Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
| An fMRI Dataset for Concept Representation with Semantic Feature Annotations | |
Wang, Shaonan1,2 ; Zhang, Yunhao1,2; Zhang, Xiaohan1,2; Sun, Jingyuan1,2; Lin, Nan3,4; Zhang, Jiajun1,2; Zong, Chengqing1,2
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| Source Publication | SCIENTIFIC DATA
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| 2022-11-24 | |
| Volume | 9Issue:1Pages:9 |
| Corresponding Author | Wang, Shaonan(shaonan.wang@nlpr.ia.ac.cn) |
| Abstract | The neural representation of concepts is a focus of many cognitive neuroscience studies. Prior works studying concept representation with neural imaging data have been largely limited to concrete concepts. The use of relatively small and constrained sets of stimuli leaves open the question of whether the findings can generalize other concepts. We share an fMRI dataset in which 11 participants thought of 672 individual concepts, including both concrete and abstract concepts. The concepts were probed using words paired with images in which the words were selected to cover a wide range of semantic categories. Furthermore, according to the componential theories of concept representation, we collected the 54 semantic features of the 672 concepts comprising sensory, motor, spatial, temporal, affective, social, and cognitive experiences by crowdsourcing annotations. The quality assessment results verify this as a high-quality neuroimaging dataset. Such a dataset is well suited to study how the brain represents different semantic features and concepts, creating the essential condition to investigate the neural representation of individual concepts. |
| DOI | 10.1038/s41597-022-01840-2 |
| Indexed By | SCI |
| Language | 英语 |
| WOS Research Area | Science & Technology - Other Topics |
| WOS Subject | Multidisciplinary Sciences |
| WOS ID | WOS:000887909800001 |
| Publisher | NATURE PORTFOLIO |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/50777 |
| Collection | 模式识别国家重点实验室_自然语言处理 |
| Corresponding Author | Wang, Shaonan |
| Affiliation | 1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing, Peoples R China 4.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China |
| First Author Affilication | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| Corresponding Author Affilication | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| Recommended Citation GB/T 7714 | Wang, Shaonan,Zhang, Yunhao,Zhang, Xiaohan,et al. An fMRI Dataset for Concept Representation with Semantic Feature Annotations[J]. SCIENTIFIC DATA,2022,9(1):9. |
| APA | Wang, Shaonan.,Zhang, Yunhao.,Zhang, Xiaohan.,Sun, Jingyuan.,Lin, Nan.,...&Zong, Chengqing.(2022).An fMRI Dataset for Concept Representation with Semantic Feature Annotations.SCIENTIFIC DATA,9(1),9. |
| MLA | Wang, Shaonan,et al."An fMRI Dataset for Concept Representation with Semantic Feature Annotations".SCIENTIFIC DATA 9.1(2022):9. |
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