Neural Oscillation Features of ADHD Symptoms in Children: EEG Evidence from Resting State and Oddball Task
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| Title: | Neural Oscillation Features of ADHD Symptoms in Children: EEG Evidence from Resting State and Oddball Task |
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| Language: | English |
| Authors: | Siyuan Zhang, Shuting Yu, Xiaobing Cui, Lixia Liang, Xuebing Li (ORCID |
| Source: | Journal of Attention Disorders. 2026 30(4):552-565. |
| Availability: | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
| Peer Reviewed: | Y |
| Page Count: | 14 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Children, Attention Deficit Hyperactivity Disorder, Brain, Biofeedback, Severity (of Disability), Symptoms (Individual Disorders), Attention Span, Measures (Individuals), Performance Tests, Intelligence Tests, Child Behavior, Check Lists, Rating Scales |
| Assessment and Survey Identifiers: | Continuous Performance Test, Raven Progressive Matrices, Child Behavior Checklist, Conners Rating Scales |
| DOI: | 10.1177/10870547251405008 |
| ISSN: | 1087-0547 1557-1246 |
| Abstract: | Objective: The aim of this study was to explore neural oscillation features (resting-state+oddball-EROs) of ADHD symptoms in children in a dimensional approach and to construct a multi-metric model combining objective EEG measures and subjective parental ratings to predict children's behavioral performance. Method: Seventy-seven children (age range: 6-12 years) participated in laboratory assessment. ADHD symptoms were first evaluated using the Integrated Visual and Auditory Continuous Performance Test (IVA-CPT), followed by EEG recordings during both resting-state and oddball task conditions. Three parent rating scales were also used to evaluate children's behavioral performance: the ADHD Rating Scale-IV (ADHD RS-IV): Home Version, the Child Behavior Checklist (CBCL), and the Conners' Parent Rating Scales (CPRS). Results: Seventy-one children with valid IVA-CPT results were included in data analysis. The main results revealed a relationship between poorer attention performance and decreased eye-open alpha1 power in the resting state, reduced N2 delta power in the oddball condition, and elevated non-delta band power in the standard condition of the oddball task. Poorer response control performance was associated with increased eye-closed alpha1 power, as well as increased eyeopen alpha2 and beta2 power. Stepwise regression analysis showed that the inattention subscale from parental assessments on the RS-IV, combined with P3 alpha power in the standard condition of the oddball task, was the strongest predictor of children's attention performance. Conclusion: The current study identified important neural oscillation features of ADHD symptoms in both the resting state and during an oddball task and offers new insights into multi-metric prediction for ADHD assessment and diagnosis. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1499931 |
| Database: | ERIC |
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| Abstract: | Objective: The aim of this study was to explore neural oscillation features (resting-state+oddball-EROs) of ADHD symptoms in children in a dimensional approach and to construct a multi-metric model combining objective EEG measures and subjective parental ratings to predict children's behavioral performance. Method: Seventy-seven children (age range: 6-12 years) participated in laboratory assessment. ADHD symptoms were first evaluated using the Integrated Visual and Auditory Continuous Performance Test (IVA-CPT), followed by EEG recordings during both resting-state and oddball task conditions. Three parent rating scales were also used to evaluate children's behavioral performance: the ADHD Rating Scale-IV (ADHD RS-IV): Home Version, the Child Behavior Checklist (CBCL), and the Conners' Parent Rating Scales (CPRS). Results: Seventy-one children with valid IVA-CPT results were included in data analysis. The main results revealed a relationship between poorer attention performance and decreased eye-open alpha1 power in the resting state, reduced N2 delta power in the oddball condition, and elevated non-delta band power in the standard condition of the oddball task. Poorer response control performance was associated with increased eye-closed alpha1 power, as well as increased eyeopen alpha2 and beta2 power. Stepwise regression analysis showed that the inattention subscale from parental assessments on the RS-IV, combined with P3 alpha power in the standard condition of the oddball task, was the strongest predictor of children's attention performance. Conclusion: The current study identified important neural oscillation features of ADHD symptoms in both the resting state and during an oddball task and offers new insights into multi-metric prediction for ADHD assessment and diagnosis. |
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| ISSN: | 1087-0547 1557-1246 |
| DOI: | 10.1177/10870547251405008 |
