Literature DB >> 27083527

Dissociated neural substrates underlying impulsive choice and impulsive action.

Qiang Wang1, Chunhui Chen1, Ying Cai1, Siyao Li1, Xiao Zhao1, Li Zheng1, Hanqi Zhang1, Jing Liu1, Chuansheng Chen2, Gui Xue3.   

Abstract

There is a growing consensus that impulsivity is a multifaceted construct that comprises several components such as impulsive choice and impulsive action. Although impulsive choice and impulsive action have been shown to be the common characteristics of some impulsivity-related psychiatric disorders, surprisingly few studies have directly compared their neural correlates and addressed the question whether they involve common or distinct neural correlates. We addressed this important empirical gap using an individual differences approach that could characterize the functional relevance of neural networks in behaviors. A large sample (n=227) of college students was tested with the delay discounting and stop-signal tasks, and their performances were correlated with the neuroanatomical (gray matter volume, GMV) and functional (resting-state functional connectivity, RSFC) measures, using multivariate pattern analysis (MVPA) and 10-fold cross-validation. Behavioral results showed no significant correlation between impulsive choice measured by discounting rate (k) and impulsive action measured by stop signal reaction time (SSRT). The GMVs in the right frontal pole (FP) and left middle frontal gyrus (MFG) were predictive of k, but not SSRT. In contrast, the GMVs in the right inferior frontal gyrus (IFG), supplementary motor area (SMA), and anterior cingulate cortex (ACC) could predict individuals' SSRT, but not k. RSFC analysis using the FP and right IFG as seed regions revealed two distinct networks that correspond well to the "waiting" and "stopping" systems, respectively. Furthermore, the RSFC between the FP and ventromedial prefrontal cortex (VMPFC) was predictive of k, whereas the RSFC between the IFG and pre-SMA was predictive of SSRT. These results demonstrate clearly neural dissociations between impulsive choice and impulsive action, provide new insights into the nature of impulsivity, and have implications for impulsivity-related disorders.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Delay discounting; Impulsive action; Impulsive choice; MVPA; Resting-state functional connectivity; Stop-signal task; VBM

Mesh:

Year:  2016        PMID: 27083527     DOI: 10.1016/j.neuroimage.2016.04.010

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  29 in total

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5.  Early Childhood Adverse Experiences, Inferior Frontal Gyrus Connectivity, and the Trajectory of Externalizing Psychopathology.

Authors:  Deanna M Barch; Andy C Belden; Rebecca Tillman; Diana Whalen; Joan L Luby
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2017-12-28       Impact factor: 8.829

6.  Cocaine-related alterations in fronto-parietal gray matter volume correlate with trait and behavioral impulsivity.

Authors:  Christina S Meade; Ryan P Bell; Sheri L Towe; Shana A Hall
Journal:  Drug Alcohol Depend       Date:  2019-11-20       Impact factor: 4.492

7.  Frontotemporal Regulation of Subjective Value to Suppress Impulsivity in Intertemporal Choices.

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Journal:  J Neurosci       Date:  2020-12-17       Impact factor: 6.167

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Authors:  Catherine F Moore; Angelo Blasio; Valentina Sabino; Pietro Cottone
Journal:  Behav Pharmacol       Date:  2018-12       Impact factor: 2.293

9.  Distinct Roles of Dopamine Receptors in the Lateral Thalamus in a Rat Model of Decisional Impulsivity.

Authors:  Zhiyan Wang; Shengxiang Liang; Shuangshuang Yu; Tong Xie; Baicheng Wang; Junkai Wang; Yijing Li; Baoci Shan; Cailian Cui
Journal:  Neurosci Bull       Date:  2017-06-05       Impact factor: 5.203

10.  Sex differences in impulsivity in adult rats are mediated by organizational actions of neonatal gonadal hormones and not by hormones acting at puberty or in adulthood.

Authors:  Jeffrey S Darling; Daniel W Bayless; Lauren R Dartez; Joshua J Taylor; Arjun Mehrotra; William L Smith; Jill M Daniel
Journal:  Behav Brain Res       Date:  2020-08-02       Impact factor: 3.332

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