The Nencki-Symfonia electroencephalography/event-related potential dataset: Multiple cognitive tasks and resting-state data collected in a sample of healthy adults.
Patrycja DzianokIngrida AntonovaJakub WojciechowskiJoanna DreszerEwa KublikPublished in: GigaScience (2022)
This dataset is well suited for neuropsychological research regarding common and distinct mechanisms involved in different cognitive tasks. Using this dataset, researchers can compare a wide range of classical EEG/ERP features across tasks for any selected subset of electrodes. At the same time, 128-channel EEG recording allows for source localization and detailed connectivity studies. Neurophysiological measures can be correlated with additional psychometric data obtained from the same participants. This dataset can also be used to develop and verify novel analytical and classification approaches that can advance the field of deep/machine learning algorithms, recognition of single-trial ERP responses to different task conditions, and detection of EEG/ERP features for use in brain-computer interface applications.
Keyphrases
- resting state
- functional connectivity
- machine learning
- working memory
- big data
- deep learning
- artificial intelligence
- electronic health record
- clinical trial
- study protocol
- randomized controlled trial
- mild cognitive impairment
- phase iii
- multiple sclerosis
- climate change
- mass spectrometry
- human health
- open label
- cerebral ischemia