Literature DB >> 33242544

Computational Modeling of Attentional Impairments in Disruptive Mood Dysregulation and Attention-Deficit/Hyperactivity Disorder.

Simone P Haller1, Joel Stoddard2, David Pagliaccio3, Hong Bui4, Caroline MacGillivray4, Matt Jones5, Melissa A Brotman4.   

Abstract

OBJECTIVE: Computational models provide information about cognitive components underlying behavior. When applied to psychopathology-relevant processes, they offer additional insight to observed differences in behavioral performance. Drift diffusion models have been successfully applied to investigate processing efficiency during binary choice tasks. Using these models, we examine the association between psychopathology (irritability and inattention/hyperactivity) and processing efficiency under different attentional demands.
METHOD: A total of 187 youths with attention-deficit/hyperactivity disorder (ADHD), disruptive mood dysregulation disorder (DMDD), both disorders, or no major psychopathology (age, mean ± SD, 13.09 ± 2.55 y, 34% female) completed an Eriksen Flanker task. Of these, 87 youths provided complete data on dimensional measures of the core symptom of DMDD (irritability) and those of ADHD (inattention and hyperactivity).
RESULTS: In a categorical diagnosis-based analysis (n = 187), we found significant interactive effects among ADHD, DMDD, and task condition on processing efficiency, whereby changes in processing efficiency between conflict and nonconflict conditions were larger in youths without psychopathology compared with patients. Analysis of symptom severity (n = 87) across diagnoses similarly revealed an interaction between symptom dimensions and task condition on processing efficiency. Irritability moderated the magnitude of association between inattention symptoms and difference in processing efficiency between conflict and nonconflict conditions.
CONCLUSION: Adapting processing efficiency to cognitive demands may represent a shared cognitive endophenotype for both ADHD and DMDD. Highly irritable and/or inattentive youth may have difficulty adjusting processing efficiency to changing task demands, possibly reflecting impairments in cognitive flexibility. Published by Elsevier Inc.

Entities:  

Keywords:  ADHD; DMDD; attention; drift diffusion modeling; processing speed

Mesh:

Year:  2020        PMID: 33242544      PMCID: PMC8096646          DOI: 10.1016/j.jaac.2020.08.468

Source DB:  PubMed          Journal:  J Am Acad Child Adolesc Psychiatry        ISSN: 0890-8567            Impact factor:   8.829


  28 in total

1.  Fast-dm: a free program for efficient diffusion model analysis.

Authors:  Andreas Voss; Jochen Voss
Journal:  Behav Res Methods       Date:  2007-11

Review 2.  Reaction time variability in ADHD: a meta-analytic review of 319 studies.

Authors:  Michael J Kofler; Mark D Rapport; Dustin E Sarver; Joseph S Raiker; Sarah A Orban; Lauren M Friedman; Ellen G Kolomeyer
Journal:  Clin Psychol Rev       Date:  2013-06-13

3.  Mechanisms underpinning inattention and hyperactivity: neurocognitive support for ADHD dimensionality.

Authors:  G A Salum; E Sonuga-Barke; J Sergeant; J Vandekerckhove; A Gadelha; T S Moriyama; A S Graeff-Martins; G G Manfro; G Polanczyk; L A P Rohde
Journal:  Psychol Med       Date:  2014-04-25       Impact factor: 7.723

4.  Diffusion models of the flanker task: discrete versus gradual attentional selection.

Authors:  Corey N White; Roger Ratcliff; Jeffrey J Starns
Journal:  Cogn Psychol       Date:  2011-10-01       Impact factor: 3.468

5.  Neural Correlates of Irritability in Disruptive Mood Dysregulation and Bipolar Disorders.

Authors:  Jillian Lee Wiggins; Melissa A Brotman; Nancy E Adleman; Pilyoung Kim; Allison H Oakes; Richard C Reynolds; Gang Chen; Daniel S Pine; Ellen Leibenluft
Journal:  Am J Psychiatry       Date:  2016-02-19       Impact factor: 18.112

6.  Evidence for higher reaction time variability for children with ADHD on a range of cognitive tasks including reward and event rate manipulations.

Authors:  Jeffery N Epstein; Joshua M Langberg; Paul J Rosen; Amanda Graham; Megan E Narad; Tanya N Antonini; William B Brinkman; Tanya Froehlich; John O Simon; Mekibib Altaye
Journal:  Neuropsychology       Date:  2011-07       Impact factor: 3.295

7.  The revised Conners' Parent Rating Scale (CPRS-R): factor structure, reliability, and criterion validity.

Authors:  C K Conners; G Sitarenios; J D Parker; J N Epstein
Journal:  J Abnorm Child Psychol       Date:  1998-08

8.  Decomposing attention-deficit/hyperactivity disorder (ADHD)-related effects in response speed and variability.

Authors:  Sarah L Karalunas; Cynthia L Huang-Pollock; Joel T Nigg
Journal:  Neuropsychology       Date:  2012-11       Impact factor: 3.295

9.  Using the Diffusion Model to Explain Cognitive Deficits in Attention Deficit Hyperactivity Disorder.

Authors:  Cynthia Huang-Pollock; Roger Ratcliff; Gail McKoon; Zvi Shapiro; Alex Weigard; Hilary Galloway-Long
Journal:  J Abnorm Child Psychol       Date:  2017-01

10.  Assessing cognitive processes with diffusion model analyses: a tutorial based on fast-dm-30.

Authors:  Andreas Voss; Jochen Voss; Veronika Lerche
Journal:  Front Psychol       Date:  2015-03-27
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  1 in total

1.  The Impact of Irritability and Callous Unemotional Traits on Reward Positivity in Youth with ADHD and Conduct Problems.

Authors:  James Waxmonsky; Whitney Fosco; Daniel Waschbusch; Dara Babinski; Raman Baweja; Samantha Pegg; Vanessa Cao; Delshad Shroff; Autumn Kujawa
Journal:  Res Child Adolesc Psychopathol       Date:  2022-02-19
  1 in total

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