Pupillometry and electroencephalography in the digit span task.
Yuri G PavlovDauren KasanovAlexandra I KosachenkoAlexander I KotyusovNiko A BuschPublished in: Scientific data (2022)
This dataset consists of raw 64-channel EEG, cardiovascular (electrocardiography and photoplethysmography), and pupillometry data from 86 human participants recorded during 4 minutes of eyes-closed resting and during performance of a classic working memory task - digit span task with serial recall. The participants either memorized or just listened to sequences of 5, 9, or 13 digits presented auditorily every 2 seconds. The dataset can be used for (1) developing algorithms for cognitive load discrimination and detection of cognitive overload; (2) studying neural (event-related potentials and brain oscillations) and peripheral (electrocardiography, photoplethysmography, and pupillometry) physiological signals during encoding and maintenance of each sequentially presented memory item; (3) correlating cognitive load and individual differences in working memory to neural and peripheral physiology, and studying the relationship between the physiological signals; (4) integration of the physiological findings with the vast knowledge coming from behavioral studies of verbal working memory in simple span paradigms. The data are shared in Brain Imaging Data Structure (BIDS) format and freely available on OpenNeuro ( https://openneuro.org/datasets/ds003838 ).
Keyphrases
- working memory
- heart rate
- transcranial direct current stimulation
- electronic health record
- attention deficit hyperactivity disorder
- big data
- resting state
- white matter
- machine learning
- endothelial cells
- high resolution
- healthcare
- multiple sclerosis
- heart rate variability
- blood pressure
- deep learning
- mass spectrometry
- rna seq
- psychometric properties
- case control