Literature DB >> 25122732

Cognitive Testing to Identify Children With ADHD Who Do and Do Not Respond to Methylphenidate.

Glen R Elliott1,2, Christine Blasey3,4, William Rekshan3, A John Rush5, Donna M Palmer3,4,6, Simon Clarke6,7,8, Michael Kohn6,7,8, Craig Kaplan3,4, Evian Gordon3,4.   

Abstract

OBJECTIVE: To explore the utility of cognitive measures for predicting response of children and adolescents to methylphenidate (MPH).
METHOD: Participants from the International Study to Predict Optimized Treatment-in ADHD (iSPOT-A) completed a cognitive test battery prior to receiving 6 weeks of MPH. The responder criterion was a 25% reduction in ADHD-Rating Scale-IV scores. Receiver Operator Characteristics (ROC) classified non-responders from responders with maximal sensitivity and specificity.
RESULTS: Overall, 62% of participants responded to MPH. Response rates for ROC-identified groups ranged from 18% to 85%. Non-responders showed compromised cognition related to switching of attention, sustained attention, planning, and impulsivity. One group of responders were 10 years of age or older and had impaired switching of attention and impulsivity; a second group had enhanced switching of attention, normal or higher Continuous Performance Task (CPT) scores, and above average scores on digit span.
CONCLUSION: Cognitive tests may provide a simple, low-cost tool for treatment planning for children and adolescents with ADHD.

Entities:  

Keywords:  ADD/ADHD; cognitive performance; methylphenidate; receiver operating characteristics

Mesh:

Substances:

Year:  2014        PMID: 25122732     DOI: 10.1177/1087054714543924

Source DB:  PubMed          Journal:  J Atten Disord        ISSN: 1087-0547            Impact factor:   3.256


  14 in total

1.  Intrinsic Functional Connectivity in the Default Mode Network Differentiates the Combined and Inattentive Attention Deficit Hyperactivity Disorder Types.

Authors:  Jacqueline F Saad; Kristi R Griffiths; Michael R Kohn; Taylor A Braund; Simon Clarke; Leanne M Williams; Mayuresh S Korgaonkar
Journal:  Front Hum Neurosci       Date:  2022-06-09       Impact factor: 3.473

Review 2.  Linking ADHD to the Neural Circuitry of Attention.

Authors:  Adrienne Mueller; David S Hong; Steven Shepard; Tirin Moore
Journal:  Trends Cogn Sci       Date:  2017-05-05       Impact factor: 20.229

3.  Regional brain network organization distinguishes the combined and inattentive subtypes of Attention Deficit Hyperactivity Disorder.

Authors:  Jacqueline F Saad; Kristi R Griffiths; Michael R Kohn; Simon Clarke; Leanne M Williams; Mayuresh S Korgaonkar
Journal:  Neuroimage Clin       Date:  2017-05-22       Impact factor: 4.881

4.  Effects of a structured 20-session slow-cortical-potential-based neurofeedback program on attentional performance in children and adolescents with attention-deficit hyperactivity disorder: retrospective analysis of an open-label pilot-approach and 6-month follow-up.

Authors:  Johanna S Albrecht; Sarah Bubenzer-Busch; Anne Gallien; Eva Lotte Knospe; Tilman J Gaber; Florian D Zepf
Journal:  Neuropsychiatr Dis Treat       Date:  2017-03-02       Impact factor: 2.570

5.  Different Spectral Analysis Methods for the Theta/Beta Ratio Calculate Different Ratios But Do Not Distinguish ADHD from Controls.

Authors:  Hanneke van Dijk; Roger deBeus; Cynthia Kerson; Michelle E Roley-Roberts; Vincent J Monastra; L Eugene Arnold; Xueliang Pan; Martijn Arns
Journal:  Appl Psychophysiol Biofeedback       Date:  2020-09

6.  The Impact of Methylphenidate on QbTest Performance of Children with ADHD: A Retrospective Clinical Study.

Authors:  Rajna Knez; Dejan Stevanovic; Salmir Nasic; Ana Doric; Elisabet Wentz
Journal:  Neuropsychiatr Dis Treat       Date:  2021-01-06       Impact factor: 2.570

7.  Perseveration by NK1R-/- ('knockout') mice is blunted by doses of methylphenidate that affect neither other aspects of their cognitive performance nor the behaviour of wild-type mice in the 5-Choice Continuous Performance Test.

Authors:  Katharine Pillidge; Ashley J Porter; Jared W Young; S Clare Stanford
Journal:  J Psychopharmacol       Date:  2016-04-19       Impact factor: 4.153

8.  Altered gray matter organization in children and adolescents with ADHD: a structural covariance connectome study.

Authors:  K R Griffiths; S M Grieve; M R Kohn; S Clarke; L M Williams; M S Korgaonkar
Journal:  Transl Psychiatry       Date:  2016-11-08       Impact factor: 6.222

9.  Inhibition-related modulation of salience and frontoparietal networks predicts cognitive control ability and inattention symptoms in children with ADHD.

Authors:  Weidong Cai; Kristi Griffiths; Mayuresh S Korgaonkar; Leanne Maree Williams; Vinod Menon
Journal:  Mol Psychiatry       Date:  2019-10-29       Impact factor: 15.992

Review 10.  Neurofeedback and Attention-Deficit/Hyperactivity-Disorder (ADHD) in Children: Rating the Evidence and Proposed Guidelines.

Authors:  Martijn Arns; C Richard Clark; Mark Trullinger; Roger deBeus; Martha Mack; Michelle Aniftos
Journal:  Appl Psychophysiol Biofeedback       Date:  2020-06
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