The purpose of the present study is to characterize the integrity of neural processes underlying the monitoring of one's own and another's behavior within cocaine-dependent individuals, and to explore the relationship between the functionality of these processes and dopamine transporter and receptor polymorphisms. The ability to monitor one's own behavior serves as a central component of executive control, promoting adaptation in accord with environmental concerns, and preventing perseveration on dysfunctional action patterns. Cocaine dependent populations show deficits in executive control that may underlie their difficulty remaining abstinent by reducing the efficacy of top-down control mechanisms to guide appropriate goal-direction. Electrophysiological indicators of error monitoring have been localized within the anterior cingulate and are believed reliant on appropriate mesolimbic dopaminergic flow to the anterior cingulate. Chronic cocaine use has been linked to reduced dopaminergic tone in the anterior cingulate, potentially due to increased dopamine transporter availability and/or reduced D2 receptor binding. Chronic cocaine use may, then, attenuate error processing by interfering with dopamine-mediated monitoring performance. A similar error-related electrophysiological signature has been documented that occurs when one views another person make a mistake. This observer error-related negativity (oERN) appears well positioned to act as an underlying indicator of empathic concern. The ability to monitor another's behavior, in turn, may serve as the basis for observational learning, and may be influenced by characteristics such as perspective-taking ability and level of empathic concern. Low empathic concern may explain the high comorbidity with externalizing disorders within drug-abusing populations. The Mind Research Network has recently acquired a state-of-the-art mobile MRI scanner, which has been used to collect brain imaging data from over 700 inmates in the first two years of deployment. Clinical data indicates that over 65% of inmates suffer from serious substance abuse issues. The deployment of this mobile MRI system thus provides unprecedented access to a population of serious cocaine abusers with comorbid externalizing characteristics. With this access, we propose to collect multimodal (EEG/fMRI) data on 300 incarcerated participants, stratified into cocaine-abusing and non-cocaine-abuse groups, during performance of, and the observation of, a go/no-go response-inhibition task designed to elicit errors. Electrophysiological indicators of error monitoring will be computed from brain potential data, while hemodynamic activity from the anterior cingulate will be computed from the fMRI data. Saliva samples will also be collected from cocaine-dependent and matched healthy participants for investigation of dopamine transporter (SLC6A3) and receptor (DRD2 and DRD4) genotypes. Six-, 12- 18- and 24-month follow-up appointments will be used to evaluate relapse through analysis of hair and urine samples. The data obtained through this project will serve as the largest and most comprehensive investigation of cognitive and affective abnormalities within a sample of serious cocaine abusers, and the first major investigation into the relationship between these cognitive/affective abnormalities and dopaminergic polymorphisms. The research will thus provide important information regarding the neurocognitive and genetic underpinnings of cocaine dependency, and will serve as a gateway towards the development of future clinical treatment protocols. The ultimate mission of The Mind Research Network is the development of novel treatment programs for serious psychological and mental disorders, and our group envisions the data collected from this research as an important step towards future work focused on therepeutic and treatment applications.

Public Health Relevance

The chronic and repetative nature of drug-addiction suggests that drug-dependent individuals may have difficulty identifying and correcting maladaptive behavioral patterns. The ability to distinguish adaptive from maladaptive behaviors may occur through simple trial-and-error, or through the observation of another's successes and failures. The present study seeks to investigate the integrity of these two action-monitoring processes, and to better characterize their neurobiological and genetic underpinnings, by collecting electrophysiological (EEG), functional magnetic resonance imaging (fMRI), and genomic data from an sample of incarcerated cocaine-dependent individuals. The results of this work will aid delineation of mechanisms of addiction and dependency, and will provide a gateway towards the development of novel treatment opportunities capable of targeting these damaged cognitive capacities.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
5R01DA026964-04
Application #
8449751
Study Section
Adult Psychopathology and Disorders of Aging Study Section (APDA)
Program Officer
Gordon, Harold
Project Start
2010-08-01
Project End
2015-03-31
Budget Start
2013-04-01
Budget End
2014-03-31
Support Year
4
Fiscal Year
2013
Total Cost
$550,507
Indirect Cost
$217,673
Name
The Mind Research Network
Department
Type
DUNS #
098640696
City
Albuquerque
State
NM
Country
United States
Zip Code
87106
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
Abe, Nobuhito; Greene, Joshua D; Kiehl, Kent A (2018) Reduced engagement of the anterior cingulate cortex in the dishonest decision-making of incarcerated psychopaths. Soc Cogn Affect Neurosci 13:797-807
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
Maurer, J Michael; Steele, Vaughn R; Edwards, Bethany G et al. (2016) Dysfunctional error-related processing in female psychopathy. Soc Cogn Affect Neurosci 11:1059-68
Baskin-Sommers, Arielle R; Neumann, Craig S; Cope, Lora M et al. (2016) Latent-variable modeling of brain gray-matter volume and psychopathy in incarcerated offenders. J Abnorm Psychol 125:811-7
Fede, Samantha J; Borg, Jana Schaich; Nyalakanti, Prashanth K et al. (2016) Distinct neuronal patterns of positive and negative moral processing in psychopathy. Cogn Affect Behav Neurosci 16:1074-1085
Krusemark, Elizabeth A; Kiehl, Kent A; Newman, Joseph P (2016) Endogenous attention modulates early selective attention in psychopathy: An ERP investigation. Cogn Affect Behav Neurosci 16:779-88
Fede, Samantha J; Harenski, Carla L; Schaich Borg, Jana et al. (2016) Abnormal fronto-limbic engagement in incarcerated stimulant users during moral processing. Psychopharmacology (Berl) 233:3077-87

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