An fMRI Dataset for Concept Representation with Semantic Feature Annotations

doi:10.1038/s41597-022-01840-2

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	An fMRI Dataset for Concept Representation with Semantic Feature Annotations
	Wang, Shaonan 3,4; Zhang, Yunhao 3,4; Zhang, Xiaohan 3,4; Sun, Jingyuan 3,4; Lin, Nan 1,2; Zhang, Jiajun 3,4; Zong, Chengqing 3,4
刊名	SCIENTIFIC DATA
	2022-11-24
卷号	9 期号:1 页码:9
DOI	10.1038/s41597-022-01840-2
通讯作者	Wang, Shaonan(shaonan.wang@nlpr.ia.ac.cn)
英文摘要	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.
WOS研究方向	Science & Technology - Other Topics
语种	英语
出版者	NATURE PORTFOLIO
WOS记录号	WOS:000887909800001
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/50776]
专题	模式识别国家重点实验室_自然语言处理
通讯作者	Wang, Shaonan
作者单位	1.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Beijing, Peoples R China 4.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China
推荐引用方式 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.