Human brain local field potential recordings during a battery of multilingual cognitive and eye-tracking tasks

Intracranial human brain recordings from multiple implanted depth electrodes using stereo-EEG (sEEG) technology for seizure localization provide unique local field potential signals (LFP) sampled with standard macro- and special micro-electrode contacts. Over one hundred macro- and micro-contact LFP signals localized in particular brain regions were recorded from each sEEG monitoring case as patients engaged in an automated battery of verbal memory and non-verbal gaze movement tasks. Subject eye and vocal responses in both visual and auditory task versions were automatically detected in Polish, Czech, and Slovak languages with accurate timing of the correct and incorrect verbal responses using our web-based transcription tool. The behavioral events, LFP and pupillometric signals were synchronized and stored in a standard BIDS data structure with corresponding metadata. Each dataset contains recordings from at least one battery task performed over at least one day. The same set of 180 common nouns in the three languages was used across different battery tasks and recording days to enable the analysis of selective responses to specific word stimuli.

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Publication Details

Journal
Scientific Data
Published
2025-05-28
DOI
https://doi.org/10.1038/s41597-025-05222-2
Citations
2
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
2.86

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article

Human brain local field potential recordings during a battery of multilingual cognitive and eye-tracking tasks

Martin Kojan, Martin Pail, A. Weiser, Paul Daniel et al.
2 citations
Scientific Data
EEG and Brain-Computer Interfaces
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article

Human brain local field potential recordings during a battery of multilingual cognitive and eye-tracking tasks

Martin Kojan, Martin Pail, A. Weiser, Paul Daniel, Lenka Jurkovičová, Michał T. Kucewicz, Leonardo Rivera, Jaromír Doležal, Bożena Kostek, Róbert Román, Jan Cimbálník, Tymoteusz Skok, Władysław Średniawa, Astrid L.H.M.W. van Lier, Sahar Seifzadeh, Nastaran Hamedi, Peter Christoph Reinacher, Wojciech Fortuna, Katarzyna Smarzewska, Andrzej Czyżewski, Jesús S. García‐Salinas, Paweł Tabakow, Milan Brázdil, Tomasz Piernicki, S. Prathapagiri, M. Sluzewska-Niedzwiedz, Marina Galanina, A Orzol
article en
2 citations

Abstract

Intracranial human brain recordings from multiple implanted depth electrodes using stereo-EEG (sEEG) technology for seizure localization provide unique local field potential signals (LFP) sampled with standard macro- and special micro-electrode contacts. Over one hundred macro- and micro-contact LFP signals localized in particular brain regions were recorded from each sEEG monitoring case as patients engaged in an automated battery of verbal memory and non-verbal gaze movement tasks. Subject eye and vocal responses in both visual and auditory task versions were automatically detected in Polish, Czech, and Slovak languages with accurate timing of the correct and incorrect verbal responses using our web-based transcription tool. The behavioral events, LFP and pupillometric signals were synchronized and stored in a standard BIDS data structure with corresponding metadata. Each dataset contains recordings from at least one battery task performed over at least one day. The same set of 180 common nouns in the three languages was used across different battery tasks and recording days to enable the analysis of selective responses to specific word stimuli.

Scientific DataVol. 12(1)
Central European Institute of Technology (CZ), Gdańsk University of Technology (PL), Masaryk University (CZ), Wroclaw Medical University (PL), University of Gdańsk (PL), Central European Institute of Technology – Masaryk University (CZ), University Hospital Brno (CZ), International Clinical Research Center, St. Anne's University Hospital Brno (CZ), St. Anne's University Hospital Brno (CZ), Mayo Clinic in Florida (US), Czech Technical University in Prague (CZ)
Grantová Agentura České Republiky, Narodowe Centrum Nauki
Quality Education
Openalex Percentile: Top 10%
EEG and Brain-Computer Interfaces
2.86
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