Personality and complex brain networks: The role of openness to experience in default network efficiency.
Personality and complex brain networks: The role of openness to experience in default network efficiency.
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DOI：
10.1002/hbm.23065
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发表时间：
2016-02
影响因子：
4.8
通讯作者：
Silvia PJ
中科院分区：
文献类型：
--
作者：
Beaty RE;Kaufman SB;Benedek M;Jung RE;Kenett YN;Jauk E;Neubauer AC;Silvia PJ
大脑的默认网络（DN）一直是一个相当大的实证兴趣的话题。在fMRI研究中，DN活动与自发和自我生成的认知有关，例如走神，情景记忆检索，未来思维，心理模拟，心理推理理论和创造性认知。尽管有大量关于DN的发育和疾病相关影响的文献，但令人惊讶的是，对影响DN功能正常变化的因素知之甚少。使用结构方程模型和图形理论分析的静息状态fMRI数据，我们提供的证据表明，开放性经验-一个正态分布的人格特质，反映了一种倾向，从事想象力，创造性和抽象的认知过程-基础DN内的信息处理效率。在两项研究中，开放性预测了由DN节点和相应边缘组成的功能网络的全局效率。在研究2中，开放性仍然是一个强有力的预测因素，即使在控制了智力，年龄，性别和其他人格变量后，解释了DN功能的18%的方差。这些发现指出了经验开放性的生物学基础，并表明正态分布的人格特质会影响大规模大脑系统的内在结构。《脑地图》37：773-779，2016年。© 2015威利期刊公司.
The brain's default network (DN) has been a topic of considerable empirical interest. In fMRI research, DN activity is associated with spontaneous and self‐generated cognition, such as mind‐wandering, episodic memory retrieval, future thinking, mental simulation, theory of mind reasoning, and creative cognition. Despite large literatures on developmental and disease‐related influences on the DN, surprisingly little is known about the factors that impact normal variation in DN functioning. Using structural equation modeling and graph theoretical analysis of resting‐state fMRI data, we provide evidence that Openness to Experience—a normally distributed personality trait reflecting a tendency to engage in imaginative, creative, and abstract cognitive processes—underlies efficiency of information processing within the DN. Across two studies, Openness predicted the global efficiency of a functional network comprised of DN nodes and corresponding edges. In Study 2, Openness remained a robust predictor—even after controlling for intelligence, age, gender, and other personality variables—explaining 18% of the variance in DN functioning. These findings point to a biological basis of Openness to Experience, and suggest that normally distributed personality traits affect the intrinsic architecture of large‐scale brain systems. Hum Brain Mapp 37:773–779, 2016. © 2015 Wiley Periodicals, Inc.