ArticleFrontiers in computational neuroscience2022
Compensatory mechanism of attention-deficit/hyperactivity disorder recovery in resting state alpha rhythms.
Article in Frontiers in computational neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Executive function and neural oscillations in adults with attention-deficit/hyperactivity disorder: a systematic review.Frontiers in neuroscience · 2025Pooled it
- Neural oscillation in bipolar disorder: a systematic review of resting-state electroencephalography studies.Frontiers in neuroscience · 2024Pooled it
- Differentiation between bipolar disorder and major depressive disorder in adolescents: from clinical to biological biomarkers.Frontiers in human neuroscience · 2023Pooled it
- Distinct origins of human low and high alpha rhythms revealed by simultaneous EEG-SEEG.Communications biology · 2026Article
- Quantitative electroencephalography as a next-generation tool in neurodiagnostics: significance, clinical applications, and practical interpretative frameworks.Frontiers in neuroscience · 2026Review
- Distinct oscillatory mechanisms in low and high alpha-band activities for screening and potential treatment of Schizophrenia.Translational psychiatry · 2025Article
- Distinct Mechanisms of Multiple Alpha-Band Activities in Frontal Regions Following an 8-Week Medium- (Yoga) and High-Intensity (Pamela) Exercise Intervention.CNS neuroscience & therapeutics · 2025Article
- Monitoring Sleep Quality Through Low α-Band Activity in the Prefrontal Cortex Using a Portable Electroencephalogram Device: Longitudinal Study.Journal of medical Internet research · 2025Article
- Neural Oscillations in the Somatosensory and Motor Cortex Distinguish Dexmedetomidine-Induced Anesthesia and Sleep in Rats.CNS neuroscience & therapeutics · 2025Article
- Reducing maladaptive behavior in neuropsychiatric disorders using network modification.Frontiers in psychiatry · 2024Article
- EEG-based major depressive disorder recognition by neural oscillation and asymmetry.Frontiers in neuroscience · 2024Article
- Executive function elevated by long term high-intensity physical activity and the regulation role of beta-band activity in human frontal region.Cognitive neurodynamics · 2023Article
- Periodic Characteristics of Hepatitis Virus Infections From 2013 to 2020 and Their Association With Meteorological Factors in Guangdong, China: Surveillance Study.JMIR public health and surveillance · 2023Article
- Research on brain functions related to visual information processing and body coordination function of pilots based on the low-frequency amplitude method.Frontiers in human neuroscience · 2023Article
- Neural basis of the attention bias during addiction stroop task in methamphetamine-dependent patients with and without a history of psychosis: an ERP study.Frontiers in psychology · 2023Article
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Alpha rhythms in the human electroencephalogram (EEG), oscillating at 8-13 Hz, are located in parieto-occipital cortex and are strongest when awake people close their eyes. It has been suggested that alpha rhythms were related to attention-related functions and mental disorders (e.g., Attention-deficit/hyperactivity disorder (ADHD)). However, many studies have shown inconsistent results on the difference in alpha oscillation between ADHD and control groups. Hence it is essential to verify this difference. In this study, a dataset of EEG recording (128 channel EGI) from 87 healthy controls (HC) and 162 ADHD (141 persisters and 21 remitters) adults in a resting state with their eyes closed was used to address this question and a three-gauss model (summation of baseline and alpha components) was conducted to fit the data. To our surprise, the power of alpha components was not a significant difference among the three groups. Instead, the baseline power of remission and HC group in the alpha band is significantly stronger than that of persister groups. Our results suggest that ADHD recovery may have compensatory mechanisms and many abnormalities in EEG may be due to the influence of behavior rather than the difference in brain signals.
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