Normative characterization of age-related periodic and aperiodic activity in resting-state clinical EEG recordings
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Objective
Non-invasive oscillatory brain stimulation techniques target the oscillatory activity of the brain and have several potential therapeutic applications in the clinical context. The aim of these analyses from clinical routine EEG recordings was to provide normative values of physiological age-related oscillatory (periodic) and non-rhythmic (aperiodic) activity.
Methods
We analyzed 532 EEGs of patients between 8 and 92 years of age. EEG segments were preprocessed, and the power spectrum was computed using a multitaper method. We decomposed the power spectrum into periodic (peak power, frequency, and bandwidth) and aperiodic (intercept and exponent) components. Linear regression models were used to investigate age-related changes in these parameters.
Results
We observed significant global age-related changes in the periodic alpha (- 0.015 Hz/year) and gamma (+ 0.013 to + 0.031Hz/year) peak frequency as well as in the aperiodic exponent (- 0.003 to - 0.004 μV 2 /Hz/year). In the other parameters there were solely regional or no significant age-related changes.
Conclusions
Decomposing the power spectrum into periodic and aperiodic components allows for the characterization of age-related changes.
Significance
This study provides the first spectrum-wide normative characterization of age-related changes in periodic and aperiodic activity, relevant for non-invasive brain stimulation with alternating current targeting ongoing oscillatory activity.
Highlights
Alpha peak frequency decreases with age, while gamma peak frequency accelerates.
Age-related changes in alpha and theta power result from a flattening of the aperiodic slope, not decreased oscillatory activity
Decomposing the EEG spectrum into periodic and aperiodic activity is essential when characterizing ongoing oscillatory activity
