Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
A synchronized multimodal neuroimaging dataset for studying brain language processing | |
Wang, Shaonan1,2![]() ![]() ![]() ![]() | |
Source Publication | SCIENTIFIC DATA
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2022-09-30 | |
Volume | 9Issue:1Pages:10 |
Corresponding Author | Wang, Shaonan(shaonan.wang@nlpr.ia.ac.cn) |
Abstract | 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 |
DOI | 10.1038/s41597-022-01708-5 |
WOS Keyword | SPEECH |
Indexed By | SCI |
Language | 英语 |
Funding Project | Natural Science Foundation of China[62036001] ; Natural Science Foundation of China[61906189] ; independent research project of National Laboratory of Pattern Recognition |
Funding Organization | Natural Science Foundation of China ; independent research project of National Laboratory of Pattern Recognition |
WOS Research Area | Science & Technology - Other Topics |
WOS Subject | Multidisciplinary Sciences |
WOS ID | WOS:000862416100003 |
Publisher | NATURE PORTFOLIO |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://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 Author | Wang, Shaonan |
Affiliation | 1.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 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, 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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