Literature DB >> 32410131

A novel approach to intra-individual performance variability in ADHD.

Annet Bluschke1, Nicolas Zink1, Moritz Mückschel1, Veit Roessner1, Christian Beste2.   

Abstract

Patients with attention deficit/(hyperactivity) disorder (AD(H)D) show increased intra-individual variability (IIV) in behavioral performance. This likely reflects dopaminergic deficiencies. However, the precise performance profile across time and the pattern of fluctuations within it have not yet been considered, partly due to insufficient methods. Yet, such an analysis may yield important theory-based implications for clinical practice. Thus, in a case-control cross-sectional study, we introduce a new method to investigate performance fluctuations in patients with ADD (n = 76) and ADHD (n = 67) compared to healthy controls (n = 45) in a time estimation task. In addition, we also evaluate the effects of methylphenidate (MPH) treatment on this performance pattern in 29 patients with AD(H)D. Trial-by-trial differences in performance between healthy controls and patients with AD(H)D do not persist continuously over longer time periods. Periods during which no differences in performance between healthy controls and patients occur alternate with periods in which such differences are present. AD(H)D subtype and surprisingly also medication status does not affect this pattern. The presented findings likely reflect (phasic) deficiencies of the dopaminergic system in patients with AD(H)D which are not sufficiently ameliorated by first-line pharmacological treatment. The presented findings carry important clinical and scientific implications.

Entities:  

Keywords:  Attention deficit hyperactivity disorder; Intra-individual variability; Methylphenidate

Year:  2020        PMID: 32410131     DOI: 10.1007/s00787-020-01555-y

Source DB:  PubMed          Journal:  Eur Child Adolesc Psychiatry        ISSN: 1018-8827            Impact factor:   4.785


  66 in total

Review 1.  ADHD in children and adults: diagnosis and prognosis.

Authors:  Renata Kieling; Luis A Rohde
Journal:  Curr Top Behav Neurosci       Date:  2012

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

Review 3.  Intraindividual variability in ADHD and its implications for research of causal links.

Authors:  Jonna Kuntsi; Christoph Klein
Journal:  Curr Top Behav Neurosci       Date:  2012

4.  Increased reaction time variability in attention-deficit hyperactivity disorder as a response-related phenomenon: evidence from single-trial event-related potentials.

Authors:  Christopher W N Saville; Bernd Feige; Christian Kluckert; Stephan Bender; Monica Biscaldi; Andrea Berger; Christian Fleischhaker; Klaus Henighausen; Christoph Klein
Journal:  J Child Psychol Psychiatry       Date:  2014-11-12       Impact factor: 8.982

5.  Intra-Individual Response Variability Assessed by Ex-Gaussian Analysis may be a New Endophenotype for Attention-Deficit/Hyperactivity Disorder.

Authors:  Marcela Patricia Henríquez-Henríquez; Pablo Billeke; Hugo Henríquez; Francisco Javier Zamorano; Francisco Rothhammer; Francisco Aboitiz
Journal:  Front Psychiatry       Date:  2015-01-12       Impact factor: 4.157

6.  Neuronal Intra-Individual Variability Masks Response Selection Differences between ADHD Subtypes-A Need to Change Perspectives.

Authors:  Annet Bluschke; Witold X Chmielewski; Moritz Mückschel; Veit Roessner; Christian Beste
Journal:  Front Hum Neurosci       Date:  2017-06-28       Impact factor: 3.169

7.  Neurocognitive Predictors of ADHD Outcome: a 6-Year Follow-up Study.

Authors:  Marloes van Lieshout; Marjolein Luman; Jos W R Twisk; Stephen V Faraone; Dirk J Heslenfeld; Catharina A Hartman; Pieter J Hoekstra; Barbara Franke; Jan K Buitelaar; Nanda N J Rommelse; Jaap Oosterlaan
Journal:  J Abnorm Child Psychol       Date:  2017-02

8.  Neural mechanisms underlying successful and deficient multi-component behavior in early adolescent ADHD.

Authors:  Annet Bluschke; Krutika Gohil; Maxi Petzold; Veit Roessner; Christian Beste
Journal:  Neuroimage Clin       Date:  2018-02-27       Impact factor: 4.881

9.  Functional impairments in attention deficit hyperactivity disorder: the mediating role of neuropsychological functioning.

Authors:  Douglas Sjöwall; Lisa B Thorell
Journal:  Dev Neuropsychol       Date:  2014       Impact factor: 2.253

10.  The faster internal clock in ADHD is related to lower processing speed: WISC-IV profile analyses and time estimation tasks facilitate the distinction between real ADHD and pseudo-ADHD.

Authors:  Marco Walg; Gerhard Hapfelmeier; Daniel El-Wahsch; Helmut Prior
Journal:  Eur Child Adolesc Psychiatry       Date:  2017-03-10       Impact factor: 4.785

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  2 in total

1.  Training a machine learning classifier to identify ADHD based on real-world clinical data from medical records.

Authors:  Pavol Mikolas; Amirali Vahid; Fabio Bernardoni; Mathilde Süß; Julia Martini; Christian Beste; Annet Bluschke
Journal:  Sci Rep       Date:  2022-07-28       Impact factor: 4.996

2.  Global slowness and increased intra-individual variability are key features of attentional deficits and cognitive fluctuations in post COVID-19 patients.

Authors:  Paola Ortelli; Francesco Benso; Davide Ferrazzoli; Ilaria Scarano; Leopold Saltuari; Luca Sebastianelli; Viviana Versace; Roberto Maestri
Journal:  Sci Rep       Date:  2022-07-30       Impact factor: 4.996

  2 in total

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