aperiodic_algorithms

Aspiration: exhaustive overview of algorithmic approaches that decode aperiodic activity from electrophysiology.

• CGSA (1993)
• BOSC (2012)
• IRASA (2016)
• eBOSC (2020)
• FOOOF (2020) (renamed to specparam)
• ξ-π (2024)

Also note:

• methods in the time domain may prove useful (such as measures of entropy or complexity) (for an overview, see here)
• in-depth simulation-based comparison between FOOOF and IRASA shows that IRASA outperforms FOOOF only in case of no knee in the spectrum

CGSA

Coarse Graining Spectral Analysis Yamamoto, Y., & Hughson, R. L. (1993). Extracting fractal components from time series. Physica D: Nonlinear Phenomena, 68(2), 250-264.

BOSC

Better OSCillation detection Hughes, A. M., Whitten, T. A., Caplan, J. B., & Dickson, C. T. (2012). BOSC: A better oscillation detection method, extracts both sustained and transient rhythms from rat hippocampal recordings. Hippocampus, 22(6), 1417-1428.

IRASA

Irregular Resampling Auto-Spectral Analysis Wen, H., & Liu, Z. (2016). Separating fractal and oscillatory components in the power spectrum of neurophysiological signal. Brain topography, 29, 13-26.

eBOSC

extended Better OSCillation detection Kosciessa, J. Q., Grandy, T. H., Garrett, D. D., & Werkle-Bergner, M. (2020). Single-trial characterization of neural rhythms: Potential and challenges. NeuroImage, 206, 116331.

FOOOF

Fitting Oscillations & One Over F Donoghue, T., Haller, M., Peterson, E. J., Varma, P., Sebastian, P., Gao, R., ... & Voytek, B. (2020). Parameterizing neural power spectra into periodic and aperiodic components. Nature neuroscience, 23(12), 1655-1665.

ξ-π

Hu, S., Zhang, Z., Zhang, X., Wu, X., & Valdes-Sosa, P. A. (2024). $\xi $-$\pi $: a nonparametric model for neural power spectra decomposition. IEEE Journal of Biomedical and Health Informatics.