个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:人力资源处处长(党委教师工作部部长、党委人才办公室主任)【兼党委组织部副部长】
性别:男
毕业院校:上海交通大学
学位:博士
所在单位:生物医学工程学院
学科:生物医学工程. 信号与信息处理. 模式识别与智能系统
电子邮箱:cong@dlut.edu.cn
Interpretation of Social Interactions: Functional Imaging of Cognitive-Semiotic Categories During Naturalistic Viewing
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论文类型:期刊论文
发表时间:2018-08-14
发表刊物:FRONTIERS IN HUMAN NEUROSCIENCE
收录刊物:PubMed、SCIE、SSCI
卷号:12
页面范围:296
ISSN号:1662-5161
关键字:social cognitive neuroscience; natural film viewing; functional imaging; semiotics; social interaction
摘要:Social interactions arise from patterns of communicative signs, whose perception and interpretation require a multitude of cognitive functions. The semiotic framework of Peirce's Universal Categories (UCs) laid ground for a novel cognitive-semiotic typology of social interactions. During functional magnetic resonance imaging (fMRI), 16 volunteers watched a movie narrative encompassing verbal and non-verbal social interactions. Three types of non-verbal interactions were coded ("unresolved," "non-habitual," and "habitual") based on a typology reflecting Peirce's UCs. As expected, the auditory cortex responded to verbal interactions, but non-verbal interactions modulated temporal areas as well. Conceivably, when speech was lacking, ambiguous visual information (unresolved interactions) primed auditory processing in contrast to learned behavioral patterns (habitual interactions). The latter recruited a parahippocampaloccipital network supporting conceptual processing and associative memory retrieval. Requesting semiotic contextualization, non-habitual interactions activated visuo-spatial and contextual rule-learning areas such as the temporo-parietal junction and right lateral prefrontal cortex. In summary, the cognitive-semiotic typology reflected distinct sensory and association networks underlying the interpretation of observed non-verbal social interactions.