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A dynamic causal modeling analysis of the effective connectivities underlying top-down letter processing
Liu, Jiangang2; Li, Jun3; Rieth, Cory A.4; Huber, David E.4; Tian, Jie1,3; Lee, Kang4,5
Source PublicationNEUROPSYCHOLOGIA
2011-04-01
Volume49Issue:5Pages:1177-1186
SubtypeArticle
AbstractThe present study employed dynamic causal modeling to investigate the effective functional connectivity between regions of the neural network involved in top-down letter processing. We used an illusory letter detection paradigm in which participants detected letters while viewing pure noise images. When participants detected letters, the response of the right middle occipital gyrus (MOG) in the visual cortex was enhanced by increased feed-backward connectivity from the left inferior frontal gyrus (IFG). In addition, illusory letter detection increased feed-forward connectivity from the right MOG to the left inferior parietal lobules. Originating in the left IFG, this top-down letter processing network may facilitate the detection of letters by activating letter processing areas within the visual cortex. This activation in turns may highlight the visual features of letters and send letter information to activate the associated phonological representations in the identified parietal region. (C) 2011 Elsevier Ltd. All rights reserved.
KeywordLetter Processing Word Processing Top-down Processing Fmri Dynamic Causal Modeling
WOS HeadingsScience & Technology ; Social Sciences ; Life Sciences & Biomedicine
WOS KeywordWORD FORM AREA ; FUSIFORM FACE AREA ; CORTICAL REGIONS ; VENTRAL STREAM ; MENTAL-IMAGERY ; VISUAL-CORTEX ; HUMAN BRAIN ; BOTTOM-UP ; RECOGNITION ; PERCEPTION
Indexed BySCI ; SSCi
Language英语
WOS Research AreaBehavioral Sciences ; Neurosciences & Neurology ; Psychology
WOS SubjectBehavioral Sciences ; Neurosciences ; Psychology, Experimental
WOS IDWOS:000290649200042
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3899
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie
Affiliation1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Dept Biomed Engn, Beijing 100044, Peoples R China
3.Xidian Univ, Sch Life Sci & Technol, Xian 710071, Peoples R China
4.Univ Calif San Diego, San Diego, CA 92103 USA
5.Univ Toronto, Toronto, ON M5S 1A1, Canada
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Liu, Jiangang,Li, Jun,Rieth, Cory A.,et al. A dynamic causal modeling analysis of the effective connectivities underlying top-down letter processing[J]. NEUROPSYCHOLOGIA,2011,49(5):1177-1186.
APA Liu, Jiangang,Li, Jun,Rieth, Cory A.,Huber, David E.,Tian, Jie,&Lee, Kang.(2011).A dynamic causal modeling analysis of the effective connectivities underlying top-down letter processing.NEUROPSYCHOLOGIA,49(5),1177-1186.
MLA Liu, Jiangang,et al."A dynamic causal modeling analysis of the effective connectivities underlying top-down letter processing".NEUROPSYCHOLOGIA 49.5(2011):1177-1186.
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