Literature DB >> 24582821

Differential associations between impulsivity and risk-taking and brain activations underlying working memory in adolescents.

Karni Panwar1, Helena J V Rutherford1, W Einar Mencl2, Cheryl M Lacadie1, Marc N Potenza3, Linda C Mayes1.   

Abstract

Increased impulsivity and risk-taking are common during adolescence and relate importantly to addictive behaviors. However, the extent to which impulsivity and risk-taking relate to brain activations that mediate cognitive processing is not well understood. Here we examined the relationships between impulsivity and risk-taking and the neural correlates of working memory. Neural activity was measured in 18 adolescents (13-18 years) while they engaged in a working memory task that included verbal and visuospatial components that each involved encoding, rehearsal and recognition stages. Risk-taking and impulsivity were assessed using the Balloon Analogue Risk Task (BART) and the adolescent version of the Barratt Impulsiveness Scale-11 (BIS-11A), respectively. We found overlapping as well as distinct regions subserving the different stages of verbal and visuospatial working memory. In terms of risk-taking, we found a positive correlation between BART scores and activity in subcortical regions (e.g., thalamus, dorsal striatum) recruited during verbal rehearsal, and an inverse correlation between BART scores and cortical regions (e.g., parietal and temporal regions) recruited during visuospatial rehearsal. The BIS-11A evidenced that motor impulsivity was associated with activity in regions recruited during all stages of working memory, while attention and non-planning impulsivity was only associated with activity in regions recruited during recognition. In considering working memory, impulsivity and risk-taking together, both impulsivity and risk-taking were associated with activity in regions recruited during rehearsal; however, during verbal rehearsal, differential correlations were found. Specifically, positive correlations were found between: (1) risk-taking and activity in subcortical regions, including the thalamus and dorsal striatum; and, (2) motor impulsivity and activity in the left inferior frontal gyrus, insula, and dorsolateral prefrontal cortex. Therefore these findings suggest that while there may be some overlap in the neural correlates of working memory and their relationship to impulsivity and risk-taking, there are also important differences in these constructs and their relationship to the stages of working memory during adolescence.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adolescence; Impulsivity; Neuroimaging; Risk-taking; Working memory

Mesh:

Year:  2013        PMID: 24582821      PMCID: PMC4062599          DOI: 10.1016/j.addbeh.2013.12.007

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  125 in total

1.  Isolating the neural mechanisms of age-related changes in human working memory.

Authors:  B Rypma; M D'Esposito
Journal:  Nat Neurosci       Date:  2000-05       Impact factor: 24.884

2.  The role of the prefrontal cortex in the maintenance of verbal working memory: an event-related FMRI analysis.

Authors:  Nandakumar S Narayanan; Vivek Prabhakaran; Silvia A Bunge; Kalina Christoff; Eric M Fine; John D E Gabrieli
Journal:  Neuropsychology       Date:  2005-03       Impact factor: 3.295

3.  Separate neural systems value immediate and delayed monetary rewards.

Authors:  Samuel M McClure; David I Laibson; George Loewenstein; Jonathan D Cohen
Journal:  Science       Date:  2004-10-15       Impact factor: 47.728

Review 4.  The adolescent brain.

Authors:  B J Casey; Rebecca M Jones; Todd A Hare
Journal:  Ann N Y Acad Sci       Date:  2008-03       Impact factor: 5.691

5.  Temporal dynamics of brain activation during a working memory task.

Authors:  J D Cohen; W M Perlstein; T S Braver; L E Nystrom; D C Noll; J Jonides; E E Smith
Journal:  Nature       Date:  1997-04-10       Impact factor: 49.962

6.  Dissociation Of working memory from decision making within the human prefrontal cortex.

Authors:  A Bechara; H Damasio; D Tranel; S W Anderson
Journal:  J Neurosci       Date:  1998-01-01       Impact factor: 6.167

7.  Adolescents' performance on the Iowa Gambling Task: implications for the development of decision making and ventromedial prefrontal cortex.

