EEG Biomarkers for Pediatric ADHD Treatment Stratification
EEG Biomarkers for Pediatric ADHD Treatment Stratification
Pediatric attention deficit hyperactivity disorder (ADHD) affects up to 10% of children in the U.S. and more than 90% are prescribed stimulant medications according to clinical guidelines. The standard of care for pharmacological treatment of ADHD is a "trial-and-error" approach that requires frequent dose adjustments, side effects management, and communication among doctors, parents, and school personnel over weeks, months, and years. In the first year following prescription of stimulant medications, >50% of doctors are not able to conduct the recommended follow-up with their patients. Many patients stop taking medications or keep taking medications that do not work well, as a result.
This investigation will use a non-invasive brain imaging technique called EEG to look for activity in the brain that can predict which children with ADHD will respond well to two commonly prescribed stimulant medication groups, methylphenidate and amphetamines. Based on a previous study, it is expected that EEG signals can differentiate among children whose ADHD symptoms will get better on methylphenidate, and those whose ADHD symptoms will get better on amphetamines.
220 participants ages 7-11 with ADHD will be enrolled. Participants will not have autism or intellectual disabiltiy. They will not currently be taking psychiatric medications. Participants will not have not taken stimulant medications before or have tried stimulant medications >6 months or experienced an improvement in their ADHD symptoms by taking a stimulant medication before.
Study Participation Includes:
Pediatric attention deficit hyperactivity disorder (ADHD) affects up to 10% of children in the U.S. and more than 90% are prescribed stimulant medications according to clinical guidelines. The standard of care for pharmacological treatment of ADHD is a "trial-and-error" approach that requires frequent titration, side effects management, and communication among providers, parents, and school personnel over weeks, months, and years. This level of effort often exceeds the capacity of primary care providers, who manage treatment for the majority of affected children. In the first year following stimulant prescription, recommended routine follow-up occurs in <50% of cases treated in primary care. Consequently, suboptimal dosing and early discontinuation of stimulants are exceedingly common, with >75% pediatric ADHD patients showing suboptimal medication adherence in the first year.
The current proposal will utilize electroencephalography (EEG), a non-invasive, affordable brain measurement tool, to characterize predictive biomarkers for response to two commonly prescribed stimulant medication classes: methylphenidate (MPH) and amphetamines (AMP). Predictive biomarkers can be used to guide clinical decision making and treatment selection for pediatric ADHD, ultimately shortening the time from diagnosis to treatment optimization; reducing burden on clinicians, families, and teachers; and leading to better lifetime outcomes for children with ADHD. Thus far, behavioral- and genomic-based treatment biomarkers have not been successful for ADHD, and there is increasing demand by patients and providers to identify a solution.
Building on our pilot data, this study will constitute a prospective, single-blind, double-baseline randomized MPH-AMP crossover trial with 220 treatment-naïve, 7-11-year-old children with ADHD. EEG will be collected prior to each medication arm, and treatment response will be determined using 3-week rapid titration protocols, consistent with our pilot study and other published trials. Trained clinicians will characterize each participant as a "responder" or "non-responder" for each medication.
EEG features with small to medium effect sizes that are predictive of positive response to MPH and AMP will be identified. Preliminary data suggest MPH and AMP will have distinct EEG predictive biomarkers. To further examine the translational potential of these results, test-retest reliability and classification agreement of biomarkers over 24 hours and 4 weeks will be estimated. Results of this study have potential to accelerate pediatric mental health treatment development and precision medicine care for ADHD.
Inclusion Criteria:
Exclusion Criteria:
ArnettLab@childrens.harvard.edu617-919-7771