Resting-state alpha and mu rhythms change shape across development but lack diagnostic sensitivity for ADHD and autism
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View abstract on PubMed
Summary
This summary is machine-generated.Alpha and mu brain rhythms show non-sinusoidal waveform shapes that change with development. These brain oscillations did not differ between typically developing children and those with ADHD or ASD.
Area Of Science
- Neuroscience
- Developmental Neuroscience
- Computational Neuroscience
Background
- Alpha and mu rhythms are prominent human brain oscillations.
- These rhythms are crucial for gating sensory information.
- Separating mixed alpha and mu rhythms from EEG data is challenging.
Purpose Of The Study
- To isolate and analyze alpha and mu rhythms from EEG data in a large cohort of children.
- To characterize the developmental changes in the waveform shape of these rhythms.
- To investigate potential differences in alpha-band rhythms associated with ADHD and ASD.
Main Methods
- Utilized a computationally efficient pipeline for EEG data processing without manual cleaning.
- Isolated alpha and/or mu rhythms from 1605 children (aged 5-18).
- Analyzed cycle-by-cycle waveform shape and oscillatory frequency over development.
Main Results
- Demonstrated significant, nonsinusoidal waveform shape changes in alpha and mu rhythms across development.
- Observed significant changes in oscillatory frequency with age.
- Found no significant differences in resting-state alpha-band rhythm features for ADHD or ASD groups compared to controls.
Conclusions
- Alpha and mu rhythm waveform shape exhibits significant developmental trajectories.
- Nonsinusoidal properties of these rhythms, often overlooked by spectral analysis, may inform generative models.
- Resting-state alpha-band oscillatory measures did not differentiate ADHD or ASD in this cohort.
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