Literature DB >> 16041867

Predicting stimulant medication response in ADHD: evidence from an integrated profile of neuropsychological, psychophysiological and clinical factors.

Daniel F Hermens1, Nicholas J Cooper, Michael Kohn, Simon Clarke, Evian Gordon.   

Abstract

There have been significant advances in understanding the neurobiology of Attention-Deficit/Hyperactivity Disorder (ADHD) and it is timely to examine the ability of biological and psychological markers to predict medication response in this disorder. We evaluated prediction of medication response in adolescent ADHD using neuropsychological testing and psychophysiological measures of central and autonomic function. Fifty ADHD adolescents participated in pre- and post-stimulant medication testing. Separately ranked performance in auditory oddball and visual Working Memory (WM) tasks determined 20 "responders" and 20 "non-responders" with 10 "neutrals" excluded from the discriminant function analyses (DFA). For both oddball and WM performance rankings, the two groups did not differ in age, sex, or handedness. However, responders did have higher levels of symptomatology than non-responders at baseline. Pre-stimulant medication psychophysiology variables were used as predictors in each DFA. Oddball performance correctly classified 85.0% of responders and 95.0% of non-responders. Better response was associated with increased resting beta power (left posteriorly), delayed oddball target N1 (frontally), decreased oddball target P2 (left posteriorly) and decreased WM distractor P3 (right frontally). Working memory performance classified 80.0% of responders and 90.0% of non-responders, with a broadly similar profile of psychophysiological predictors. These finding indicate the value of integrating neuropsychological and psychophysiological data in predicting medication response in ADHD.

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Year:  2005        PMID: 16041867     DOI: 10.1142/s0219635205000653

Source DB:  PubMed          Journal:  J Integr Neurosci        ISSN: 0219-6352            Impact factor:   2.117


  12 in total

1.  Population pharmacodynamic modeling of various extended-release formulations of methylphenidate in children with attention deficit hyperactivity disorder via meta-analysis.

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Journal:  J Pharmacokinet Pharmacodyn       Date:  2012-01-22       Impact factor: 2.745

2.  Predicting methylphenidate response in long-term survivors of childhood cancer: a randomized, double-blind, placebo-controlled, crossover trial.

Authors:  Heather M Conklin; Susan Helton; Jason Ashford; Raymond K Mulhern; Wilburn E Reddick; Ronald Brown; Melanie Bonner; Bruce W Jasper; Shengjie Wu; Xiaoping Xiong; Raja B Khan
Journal:  J Pediatr Psychol       Date:  2009-05-22

3.  Neuroimaging-Aided Prediction of the Effect of Methylphenidate in Children with Attention-Deficit Hyperactivity Disorder: A Randomized Controlled Trial.

Authors:  Ayaka Ishii-Takahashi; Ryu Takizawa; Yukika Nishimura; Yuki Kawakubo; Kasumi Hamada; Shiho Okuhata; Shingo Kawasaki; Hitoshi Kuwabara; Takafumi Shimada; Ayako Todokoro; Takashi Igarashi; Kei-Ichiro Watanabe; Hidenori Yamasue; Nobumasa Kato; Kiyoto Kasai; Yukiko Kano
Journal:  Neuropsychopharmacology       Date:  2015-05-04       Impact factor: 7.853

Review 4.  Quantitative electroencephalography and attention-deficit/hyperactivity disorder: implications for clinical practice.

Authors:  Vincent J Monastra
Journal:  Curr Psychiatry Rep       Date:  2008-10       Impact factor: 5.285

5.  A thalamocorticostriatal dopamine network for psychostimulant-enhanced human cognitive flexibility.

Authors:  Gregory R Samanez-Larkin; Joshua W Buckholtz; Ronald L Cowan; Neil D Woodward; Rui Li; M Sib Ansari; Catherine M Arrington; Ronald M Baldwin; Clarence E Smith; Michael T Treadway; Robert M Kessler; David H Zald
Journal:  Biol Psychiatry       Date:  2012-12-27       Impact factor: 13.382

Review 6.  Evaluating the evidence for sex differences: a scoping review of human neuroimaging in psychopharmacology research.

Authors:  Korrina A Duffy; C Neill Epperson
Journal:  Neuropsychopharmacology       Date:  2021-11-03       Impact factor: 7.853

Review 7.  Toward Precision Medicine in ADHD.

Authors:  Jan Buitelaar; Sven Bölte; Daniel Brandeis; Arthur Caye; Nina Christmann; Samuele Cortese; David Coghill; Stephen V Faraone; Barbara Franke; Markus Gleitz; Corina U Greven; Sandra Kooij; Douglas Teixeira Leffa; Nanda Rommelse; Jeffrey H Newcorn; Guilherme V Polanczyk; Luis Augusto Rohde; Emily Simonoff; Mark Stein; Benedetto Vitiello; Yanki Yazgan; Michael Roesler; Manfred Doepfner; Tobias Banaschewski
Journal:  Front Behav Neurosci       Date:  2022-07-06       Impact factor: 3.617

Review 8.  Amfetamine and methylphenidate medications for attention-deficit/hyperactivity disorder: complementary treatment options.

Authors:  Paul Hodgkins; Monica Shaw; David Coghill; Lily Hechtman
Journal:  Eur Child Adolesc Psychiatry       Date:  2012-07-05       Impact factor: 4.785

9.  Identifying phronotypes in psychiatry.

Authors:  F Andrew Kozel
Journal:  Front Psychiatry       Date:  2010-10-20       Impact factor: 4.157

10.  Predicting the clinical outcome of stimulant medication in pediatric attention-deficit/hyperactivity disorder: data from quantitative electroencephalography, event-related potentials, and a go/no-go test.

Authors:  Geir Ogrim; Juri Kropotov; Jan Ferenc Brunner; Gian Candrian; Leiv Sandvik; Knut A Hestad
Journal:  Neuropsychiatr Dis Treat       Date:  2014-02-03       Impact factor: 2.570

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