Triple network resting state connectivity predicts distress tolerance and is associated with cocaine use

23Citations
Citations of this article
34Readers
Mendeley users who have this article in their library.

Abstract

Distress tolerance (DT), a predictor of substance use treatment retention and posttreatment relapse, is associated with task based neural activation in regions located within the salience (SN), default mode (DMN), and executive control networks (ECN). The impact of network connectivity on DT has yet to be investigated. The aim of the present study was to test within and between network resting-state functional connectivity (rsFC) associations with DT, and the impact of cocaine use on this relationship. Twenty-nine adults reporting regular cocaine use (CU) and 28 matched healthy control individuals (HC), underwent resting-state functional magnetic resonance imaging followed by the completion of two counterbalanced, computerized DT tasks. Dualregression analysis was used to derive within and between network rsFC of the SN, DMN, and lateralized (left and right) ECN. Cox proportional-hazards survival models were used to test the interactive effect of rsFC and group on DT. The association between cocaine use severity, rsFC, and DT was tested within the CU group. Lower LECN and higher DMN-SN rsFC were associated with DT impairment. Greater amount of cocaine use per using day was associated with greater DMNSN rsFC. The findings emphasize the role of neural resource allocation within the ECN and between DMN-SN on distress tolerance.

Cite

CITATION STYLE

APA

Reese, E. D., Yi, J. Y., McKay, K. G., Stein, E. A., Ross, T. J., & Daughters, S. B. (2019). Triple network resting state connectivity predicts distress tolerance and is associated with cocaine use. Journal of Clinical Medicine, 8(12). https://doi.org/10.3390/jcm8122135

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free