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

Neural Circuits01:25

Neural Circuits

2.6K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
2.6K
Brain Imaging01:14

Brain Imaging

644
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...
644
Organization of the Brain01:30

Organization of the Brain

2.3K
The brain is an integral component of the nervous system and serves as the center for processing sensory inputs, making decisions, and directing bodily actions. This complex organ is organized into three primary sections: the hindbrain, midbrain, and forebrain, each responsible for a range of vital functions.
Hindbrain
The hindbrain, located at the base of the brain, plays a vital role in regulating automatic processes that sustain life. It includes the medulla oblongata, which is essential for...
2.3K
Functional Brain Systems: Reticular Formation01:13

Functional Brain Systems: Reticular Formation

4.2K
The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
Within the reticular formation, there are several distinct nuclei that can be classified into three broad categories. The Raphe nuclei are located along the midline of the brainstem. They are primarily known for their role in synthesizing and releasing serotonin, a neurotransmitter involved in regulating mood, appetite, sleep, and circadian rhythms. The...
4.2K
Anatomy of the Brain: Major Regions01:20

Anatomy of the Brain: Major Regions

9.6K
The brain is the most complex organ in the human body. It consists of four main parts: the cerebrum, diencephalon, cerebellum, and brainstem.
The cerebrum is the largest section of the brain and divides into left and right hemispheres, separated by a deep fissure. The cerebral outer layer of grey matter — the cerebral cortex — comprises elevations called gyri and shallow groves called sulci. The inner portion of white matter includes long nerve fibers known as axons, which connect...
9.6K

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

Exploring the molecular classification-based personalized treatment decision-making in FIGO stage I-III endometrial carcinoma after surgery: a population-based real-world study.

Therapeutic advances in medical oncology·2026
Same author

The longitudinal relationship between helicopter parenting and depressive symptoms among university students: the serial mediating roles of exercise behavior and physical self-esteem.

Frontiers in psychology·2026
Same author

Reinforcement learning-assisted distributionally robust energy management for multi-microgrid networks.

Scientific reports·2026
Same author

Deep Learning and Microbiome Analysis Reveal the Preservation Mechanism of <i>Cinnamomum cassia</i> for Strawberry.

Foods (Basel, Switzerland)·2026
Same author

Broadband flat-top gain characteristics based on three-component InGaAs/GaAs asymmetric quantum well.

Optics express·2026
Same author

Succinate antagonizes α-ketoglutarate biosynthesis governing myeloid differentiation in normal hematopoiesis and myelodysplastic syndromes.

Science bulletin·2026
Same journal

Genetic Impacts on Variability of Body Fat Distribution Uncover Gene-Environment and Gene-Gene Interactions.

bioRxiv : the preprint server for biology·2026
Same journal

16S ribosomal RNA modification drives transcript-specific translation efficiency.

bioRxiv : the preprint server for biology·2026
Same journal

FlcE latches onto the FliL-stator complex to turbocharge flagellar motility in <i>Borrelia burgdorferi</i>.

bioRxiv : the preprint server for biology·2026
Same journal

Synaptic pruning, myelination and the emergence of psychiatric disorders in late adolescence.

bioRxiv : the preprint server for biology·2026
Same journal

Structural and functional insights into the Rcs phosphorelay.

bioRxiv : the preprint server for biology·2026
Same journal

The structural basis of RanGAP1 regulation and catalysis in nuclear transport.

bioRxiv : the preprint server for biology·2026
查看所有相关文章

相关实验视频

Updated: Jan 10, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.9K

使用变量图对比学习量化人类大脑中的结构-功能合.

Yihan Zhang1

  • 1School of Science, China Pharmaceutical University, Nanjing 210009, China.

bioRxiv : the preprint server for biology
|November 24, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的方法来测量使用变量图对比学习的大脑结构-功能合 (SFC). SFC在视觉网络中最强,在轨道-情感网络中最弱,反映了认知层次结构.

关键词:
相反的学习学习学习.图形神经网络 (GNN) 是指图形神经网络.结构-功能合 (SFC) 连接

更多相关视频

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

1.4K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

6.0K

相关实验视频

Last Updated: Jan 10, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.9K
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

1.4K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

6.0K

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.
  • 图形理论 图形理论

背景情况:

  • 了解大脑功能需要分析结构和功能连接之间的关系.
  • 现有的方法可能无法充分捕捉区域级大脑结构和功能之间的动态合.

研究的目的:

  • 开发和验证一个新的计算框架来量化人类大脑中的区域结构-功能合 (SFC).
  • 研究SFC在不同大脑网络中的分布模式及其与认知原则的关系.

主要方法:

  • 利用了来自WU-Minn人类结合体项目 (HCP) 的整个皮层结构连接数据和休息状态功能性MRI (rs-fMRI) 数据.
  • 开发了一种双分支变量图卷积网络,采用对比学习来调整结构和功能大脑区域的表示.
  • 定义的结构-功能合 (SFC) 基于对齐的潜伏表示的高斯核输出.

主要成果:

  • 证明SFC在视觉网络中最高,在轨道影响网络中最低.
  • 观察到SFC的分布与认知层次的既定原则保持一致.
  • 废除和一次性实验证实了模型的有效性和SFC指标的稳定性.

结论:

  • 拟议的变量图对比学习方法为量化大脑结构-功能合提供了一个强大的框架.
  • 识别的SFC模式为大脑网络和认知功能的组织原则提供了洞察力.
  • 这种方法可以从复杂的大脑网络数据中提取稳定的多式联接特征.