中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Uncovering cortical activations of discourse comprehension and their overlaps with common large-scale neural networks

文献类型:期刊论文

作者Yang, XiaoHong1,2; Li, HuiJie1,2; Lin, Nan1,2; Zhang, XiuPing1,2; Wang, YinShan1,2; Zhang, Ying1,2; Zhang, Qian1,2; Zuo, XiNian1,2; Yang, YuFang1,2
刊名NEUROIMAGE
出版日期2019-12-01
卷号203页码:17
关键词Inference Text integration Pragmatic interpretation Default network Activation likelihood estimation Discourse comprehension
ISSN号1053-8119
DOI10.1016/j.neuroimage.2019.116200
产权排序1
文献子类article
英文摘要

We conducted a meta-analysis of 78 task-based functional magnetic resonance imaging (fMRI) studies (1976 total participants) to reveal underlying brain activations and their overlap with large-scale neural networks in the brain during general discourse comprehension and its sub-processes. We found that discourse comprehension involved a neural system consisting of widely distributed brain regions that comprised not only the bilateral perisylvian language zones, but also regions in the superior and medial frontal cortex and the medial temporal lobe. Moreover, this neural system can be categorized into several sub-systems representing various sub-processes of discourse comprehension, with the left inferior frontal gyrus and middle temporal gyrus serving as core regions across all sub-processes. At a large-scale network level, we found that discourse comprehension relied most heavily on the default network, particularly on its dorsal medial subsystem. The pattern associated with large-scale network cooperation varied according to the respective sub-processes required. Our results reveal the functional dissociation within the discourse comprehension neural system and highlight the flexible involvements of large-scale networks.

WOS关键词NARRATIVE COMPREHENSION ; INFERENCE PROCESSES ; TEXT COMPREHENSION ; SYSTEMS NEUROSCIENCE ; STORY COMPREHENSION ; COGNITIVE CONTROL ; SOCIAL COGNITION ; BRAIN ACTIVATION ; DEFAULT NETWORK ; LANGUAGE
资助项目Natural National Science Foundation of China[31871108] ; Natural National Science Foundation of China[31871105] ; Natural National Science Foundation of China[31871143] ; Natural National Science Foundation of China[61433018] ; CAS Key Laboratory of Behavior Science, Institute of Psychology[Y5CX052003] ; Beijing Municipal Science and Tech Commission[Z161100002616023] ; Beijing Municipal Science and Tech Commission[Z171100000117012] ; National Basic Research (973) Program[2015CB351702] ; China - Netherlands CAS-NWO Programme[153111KYSB20160020] ; National R&D Infrastructure and Facility Development Program of China ; Fundamental Science Data Sharing Platform[DKA2017-12-02-21] ; Guangxi BaGui Scholarship[201621]
WOS研究方向Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
语种英语
WOS记录号WOS:000496900900009
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
资助机构Natural National Science Foundation of China ; CAS Key Laboratory of Behavior Science, Institute of Psychology ; Beijing Municipal Science and Tech Commission ; National Basic Research (973) Program ; China - Netherlands CAS-NWO Programme ; National R&D Infrastructure and Facility Development Program of China ; Fundamental Science Data Sharing Platform ; Guangxi BaGui Scholarship
源URL[http://ir.psych.ac.cn/handle/311026/30529]  
专题心理研究所_中国科学院行为科学重点实验室
通讯作者Zuo, XiNian; Yang, YuFang
作者单位1.Univ Chinese Acad Sci, Dept Psychol, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Yang, XiaoHong,Li, HuiJie,Lin, Nan,et al. Uncovering cortical activations of discourse comprehension and their overlaps with common large-scale neural networks[J]. NEUROIMAGE,2019,203:17.
APA Yang, XiaoHong.,Li, HuiJie.,Lin, Nan.,Zhang, XiuPing.,Wang, YinShan.,...&Yang, YuFang.(2019).Uncovering cortical activations of discourse comprehension and their overlaps with common large-scale neural networks.NEUROIMAGE,203,17.
MLA Yang, XiaoHong,et al."Uncovering cortical activations of discourse comprehension and their overlaps with common large-scale neural networks".NEUROIMAGE 203(2019):17.

入库方式: OAI收割

来源:心理研究所

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