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Reliability of Spectral Features of Resting-State Brain Activity: A Magnetoencephalography Study
Eiichi Okumura1, Hideyuki Hoshi1,2, Hirofumi Morise1
1Medical Imaging Business Center, Ricoh Company, Ltd., Kanazawa, JPN.
Cureus
|January 22, 2024
Summary
Resting-state brain spectral parameters, including median frequency (MF) and individual alpha frequency (IAF), demonstrate high reliability for cognitive monitoring. These magnetoencephalography-derived measures are suitable for longitudinal studies and clinical use.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Cognitive Science
Background:
- Cognitive function is a critical indicator in medicine, with deterioration being a significant concern.
- Traditional neuropsychological assessments have limitations like practice effects.
- Resting-state brain oscillatory power, measured via magnetoencephalography (MEG), offers an alternative with spectral parameters less sensitive to practice effects.
Purpose of the Study:
- To quantify the within-participant reliability of spectral parameters (MF, IAF, SEF95, SSE) derived from resting-state MEG.
- To establish the clinical utility of these parameters for longitudinal monitoring and intervention evaluation.
- To validate previous findings on spectral parameter changes by comparing them against calculated reliability metrics.
Main Methods:
- Resting-state brain activity (eyes closed, 5 minutes) was recorded using MEG from 15 healthy adults.
- Four spectral parameters were calculated: median frequency (MF), individual alpha frequency (IAF), spectral edge frequency 95 (SEF95), and Shannon's spectral entropy (SSE).
- Within-participant reliability was quantified using the minimal detectable change (MDC) and intraclass correlation coefficient (ICC).
Main Results:
- All spectral parameters exhibited high reliability, with intraclass correlation coefficients (ICCs) ranging from 0.83 to 0.96.
- The minimal detectable change at 95% confidence interval (MDC95) for MF, IAF, SEF95, and SSE were 0.61 Hz, 0.44 Hz, 2.91 Hz, and 0.028, respectively.
- These MDC95 values were smaller than previously reported differences between healthy individuals and dementia patients, indicating genuine effects.
Conclusions:
- The spectral parameters derived from resting-state MEG are highly reliable for within-participant assessments.
- Observed changes in these parameters in previous studies reflect true biological effects, not measurement error.
- These findings support the clinical application of spectral parameters for cognitive monitoring and evaluating intervention outcomes.
