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民航飞行员默认模式网络动力学的改变

Altered Default Mode Network Dynamics in Civil Aviation Pilots.

作者信息

Chen Xi, Xu Kaijun, Yang Yong, Wang Quanchuan, Jiang Hao, Guo Xiangmei, Chen Xipeng, Yang Jiazhong, Luo Cheng

机构信息

Institute of Aviation Human Factors and Ergonomics, Department of Aviation Psychology, Institute of Flight Technology, Civil Aviation Flight University of China, Guanghan, China.

Key Laboratory for NeuroInformation of Ministry of Education, School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China.

出版信息

Front Neurosci. 2020 Jan 14;13:1406. doi: 10.3389/fnins.2019.01406. eCollection 2019.

Abstract

BACKGROUND

Airlines occupy an increasingly important place in the economy of many countries. Because air disasters may cause substantial losses, comprehensive surveys of the psychophysiological mechanism of flying are needed; however, relatively few studies have focused on pilots. The default mode network (DMN) is an important intrinsic connectivity network involved in a range of functions related to flying. This study aimed to examine functional properties of the DMN in pilots.

METHOD

Resting-state functional magnetic resonance imaging data from 26 pilots and 24 controls were collected. Independent component analysis, a data-driven approach, was combined with functional connectivity analysis to investigate functional properties of the DMN in pilots.

RESULTS

The pilot group exhibited increased functional integration in the precuneus/posterior cingulate cortex (PCC) and left middle occipital gyrus. Subsequent functional connectivity analysis identified enhanced functional connection between the precuneus/PCC and medial superior frontal gyrus.

CONCLUSION

The pilot group exhibited increased functional connections within the DMN. These findings highlight the importance of the DMN in the neurophysiological mechanism of flying.

摘要

背景

航空公司在许多国家的经济中占据着越来越重要的地位。由于空难可能会造成重大损失,因此需要对飞行的心理生理机制进行全面调查;然而,相对较少的研究关注飞行员。默认模式网络(DMN)是一个重要的内在连接网络,涉及一系列与飞行相关的功能。本研究旨在检查飞行员中DMN的功能特性。

方法

收集了26名飞行员和24名对照组的静息态功能磁共振成像数据。将独立成分分析(一种数据驱动的方法)与功能连接分析相结合,以研究飞行员中DMN的功能特性。

结果

飞行员组在楔前叶/后扣带回皮质(PCC)和左侧枕中回表现出功能整合增加。随后的功能连接分析确定了楔前叶/PCC与额上回内侧之间的功能连接增强。

结论

飞行员组在DMN内表现出功能连接增加。这些发现突出了DMN在飞行神经生理机制中的重要性。

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