ISSN 1671-3710
CN 11-4766/R
主办：中国科学院心理研究所
出版：科学出版社

心理科学进展 ›› 2015, Vol. 23 ›› Issue (3): 375-384.doi: 10.3724/SP.J.1042.2015.00375

• 研究构想 • 上一篇    下一篇

创造性问题解决的动态神经加工模式

赵庆柏;李松清;陈石;周治金;成良   

  1. (青少年网络心理与行为教育部重点实验室(华中师范大学); 人的发展与心理健康湖北省重点实验室; 华中师范大学心理学院, 武汉430079)
  • 收稿日期:2014-08-22 出版日期:2015-03-15 发布日期:2015-03-15
  • 通讯作者: 赵庆柏, E-mail: zqbznr@mail.ccnu.edu.cn
  • 基金资助:

    国家自然科学基金青年项目(31400875); 国家自然科学基金面上项目(31471000); 教育部人文社会科学研究规划基金项目(14YJA190014)。

Dynamic Neural Processing Mode of Creative Problem Solving

ZHAO Qingbai; LI Songqing; CHEN Shi; ZHOU Zhijin; CHENG Liang   

  1. (Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan 430079, China) (Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan 430079, China)
  • Received:2014-08-22 Online:2015-03-15 Published:2015-03-15
  • Contact: ZHAO Qingbai, E-mail: zqbznr@mail.ccnu.edu.cn

PDF (PC)

2099

被引次数

5

摘要：

先前研究基于功能特化的思想, 基本完成了创造性问题解决相关的各个关键脑区的功能定位, 但并未揭示这些关键脑区在创造活动中的动态神经活动以及它们之间的相互作用关系。本研究拟从动态的功能整合的思想出发, 采用时间序列分析和有效连通性分析方法, 对语义类问题的创造性解决中的信息选择和新颖联结形成等关键子过程的大脑动态加工模式进行研究。本研究不仅能丰富并发展创造性问题解决神经基础的研究方法, 而且能够从系统的层面, 从动态信息加工的角度加深对创造性问题解决脑机制的认识, 推动其神经理论的发展。

关键词: 创造, 神经机制, 功能核磁共振, 信息选择, 新颖联结

Abstract:

Although most previous studies based on the idea of functional specificity have identified the specific brain regions that are involved in creative-related sub-processes, the dynamic neural activities of these regions and the interaction among them are still unclear. Therefore, based on the idea of dynamic functional integration, this project will adopt the time-series analysis and the effective connectivity analysis to detect the dynamic neural processing mode of information selection and novel association formation in creative solutions of semantic problems. The current study not only enriches and develops the research methods that reveal the neural basis of creative problem solving, but also make people better understand the brain mechanism of creative problem solving from the system level and the dynamic information processing perspective, which further promote the development of the neural theory.

Key words: creativity, neural mechanism, fMRI, information selection, novel association