bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 3, 2024

Neural electrophysiological recordings arise from interacting rhythmic (oscillatory) and broadband (aperiodic) biological subprocesses. Both processes contribute to the neural power spectrum, which decomposes variance of a recording across frequencies. Although an extensive body literature has successfully studied rhythms in various diseases brain states, researchers only recently have systematically characteristics effects spectrum. Broadband can generally be categorized as 1) shifts all frequencies, correlate with changes local firing rates 2) overall shape such spectral slope or law exponent. Shape are evident conditions influenced by factors excitation inhibition balance, age, diseases. It is increasingly recognized that interact on sub-second timescale. For example, time-locked phase <1 Hz propofol induced unconsciousness. Modeling tools explicitly deal both contributors spectrum capture their interactions essential help improve interpretability effects. Here, we introduce tractable stochastic forward modeling framework designed narrowband when prior knowledge theory about primary biophysical involved available. Population-level modeled sum filtered point (FPPs), each representing contribution different process action potentials postsynaptic types. Our approach builds neuroscience FPP work allowing multiple time-varying deriving theoretical spectra cross-spectra. We demonstrate several properties models, including they divide into frequency ranges dominated effects, timescales, cross-frequency coupling. The used interpret empirically observed coupling terms, bridges gap between models experimental results.

Language: Английский