CASIA OpenIR  > 模式识别国家重点实验室  > 自然语言处理
A synchronized multimodal neuroimaging dataset for studying brain language processing
Wang, Shaonan1,2; Zhang, Xiaohan1,2; Zhang, Jiajun1,2; Zong, Chengqing1,2
Source PublicationSCIENTIFIC DATA
2022-09-30
Volume9Issue:1Pages:10
Corresponding AuthorWang, Shaonan(shaonan.wang@nlpr.ia.ac.cn)
AbstractWe 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
DOI10.1038/s41597-022-01708-5
WOS KeywordSPEECH
Indexed BySCI
Language英语
Funding ProjectNatural Science Foundation of China[62036001] ; Natural Science Foundation of China[61906189] ; independent research project of National Laboratory of Pattern Recognition
Funding OrganizationNatural Science Foundation of China ; independent research project of National Laboratory of Pattern Recognition
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000862416100003
PublisherNATURE PORTFOLIO
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/50450
Collection模式识别国家重点实验室_自然语言处理
Corresponding AuthorWang, Shaonan
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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.
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