Authors:  Catalina J Hooper; Monica Luciana; Heather M Conklin; Rebecca S Yarger
Journal:  Dev Psychol       Date:  2004-11

8.  Measuring state changes in human delay discounting: an experiential discounting task.

Authors:  Brady Reynolds; Ryan Schiffbauer
Journal:  Behav Processes       Date:  2004-11-30       Impact factor: 1.777

Review 9.  A time of change: behavioral and neural correlates of adolescent sensitivity to appetitive and aversive environmental cues.

Authors:  Leah H Somerville; Rebecca M Jones; B J Casey
Journal:  Brain Cogn       Date:  2009-08-19       Impact factor: 2.310

10.  Impulsive decision making and working memory.

Authors:  John M Hinson; Tina L Jameson; Paul Whitney
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2003-03       Impact factor: 3.051

View more
  9 in total

1.  Neural activity during working memory encoding, maintenance, and retrieval: A network-based model and meta-analysis.

Authors:  Hongkeun Kim
Journal:  Hum Brain Mapp       Date:  2019-08-02       Impact factor: 5.038

2.  Neural activation during response inhibition is associated with adolescents' frequency of risky sex and substance use.

Authors:  Sarah W Feldstein Ewing; Jon M Houck; Angela D Bryan
Journal:  Addict Behav       Date:  2014-12-12       Impact factor: 3.913

3.  Executive Cognitive Functions and Behavioral Control Differentially Predict HbA1c in Type 1 Diabetes across Emerging Adulthood.

Authors:  Yana Suchy; Jonathan Butner; Deborah J Wiebe; MaryJane Campbell; Sara L Turner; Cynthia A Berg
Journal:  J Int Neuropsychol Soc       Date:  2019-12-11       Impact factor: 2.892

4.  Depression, Executive Dysfunction, and Prior Economic and Social Vulnerability Associations in Incarcerated African American Men.

Authors:  Faith A Scanlon; Joy D Scheidell; Gary S Cuddeback; Darcy Samuelsohn; David A Wohl; Carl W Lejuez; William W Latimer; Maria R Khan
Journal:  J Correct Health Care       Date:  2018-07-01

Review 5.  A Mini-Review of Relationships Between Cannabis Use and Neural Foundations of Reward Processing, Inhibitory Control and Working Memory.

Authors:  Kristen P Morie; Marc N Potenza
Journal:  Front Psychiatry       Date:  2021-04-22       Impact factor: 4.157

6.  Deformities of the Globus Pallidus are Associated with Severity of Suicidal Ideation and Impulsivity in Patients with Major Depressive Disorder.

Authors:  Kiwon Kim; Jeong-Hyeon Shin; Woojae Myung; Maurizio Fava; David Mischoulon; George I Papakostas; Kwan Woo Choi; Eun Jin Na; Sang Won Seo; Joon-Kyung Seong; Hong Jin Jeon
Journal:  Sci Rep       Date:  2019-05-16       Impact factor: 4.379

7.  Behavioral and Electrophysiological Arguments in Favor of a Relationship between Impulsivity, Risk-Taking, and Success on the Iowa Gambling Task.

Authors:  Julie Giustiniani; Coralie Joucla; Djamila Bennabi; Magali Nicolier; Thibault Chabin; Caroline Masse; Benoît Trojak; Pierre Vandel; Emmanuel Haffen; Damien Gabriel
Journal:  Brain Sci       Date:  2019-09-24

8.  Enhanced switching and familial susceptibility for psychosis.

Authors:  Fred W Sabb; Gerhard Hellemann; Nicholas B Allen; Carrie E Bearden
Journal:  Brain Behav       Date:  2018-04-25       Impact factor: 2.708

9.  Random topology organization and decreased visual processing of internet addiction: Evidence from a minimum spanning tree analysis.

Authors:  Hongxia Wang; Yan Sun; Jiaojiao Lv; Siyu Bo
Journal:  Brain Behav       Date:  2019-01-31       Impact factor: 2.708

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.