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A synchronized multimodal neuroimaging dataset for studying brain language processing

文献类型：期刊论文

作者Wang, Shaonan1,2; Zhang, Xiaohan1,2; Zhang, Jiajun1,2; Zong, Chengqing1,2
刊名SCIENTIFIC DATA
出版日期2022-09-30
卷号9期号:1页码:10
DOI10.1038/s41597-022-01708-5
通讯作者Wang, Shaonan(shaonan.wang@nlpr.ia.ac.cn)
英文摘要We present a synchronized multimodal neuroimaging dataset for studying brain language processing (SMN4Lang) that contains functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) data on the same 12 healthy volunteers while the volunteers listened to 6 hours of naturalistic stories, as well as high-resolution structural (T1, T2), diffusion MRI and resting-state fMRI data for each participant. We also provide rich linguistic annotations for the stimuli, including word frequencies, syntactic tree structures, time-aligned characters and words, and various types of word and character embeddings. Quality assessment indicators verify that this is a high-quality neuroimaging dataset. Such synchronized data is separately collected by the same group of participants first listening to story materials in fMRI and then in MEG which are well suited to studying the dynamic processing of language comprehension, such as the time and location of different linguistic features encoded in the brain. In addition, this dataset, comprising a large vocabulary from stories with various topics, can serve as a brain benchmark to evaluate and improve computational language models. Measurement(s) functional brain measurement center dot Magnetoencephalography Technology Type(s) Functional Magnetic Resonance Imaging center dot Magnetoencephalography Factor Type(s) naturalistic stimuli listening Sample Characteristic - Organism humanbeings
WOS关键词SPEECH
资助项目Natural Science Foundation of China[62036001] ; Natural Science Foundation of China[61906189] ; independent research project of National Laboratory of Pattern Recognition
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000862416100003
出版者NATURE PORTFOLIO
资助机构Natural Science Foundation of China ; independent research project of National Laboratory of Pattern Recognition
源URL[http://ir.ia.ac.cn/handle/173211/50449]  
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, Sch Artificial Intelligence, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Shaonan,Zhang, Xiaohan,Zhang, Jiajun,et al. A synchronized multimodal neuroimaging dataset for studying brain language processing[J]. SCIENTIFIC DATA,2022,9(1):10.
APA Wang, Shaonan,Zhang, Xiaohan,Zhang, Jiajun,&Zong, Chengqing.(2022).A synchronized multimodal neuroimaging dataset for studying brain language processing.SCIENTIFIC DATA,9(1),10.
MLA Wang, Shaonan,et al."A synchronized multimodal neuroimaging dataset for studying brain language processing".SCIENTIFIC DATA 9.1(2022):10.

入库方式： OAI收割

来源：自动化研究所

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