Literature DB >> 25853901

Impaired functional connectivity within and between frontostriatal circuits and its association with compulsive drug use and trait impulsivity in cocaine addiction.

Yuzheng Hu1, Betty Jo Salmeron1, Hong Gu1, Elliot A Stein1, Yihong Yang1.   

Abstract

IMPORTANCE: Converging evidence has long identified both impulsivity and compulsivity as key psychological constructs in drug addiction. Although dysregulated striatal-cortical network interactions have been identified in cocaine addiction, the association between these brain networks and addiction is poorly understood.
OBJECTIVES: To test the hypothesis that cocaine addiction is associated with disturbances in striatal-cortical communication as captured by resting-state functional connectivity (rsFC), measured from coherent spontaneous fluctuations in the blood oxygenation level-dependent functional magnetic resonance imaging signal, and to explore the relationships between striatal rsFC, trait impulsivity, and uncontrolled drug use in cocaine addiction. DESIGN, SETTING, AND PARTICIPANTS: A case-control, cross-sectional study was conducted at the National Institute on Drug Abuse Intramural Research Program outpatient magnetic resonance imaging facility. Data used in the present study were collected between December 8, 2005, and September 30, 2011. Participants included 56 non-treatment-seeking cocaine users (CUs) (52 with cocaine dependence and 3 with cocaine abuse) and 56 healthy individuals serving as controls (HCs) matched on age, sex, years of education, race, estimated intelligence, and smoking status. MAIN OUTCOMES AND MEASURES: Voxelwise statistical parametric analysis testing the rsFC strength differences between CUs and HCs in brain regions functionally connected to 6 striatal subregions defined a priori.
RESULTS: Increased rsFC strength was observed predominantly in striatal-frontal circuits; decreased rsFC was found between the striatum and cingulate, striatal, temporal, hippocampal/amygdalar, and insular regions in the CU group compared with the HCs. Increased striatal-dorsal lateral prefrontal cortex connectivity strength was positively correlated with the amount of recent cocaine use (uncorrected P < .046) and elevated trait impulsivity in the CUs (uncorrected P < .012), and an index reflecting the balance between striatal-dorsal anterior cingulate cortex and striatal-anterior prefrontal/orbitofrontal cortex circuits was significantly associated with loss of control over cocaine use (corrected P < .012). CONCLUSIONS AND RELEVANCE: Cocaine addiction is associated with disturbed rsFC in several specific striatal-cortical circuits. Specifically, compulsive cocaine use, a defining characteristic of dependence, was associated with a balance of increased striatal-anterior prefrontal/orbitofrontal and decreased striatal-dorsal anterior cingulate connectivity; trait impulsivity, both a risk factor for and a consequence of cocaine use, was associated with increased dorsal striatal-dorsal lateral prefrontal cortex connectivity uniquely in CUs. These findings provide new insights toward the neurobiological mechanisms of addiction and suggest potential novel therapeutic targets for treatment.

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Year:  2015        PMID: 25853901     DOI: 10.1001/jamapsychiatry.2015.1

Source DB:  PubMed          Journal:  JAMA Psychiatry        ISSN: 2168-622X            Impact factor:   21.596


  80 in total

1.  Reward and executive control network resting-state functional connectivity is associated with impulsivity during reward-based decision making for cocaine users.

Authors:  Andréa L Hobkirk; Ryan P Bell; Amanda V Utevsky; Scott Huettel; Christina S Meade
Journal:  Drug Alcohol Depend       Date:  2018-10-24       Impact factor: 4.492

2.  Ventral striatal network connectivity reflects reward learning and behavior in patients with Parkinson's disease.

Authors:  Kalen Petersen; Nelleke Van Wouwe; Adam Stark; Ya-Chen Lin; Hakmook Kang; Paula Trujillo-Diaz; Robert Kessler; David Zald; Manus J Donahue; Daniel O Claassen
Journal:  Hum Brain Mapp       Date:  2017-10-31       Impact factor: 5.038

3.  White matter integrity in the fronto-striatal accumbofrontal tract predicts impulsivity.

Authors:  Toshikazu Ikuta; Alberto Del Arco; Katherine H Karlsgodt
Journal:  Brain Imaging Behav       Date:  2018-10       Impact factor: 3.978

4.  Salience and default mode network dysregulation in chronic cocaine users predict treatment outcome.

Authors:  Xiujuan Geng; Yuzheng Hu; Hong Gu; Betty Jo Salmeron; Bryon Adinoff; Elliot A Stein; Yihong Yang
Journal:  Brain       Date:  2017-05-01       Impact factor: 13.501

5.  Hypothesizing Music Intervention Enhances Brain Functional Connectivity Involving Dopaminergic Recruitment: Common Neuro-correlates to Abusable Drugs.

Authors:  Kenneth Blum; Thomas Simpatico; Marcelo Febo; Chris Rodriquez; Kristina Dushaj; Mona Li; Eric R Braverman; Zsolt Demetrovics; Marlene Oscar-Berman; Rajendra D Badgaiyan
Journal:  Mol Neurobiol       Date:  2016-05-31       Impact factor: 5.590

6.  Low distress tolerance predicts heightened drug seeking and taking after extended abstinence from cocaine self-administration.

Authors:  Travis M Moschak; Douglas R Terry; Stacey B Daughters; Regina M Carelli
Journal:  Addict Biol       Date:  2017-01-11       Impact factor: 4.280

Review 7.  Effect of cocaine dependence on brain connections: clinical implications.

Authors:  Liangsuo Ma; Joel L Steinberg; F Gerard Moeller; Sade E Johns; Ponnada A Narayana
Journal:  Expert Rev Neurother       Date:  2015-10-29       Impact factor: 4.618

8.  Impaired frontostriatal functional connectivity among chronic opioid using pain patients is associated with dysregulated affect.

Authors:  Patrick A McConnell; Eric L Garland; Jon-Kar Zubieta; Roger Newman-Norlund; Shannon Powers; Brett Froeliger
Journal:  Addict Biol       Date:  2019-04-04       Impact factor: 4.280

Review 9.  Functional Neurocircuits and Neuroimaging Biomarkers of Tobacco Use Disorder.

Authors:  Matthew T Sutherland; Elliot A Stein
Journal:  Trends Mol Med       Date:  2018-02       Impact factor: 11.951

10.  Connectome-Based Prediction of Cocaine Abstinence.

Authors:  Sarah W Yip; Dustin Scheinost; Marc N Potenza; Kathleen M Carroll
Journal:  Am J Psychiatry       Date:  2019-01-04       Impact factor: 18.112

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