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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...

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相关实验视频

Updated: Jan 11, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

基于静止状态功能性MRI的大型大脑调解网络.

Bin Wang¹, Xi Zhang¹, Tingting Pan¹

¹College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China.

Communications biology

|November 18, 2025

概括

这项研究引入了一个新的大脑网络模型,以了解三个大脑区域如何相互作用,揭示了不同的调解模式和感官和注意力处理模块的等级结构.

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Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

相关实验视频

Last Updated: Jan 11, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

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.
网络科学网络科学

背景情况:

了解大脑功能需要分析复杂的相互作用机制.
传统模型将大脑相互作用简化为双向连接,忽视了关键的三重区域调制.
模拟整个大脑的三重区域相互作用是具有挑战性的,因为广泛的连接.

研究的目的:

开发一种新的脑网络模型,捕捉三重区域调解关系.
在大脑网络分析中控制外来影响.
研究调解强度和网络拓学的关系.

主要方法:

开发了一个独立的组件驱动调解大脑网络模型.
分析了三重区域调解关系.
在网络分析中控制混因素.

主要成果:

确定了介导强度和强度之间的反转U形关系.
揭示了密集和稀疏连接的大脑区域的独特调解模式.
在感官和注意力模块中展示了层次的功能差异化,在超级调解集中具有初级处理区域,在超级调解集中具有更高阶的认知区域.

结论:

新模型准确地捕捉到大脑中复杂的三重区域相互作用.
调解模式随网络密度而有显著变化,影响认知能力.
功能层次存在于大脑模块中,区分信息处理和认知功能.