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

Brain Imaging01:14

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 Stimulation (TMS).

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

Mapping histologic and functional maturation of human endocrine pancreas across early postnatal periods.

Nature communications·2026
Same author

Large-Scale Synchronization Dynamics During Epileptic Seizures: A Patient-Independent EEG Network Analysis.

Entropy (Basel, Switzerland)·2026
Same author

An innovative deep learning paradigm for automated detection and accurate classification of lung nodules in magnetic resonance imaging.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2026
Same author

Classification of multivariate functional data with an application to ADHD fMRI data.

Journal of applied statistics·2026
Same author

Hippocampal Total, Subregion, and Subfield Volume Alterations in Late-Life Depression.

Biological psychiatry. Cognitive neuroscience and neuroimaging·2026
Same author

Heterogeneous endocrine cell composition defines human islet functional phenotypes.

Nature communications·2026

相关实验视频

Updated: Jun 11, 2026

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
10:14

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

7.3K

图形自编码器用于嵌入大脑网络中的学习和重大抑郁症疾病识别.

Fuad Noman, Chee-Ming Ting, Hakmook Kang

    IEEE journal of biomedical and health informatics
    |January 9, 2024
    PubMed
    概括

    这项研究引入了一种新的图形深度学习方法,用于将大脑网络分类为主要抑郁症 (MDD). 该方法有效地使用大脑网络拓来提高诊断准确性,优于现有方法.

    科学领域:

    • 神经科学是一个神经科学.
    • 人工智能的人工智能
    • 医疗成像医学成像

    背景情况:

    • 来自fMRI的脑功能连接 (FC) 网络显示神经精神疾病的变化.
    • 传统的深度学习方法往往忽略了大脑网络的拓信息,这可能会限制诊断性能.
    • 大型抑郁症 (MDD) 诊断可以从先进的神经成像分析技术中受益.

    研究的目的:

    • 提出一种新的图形深度学习框架,用于在MDD中对大脑网络进行分类.
    • 为了利用非欧几里德信息和图形结构来改善大脑疾病的识别.
    • 开发一种方法,将fMRI网络的拓和内容特征嵌入到低维表示中.

    主要方法:

    • 使用基于图形卷积网络 (GCN) 的图形自编码器 (GAE) 架构.
    • 使用Ledoit-Wolf (LDW) 收缩方法,从fMRI数据中高效估计高维FC指标.
    • 集成图嵌入作为深度完全连接神经网络 (FCNN) 的输入特征,用于MDD与健康对照 (HC) 的分类.

    主要成果:

    • 拟议的GAE-FCNN框架在脑连接组分类方面,与最先进的方法相比,实现了更高的性能.
    • 当使用LDW-FC边缘作为GAE内的节点特征时,获得了最高的准确性.

    更多相关视频

    Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
    04:25

    Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

    Published on: December 15, 2023

    2.4K
    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
    09:47

    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

    Published on: December 15, 2023

    1.1K

    相关实验视频

    Last Updated: Jun 11, 2026

    3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
    10:14

    3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

    Published on: May 12, 2019

    7.3K
    Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
    04:25

    Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

    Published on: December 15, 2023

    2.4K
    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
    09:47

    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

    Published on: December 15, 2023

    1.1K
  • 学习的图形嵌入揭示了MDD患者和HC患者之间大脑网络拓学的显著差异.

    • 结论:

    • 图形深度学习框架有效地捕获来自大脑网络拓学的歧视性信息,用于诊断MDD.
    • 这种方法表明了在神经成像中嵌入图的潜力,用于识别大脑疾病.
    • 这些发现强调了在基于连接组的机器学习分析中考虑网络拓学的重要性.