These codes were created to pre-process and analyze data described in 'The search for the relationship between female hormonal status, alpha oscillations, and aperiodic features of resting state EEG ' by Gaizauskaite et al.
EEG data underwent pre-processing using the MATLAB-based EEGLAB toolbox (version 2020.0). The codes used for pre-processing can be found in the preprocessing folder. Steps 2 and 3 are omitted, as artifact rejection was performed manually and ICA weights were calculated using the Darbeliai v2022.12.22.1 toolbox (https://github.com/embar-/eeglab_darbeliai/blob/master/README.txt), which employs a drop-down menu interface for operation.
To determine the 1/f decay of the power spectral density in the resting state we used the fooof algorithm implemented in Python (details: https://fooof-tools.github.io/fooof/index.html). Additionally, custom MATLAB scripts were used for extracting individual alpha frequency and alpha power. These codes are located in the analysis folder.
Statistical analysis was conducted using the R programming language. Codes for statistical analysis are located in Statistical analysis folder.
The codes are grouped into folders according to the analysis stages.
We performed additional analysis to compare our results to the ones that were previously published by a different research group. You can find more details about these analyses in the paper mentioned above.