Spectral parameterization for studying neurodevelopment: How and why.

ABSTRACT: A growing body of literature suggests that the explicit parameterization of neural power spectra is important for the appropriate physiological interpretation of periodic and aperiodic electroencephalogram (EEG) activity. In this paper, we discuss why parameterization is an imperative step for developmental cognitive neuroscientists interested in cognition and behavior across the lifespan, as well as how parameterization can be readily accomplished with an automated spectral parameterization ("specparam") algorithm (Donoghue et al., 2020a). We provide annotated code for power spectral parameterization, via specparam, in Jupyter Notebook and R Studio. We then apply this algorithm to EEG data in childhood (N = 60; M_age = 9.97, SD = 0.95) to illustrate its utility for developmental

SUBMITTER: Ostlund B 

PROVIDER: S-EPMC8792072 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature