raymond A et al. (2015) Paralimbic biomarkers in taxometric analyses of psychopathy: does changing the indicators change the conclusion? Personal Disord 6:41-52
Freeman, Scott M; Clewett, David V; Bennett, Craig M et al. (2015) The posteromedial region of the default mode network shows attenuated task-induced deactivation in psychopathic prisoners. Neuropsychology 29:493-500
Steele, Vaughn R; Fink, Brandi C; Maurer, J Michael et al. (2014) Brain potentials measured during a Go/NoGo task predict completion of substance abuse treatment. Biol Psychiatry 76:75-83
Ermer, Elsa; Cope, Lora M; Nyalakanti, Prashanth K et al. (2012) Aberrant paralimbic gray matter in criminal psychopathy. J Abnorm Psychol 121:649-58

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