Assessing Medication Effects in the MTA Study Using Neuropsychological Outcomes

Autor/inn/en	Epstein, Jeffery N.; Conners, C. Keith; Hervey, Aaron S.; Tonev, Simon T.; Arnold, L. Eugene; Abikoff, Howard B.; Elliott, Glen; Greenhill, Laurence L.; Hechtman, Lily; Hoagwood, Kimberly; Hinshaw, Stephen P.; Hoza, Betsy; Jensen, Peter S.; March, John S.; Newcorn, Jeffrey H.; Pelham, William E.; Severe, Joanne B.; Swanson, James M.; Wells, Karen; Vitiello, Benedetto; Wigal, Timothy
Titel	Assessing Medication Effects in the MTA Study Using Neuropsychological Outcomes
Quelle	In: Journal of Child Psychology and Psychiatry, 47 (2006) 5, S.446-456 (11 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0021-9630
DOI	10.1111/j.1469-7610.2005.01469.x
Schlagwörter	Attention Deficit Hyperactivity Disorder; Stimulants; Reaction Time; Drug Therapy; Neurological Organization; Neurological Impairments; Outcomes of Treatment; Children; Evaluation Methods; Continuous Performance Test + Suchen Sie Ihr Suchwort? Droge; Reaktionsvermögen; Neurodegenerative Erkrankung; Child; Kind; Kinder
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10