Literature DB >> 34753083

Longitudinal changes in network engagement during cognitive control in cocaine use disorder.

Kristen P Morie1, Elise E DeVito2, Marc N Potenza3, Patrick D Worhunsky2.   

Abstract

BACKGROUND: Cocaine use disorder (CUD) is characterized by poor cognitive control and has limited empirically supported treatment options. Furthermore, an understanding of brain mechanisms underlying CUD is at a relatively early stage. Thus, this study aimed to investigate longitudinal alterations in functional neural networks associated with cognitive control in cocaine use disorder (CUD).
METHODS: Secondary analysis was performed on data from 44 individuals who participated in three randomized clinical trials for CUD and completed an fMRI Stroop task both at baseline and post-treatment. Independent component analysis (ICA) was performed to assess changes in functional network engagement and investigate associations with cocaine-use behaviors. Mixed linear models were performed to test for longitudinal effects on network engagement and relationships with baseline patterns of cocaine use (i.e., past-month frequency and lifetime years of use) and periods of abstinence/use between scans (i.e., percent negative urine toxicology and maximum days of contiguous abstinence).
RESULTS: Six functional networks were identified as being related to cognitive control and/or exhibiting changes in engagement following treatment. Results indicated that engagement of amygdala-striatal, middle frontal and right-frontoparietal networks were reduced over time in CUD. Less change in the amygdala-striatal network was associated with greater lifetime years of cocaine use. Additional analyses revealed that negative toxicology results and achievement of continuous abstinence were associated with greater engagement of the right-frontoparietal network.
CONCLUSIONS: Neural systems that underlie cognitive control may change over time in individuals with CUD. A longer history of cocaine-use may hinder changes in network activity, potentially impeding recovery.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cocaine; FMRI; Imaging; Independent Component Analysis; Longitudinal; Treatment

Mesh:

Substances:

Year:  2021        PMID: 34753083      PMCID: PMC8671376          DOI: 10.1016/j.drugalcdep.2021.109151

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  54 in total

1.  Dissociating the role of the dorsolateral prefrontal and anterior cingulate cortex in cognitive control.

Authors:  A W MacDonald; J D Cohen; V A Stenger; C S Carter
Journal:  Science       Date:  2000-06-09       Impact factor: 47.728

2.  Hierarchical error representation in medial prefrontal cortex.

Authors:  Noah Zarr; Joshua W Brown
Journal:  Neuroimage       Date:  2015-09-04       Impact factor: 6.556

3.  A preliminary study of the neural effects of behavioral therapy for substance use disorders.

Authors:  Elise E DeVito; Patrick D Worhunsky; Kathleen M Carroll; Bruce J Rounsaville; Hedy Kober; Marc N Potenza
Journal:  Drug Alcohol Depend       Date:  2011-10-29       Impact factor: 4.492

4.  Computer-assisted delivery of cognitive-behavioral therapy: efficacy and durability of CBT4CBT among cocaine-dependent individuals maintained on methadone.

Authors:  Kathleen M Carroll; Brian D Kiluk; Charla Nich; Melissa A Gordon; Galina A Portnoy; Daniel R Marino; Samuel A Ball
Journal:  Am J Psychiatry       Date:  2014-04       Impact factor: 18.112

5.  Adolescents' fMRI activation to a response inhibition task predicts future substance use.

Authors:  O M Mahmood; D Goldenberg; R Thayer; R Migliorini; A N Simmons; S F Tapert
Journal:  Addict Behav       Date:  2012-07-28       Impact factor: 3.913

6.  Error processing in current and former cocaine users.

Authors:  Brian C Castelluccio; Shashwath A Meda; Christine E Muska; Michael C Stevens; Godfrey D Pearlson
Journal:  Brain Imaging Behav       Date:  2014-03       Impact factor: 3.978

7.  A baseline for the multivariate comparison of resting-state networks.

Authors:  Elena A Allen; Erik B Erhardt; Eswar Damaraju; William Gruner; Judith M Segall; Rogers F Silva; Martin Havlicek; Srinivas Rachakonda; Jill Fries; Ravi Kalyanam; Andrew M Michael; Arvind Caprihan; Jessica A Turner; Tom Eichele; Steven Adelsheim; Angela D Bryan; Juan Bustillo; Vincent P Clark; Sarah W Feldstein Ewing; Francesca Filbey; Corey C Ford; Kent Hutchison; Rex E Jung; Kent A Kiehl; Piyadasa Kodituwakku; Yuko M Komesu; Andrew R Mayer; Godfrey D Pearlson; John P Phillips; Joseph R Sadek; Michael Stevens; Ursina Teuscher; Robert J Thoma; Vince D Calhoun
Journal:  Front Syst Neurosci       Date:  2011-02-04

8.  Changes of functional and effective connectivity in smoking replenishment on deprived heavy smokers: a resting-state FMRI study.

Authors:  Xiaoyu Ding; Seong-Whan Lee
Journal:  PLoS One       Date:  2013-03-19       Impact factor: 3.240

9.  P300 and Decision Making under Risk and Ambiguity.

Authors:  Lei Wang; Jiehui Zheng; Shenwei Huang; Haoye Sun
Journal:  Comput Intell Neurosci       Date:  2015-10-11

10.  Dissociable neural substrates of opioid and cocaine use identified via connectome-based modelling.

Authors:  Sarah D Lichenstein; Dustin Scheinost; Marc N Potenza; Kathleen M Carroll; Sarah W Yip
Journal:  Mol Psychiatry       Date:  2019-11-12       Impact factor: 15.992

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.