Simultaneous Dataset of Brain, Eye and Hand during Visuomotor Tasks
Abstract Visuomotor integration is a complex skill set encompassing many fundamental abilities, such as visual search, attention monitoring, and motor control. To explore the dynamic interplay between visual inputs and motor outputs, it is necessary to simultaneously record multiple brain activities...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04227-7 |
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| author | Hao Zhang Yiqing Hu Yang Li Shuangyu Zhang XiaoLi Li Chenguang Zhao |
| author_facet | Hao Zhang Yiqing Hu Yang Li Shuangyu Zhang XiaoLi Li Chenguang Zhao |
| author_sort | Hao Zhang |
| collection | DOAJ |
| description | Abstract Visuomotor integration is a complex skill set encompassing many fundamental abilities, such as visual search, attention monitoring, and motor control. To explore the dynamic interplay between visual inputs and motor outputs, it is necessary to simultaneously record multiple brain activities with high temporal and spatial resolution, as well as to record implicit and explicit behaviors. However, there is a lack of public datasets that provide simultaneous multiple modalities during a visual-motor task. Functional near-infrared spectroscopy and electroencephalography to record brain activity simultaneously facilitate more precise capture of the complex visuomotor of brain mechanisms. Additionally, by employing a combined eye movement and manual response, it is possible to fully evaluate the effects of visuomotor outputs from implicit and explicit dimensions. We recorded whole-brain EEG (34 electrodes) and fNIRS (44 channels) covering the frontal and parietal cortex along with eye movements, behavior sampling, and operant behavior. The dataset underwent rigorous synchronization, quality control to highlight the effectiveness of our experiments and to demonstrate the high quality of our multimodal data framework. |
| format | Article |
| id | doaj-art-f681e77eb3e44d68b627f9c655184a73 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-f681e77eb3e44d68b627f9c655184a732025-02-02T12:08:21ZengNature PortfolioScientific Data2052-44632025-01-0112111510.1038/s41597-024-04227-7Simultaneous Dataset of Brain, Eye and Hand during Visuomotor TasksHao Zhang0Yiqing Hu1Yang Li2Shuangyu Zhang3XiaoLi Li4Chenguang Zhao5School of Systems Science, Beijing Normal UniversityDepartment of Bioengineering, the University of Texas at ArlingtonChinese Institute for Brain ResearchDepartment of psychology and behavioral sciences, Zhejiang UniversitySchool of Automation Science and Engineering, South China University of TechnologyChinese Institute for Brain ResearchAbstract Visuomotor integration is a complex skill set encompassing many fundamental abilities, such as visual search, attention monitoring, and motor control. To explore the dynamic interplay between visual inputs and motor outputs, it is necessary to simultaneously record multiple brain activities with high temporal and spatial resolution, as well as to record implicit and explicit behaviors. However, there is a lack of public datasets that provide simultaneous multiple modalities during a visual-motor task. Functional near-infrared spectroscopy and electroencephalography to record brain activity simultaneously facilitate more precise capture of the complex visuomotor of brain mechanisms. Additionally, by employing a combined eye movement and manual response, it is possible to fully evaluate the effects of visuomotor outputs from implicit and explicit dimensions. We recorded whole-brain EEG (34 electrodes) and fNIRS (44 channels) covering the frontal and parietal cortex along with eye movements, behavior sampling, and operant behavior. The dataset underwent rigorous synchronization, quality control to highlight the effectiveness of our experiments and to demonstrate the high quality of our multimodal data framework.https://doi.org/10.1038/s41597-024-04227-7 |
| spellingShingle | Hao Zhang Yiqing Hu Yang Li Shuangyu Zhang XiaoLi Li Chenguang Zhao Simultaneous Dataset of Brain, Eye and Hand during Visuomotor Tasks Scientific Data |
| title | Simultaneous Dataset of Brain, Eye and Hand during Visuomotor Tasks |
| title_full | Simultaneous Dataset of Brain, Eye and Hand during Visuomotor Tasks |
| title_fullStr | Simultaneous Dataset of Brain, Eye and Hand during Visuomotor Tasks |
| title_full_unstemmed | Simultaneous Dataset of Brain, Eye and Hand during Visuomotor Tasks |
| title_short | Simultaneous Dataset of Brain, Eye and Hand during Visuomotor Tasks |
| title_sort | simultaneous dataset of brain eye and hand during visuomotor tasks |
| url | https://doi.org/10.1038/s41597-024-04227-7 |
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