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

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

79
Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
79

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

HyperCOCO: Multi-sensory HyperCOgnitive COmputing for learning population level brain connectivity.

Medical image analysis·2026
Same author

Reservoir-Based Graph Convolutional Networks.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios.

IEEE transactions on medical imaging·2025
Same author

Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data.

Medical image analysis·2025
Same author

FALCON: Feature-Label Constrained Graph Net Collapse for Memory-Efficient GNNs.

IEEE transactions on neural networks and learning systems·2025
Same author

Replica tree-based federated learning using limited data.

Neural networks : the official journal of the International Neural Network Society·2025

相关实验视频

Updated: Jun 20, 2025

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.2K

皮层形态网络用于分析自闭症谱系障碍,使用张量组件分析.

Kubra Cengiz1,2, Islem Rekik1

  • 1Faculty of Computer and Informatics, Istanbul Technical University, İstanbul, Türkiye.

Frontiers in neurology
|July 19, 2024
PubMed
概括

自闭症谱系障碍 (ASD) 改变大脑结构,影响皮质形态网络. 这项研究使用先进的MRI技术识别了ASD个体的关键大脑连接模式,将其与临床特征联系起来.

科学领域:

  • 神经科学是一个神经科学.
  • 网络神经科学 网络神经科学
  • 医疗成像医学成像

背景情况:

  • 自闭症谱系障碍 (ASD) 是一种神经发育障碍,其特点是多个层次的皮质形态变化.
  • 现有的方法经常单独或双双地检查皮质区域,可能缺少复杂的网络相互作用.
  • 多视图皮层形态网络 (CMN) 提供了一种新的方法来分析不同属性和视图之间的大脑结构关系.

研究的目的:

  • 用T1加权MRI衍生出的多视图CMN对自闭症和典型大脑进行分析.
  • 在自闭症和正常控制 (NC) 群体中,识别不同皮层视图共享的代表性形态连接.
  • 探索发现的连接和ASD的临床特征之间的关系.

主要方法:

  • 利用T1权重磁共振成像 (MRI) 来构建多视图皮质形态网络 (CMN).
  • 采用张量组件分析来识别在不同的CMN视图中共享的,代表性的形态连接.
  • 分析了自闭症和正常控制 (NC) 群体的CMN,检查左和右半球.

主要成果:

  • 在多视图CMN中识别了NC和ASD群体的独特连接配置文件.
  • 皮层厚度成为评估ASD异常大脑结构的关键属性.
  • 发现了具有代表性的形态连接在患有自闭症的个体的叶,额叶和岛叶内.
关键词:
自闭症谱系障碍 自闭症谱系障碍大脑的连接性大脑的连接性皮质形态网络是皮质的形态网络.多视图分析的分析张数组件分析分析的组成部分.

更多相关视频

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K
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

5.6K

相关实验视频

Last Updated: Jun 20, 2025

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.2K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K
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

5.6K

结论:

  • 多视图CMN为神经发育障碍中的指纹皮质形态提供了强大的框架.
  • 特定的形态连接,特别是与皮质厚度相关的,在ASD中发生变化.
  • 这些发现将大脑结构的改变与ASD患者的可观察到的临床特征联系起来.