ArticleJournal of child psychology and psychiatry, and allied disciplines2018
Parsing heterogeneity in attention-deficit hyperactivity disorder using EEG-based subgroups.
Article in Journal of child psychology and psychiatry, and allied disciplines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The role and application of task-state fNIRS in identifying biomarkers in children and adolescents with ADHD: a systematic review.European child & adolescent psychiatry · 2026Pooled it
- Trial
- Dissociable EEG connectivity patterns reflect the latent general and specific dimensions of ADHD in children and adolescents.European child & adolescent psychiatry · 2026Article
- Attention-Deficit/Hyperactivity Disorder Subtypes Defined by Cognition Have a Distinct Neural and Clinical Profile and Differ in Response to Atomoxetine.Journal of the American Academy of Child and Adolescent Psychiatry · 2026Article
- Electrophysiological evaluation of cognitive intervention outcomes in children with attention deficit/hyperactivity disorder.Frontiers in neuroscience · 2026Article
- Electroencephalographic Biomarkers for Neuropsychiatric Diseases: The State of the Art.Bioengineering (Basel, Switzerland) · 2025Review
- Mapping neural effects of mindfulness-based cognitive therapy in ADHD using EEG microstates and machine learning models.Frontiers in psychiatry · 2025Article
- A Network Approach to Understanding the Role of Executive Functioning and Alpha Oscillations in Inattention and Hyperactivity-Impulsivity Symptoms of ADHD.Journal of attention disorders · 2024Article
- Identification of Concussion Subtypes Based on Intrinsic Brain Activity.JAMA network open · 2024Article
- Neural activation, cognitive control, and attention deficit hyperactivity disorder: Evaluating three competing etiological models.Development and psychopathology · 2024Article
- Candidate diagnostic biomarkers for neurodevelopmental disorders in children and adolescents: a systematic review.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023Article
- The impact of comorbid anxiety on quantitative EEG heterogeneity in children with attention-deficit/hyperactivity disorder.Frontiers in psychiatry · 2023Article
- The Role of Alpha Oscillations among the Main Neuropsychiatric Disorders in the Adult and Developing Human Brain: Evidence from the Last 10 Years of Research.Biomedicines · 2022Review
- Treatment biomarkers for ADHD: Taking stock and moving forward.Translational psychiatry · 2022Review
- Reduced Error Recognition Explains Post-Error Slowing Differences among Children with Attention Deficit Hyperactivity Disorder.Journal of the International Neuropsychological Society : JINS · 2022Article
- Heritability and Clinical Characteristics of Neuropsychological Profiles in Youth With and Without Elevated ADHD Symptoms.Journal of attention disorders · 2022Article
- A framework for characterizing heterogeneity in neurodevelopmental data using latent profile analysis in a sample of children with ADHD.Journal of neurodevelopmental disorders · 2022Article
- Characteristics of Attention-Deficit/Hyperactivity Disorder Subtypes in Children Classified Using Quantitative Electroencephalography.Neuropsychiatric disease and treatment · 2022Article
- What Has Been Learned from Using EEG Methods in Research of ADHD?Current topics in behavioral neurosciences · 2022Article
- Temperament Traits Mark Liability for Coexisting Psychiatric Symptoms in Children With Elevated ADHD Symptoms.Journal of attention disorders · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundAttention-deficit/hyperactivity disorder (ADHD) is a heterogeneous condition for which multiple efforts to characterize brain state differences are underway. The objective of this study was to identify distinct subgroups of resting electroencephalography (EEG) profiles among children with and without ADHD and subsequently provide extensive clinical characterization of the subgroups.
methodsLatent class analysis was used with resting state EEG recorded from a large sample of 781 children with and without ADHD (N = 620 ADHD, N = 161 Control), aged 6-18 years old. Behavioral and cognitive characteristics of the latent classes were derived from semistructured diagnostic interviews, parent completed behavior rating scales, and cognitive test performance.
resultsA five-class solution was the best fit for the data, of which four classes had a defining spectral power elevation. The distribution of ADHD and control subjects was similar across classes suggesting there is no one resting state EEG profile for children with or without ADHD. Specific latent classes demonstrated distinct behavioral and cognitive profiles. Those with elevated slow-wave activity (i.e. delta and theta band) had higher levels of externalizing behaviors and cognitive deficits. Latent subgroups with elevated alpha and beta power had higher levels of internalizing behaviors, emotion dysregulation, and intact cognitive functioning.
conclusionsThere is population-level heterogeneity in resting state EEG subgroups, which are associated with distinct behavioral and cognitive profiles. EEG measures may be more useful biomarkers of ADHD outcome or treatment response rather than diagnosis.
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