Time-on-task analysis using wavelet networks in an event-related potential study on attention-deficit hyperactivity disorder

Clin Neurophysiol. 2001 Jul;112(7):1280-7. doi: 10.1016/s1388-2457(01)00541-7.

Abstract

Objective: The aim of this event-related potential (ERP) study was to test time-on-task analysis at the level of single sweeps in a clinical trial. Since inattentiveness is one of the main symptoms of attention-deficit hyperactivity disorder (ADHD), this child psychiatric disorder was chosen as an exemplary application.

Methods: Twenty-four healthy and 24 ADHD boys, aged 9--15 years, performed an auditory selective attention task for about 5 min. ERP single trials were analyzed using wavelet networks. Time-on-task analysis was applied to omission errors, reaction time and slow ERP components (frontal negativity, parietal positivity), represented by a low-frequency wavelet component.

Results: Both performance and ERP measures showed distinct temporal dynamics. Time-on-task effects were not only linear, but also of higher order and started after less than 1 min. For ADHD children, earlier time-on-task effects, i.e. an earlier increase of omission errors and frontal negativity, resulted. Healthy children could allocate more attentional resources during the course of the experiment.

Conclusion: Time-on-task analysis at the level of single trials revealed phenomena probably reflecting ADHD children's attentional deficits. Thus, a more differentiated ERP analysis may provide a better understanding of the pathophysiological background in neuropsychiatric disorders.

Publication types

  • Clinical Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acoustic Stimulation
  • Algorithms
  • Attention Deficit Disorder with Hyperactivity / psychology*
  • Child
  • Evoked Potentials / physiology*
  • Frontal Lobe / physiology
  • Humans
  • Male
  • Models, Neurological
  • Neural Networks, Computer
  • Parietal Lobe / physiology
  • Psychiatric Status Rating Scales
  • Psychomotor Performance / physiology*
  • Signal Processing, Computer-Assisted