The Nencki-Symfonia EEG/ERP dataset

<b>Dataset: </b>http://doi.org/10.5524/100990<br><b>Open-access article that describes the dataset:</b> https://doi.org/10.1093/gigascience/giac015<br>One of the primary goals of neuropsychology is to understand the brain mechanisms underlying various aspects of attention and cognitive control. Several tasks have been developed as a part of this body of research, however their results are not always consistent. A reliable comparison of the data and a synthesis of study conclusions has been precluded by multiple methodological differences. Here, we describe a publicly available, high-density electroencephalography (EEG) dataset obtained at the Nencki Institute of Experimental Biology from a sample of 42 healthy young adults while they performed three cognitive tasks: (1) an extended Multi-Source Interference Task (MSIT+) with control, Simon, Flanker, and multi-source interference trials; (2) a 3-stimuli oddball task with frequent standard, rare target, and rare distractor stimuli; (3) a control, simple reaction task (SRT); and additionally (4) a resting-state protocol (REST). Basic demographic and psychometric information are included within the dataset (including The Amsterdam Resting-state Questionnaire (ARSQ) and UWIST Mood Adjective Check List questionnaires).<br><br><b>Please cite the source, when this data is used:<br>Dzianok P, Antonova I, Wojciechowski J, Dreszer J, Kublik E. The Nencki-Symfonia electroencephalography/event-related potential dataset: Multiple cognitive tasks and resting-state data collected in a sample of healthy adults. Gigascience. 2022;11:giac015. doi:10.1093/gigascience/giac015</b>