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Harmonic Mean

Harmonic Mean

The arithmetic mean is usually skewed towards the larger values in the data set. Therefore, to avoid this inherent bias towards smaller values, the harmonic mean is used.
Take the example of the speed of a car, which is the measure of the rate of distance traveled. If the vehicle traverses the same distance back-and-forth, its average speed equals the total distance traveled divided by the total time taken. However, if the car moves with varying speeds, then the arithmetic mean is more skewed...

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Updated: Jun 11, 2025

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

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

Published on: March 21, 2019

动态功能连接波器功能连接波器

Hoyt Patrick Taylor¹, Pew-Thian Yap^2,3

¹Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

|October 9, 2024

概括

此摘要是机器生成的。

这项研究引入了功能连接组波,揭示了跨时间尺度的稳定大脑组织. 这些波识别可重现的大脑状态,并为测量皮层灵活性提供了一种新的方法.

关键词:

动态功能连接的功能连接.灵活性灵活性灵活性声器的声器是什么意思

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Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

相关实验视频

Last Updated: Jun 11, 2025

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

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Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

科学领域:

神经科学是一个神经科学.
计算神经科学是一种神经科学.
脑部成像脑部成像

背景情况:

功能连接 (FC) 梯度映射大脑组织,但通常使用静态FC.
时间尺度对FC地形和主要轴的影响仍未得到充分研究.
暂时的大脑状态可能是动态FC组织的基础.

研究的目的:

使用不同的时间尺度计算功能连接组波.
在不同的时间窗口中调查主要FC轴的稳定性.
开发一种新的方法来评估皮层灵活性,使用时间变化的连接组波.

主要方法:

解决了功能连接的正常模式,以导出功能连接组波.
使用不同长度的时间窗口计算波.
开发了一种基于时间变化的波的顶点分辨率皮质灵活性度量.

主要成果:

功能连接组波在时间尺度上是稳定的.
波对应于有意义的,可重现的大脑状态,具有稳定的相互关系.
新的皮层灵活性方法显示了与现有文献的定性一致.

结论:

功能连接的主要轴与时间尺度不变.
功能连接组波提供了大脑状态和动态的强大表示.
这种方法为研究大脑灵活性和组织提供了一个新的途径.