Open dataset for: "Delta-beta cross-frequency coupling as an index of stress regulation during social-evaluative threat"
Description
Open data and R analysis scripts for the paper as submitted for publication: "Poppelaars, E. S., Klackl, J., Pletzer, B., & Jonas, E. (2019). Delta-beta cross-frequency coupling as an index of stress regulation during social-evaluative threat." Hypotheses and analyses were preregistered: Poppelaars, E. S., Klackl, J., Pletzer, B., & Jonas, E. (2018). Delta-beta cross-frequency coupling as an index of stress regulation during social-evaluative threat. Open Science Framework. https://osf.io/8gchf/register/565fb3678c5e4a66b5582f67. Description of the dataset: A dataset of 37 men and 30 women (tested in the luteal phase of their menstrual cycle) participated in a public speaking task to induce social-evaluative threat. Responses of multiple stress systems were measured (sympathetic and parasympathetic nervous system activity, self-reported affect, and hypothalamic–pituitary–adrenal axis activity), as well as personality traits (e.g. trait social anxiety), and EEG delta-beta cross-frequency coupling (e.g., frontal and parietal amplitude-amplitude correlation and phase-amplitude coupling). Description of analyses files: - File 'SET_CFC_MatlabOutput.xlsx' contains the delta-beta coupling data, calculated using MATLAB scripts from https://github.com/ESPoppelaars/Cross-frequency-coupling. - File 'SETData.sav' contains the raw stress and personality data, taken from "Poppelaars, E. S., Klackl, J., Pletzer, B., Wilhelm, F. H., & Jonas, E. (2019). Open dataset for: “Social-evaluative threat: Stress response stages and influences of biological sex and neuroticism.” Mendeley Data. https://doi.org/10.17632/7vj8r76s6f". - File 'LSA_HSA_brief.RData' contains data to use as informed priors for the Bayesian analyses, calculated from data published as: "Poppelaars, E. S., Harrewijn, A., Westenberg, P. M., & van der Molen, M. J. W. (2018). Frontal delta-beta cross-frequency coupling in high and low social anxiety: An index of stress regulation? Cognitive, Affective, & Behavioral Neuroscience, 18(4), 764–777. https://doi.org/10.3758/s13415-018-0603-7". - File '01_CalculationOfData.R' imports the raw data, calculates new variables, and imputes missing data via multiple imputation using the 'predictorMatrixAdj.xlsx' file. - File '02_AnalysisOfImputedData.R' calculates descriptive statistics, creates plots, and tests hypotheses using t-tests, Bayesian statistics, and multiple lineair regressions. Also uses the custom functions: 'BF.evidence.R', 'cohen.d.magnitude.R' and 'p.value.sig.R', as well as the 'BF_t.R' file as taken from "Wiens, S. (2017). Aladins Bayes Factor in R. Stockholm University. https://doi.org/10.17045/sthlmuni.4981154.v3". - Files 'SET_CFC.outl.del.imp.RData' and 'SET_CFC.outl.del.imp.extra.RData' contain the imputed dataset that can be used to reproduce results from the paper.