State-dependent alpha peak frequency shifts: experimental evidence, potential mechanisms and functional implications. Inter- and intra-individual variability in alpha peak frequency. Haegens, S., Cousijn, H., Wallis, G., Harrison, P. Alpha and beta event-related desynchronization. Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis. Electrocorticograms in man: effect of voluntary movement upon the electrical activity of the precentral gyrus. Scale-free brain activity: past, present, and future. Scaling brain size, keeping timing: evolutionary preservation of brain rhythms. Dynamic network communication as a unifying neural basis for cognition, development, aging, and disease. Oscillatory dynamics coordinating human frontal networks in support of goal maintenance. A mechanism for cognitive dynamics: neuronal communication through neuronal coherence. Neuronal oscillations in cortical networks. Dynamic predictions: oscillations and synchrony in top–down processing. We validate this algorithm on simulated data, and demonstrate how it can be used in applications ranging from analyzing age-related changes in working memory to large-scale data exploration and analysis.Įngel, A. This algorithm requires no a priori specification of frequency bands. To overcome these limitations, we introduce an algorithm to parameterize neural power spectra as a combination of an aperiodic component and putative periodic oscillatory peaks. We show that standard analytic approaches can conflate periodic parameters (center frequency, power, bandwidth) with aperiodic ones (offset, exponent), compromising physiological interpretations. Electrophysiological neural activity is typically analyzed using canonically defined frequency bands, without consideration of the aperiodic (1/f-like) component. Emerging evidence demonstrates that the aperiodic component has putative physiological interpretations and that it dynamically changes with age, task demands and cognitive states. Periodic oscillations have been linked to numerous physiological, cognitive, behavioral and disease states. Electrophysiological signals exhibit both periodic and aperiodic properties.
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