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      The effect of task difficulty on motor performance and frontal-striatal connectivity in cocaine users

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          Abstract

          Background

          There is growing recognition that chronic cocaine users have alterations in sensorimotor control that are positively related to low frontal-striatal connectivity within the motor system. These frontal-striatal motor circuits however, are modulated by circuits governing attention, which are also disrupted in cocaine users. This study’s aim was to determine if sensorimotor control deficits are positively related to the difficulty of a motor task or exist independent of the increasing cognitive demand.

          Methods

          Functional MRI data was collected from 40 individuals (20 non-treatment seeking chronic cocaine users, 20 age and gender matched non-drug using controls) as they mimicked an unpredictable finger-tapping sequence at various speeds. Dependent measures included task accuracy, percent BOLD signal change in sensorimotor regions of interest (ROIs), and functional connectivity (temporal correlations) between ROIs.

          Results

          In both groups, as speed increased, the BOLD signal change increased in the primary motor cortex, supplementary motor area (SMA), cerebellum, and anterior cingulate cortex. Compared to controls, cocaine user SMA-Caudate and ACC-Putamen connectivity was lower at all speeds in the contralateral hemisphere. Furthermore, as speed increased there was a decrease in connectivity between additional ROI pairs among users.

          Conclusions

          These data support previous observations of sensorimotor performance deficits and dorsal frontal-striatal connectivity impairments among cocaine users. While previous studies demonstrate these deficits when performing a finger-tapping task at a single speed, we show that these same impairments exist at multiple levels of task difficulty. These data suggest that previously observed frontal-striatal connectivity in cocaine users during sensorimotor task performance are stable and not directly related to cognitive demands of the task.

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          Author and article information

          Journal
          7513587
          3445
          Drug Alcohol Depend
          Drug Alcohol Depend
          Drug and alcohol dependence
          0376-8716
          1879-0046
          3 July 2017
          21 January 2017
          01 April 2017
          12 April 2018
          : 173
          : 178-184
          Affiliations
          Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, 29425, USA
          Author notes
          [* ]Corresponding author at: Department of Psychiatry and Neurosciences, Medical University of South Carolina, 67 President Street, Charleston, SC, 29425, USA. hanlon@ 123456musc.edu (C.A. Hanlon)
          Article
          PMC5896281 PMC5896281 5896281 nihpa861112
          10.1016/j.drugalcdep.2016.12.008
          5896281
          28260681
          e5c73781-5a59-4294-9e46-2a65c58edf31
          History
          Categories
          Article

          Neural networks,Addiction,Connectivity,Neuroimaging,Sensorimotor,Cognitive

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