EEG PHENOTYPES PREDICT TREATMENT OUTCOME TO STIMULANTS IN CHILDREN WITH ADHD
2008; Imperial College Press; Volume: 07; Issue: 03 Linguagem: Inglês
10.1142/s0219635208001897
ISSN1757-448X
AutoresMartijn Arns, Jay Gunkelman, M.H.M. Breteler, Desirée Spronk,
Tópico(s)EEG and Brain-Computer Interfaces
ResumoJournal of Integrative NeuroscienceVol. 07, No. 03, pp. 421-438 (2008) Research ReportsNo AccessEEG PHENOTYPES PREDICT TREATMENT OUTCOME TO STIMULANTS IN CHILDREN WITH ADHDMARTIJN ARNS, JAY GUNKELMAN, MARINUS BRETELER, and DESIRÉE SPRONKMARTIJN ARNS Brainclinics Diagnostics B.V./Brainclinics Treatment B.V. Bijleveldsingel 34, 6524 AD Nijmegen, The NetherlandsCorresponding author. Search for more papers by this author , JAY GUNKELMANQ-Pro Worldwide, Crockett, California, USA Search for more papers by this author , MARINUS BRETELERRadboud University Nijmegen/EEG Resource Institute, Nijmegen, The Netherlands Search for more papers by this author , and DESIRÉE SPRONKBrainclinics Diagnostics B.V., Nijmegen, The Netherlands Search for more papers by this author https://doi.org/10.1142/S0219635208001897Cited by:111 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail AbstractThis study demonstrates that the EEG phenotypes as described by Johnstone, Gunkelman & Lunt are identifiable EEG patterns with good inter-rater reliability. Furthermore, it was also demonstrated that these EEG phenotypes occurred in both ADHD subjects as well as healthy control subjects. The Frontal Slow and Slowed Alpha Peak Frequency and the Low Voltage EEG phenotype discriminated ADHD subjects best from controls (however the difference was not significant). The Frontal Slow group responded to a stimulant with a clinically relevant decreased number of false negative errors on the CPT. The Frontal Slow and Slowed Alpha Peak Frequency phenotypes have different etiologies as evidenced by the treatment response to stimulants. In previous research Slowed Alpha Peak Frequency has most likely erroneously shown up as a frontal theta sub-group. This implies that future research employing EEG measures in ADHD should avoid using traditional frequency bands, but dissociate Slowed Alpha Peak Frequency from frontal theta by taking the individual alpha peak frequency into account. Furthermore, the divergence from normal of the frequency bands pertaining to the various phenotypes is greater in the clinical group than in the controls. Investigating EEG phenotypes provides a promising new way to approach EEG data, explaining much of the variance in EEGs and thereby potentially leading to more specific prospective treatment outcomes.Keywords:ADHDEEG phenotypesQEEGmedication responsepersonalized medicinefrontal slowSlow Alpha Peak Frequency References R. J. Barry, A. R. Clarke and S. J. Johnstone, Clin. Neurophysiol. 114, 171 (2003), DOI: 10.1016/S1388-2457(02)00362-0. Crossref, Medline, ISI, Google ScholarJ. T. Brumaghim and R. Klorman, Psychophysiology 35, 73 (1998), DOI: 10.1017/S0048577298961297. Crossref, Medline, ISI, Google ScholarR. Chabot and G. Serfontein, Biol. Psychiatry 40, 951 (1996), DOI: 10.1016/0006-3223(95)00576-5. Crossref, Medline, ISI, Google ScholarR. J. Chabotet al., J. Child. Neurol. 14, 343 (1999), DOI: 10.1177/088307389901400601. Crossref, Medline, ISI, Google ScholarC. R. Clarket al., Arch. Clin. Neuropsychol. 21, 449 (2006), DOI: 10.1016/j.acn.2006.06.005. 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Slaats-Willemse17 December 2010 | Journal of Neural Transmission, Vol. 118, No. 2Use of Quantitative EEG to Predict Therapeutic Outcome in Neuropsychiatric DisordersJack Johnstone and Joy Lunt1 Jan 2011EEG Vigilance and Phenotypes in NeuropsychiatryMartijn Arns, Jay Gunkelman, Sebastian Olbrich, Christian Sander and Ulrich Hegerl1 Jan 2011The increase in theta/beta ratio on resting-state EEG in boys with attention-deficit/hyperactivity disorder is mediated by slow alpha peak frequencyMarieke M. Lansbergen, Martijn Arns, Martine van Dongen-Boomsma, Desirée Spronk and Jan K. Buitelaar1 Jan 2011 | Progress in Neuro-Psychopharmacology and Biological Psychiatry, Vol. 35, No. 1Selected Abstracts of Conference Presentations at the 2010 International Society for Neurofeedback and Research (ISNR) 18th Annual Conference, Denver, Colorado19 Nov 2010 | Journal of Neurotherapy, Vol. 14, No. 4EEG-vigilance and response to stimulants in paediatric patients with attention deficit/hyperactivity disorderChristian Sander, Martijn Arns, Sebastian Olbrich and Ulrich Hegerl1 Sep 2010 | Clinical Neurophysiology, Vol. 121, No. 9A Position Paper on Neurofeedback for the Treatment of ADHDLeslie Sherlin, Martijn Arns, Joel Lubar and Estate Sokhadze20 May 2010 | Journal of Neurotherapy, Vol. 14, No. 2Resting state electroencephalographic correlates with red cell long-chain fatty acids, memory performance and age in adolescent boys with attention deficit hyperactivity disorderAlexander Sumich, Toshiko Matsudaira, Rachel V. Gow, Almira Ibrahimovic and Kebreab Ghebremeskel et al.1 Dec 2009 | Neuropharmacology, Vol. 57, No. 7-8Efficacy of Neurofeedback Treatment in ADHD: The Effects on Inattention, Impulsivity and Hyperactivity: A Meta-AnalysisMartijn Arns, Sabine de Ridder, Ute Strehl, Marinus Breteler and Anton Coenen1 July 2009 | Clinical EEG and Neuroscience, Vol. 40, No. 3The Importance of Electroencephalogram Assessment for Autistic DisordersRobert Coben1 June 2009 | Biofeedback, Vol. 37, No. 2A Research Framework for Investigating the Benefits of Technology in Treatment and Management of ADHD in Tertiary StudentsBader Binhadyan and Bill DaveyAn Investigation of the Role of Using IS/IT in the Delivery of Treatments for ADHD in University StudentsBader Binhadyan and Nilmini Wickramasinghe Recommended Vol. 07, No. 03 Metrics History Received 29 February 2008 Accepted 21 June 2008 KeywordsADHDEEG phenotypesQEEGmedication responsepersonalized medicinefrontal slowSlow Alpha Peak FrequencyPDF download
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