Predicting Clinical Gains and Side Effects of Stimulant Medication in Pediatric Attention-Deficit/Hyperactivity Disorder by Combining Measures From qEEG and ERPs in a Cued GO/NOGO Task

Geir Ogrim, Juri D Kropotov, Geir Ogrim, Juri D Kropotov

Abstract

Objectives: The study aim was to develop 2 scales: predicting clinical gains and risk of acute side effects of stimulant medication in pediatric attention-deficit/hyperactivity disorder (ADHD), combining measures from EEG spectra, event-related potentials (ERPs), and a cued visual GO/NOGO task.

Methods: Based on 4-week systematic medication trials, 87 ADHD patients aged 8 to 17 years were classified as responders (REs, n = 62) or non-REs (n = 25), and belonging to the side effects (SEs, n = 42) or no-SEs (n = 45) groups. Before starting the trial, a 19-channel EEG was registered twice: Test 1 (T1) without medication and T2 on a single dose of stimulant medication a few days before the trial. EEG was registered T1 and T2: 3 minutes eyes-closed, 3 minutes eyes-open, and 20 minutes cued GO/NOGO. EEG spectra, ERPs, omissions, commissions, reaction time (RT), and RT variability were computed. Groups were compared at T1 and T2 on quantitative EEG (qEEG), ERPs and behavioral parameters; effect sizes ( d) were estimated. Variables with d > 0.5 were converted to quartiles, multiplied by corresponding d, and summed to obtain 2 global scales.

Results: Six variables differed significantly between REs and non-REs (T1: theta/alpha ratio, P3NOGO amplitude. Differences T2-T1: Omissions, RT variability, P3NOGO, contingent negative variation [CNV]). The global scale d was 1.86. Accuracy (receiver operating characteristic) was 0.92. SEs and no-SEs differed significantly on 4 variables. (T1: RT, T2: novelty component and alpha peak frequency, and RT changes. Global scale d = 1.08 and accuracy = 0.78.

Conclusion: Gains and side effects of stimulants in pediatric ADHD can be predicted with high accuracy by combining EEG spectra, ERPs, and behavior from baseline and single-dose tests. ClinicalTrials.gov identifier: NCT02695355.

Keywords: ADHD; ERPs; predictions; qEEG; stimulants.

Conflict of interest statement

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Grand-average event-related potentials (ERPs) in the cued GO/NOGO task. ERPs for all subjects and T1 and T2 are averaged (n = 176). (a) Left to right: ERPs at Cz and Pz electrodes to the first stimuli: animal-Cue (black lines) and plant-No Cue (gray lines), ERPs to the second relevant stimuli: GO (black lines) and NOGO (gray lines). ERPs to second ignored stimuli: visual alone (black lines), and visual + Novel auditory stimuli (gray lines). (b) Maps for the main components: P3 Cue, contingent negative variation (CNV) Cue for Cue stimuli, P3 GO and P3 NOGO for GO and NOGO stimuli, N1 and P2 waves to visual + Novel auditory stimuli. The arrows in (a) indicate the components.
Figure 2.
Figure 2.
Grand-average event-related potentials (ERPs) for responders (REs) and non-REs. (a) Grand-average NOGO ERPs at Cz and Pz electrodes for REs and non-REs at T1 (light green = RE, red = non-RE), T2 (dark green = RE, pink = non-RE), and T2-T1 differences (light blue = RE, dark blue = non-RE). Vertical gray line = onset of stimulus presentation. Contingent negative variation (CNV) indicates prestimulus baseline. (b) Maps of ERPs for REs and non-REs taken at maximums of P3 NOGO waves indicated by arrows at (a).
Figure 3.
Figure 3.
Grand-average event-related potentials (ERPs) in the group of patients with side effects (SE) and no-side effects (no-SE). (a) Grand-average ERPs to novelty at Cz and Pz electrodes for SEs and no-SEs taken at T1 (light green, no-SE; red, SE), T2 (dark green, no-SE; pink, SE), and T2 − T1 differences (light blue, no-SE; dark blue, SE). Maps of ERPs for SEs and non-SEs taken at maximums of P3 NOGO waves indicated by arrows at (a).

