An Exploratory Age-Adjusted Model of Individual Alpha Peak Frequency in Healthy Older Adults: A FOOOF-Based Spectral Parametrization Study.
Overview
- Faculty of Psychology, Pontifical University of Salamanca, 37002 Salamanca, Spain
- Neuropsychophysiology Laboratory, NEPSA Rehabilitación Neurológica, 37003 Salamanca, Spain
- Computational and Translational Neuroscience Laboratory, 37003 Salamanca, Spain
Abstract
Individual alpha peak frequency (iAPF) is a stable neurophysiological marker associated with cognitive processing and healthy brain aging. However, the interpretation of alpha activity in older adults remains limited by the use of fixed canonical frequency bands, which may not adequately capture age-related slowing. The aim of this study was to develop an exploratory age-adjusted model of iAPF in cognitively healthy older adults using FOOOF-based spectral parameterization of resting-state EEG. Eighty-one participants aged 52–87 years were selected from the PDWAVES database. Resting-state, eyes-closed EEG recordings were analyzed over nine parieto-occipital electrodes, and iAPF was defined as the center frequency of the highest alpha peak within the 7–14 Hz range after separating periodic and aperiodic spectral components. Linear regression showed a significant negative association between age and iAPF, described by the equation iAPF = 13.22 − 0.054 × age (F(1,79) = 19.56, p < 0.001), indicating an average decrease of 0.54 Hz per decade. Age explained 19.8% of the variance (R2 = 0.198), with a mean iAPF of 9.527 ± 1.064 Hz. Bootstrap resampling confirmed that the age–iAPF association was statistically reliable (95% CI for the slope excluding zero), although cross-validation indicated limited predictive performance on held-out data (10-fold mean R2 = 0.019; LOOCV R2 = 0.155). These findings provide a preliminary age-adjusted reference equation for describing iAPF trajectories in healthy older adults at the group level and support the use of spectral parameterization as a more specific alternative to fixed-band approaches in aging research.
Reproduced under the paper's license (CC BY), from the paper cited above.
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Data
Datasets cited
- doi:10.25493/
8mvp-npn , at the source; found in “Data Availability Statement” - doi:10.25493/
fwhq-6w5 , at the source; found in the text, “2.1. Subjects”
Data Availability Statement
The data analyzed in this study were obtained through the eBRAIN-Health platform within the eBRAIN-Health project (HORIZON-INFRA-2021-TECH
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 5 keywords, 1 funder, 40 references.
Cite
This paper
Pérez-Elvira, R., Cordeiro, D., Juan, M. A., & Sánchez Cabaco, A. (2026). An Exploratory Age-Adjusted Model of Individual Alpha Peak Frequency in Healthy Older Adults: A FOOOF-Based Spectral Parametrization Study. European journal of investigation in health, psychology and education, 16(8), 110. https://
BibTeX
@article{perezelvira2026
author = {Pérez-Elvira, Rubén and Cordeiro, Daniel and Juan, María Agudo and Sánchez Cabaco, Antonio},
title = {{An Exploratory Age-Adjusted Model of Individual Alpha Peak Frequency in Healthy Older Adults: A FOOOF-Based Spectral Parametrization Study}},
journal = {European journal of investigation in health, psychology and education},
year = {2026},
month = jul,
volume = {16},
number = {8},
pages = {110},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
issn = {2174-8144},
doi = {10.3390/
url = {https://
pmid = {42645406},
pmcid = {PMC13512869}
}
RIS
TY - JOUR
AU - Pérez-Elvira, Rubén
AU - Cordeiro, Daniel
AU - Juan, María Agudo
AU - Sánchez Cabaco, Antonio
TI - An Exploratory Age-Adjusted Model of Individual Alpha Peak Frequency in Healthy Older Adults: A FOOOF-Based Spectral Parametrization Study
T2 - European journal of investigation in health, psychology and education
J2 - Eur J Investig Health Psychol Educ
PY - 2026
DA - 2026/
VL - 16
IS - 8
SP - 110
SN - 2174-8144
PB - Multidisciplinary Digital Publishing Institute (MDPI)
DO - 10.3390/
UR - https://
LA - en
ER -
CSL-JSON
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