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Conducting Concurrent Electroencephalography and Functional Near-Infrared Spectroscopy Recordings with a Flanker Task
Published on: May 24, 2020
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Open access dataset integrating EEG and fNIRS during Stroop tasks.
Zemeng Chen1, Chenyang Gao1, Ting Li2
1Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300192, China.
Scientific Data
|September 12, 2023
Summary
This study introduces a novel dataset combining Electroencephalogram (EEG) and functional Near-infrared Spectroscopy (fNIRS) to measure brain activity during the Stroop task, aiding cognitive disorder research.
Area of Science:
- Cognitive Neuroscience
- Neuroimaging
- Human Brain Function
Background:
- Conflict monitoring is vital for cognition and diagnosing disorders.
- The Stroop task is a standard method for studying conflict processing.
- Existing datasets lack integrated EEG and fNIRS during the Stroop task.
Purpose of the Study:
- To present a novel, dual-modality dataset for cognitive neuroscience research.
- To facilitate the study of conflict processing using simultaneous EEG and fNIRS.
- To support the development of multimodal data processing algorithms.
Main Methods:
- Collected simultaneous 34-channel EEG and 20-channel fNIRS data during a Stroop task.
- Recorded data from 21 healthy participants (9 female, 12 male, aged 23.0 ± 2.3 years).
- Covered the entire frontal cerebral cortex with high temporal resolution.
Main Results:
- EEG event-related potential analysis revealed significant Stroop effects.
- fNIRS activation analysis demonstrated significant Stroop-related brain activity.
- The dataset successfully captures neural correlates of conflict processing.
Conclusions:
- The presented dataset is a valuable resource for cognitive neuroscience.
- It enables advanced research into multimodal brain activity during cognitive tasks.
- Future work can leverage this data for developing sophisticated analysis techniques.