References

    1. Spencer TJ, Biederman J, Mick E. Attention-deficit/hyperactivity disorder: diagnosis, lifespan, comorbidities, and neurobiology. J Pediatr Psychol. 2007;32:631-642.
    1. American Psychiatric Association, American Psychiatric Association; Task Force on DSM-IV. Diagnostic and Statistical Manual of Mental Disorders: DSM-IV-TR. 4th ed. Washington, DC: American Psychiatric Association; 2000.
    1. Willcutt EG. The prevalence of DSM-IV attention-deficit/hyperactivity disorder: a meta-analytic review. Neurotherapeutics. 2012;9:490-499.
    1. Gillberg C. The ESSENCE in child psychiatry: early symptomatic syndromes eliciting neurodevelopmental clinical examinations. Res Dev Disabil. 2010;31:1543-1551.
    1. Barkley RA. Attention-Deficit Hyperactivity Disorder A Handbook for Diagnosis and Treatment. 3rd ed. New York, NY: Guilford Press; 2006.
    1. Spencer T, Biederman J, Wilens T, Harding M, O’Donnell D, Griffin S. Pharmacotherapy of attention-deficit hyperactivity disorder across the life cycle. J Am Acad Child Adolesc Psychiatry. 1996;35:409-432.
    1. Pietrzak RH, Mollica CM, Maruff P, Snyder PJ. Cognitive effects of immediate-release methylphenidate in children with attention-deficit/hyperactivity disorder. Neurosci Biobehav Rev. 2006;30:1225-1245.
    1. Schweitzer JB, Lee DO, Hanford RB, et al. Effect of methylphenidate on executive functioning in adults with attention-deficit/hyperactivity disorder: normalization of behavior but not related brain activity. Biol Psychiatry. 2004;56:597-606.
    1. Banaschewski T, Coghill D, Santosh P, et al. Long-acting medications for the hyperkinetic disorders. A systematic review and European treatment guideline. Eur Child Adolesc Psychiatry. 2006;15:476-495.
    1. Hermens DF, Cooper NJ, Kohn M, Clarke S, Gordon E. Predicting stimulant medication response in ADHD: evidence from an integrated profile of neuropsychological, psychophysiological and clinical factors. J Integr Neurosci. 2005;4:107-121.
    1. Volkow ND, Wang GJ, Tomasi D, et al. Methylphenidate-elicited dopamine increases in ventral striatum are associated with long-term symptom improvement in adults with attention deficit hyperactivity disorder. J Neurosci. 2012;32:841-849.
    1. Rubia K, Alegria AA, Cubillo AI, Smith AB, Brammer MJ, Radua J. Effects of stimulants on brain function in attention-deficit/hyperactivity disorder: a systematic review and meta-analysis. Biol Psychiatry. 2014;76:616-628.
    1. Sangal RB, Sangal JM. Attention-deficit/hyperactivity disorder: use of cognitive evoked potential (P300) to predict treatment response. Clin Neurophysiol. 2006;117:1996-2006.
    1. Ramtvedt BE, Sundet K. Relationships between computer-based testing and behavioral ratings in the assessment of attention and activity in a pediatric ADHD stimulant crossover trial. Clin Neuropsychol. 2014;28:1146-1161.
    1. Ogrim G, Hestad KA, Brunner JF, Kropotov J. Predicting acute side effects of stimulant medication in pediatric attention deficit/hyperactivity disorder: data from quantitative electroencephalography, event-related potentials, and a continuous-performance test. Neuropsychiatr Dis Treat. 2013;9:1301-1309.
    1. Barkley RA, DuPaul GJ, McMurray MB. Attention deficit disorder with and without hyperactivity: clinical response to three dose levels of methylphenidate. Pediatrics. 1991;87:519-531.
    1. Chabot RJ, Orgill AA, Crawford G, Harris MJ, Serfontein G. Behavioral and electrophysiologic predictors of treatment response to stimulants in children with attention disorders. J Child Neurol. 1999;14:343-351.
    1. Hale JB, Reddy LA, Semrud-Clikeman M, et al. Executive impairment determines ADHD medication response: implications for academic achievement. J Learn Disabil. 2011;44:196-212.
    1. Tannock R, Ickowicz A, Schachar R. Differential effects of methylphenidate on working memory in ADHD children with and without comorbid anxiety. J Am Acad Child Adolesc Psychiatry. 1995;34:886-896.
    1. Riccio CA, Waldrop JJ, Reynolds CR, Lowe P. Effects of stimulants on the continuous performance test (CPT): implications for CPT use and interpretation. J Neuropsychiatry Clin Neurosci. 2001;13:326-335.
    1. Ogrim G, Kropotov J, Brunner JF, Candrian G, Sandvik L, Hestad KA. 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. Neuropsychiatr Dis Treat. 2014;10:231-242.
