Transfreq: A Python package for computing the theta-to-alpha transition frequency from resting state electroencephalographic data.

ABSTRACT: A classic approach to estimate individual theta-to-alpha transition frequency (TF) requires two electroencephalographic (EEG) recordings, one acquired in a resting state condition and one showing alpha desynchronisation due, for example, to task execution. This translates into long recording sessions that may be cumbersome in studies involving patients. Moreover, an incomplete desynchronisation of the alpha rhythm may compromise TF estimates. Here we present transfreq, a publicly available Python library that allows TF computation from resting state data by clustering the spectral profiles associated to the EEG channels based on their content in alpha and theta bands. A detailed overview of transfreq core algorithm and software architecture is provided. Its effectiveness and robustness acr

SUBMITTER: Vallarino E 

PROVIDER: S-EPMC9812240 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature