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Open data: Visual load does not decrease the auditory steady state response to 40-Hz amplitude-modulated tones

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posted on 2020-08-25, 08:27 authored by Stefan WiensStefan Wiens, Malina Szychowska
Open data: Visual load does not decrease the auditory steady state response to 40-Hz amplitude-modulated tones

The main results files are saved separately:

- ASSR_study1.html: R output of the main analyses
- ASSR_study1_subset_subjects.html: R output of the main analyses
- ASSR_study2.html: R output of the main analyses

The studies were preregistered:
Study 1: https://doi.org/10.17605/OSF.IO/UYJVA
Study 2: https://doi.org/10.17605/OSF.IO/JVMFD

DATA & FILE OVERVIEW

File List:
The files contain the raw data, scripts, and results of main and supplementary analyses of two electroencephalography (EEG) studies (Study1, Study2). Links to the hardware and software are provided under methodological information.

ASSR_study1_experiment_scripts.zip: contains the Python files to run the experiment.

ASSR_study1_rawdata.zip: contains raw datafiles for each subject

- data_EEG: EEG data in bdf format (generated by Biosemi)
- data_log: logfiles of the EEG session (generated by Python)
- data_WMC: logfiles of the working memory capacity task (generated by Python)

ASSR_study1_EEG_scripts.zip: Python-MNE scripts to process the EEG data

ASSR_study1_EEG_preprocessed.zip: Preprocessed EEG data from Python-MNE

ASSR_study1_analysis_scripts.zip: R scripts to analyze the data together with the main datafiles. The main files in the folder are:

- ASSR_study1.html: R output of the main analyses
- ASSR_study1_subset_subjects.html: R output of the main analyses but after excluding five subjects who were excluded because of stricter, preregistered artifact rejection criteria

ASSR_study1_figures.zip: contains all figures and tables that are created by Python-MNE and R.

ASSR_study2_experiment_scripts.zip: contains the Python files to run the experiment

ASSR_study2_rawdata.zip: contains raw datafiles for each subject

- data_EEG: EEG data in bdf format (generated by Biosemi)
- data_log: logfiles of the EEG session (generated by Python)
- data_WMC: logfiles of the working memory capacity task (generated by Python)

ASSR_study2_EEG_scripts.zip: Python-MNE scripts to process the EEG data

ASSR_study2_EEG_preprocessed.zip: Preprocessed EEG data from Python-MNE

ASSR_study2_analysis_scripts.zip: R scripts to analyze the data together with the main datafiles. The main files in the folder are:

- ASSR_study2.html: R output of the main analyses
- ASSR_compare_performance_between_studies.html: R output of analyses that compare behavioral performance between study 1 and study 2.

ASSR_study2_figures.zip: contains all figures and tables that are created by Python-MNE and R.

Instrument- or software-specific information needed to interpret the data:
MNE-Python (Gramfort A., et al., 2013): https://mne.tools/stable/index.html#
Rstudio used with R (R Core Team, 2016): https://rstudio.com/products/rstudio/
Wiens, S. (2017). Aladins Bayes Factor in R (Version 3). https://www.doi.org/10.17045/sthlmuni.4981154.v3




Funding

Vetenskapsrådet 2015-01181

History

Original language

  • English

Associated Publication

Szychowska M., & Wiens S. (2020). Visual load does not decrease the auditory steady state response (ASSR) to 40-Hz amplitude-modulated tones. Accepted for publication in Psychophysiology.