Brady, B., & Bardouille, T. (2022). Periodic/Aperiodic parameterization of transient oscillations (PAPTO)–Implications for healthy ageing. NeuroImage, 251, 118974.
Python 100.00%
papto's Introduction
Periodic/Aperiodic Paramterization of Transient Oscillations (PAPTO)
As introduced in:
Brady, B., & Bardouille, T. (2022) Periodic/Aperiodic Parameterization of Transient Oscillations (PAPTO): Implications for Healthy Ageing. (Accepted to NeuroImage)
doi:
PAPTO is a a novel algorithm to detect transient spectral events in extracranial neurophysiological recordings (MEG & EEG) where the spectral event properties are disambiguated from the backgorund aperiodic activity. PAPTO is an integration of the fooof algorithm from Donoghue et al., 2020 (https://fooof-tools.github.io/fooof/) with the spectral events detection algorithm from Shin et al., 2017 (https://github.com/hs13/BetaEvents).
Dependencies:
numpy: 1.16.4
pandas: 0.24.2
scipy: 1.2.0
fooof: 1.0.0