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Methodological Reliability and Stability of Individualized Alpha Frequencies: Implications for Future Precise
Chuanliang Han1, Zihua Jiang2, Xiran Liang3
1School of Psychology, Shenzhen University, Shenzhen, China; Key Laboratory of Brain Cognition and Emotional Health of Guangdong Higher Education Institutes, Shenzhen University, Shenzhen, China; Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen, China.
Personalized neuromodulation relies on stable alpha rhythms. Resting-state electroencephalography (EEG) shows alpha peak frequency is robustly estimated with eyes-closed conditions, crucial for effective brain stimulation.
Area of Science:
- Neuroscience
- Brain Stimulation
- Cognitive Enhancement
Background:
- Alpha band (8-13 Hz) is key for personalized neuromodulation targeting the prefrontal cortex.
- Individualized stimulation frequencies are derived from resting-state alpha rhythms.
- Current methods for estimating alpha rhythms have unresolved issues.
Purpose of the Study:
- To systematically examine alpha band frequency characteristics using multiple estimation methods.
- To assess the stability of alpha peak frequency estimation under different conditions (eyes-open vs. eyes-closed).
- To evaluate the longitudinal stability of alpha oscillations for optimizing neuromodulation.
Main Methods:
- Collected resting-state electroencephalography (EEG) data from 67 healthy individuals (eyes-open and eyes-closed).
- Acquired longitudinal EEG data from 21 individuals over 16 months (238 sessions).
- Applied multiple estimation methods to analyze alpha band frequency characteristics.
Main Results:
- Alpha peak estimation was unstable with eyes-open but robust with eyes-closed conditions.
- Frequencies estimated across methods were highly consistent in participants with prominent alpha peaks.
- Alpha oscillation frequency and power remained stable over extended longitudinal periods.
Conclusions:
- Eyes-closed resting-state EEG provides a stable and reliable method for estimating individual alpha frequencies.
- Findings support the use of eyes-closed alpha rhythms for optimizing personalized stimulation frequencies in neuromodulation.
- This research contributes to developing more targeted and effective brain stimulation interventions.