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Lexical Representations in the Common and Specific Neural Networks for Visual, Phonological, and Semantic Processing in Chinese Reading.

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Titel:	Lexical Representations in the Common and Specific Neural Networks for Visual, Phonological, and Semantic Processing in Chinese Reading.
Autoren:	Feng Y; Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China.; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.; School of Psychology, South China Normal University, Guangzhou, China., Li A; Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China.; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.; School of Psychology, South China Normal University, Guangzhou, China., Su X; Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China.; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.; School of Psychology, South China Normal University, Guangzhou, China., Zhu H; Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China.; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.; School of Psychology, South China Normal University, Guangzhou, China., Cao Y; Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China.; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.; School of Psychology, South China Normal University, Guangzhou, China., Mei L; Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, China.; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.; School of Psychology, South China Normal University, Guangzhou, China.
Quelle:	Human brain mapping [Hum Brain Mapp] 2025 Dec 01; Vol. 46 (17), pp. e70430.
Publikationsart:	Journal Article
Sprache:	English
Info zur Zeitschrift:	Publisher: Wiley Country of Publication: United States NLM ID: 9419065 Publication Model: Print Cited Medium: Internet ISSN: 1097-0193 (Electronic) Linking ISSN: 10659471 NLM ISO Abbreviation: Hum Brain Mapp Subsets: MEDLINE
Imprint Name(s):	Publication: New York : Wiley Original Publication: New York : Wiley-Liss, c1993-
MeSH-Schlagworte:	Brain/physiology , Brain/diagnostic imaging , Nerve Net/physiology , Pattern Recognition, Visual/physiology , Phonetics* , Reading* , Semantics*, Adult ; Female ; Humans ; Male ; Young Adult ; Brain Mapping ; Magnetic Resonance Imaging ; Neural Pathways/physiology ; Photic Stimulation ; East Asian People
Abstract:	Previous studies have investigated the common and specific neural correlates underlying visuo-orthographic, phonological, and semantic processing in word reading. However, it remains unclear how those networks represent different types of lexical information and how such representations and the interactions between networks are modulated by task-induced processing demands. To address this issue, 32 native Chinese participants were scanned with fMRI while performing a localizer task, and two reading tasks designed to elicit high demands on visuo-orthographic processing (i.e., structural judgment task) and semantic processing (i.e., familiarity judgment task). Activation analyses identified both common and specific neural networks involved in visual, phonological, and semantic processing. Representational similarity analysis (RSA) further revealed that the common network represented multiple types of lexical information, whereas the specific networks selectively represented particular lexical information corresponding to their respective processing type. Moreover, processing demands modulated lexical representations of common and specific networks in distinct ways: the common network exhibited flexible representational patterns, representing task-relevant lexical information under high processing demands, whereas the specific networks showed process-dependent selectivity, representing corresponding lexical information only under high processing demands. Functional connectivity analyses further indicated that processing demands could modulate connectivity patterns among networks, particularly between the common and specific networks. These findings highlight the distinct functional roles of common and specific networks, providing a new perspective on the complementary contributions of functionally overlapping and specialized systems in word reading. (© 2025 The Author(s). Human Brain Mapping published by Wiley Periodicals LLC.)
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Grant Information:	32571226 National Natural Science Foundation of China; 32271098 National Natural Science Foundation of China; 2024B0303390003 Research Center for Brain Cognition and Human Development, Guangdong, China; 2024A1515011023 Basic and Applied Basic Research Foundation of Guangdong Province; Striving for the First-Class, Improving Weak Links and Highlighting Features (SIH) Key Discipline for Psychology in South China Normal University
Contributed Indexing:	Keywords: common network; functional connectivity; lexical representation; processing demands; specific network; word reading
Entry Date(s):	Date Created: 20251205 Date Completed: 20251205 Latest Revision: 20251207
Update Code:	20251207
PubMed Central ID:	PMC12678634
DOI:	10.1002/hbm.70430
PMID:	41346110
Datenbank:	MEDLINE

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Abstract:	Previous studies have investigated the common and specific neural correlates underlying visuo-orthographic, phonological, and semantic processing in word reading. However, it remains unclear how those networks represent different types of lexical information and how such representations and the interactions between networks are modulated by task-induced processing demands. To address this issue, 32 native Chinese participants were scanned with fMRI while performing a localizer task, and two reading tasks designed to elicit high demands on visuo-orthographic processing (i.e., structural judgment task) and semantic processing (i.e., familiarity judgment task). Activation analyses identified both common and specific neural networks involved in visual, phonological, and semantic processing. Representational similarity analysis (RSA) further revealed that the common network represented multiple types of lexical information, whereas the specific networks selectively represented particular lexical information corresponding to their respective processing type. Moreover, processing demands modulated lexical representations of common and specific networks in distinct ways: the common network exhibited flexible representational patterns, representing task-relevant lexical information under high processing demands, whereas the specific networks showed process-dependent selectivity, representing corresponding lexical information only under high processing demands. Functional connectivity analyses further indicated that processing demands could modulate connectivity patterns among networks, particularly between the common and specific networks. These findings highlight the distinct functional roles of common and specific networks, providing a new perspective on the complementary contributions of functionally overlapping and specialized systems in word reading.<br /> (© 2025 The Author(s). Human Brain Mapping published by Wiley Periodicals LLC.)
ISSN:	1097-0193
DOI:	10.1002/hbm.70430