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静息态和任务功能磁共振成像中创造力背后的大规模脑网络连通性:默认网络与额顶叶网络之间的协作

Large-scale brain network connectivity underlying creativity in resting-state and task fMRI: Cooperation between default network and frontal-parietal network.

作者信息

Shi Liang, Sun Jiangzhou, Xia Yunman, Ren Zhiting, Chen Qunlin, Wei Dongtao, Yang Wenjing, Qiu Jiang

机构信息

Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; School of Psychology, Southwest University (SWU), Chongqing 400715, China.

Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; School of Psychology, Southwest University (SWU), Chongqing 400715, China; Southwest University Branch,Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, Beijing 100875, China.

出版信息

Biol Psychol. 2018 May;135:102-111. doi: 10.1016/j.biopsycho.2018.03.005. Epub 2018 Mar 13.

Abstract

Creativity is imperative to social development and the promotion of well-being. Here, independent component analysis and functional network connectivity analysis methods were applied to both resting-state and divergent thinking task fMRI data from the same sample to investigate large-scale brain network connectivity underlying creativity. The results showed that the strength of the connectivity between the posterior default mode network (DMN) and right frontal-parietal network (FPN) was significantly greater whereas the right FPN and left FPN connectivity strength was weaker in the creative condition than in the control condition. In addition, the posterior DMN and right FPN connectivity strength in the divergent thinking task was positively correlated with the connectivity strength between anterior DMN and left FPN during the resting-state. Moreover, the anterior DMN and left FPN connectivity strength during the resting-state was posit ively correlated with the originality score derived from divergent thinking task. Taken together, these findings extend previous research by revealing the cooperation between the DMN and FPN involved in creative thinking during both resting-state and task fMRI and provide insights into the prediction of creative thinking performance through brain network connectivity during resting-state and task fMRI in the future.

摘要

创造力对社会发展和福祉提升至关重要。在此,独立成分分析和功能网络连通性分析方法被应用于来自同一样本的静息态和发散性思维任务功能磁共振成像(fMRI)数据,以研究创造力背后的大规模脑网络连通性。结果显示,在创造性条件下,后默认模式网络(DMN)与右侧额顶叶网络(FPN)之间的连通性强度显著更强,而右侧FPN与左侧FPN的连通性强度在创造性条件下比在对照条件下更弱。此外,发散性思维任务中后DMN与右侧FPN的连通性强度与静息态期间前DMN与左侧FPN之间的连通性强度呈正相关。而且,静息态期间前DMN与左侧FPN的连通性强度与发散性思维任务得出的原创性得分呈正相关。综上所述,这些发现通过揭示静息态和任务fMRI期间参与创造性思维的DMN和FPN之间的协作,扩展了先前的研究,并为未来通过静息态和任务fMRI期间的脑网络连通性预测创造性思维表现提供了见解。

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