4/24 Extended Wake EEG and Pupillometry

Published: 22 May 2023| Version 1 | DOI: 10.17632/72k5vcwk7n.1
Contributor:
Sophia Snipes

Description

This is the data used in "How and when EEG reflects changes in neuronal connectivity due to time awake" (Snipes et al. 2023, iScience). The purpose of this dataset was to replicate Finelli et al. (2000, Neuroscience), and investigate what explains the changes in theta power with time awake. The dataset includes data from 18 young healthy adults recruited in Switzerland, collected in 2020. Participants performed three "tasks": a fixation, an auditory oddball, and standing with eyes closed, recorded at 12 timepoints (see publication). For space reasons, only some of the preprocessed data is included here. The rest of the data is available upon request. Included here are: the detected EEG bursts from all conditions (/Bursts), saved as both a .csv file and a structure saved in a .mat file; the preprocessed 123 channels EEG data of the Fixation condition (/Fixation), the raw pupillometry from the Fixation and Oddball (/Pupils), and the final individual averages used in the statistics of Table 1 and the scatterplot figures (/Metadata/Final_Data.csv). Anonymized information about the participants is in /Metadata/Participants.csv, information of the various fields of the burst structure are in /Metadata/BurstFieldData.csv, and values for normalizing pupillometry for each individual are in /Metadata/IrisDiameters.csv.

Files

Steps to reproduce

The code used to produce and analyze this data are here: https://zenodo.org/badge/latestdoi/508216437 The library used to detect bursts is here: https://zenodo.org/badge/latestdoi/507885968 Detailed information is provided in the associated publication.

Institutions

Universitats-Kinderspital Zurich

Categories

Pupillometry, Electroencephalography

Funding

Swiss National Science Foundation

320030_179443

Licence