Literature DB >> 11480163

A psychophysiological marker of attention deficit/hyperactivity disorder (ADHD)--defining the EEG consistency index.

B Kovatchev1, D Cox, R Hill, R Reeve, R Robeva, T Loboschefski.   

Abstract

This study continues our research to further validate the idea that ADHD (Attention Deficit/Hyperactivity Disorder) interferes with transition from one task to another and this interference can be quantified by a Consistency Index (CI) derived from a specific mathematical representation of EEG data. We reanalyze 32 previously reported data sets present new data for 35 boys and girls, ages 7-12, ADHD or control. Each data set contains EEG, recorded and digitized while participants perform consecutive 10-min tasks: video, reading, and math. For boys, the CI in ADHD was four times lower than in controls, p < .005, for girls this difference was two times, p < .05. ADHD/control classification based on the CI coincided with the DSM-IV criteria for 88% of the boys and for 67% of the girls. Post hoc analysis indicated that the classification utility of the CI diminished with age. A CI below 40% could be a discriminating, reliable, and reproducible marker of ADHD in young boys.

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Year:  2001        PMID: 11480163     DOI: 10.1023/a:1011339206875

Source DB:  PubMed          Journal:  Appl Psychophysiol Biofeedback        ISSN: 1090-0586


  5 in total

1.  Classification Accuracy of Neuroimaging Biomarkers in Attention-Deficit/Hyperactivity Disorder: Effects of Sample Size and Circular Analysis.

Authors:  Alfredo A Pulini; Wesley T Kerr; Sandra K Loo; Agatha Lenartowicz
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2018-06-27

Review 2.  A Systematic Review on Feature Extraction in Electroencephalography-Based Diagnostics and Therapy in Attention Deficit Hyperactivity Disorder.

Authors:  Pasquale Arpaia; Attilio Covino; Loredana Cristaldi; Mirco Frosolone; Ludovica Gargiulo; Francesca Mancino; Federico Mantile; Nicola Moccaldi
Journal:  Sensors (Basel)       Date:  2022-06-29       Impact factor: 3.847

3.  Discriminating between ADHD adults and controls using independent ERP components and a support vector machine: a validation study.

Authors:  Gian Candrian; Venke Arntsberg Grane; Juri D Kropotov; Valery A Ponomarev; Gian-Marco Baschera; Andreas Mueller
Journal:  Nonlinear Biomed Phys       Date:  2011-07-19

Review 4.  Krill products: an overview of animal studies.

Authors:  Lena Burri; Line Johnsen
Journal:  Nutrients       Date:  2015-05-07       Impact factor: 5.717

5.  Impact of Motivation on Selected Aspects of Attention in Children with ADHD.

Authors:  Sebastian Skalski; Grzegorz Pochwatko; Robert Balas
Journal:  Child Psychiatry Hum Dev       Date:  2020-08-20
  5 in total

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