Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
Typical Model Studies01:30

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
Application of Linearization and Approximation01:29

Application of Linearization and Approximation

A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Treatment-specific CT Radiomics Models To Predict Response To Neoadjuvant Therapy And Explore Individualized Treatment Selection In Gastric Cancer.

Academic radiology·2026
Same author

Fully quantitative CMR rest perfusion reveals myocardial perfusion abnormality in Kawasaki disease: Association with left ventricular Remodeling.

International journal of cardiology·2026
Same author

ANXA2<sup>+</sup>/TNR<sup>-</sup> glioblastoma subpopulation drives tumor progression through via Src-STAT3 axis and neutrophil remodeling.

International immunopharmacology·2026
Same author

Structural Characteristics Analysis of <i>Pinus taiwanensis</i> Plantation in Climate Transition Zone.

Plants (Basel, Switzerland)·2026
Same author

Propofol attenuates pain hypersensitivity and neuroinflammation in chronic constriction injury rats by regulating miR-1249-3p/VEGFA axis.

The Korean journal of pain·2026
Same author

Genomic Analysis of Ocular Pseudomonas aeruginosa Isolates: Insights From a Predominantly Asian, Multi-Regional Dataset.

Investigative ophthalmology & visual science·2026

相关实验视频

Updated: May 8, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.1K

基于三重网络模型的飞行学员功能连接的动态变化的研究.

Lu Ye1, Liya Ba1, Dongfeng Yan2

  • 1¹Institute of Flight Technology, Civil Aviation Flight University of China, Guanghan, 618307, China.

Scientific reports
|March 6, 2025
PubMed
概括

飞行学员表现出增强的大脑网络连接,特别是在中央执行网络和默认模式网络之间. 这种改善的大脑功能与在苛刻的任务中更好的认知表现相关.

关键词:
动态功能网络连接能力 动态功能网络连接飞行学员的飞行学员独立组件分析独立组件分析休息状态的fMRI.

更多相关视频

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.2K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

971

相关实验视频

Last Updated: May 8, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.1K
Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.2K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

971

科学领域:

  • 神经科学是一个神经科学.
  • 认知心理学 认知心理学
  • 人类因素工程 人类因素工程

背景情况:

  • 中央执行网络 (CEN),默认模式网络 (DMN) 和突出网络 (SN) 对认知功能至关重要.
  • 了解这些网络的动态功能连接 (dFNC) 对于评估高压力职业的认知表现至关重要.
  • 飞行训练对认知有很大的要求,需要对其神经支进行调查.

研究的目的:

  • 研究飞行学员在休息状态下CEN,DMN和SN的时间变化的功能连接.
  • 探索动态功能网络连接 (dFNC) 度量与飞行学员认知表现之间的关系.
  • 将飞行学员的dFNC模式与健康的对照进行比较.

主要方法:

  • 利用了39名飞行学员和37名对照人员的休息状态fMRI数据.
  • 应用独立组件分析 (ICA),滑动窗口和K-means集群用于dFNC分析.
  • 与Berg卡排序测试 (BCST) 和变化检测测试等测试的行为结果相关联的DFNC指标.

主要成果:

  • 飞行学员在特定状态 (状态2) 中表现出CEN和DMN之间的功能连接显著增强.
  • 实习生在第5状态中花费的时间较少,但在第2状态中表现出长时间的停留时间和分数窗口.
  • 状态2中的这些dFNC指标与BCST和变化检测测试的准确性有显著的相关性.

结论:

  • 严格的飞行训练增强了CEN-DMN连接稳定性,可能改善决策,记忆和信息集成.
  • 飞行学员表现出卓越的视觉处理和认知灵活性,特别适用于高需求环境中的多任务处理.
  • dFNC的研究提供了对大脑机制的宝贵见解,这些机制支持在飞行员等高压力职业中支持认知能力.