Data Descriptor: Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset
- Title
- Data Descriptor: Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset
- Author
- 신재영
- Keywords
- BRAIN-COMPUTER INTERFACES; BCI; COMMUNICATION; COMPETITION; OPERATE; IMAGERY
- Issue Date
- 2018-02
- Publisher
- NATURE PUBLISHING GROUP
- Citation
- SCIENTIFIC DATA, v. 5, Article no. 180003
- 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.
- URI
- https://www.nature.com/articles/sdata20183https://repository.hanyang.ac.kr/handle/20.500.11754/117504
- ISSN
- 2052-4463
- Appears in Collections:
- RESEARCH INSTITUTE[S](부설연구소) > INSTITUTE OF BIOMEDICAL ENGINEERING(의공학연구소) > Articles
- Files in This Item:
- Data Descriptor Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset.pdfDownload
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