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Data Descriptor: Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset

Authors
Shin, Jaeyoungvon Luehmann, AlexanderKim, Do-WonMehnert, JanHwang, Han-JeongMueller, Klaus-Robert
Issue Date
13-2월-2018
Publisher
NATURE PUBLISHING GROUP
Citation
SCIENTIFIC DATA, v.5
Indexed
SCIE
SCOPUS
Journal Title
SCIENTIFIC DATA
Volume
5
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/77361
DOI
10.1038/sdata.2018.3
ISSN
2052-4463
Abstract
We provide an open access multimodal brain-imaging dataset of simultaneous electroencephalography (EEG) and near-infrared spectroscopy (NIRS) recordings. Twenty-six healthy participants performed three cognitive tasks: 1) n-back (0-, 2-and 3-back), 2) discrimination/selection response task (DSR) and 3) word generation (WG) tasks. The data provided includes: 1) measured data, 2) demographic data, and 3) basic analysis results. For n-back (dataset A) and DSR tasks (dataset B), event-related potential (ERP) analysis was performed, and spatiotemporal characteristics and classification results for 'target' versus 'non-target' (dataset A) and symbol 'O' versus symbol 'X' (dataset B) are provided. Time-frequency analysis was performed to show the EEG spectral power to differentiate the task-relevant activations. Spatiotemporal characteristics of hemodynamic responses are also shown. For the WG task (dataset C), the EEG spectral power and spatiotemporal characteristics of hemodynamic responses are analyzed, and the potential merit of hybrid EEG-NIRS BCIs was validated with respect to classification accuracy. We expect that the dataset provided will facilitate performance evaluation and comparison of many neuroimaging analysis techniques.
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Graduate School > Department of Electronics and Information Engineering > 1. Journal Articles
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