Literature DB >> 16544371

Distractibility in AD/HD predominantly inattentive and combined subtypes: the P3a ERP component, heart rate and performance.

Hannah A D Keage1, C Richard Clark, Daniel F Hermens, Michael R Kohn, Simon Clarke, Leanne M Williams, David Crewther, Chris Lamb, Evian Gordon.   

Abstract

The current study aimed to investigate whether children and adolescents diagnosed with Attention Deficit/Hyperactivity Disorder Predominantly Inattentive (AD/HD-in; Child n = 24, Adolescent n = 33) and Combined (AD/HD-com; Child n = 30, Adolescent n = 42) subtypes were more distractible than controls (Child n = 54; Adolescents n = 75), by assessing event-related potential (ERP), performance and peripheral arousal measures. All AD/HD groups displayed smaller amplitudes and/or shorter latencies of the P3a ERP component - thought to reflect involuntary attention switching - following task-deviant novel stimuli (checkerboard patterns) embedded in a Working Memory (WM) task. The P3a results suggested that both AD/HD-in and AD/HD-com subtypes ineffectively evaluate deviant stimuli and are hence more "distractible". These abnormalities were most pronounced over the central areas. AD/HD groups did not display any abnormalities in averaged heart rate over the WM task, a measure of peripheral arousal. They did display abnormalities in performance measures from the task, but these were unrelated to P3a abnormalities. AD/HD groups also displayed a number of deficits on Switching of Attention and Verbal Memory tasks, however, the pattern of abnormality mostly reflected general cognitive deficits rather than resulting from distraction.

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Year:  2006        PMID: 16544371     DOI: 10.1142/s0219635206001070

Source DB:  PubMed          Journal:  J Integr Neurosci        ISSN: 0219-6352            Impact factor:   2.117


  6 in total

1.  Predictive coding in autism spectrum disorder and attention deficit hyperactivity disorder.

Authors:  Maria Luz Gonzalez-Gadea; Srivas Chennu; Tristan A Bekinschtein; Alexia Rattazzi; Ana Beraudi; Paula Tripicchio; Beatriz Moyano; Yamila Soffita; Laura Steinberg; Federico Adolfi; Mariano Sigman; Julian Marino; Facundo Manes; Agustin Ibanez
Journal:  J Neurophysiol       Date:  2015-08-26       Impact factor: 2.714

2.  Reduced Error Recognition Explains Post-Error Slowing Differences among Children with Attention Deficit Hyperactivity Disorder.

Authors:  Anne B Arnett; Candace Rhoads; Tara M Rutter
Journal:  J Int Neuropsychol Soc       Date:  2021-09-07       Impact factor: 3.114

3.  Classification of ADHD patients on the basis of independent ERP components using a machine learning system.

Authors:  Gian Candrian; Juri D Kropotov; Valery A Ponomarev; Gian-Marco Baschera; Andreas Mueller
Journal:  Nonlinear Biomed Phys       Date:  2010-06-03

4.  Atypical mismatch negativity to distressful voices associated with conduct disorder symptoms.

Authors:  An-Yi Hung; Jyrki Ahveninen; Yawei Cheng
Journal:  J Child Psychol Psychiatry       Date:  2013-05-23       Impact factor: 8.982

5.  One-year developmental stability and covariance among oddball, novelty, go/no-go, and flanker event-related potentials in adolescence: A monozygotic twin study.

Authors:  Scott J Burwell; Stephen M Malone; William G Iacono
Journal:  Psychophysiology       Date:  2016-03-21       Impact factor: 4.016

6.  Indices of Heart Rate Variability and Performance During a Response-Conflict Task Are Differently Associated With ADHD and Autism.

Authors:  Alessio Bellato; Iti Arora; Puja Kochhar; Chris Hollis; Madeleine J Groom
Journal:  J Atten Disord       Date:  2021-02-04       Impact factor: 3.256

  6 in total

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