CASIA OpenIR  > 类脑智能研究中心
Representational similarity analysis reveals task-dependent semantic influence of the visual word form area
Wang, Xiaosha1,2,3,4; Xu, Yangwen2,3,4; Wang, Yuwei5,6,7; Zeng, Yi5,6,7; Zhang, Jiacai1; Ling, Zhenhua8; Bi, Yanchao2,3,4
2018-02-14
发表期刊SCIENTIFIC REPORTS
卷号8
文章类型Article
摘要Access to semantic information of visual word forms is a key component of reading comprehension. In this study, we examined the involvement of the visual word form area (VWFA) in this process by investigating whether and how the activity patterns of the VWFA are influenced by semantic information during semantic tasks. We asked participants to perform two semantic tasks - taxonomic or thematic categorization - on visual words while obtaining the blood-oxygen-level-dependent (BOLD) fMRI responses to each word. Representational similarity analysis with four types of semantic relations (taxonomic, thematic, subjective semantic rating and word2vec) revealed that neural activity patterns of the VWFA were associated with taxonomic information only in the taxonomic task, with thematic information only in the thematic task and with the composite semantic information measured by word2vec in both semantic tasks. Furthermore, the semantic information in the VWFA cannot be explained by confounding factors including orthographic, low-level visual and phonological information. These findings provide positive evidence for the presence of both orthographic and task-relevant semantic information in the VWFA and have significant implications for the neurobiological basis of reading.
WOS标题词Science & Technology
DOI10.1038/s41598-018-21062-0
关键词[WOS]EVENT-RELATED FMRI ; CHINESE CHARACTERS ; CORTEX ; BRAIN ; CONNECTIVITY ; RECOGNITION ; CONTEXT
收录类别SCI ; SSCI
语种英语
项目资助者National Basic Research Program of China Program(2013CB837300 ; National Natural Science Foundation of China(31521063 ; China Postdoctoral Science Foundation(2017M610791) ; Fundamental Research Funds for the Central Universities(WK2350000001 ; Beijing Brain Project(Z16110100020000 ; Beijing Normal University ; National Program for Special Support of Top-notch Young Professionals ; Beijing Advanced Innovation Center for Future Education(BJAICFE2016IR-003) ; 2014CB846100) ; 31700943 ; 2017XTCX04) ; Z161100000216124 ; 61375116 ; Z161100000216125) ; 91520202)
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
WOS记录号WOS:000424985800085
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21960
专题类脑智能研究中心
作者单位1.Beijing Normal Univ, Coll Informat Sci & Technol, Beijing 100875, Peoples R China
2.Beijing Normal Univ, Natl Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
3.Beijing Normal Univ, IDG McGovern Inst Brain Res, Beijing 100875, Peoples R China
4.Beijing Normal Univ, Beijing Key Lab Brain Imaging & Connect, Beijing 100875, Peoples R China
5.Chinese Acad Sci, Res Ctr Brain Inspired Intelligence, Beijing 100190, Peoples R China
6.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
7.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai 200031, Peoples R China
8.Univ Sci & Technol China, Natl Engn Lab Speech & Language Informat Proc, Hefei 230027, Anhui, Peoples R China
推荐引用方式
GB/T 7714
Wang, Xiaosha,Xu, Yangwen,Wang, Yuwei,et al. Representational similarity analysis reveals task-dependent semantic influence of the visual word form area[J]. SCIENTIFIC REPORTS,2018,8.
APA Wang, Xiaosha.,Xu, Yangwen.,Wang, Yuwei.,Zeng, Yi.,Zhang, Jiacai.,...&Bi, Yanchao.(2018).Representational similarity analysis reveals task-dependent semantic influence of the visual word form area.SCIENTIFIC REPORTS,8.
MLA Wang, Xiaosha,et al."Representational similarity analysis reveals task-dependent semantic influence of the visual word form area".SCIENTIFIC REPORTS 8(2018).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wang, Xiaosha]的文章
[Xu, Yangwen]的文章
[Wang, Yuwei]的文章
百度学术
百度学术中相似的文章
[Wang, Xiaosha]的文章
[Xu, Yangwen]的文章
[Wang, Yuwei]的文章
必应学术
必应学术中相似的文章
[Wang, Xiaosha]的文章
[Xu, Yangwen]的文章
[Wang, Yuwei]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。