句子理解中的语义加工回路——研究热点与未来的展望  

The Neural Network of Semantic Processing in Sentence Comprehension:Hotspot Issues and Future Direction

作　　者：王穗苹[1] 黄健[1] 

机构地区：[1]华南师范大学心理学院/心理应用研究中心,广东广州510631

出　　处：《华南师范大学学报（社会科学版）》2012年第6期47-55,158,共9页Journal of South China Normal University：Social Science Edition

基　　金：国家自然科学基金项目"汉语句子理解中语义和句法整合的认知神经机制"(30970894);广东省高层次人才(珠江学者)项目"中文语义加工的认知机制和大脑功能网络"(GDUPS2011);教育部人文社科重点研究基地重大项目"汉语理解中信息整合的认知与脑机制"(10JJDXLX005)

摘　　要：当前关于句子理解中语义加工神经回路的理论主要有MUC模型、BAIS模型、N400产生源模型等。这些模型主要在加工的时间进程、大脑功能定位、不同脑区的交互作用等方面存在着重要的分歧和争论。未来的研究应着重于对语义整合概念进行更精细与系统的界定、突破以N400为框架的语义加工传统、强调大脑功能的整体性与交互性、对不同成像技术的辐合性运用。There are different models accounting for the neural network of semantic processing in sentence comprehension.Among them,the MUC model,BAIS model and N400 model are three main ones.In all these models,discussions have been focused on the conflicts about the time course of different semantic processes,the function of important brain regions and the interaction pattern between various regions.In future studies,the concept of semantic integration needs a more accurate definition.Besides,semantic processes need to be studied beyond the traditional framework that is based on N400 studies.There is also a need of more attention to the integration of and the interaction between different brain regions,and to the studies combining multiple imaging methods in this field.

关 键 词：语义加工 大脑网络 语义通达 语义整合 

分 类 号：B84[哲学宗教—心理学]