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Auteur C. Keith CONNERS |
Documents disponibles écrits par cet auteur (1)
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Assessing medication effects in the MTA study using neuropsychological outcomes / Jeffery N. EPSTEIN in Journal of Child Psychology and Psychiatry, 47-5 (May 2006)
[article]
Titre : Assessing medication effects in the MTA study using neuropsychological outcomes Type de document : Texte imprimé et/ou numérique Auteurs : Jeffery N. EPSTEIN, Auteur ; Peter S. JENSEN, Auteur ; John S. MARCH, Auteur ; Jeffrey H. NEWCORN, Auteur ; William E. PELHAM, Auteur ; Joanne B. SEVERE, Auteur ; James M. SWANSON, Auteur ; Karen WELLS, Auteur ; Benedetto VITIELLO, Auteur ; Betsy HOZA, Auteur ; Stephen P. HINSHAW, Auteur ; Kimberly HOAGWOOD, Auteur ; C. Keith CONNERS, Auteur ; Aaron S. HERVEY, Auteur ; Simon T. TONEV, Auteur ; L. Eugene ARNOLD, Auteur ; Howard B. ABIKOFF, Auteur ; Glen ELLIOTT, Auteur ; Laurence L. GREENHILL, Auteur ; Lily HECHTMAN, Auteur ; Timothy WIGAL, Auteur Année de publication : 2006 Article en page(s) : p.446–456 Langues : Anglais (eng) Mots-clés : ADHD/ADD go/no-go-test stimulants reaction-time distributions neuropsychology pharmacology Index. décimale : PER Périodiques Résumé : Background: While studies have increasingly investigated deficits in reaction time (RT) and RT variability in children with attention deficit/hyperactivity disorder (ADHD), few studies have examined the effects of stimulant medication on these important neuropsychological outcome measures.
Methods: 316 children who participated in the Multimodal Treatment Study of Children with ADHD (MTA) completed the Conners' Continuous Performance Test (CPT) at the 24-month assessment point. Outcome measures included standard CPT outcomes (e.g., errors of commission, mean hit reaction time (RT)) and RT indicators derived from an Ex-Gaussian distributional model (i.e., mu, sigma, and tau).
Results: Analyses revealed significant effects of medication across all neuropsychological outcome measures. Results on the Ex-Gaussian outcome measures revealed that stimulant medication slows RT and reduces RT variability.
Conclusions: This demonstrates the importance of including analytic strategies that can accurately model the actual distributional pattern, including the positive skew. Further, the results of the study relate to several theoretical models of ADHD.En ligne : http://dx.doi.org/10.1111/j.1469-7610.2005.01469.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=730
in Journal of Child Psychology and Psychiatry > 47-5 (May 2006) . - p.446–456[article] Assessing medication effects in the MTA study using neuropsychological outcomes [Texte imprimé et/ou numérique] / Jeffery N. EPSTEIN, Auteur ; Peter S. JENSEN, Auteur ; John S. MARCH, Auteur ; Jeffrey H. NEWCORN, Auteur ; William E. PELHAM, Auteur ; Joanne B. SEVERE, Auteur ; James M. SWANSON, Auteur ; Karen WELLS, Auteur ; Benedetto VITIELLO, Auteur ; Betsy HOZA, Auteur ; Stephen P. HINSHAW, Auteur ; Kimberly HOAGWOOD, Auteur ; C. Keith CONNERS, Auteur ; Aaron S. HERVEY, Auteur ; Simon T. TONEV, Auteur ; L. Eugene ARNOLD, Auteur ; Howard B. ABIKOFF, Auteur ; Glen ELLIOTT, Auteur ; Laurence L. GREENHILL, Auteur ; Lily HECHTMAN, Auteur ; Timothy WIGAL, Auteur . - 2006 . - p.446–456.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 47-5 (May 2006) . - p.446–456
Mots-clés : ADHD/ADD go/no-go-test stimulants reaction-time distributions neuropsychology pharmacology Index. décimale : PER Périodiques Résumé : Background: While studies have increasingly investigated deficits in reaction time (RT) and RT variability in children with attention deficit/hyperactivity disorder (ADHD), few studies have examined the effects of stimulant medication on these important neuropsychological outcome measures.
Methods: 316 children who participated in the Multimodal Treatment Study of Children with ADHD (MTA) completed the Conners' Continuous Performance Test (CPT) at the 24-month assessment point. Outcome measures included standard CPT outcomes (e.g., errors of commission, mean hit reaction time (RT)) and RT indicators derived from an Ex-Gaussian distributional model (i.e., mu, sigma, and tau).
Results: Analyses revealed significant effects of medication across all neuropsychological outcome measures. Results on the Ex-Gaussian outcome measures revealed that stimulant medication slows RT and reduces RT variability.
Conclusions: This demonstrates the importance of including analytic strategies that can accurately model the actual distributional pattern, including the positive skew. Further, the results of the study relate to several theoretical models of ADHD.En ligne : http://dx.doi.org/10.1111/j.1469-7610.2005.01469.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=730