State-dependent alpha peak frequency shifts: Experimental evidence, potential mechanisms and functional implications.

By A. Mierau, Wolfgang Klimesch, J. Lefebvre. 2017

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In Cognitive Neuroscience

Citations in the corpus

ROC Analysis of Biomarker Combinations in Fragile X Syndrome-Specific Clinical Trials: Evaluating Treatment Efficacy via Exploratory Biomarkers (2025, unknown): “Future work will be necessary to validate PAF in larger sample sizes to assess the extent to which BPN14770 modulates cognition-related biomarkers in FXS.”
Resting-state EEG correlates of sustained attention in healthy ageing: Cross-sectional findings from the LEISURE study. (2024, background): “Specifically, alterations in the alpha frequency band (~8 – 12 Hz), most prominent over occipital and parietal brain regions during eyes closed waking rest (Mierau et al., 2017), have been associated with cognitive processes (Foxe and Snyder, 2011; Klimesch, 1999; Palva and Palva, 2007).”
Aging amplifies sex differences in low alpha and low beta EEG oscillations (2024, unknown): “Other studies on adults have examined how EEG features change with age, revealing that alpha oscillations decrease with age (Joffe et al., 2021; Scally et al., 2018; Mierau et al., 2017; Park et al., 2024), while beta oscillations increase.”
Rhythmicity Revisited: Evidence from Robust Behavioral Oscillations (2025, unknown): “Frequency shifts have been repeatedly observed in EEG 15,16,27–31 , but the evidence for behavioral shifts remains limited.”
Spatiotemporal patterns of theta-band activity during rapid-eye movement sleep: a magnetoencephalography analysis (2024, background): “The amplitude and even peak frequency of alpha activity is known to change across states of consciousness including sleep stages and anesthesia (Mierau et al., 2017; Purdon et al., 2015).”
Day‐to‐day individual alpha frequency variability measured by a mobile EEG device relates to anxiety (2023, result): “In contrast, studies analysing second-to-second dynamics of alpha oscillations have found significant fluctuations in the IAF, perhaps representing state-like features such as different levels of neuronal activation or fluctuations in arousal (Mierau et al., 2017; Stitt et al., 2018).”