A synchronized multimodal neuroimaging dataset for studying brain language processing

doi:10.1038/s41597-022-01708-5

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 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
发表期刊	SCIENTIFIC DATA
	2022-09-30
卷号	9 期号:1 页码:10
通讯作者	Wang, Shaonan(shaonan.wang@nlpr.ia.ac.cn)
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
DOI	10.1038/s41597-022-01708-5
关键词[WOS]	SPEECH
收录类别	SCI
语种	英语
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
项目资助者	Natural Science Foundation of China ; independent research project of National Laboratory of Pattern Recognition
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000862416100003
出版者	NATURE PORTFOLIO
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/50450
专题	多模态人工智能系统全国重点实验室_自然语言处理
通讯作者	Wang, Shaonan
作者单位	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
第一作者单位	模式识别国家重点实验室
通讯作者单位	模式识别国家重点实验室
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.