    1. Nichols SL, Waschbusch DA. A review of the validity of laboratory cognitive tasks used to assess symptoms of ADHD. Child Psychiatry Hum Dev. 2004;34:297-315.
    1. Fernández-Jaén A, Fernández-Mayoralas DM, Calleja-Pérez B, Moreno-Acero N, Muñoz-Jareño N. The effects of methylphenidate on cognitive-attentional processes. The use of continuous performance tests [in Spanish]. Rev Neurol. 2008;46(suppl 1):S47-S49.
    1. Coghill DR, Rhodes SM, Matthews K. The neuropsychological effects of chronic methylphenidate on drug-naive boys with attention-deficit/hyperactivity disorder. Biol Psychiatry. 2007;62:954-962.
    1. Ogrim G, Aasen IE, Brunner JF. Single-dose effects on the P3no-go ERP component predict clinical response to stimulants in pediatric ADHD. Clin Neurophysiol. 2016;127:3277-3287.
    1. Johnston BA, Coghill D, Matthews K, Steele JD. Predicting methylphenidate response in attention deficit hyperactivity disorder: a preliminary study. J Psychopharmacol. 2015;29:24-30.
    1. Kropotov JD. Functional Neuromarkers for Psychiatry: Applications for Diagnosis and Treatment. 1st ed. London, England: Academic Press; 2016.
    1. Conners CK. Conners 3rd Edition. North Tonawanda, NY: Multi-Health Systems Inc; 2008.
    1. Achenbach TM, Rescorla L. Multicultural Supplement to the Manual for the ASEBA School-Age Forms & Profiles: Child Behavior Checklist for Ages 6-18, Teacher’s Report Form, Youth Self-Report: an Integrated System of Multi-Informant Assessment. Burlington, VT: ASEBA; 2001.
    1. Lambek R, Trillingsgaard A. Elaboration, validation and standardization of the five to fifteen (FTF) questionnaire in a Danish population sample. Res Dev Disabil. 2015;38:161-170.
    1. Wechsler D. Wechsler Intelligence Scale for Children. Toronto, ON, Canada: Psychological Corporation; 2003.
    1. Wechsler D. Wechsler Abbreviated Scale of Intelligence. New York, NY: Pearson Education; 1999.
    1. Gioia GA, Isquith PK, Guy SC, Kenworthy L. BRIEF Behavior Rating Inventory of Executive Function. Lutz, FL: PAR; 2000.
    1. Kropotov JD, Ponomarev VA. Decomposing N2 NOGO wave of event-related potentials into independent components. Neuroreport. 2009;20:1592-1596.
    1. Kropotov JD, Ponomarev VA, Hollup S, Mueller A. Dissociating action inhibition, conflict monitoring and sensory mismatch into independent components of event related potentials in GO/NOGO task. Neuroimage. 2011;57:565-575.
    1. Brunner JF, Olsen A, Aasen IE, Løhaugen GC, Haberg AK, Kropotov J. Neuropsychological parameters indexing executive processes are associated with independent components of ERPs. Neuropsychologia. 2015;66:144-156.
    1. Jung TP, Makeig S, Westerfield M, Townsend J, Courchesne E, Sejnowski TJ. Removal of eye activity artefacts from visual event-related potentials in normal and clinical subjects. Clin Neurophysiol. 2000;111:1745-1758.
    1. Vigário RN. Extraction of ocular artefacts from EEG using independent component analysis. Electroencephalogr Clin Neurophysiol. 1997;103:395-404.
    1. Luck SJ. An Introduction to the Event-Related Potential Technique. 2nd ed. Cambridge, MA: MIT Press; 2014.
    1. Ogrim G, Aasen IE, Brunner JF. Single-dose effects on the P3no-go ERP component predict clinical response to stimulants in pediatric ADHD. Clin Neurophysiol. 2016;127:3277-3287.
    1. Arns M, Gunkelman J, Breteler M, Spronk D. EEG phenotypes predict treatment outcome to stimulants in children with ADHD. J Integr Neurosci. 2008;7:421-438.
    1. Himelstein J, Newcorn JH, Halperin JM. The neurobiology of attention-deficit hyperactivity disorder. Front Biosci. 2000;5:D461-D478.
    1. Posner MI, Petersen SE. The attention system of the human brain. Annu Rev Neurosci. 1990;13:25-42.
    1. Petersen SE, Posner MI. The attention system of the human brain: 20 years after. Annu Rev Neurosci. 2012;35:73-89.
    1. Booth JE, Carlson CL, Tucker DM. Performance on a neurocognitive measure of alerting differentiates ADHD combined and inattentive subtypes: a preliminary report. Arch Clin Neuropsychol. 2007;22:423-432.
    1. Johnson KA, Robertson IH, Barry E, et al. Impaired conflict resolution and alerting in children with ADHD: evidence from the Attention Network Task (ANT). J Child Psychol Psychiatry. 2008;49:1339-1347.
    1. Arnsten AF. Toward a new understanding of attention-deficit hyperactivity disorder pathophysiology: an important role for prefrontal cortex dysfunction. CNS Drugs. 2009;23(suppl 1):33-41.

Source: PubMed

3
Abonneren