A synchronized multimodal neuroimaging dataset for studying brain language processing | |
Wang, Shaonan1,2; Zhang, Xiaohan1,2; Zhang, Jiajun1,2; Zong, Chengqing1,2 | |
刊名 | SCIENTIFIC DATA |
2022-09-30 | |
卷号 | 9期号:1页码:10 |
DOI | 10.1038/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 |
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关键词 | SPEECH |
WOS研究方向 | Science & Technology - Other Topics |
语种 | 英语 |
出版者 | NATURE PORTFOLIO |
WOS记录号 | WOS:000862416100003 |
资助机构 | Natural Science Foundation of China ; independent research project of National Laboratory of Pattern Recognition |
内容类型 | 期刊论文 |
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. |
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