Search
Intracranial electrophysiological recordings from the human brain during memory tasks with pupillometry
Abstract
Data comprise intracranial EEG (iEEG) brain activity represented by stereo EEG (sEEG) signals, recorded from over 100 electrode channels implanted in any one patient across various brain regions. The iEEG signals were recorded in epilepsy patients (N=10) undergoing invasive monitoring and localization of seizures when they were performing a battery of four memory tasks lasting approx. 1 hour in total. Gaze tracking on the task computer screen with estimating the pupil size was also recorded together with behavioral performance. Each dataset comes from one patient with anatomical localization of each electrode contact. Metadata contains labels for the recording channels with behavioral events marked from all tasks, including timing of correct and incorrect vocalization of the remembered stimuli. The iEEG and the pupillometric signals are saved in BIDS data structure to facilitate efficient data sharing and analysis.
Citations
-
4
CrossRef
-
0
Web of Science
-
3
Scopus
Authors (10)
-
Jan Cimbalnik
-
Jaromir Dolezal
-
Victoria Marks MSc
-
Boney Joseph
-
Martin Dobias
-
Jamie Van Gompel
-
Gregory Worrell
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1038/s41597-021-01099-z
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
Scientific Data
no. 9,
pages 1 - 10,
ISSN: 2052-4463 - Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Cimbalnik J., Dolezal J., Topcu C., Lech M., Marks V., Joseph B., Dobias M., Van Gompel J., Worrell G., Kucewicz M.: Intracranial electrophysiological recordings from the human brain during memory tasks with pupillometry// Scientific Data -,iss. 9/6 (2022), s.1-10
- DOI:
- Digital Object Identifier (open in new tab) 10.1038/s41597-021-01099-z
- Sources of funding:
- Verified by:
- Gdańsk University of Technology
seen 177 times
Recommended for you
Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance
- K. Saboo,
- Y. Varatharajah,
- B. M. Berry
- + 10 authors
How Can We Identify Electrophysiological iEEG Activities Associated with Cognitive Functions?
- M. Kucewicz,
- G. A. Worrell,
- K. Saboo
Behavioral state classification in epileptic brain using intracranial electrophysiology
- V. Kremen,
- J. J. Duque,
- B. Brinkmann
- + 7 authors