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

Multiple Sclerosis l: Introduction01:19

Multiple Sclerosis l: Introduction

Multiple sclerosis is a chronic autoimmune disease of the central nervous system (CNS) that affects the brain, spinal cord, and optic nerves. It is an inflammatory demyelinating disorder and a leading cause of neurological disability in young adults.EpidemiologyMS commonly begins between 20 and 40 years of age and is twice as common in women. Its exact cause remains unclear, but genetic susceptibility contributes, with higher risk in first-degree relatives and identical twins. A greater...

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

The Relationship Between Decreased Serum Klotho Protein and Cognitive Impairment in Patients After Abdominal Surgery.

Journal of inflammation research·2026
Same author

TumorSynth: Integrated Brain Tumor and Tissue Segmentation on Brain MRI Scans of Any Resolution and Contrast.

Radiology. Imaging cancer·2026
Same author

Aberrant bone marrow granulopoiesis generates neutrophils that promote B cell activity in neuromyelitis optica spectrum disorder.

Science translational medicine·2026
Same author

Normal-Appearing White Matter Injury Mediates Chronic Deep Venous Hypoxia and Disease Progression in Multiple Sclerosis.

Annals of clinical and translational neurology·2026
Same author

Spinal Cord Infarction Versus Idiopathic Transverse Myelitis: Clinical, Radiological, and Functional Insights From a Retrospective Cohort Study.

Annals of clinical and translational neurology·2026
Same author

The Effect of Adding Different Varieties of Osmanthus on the Antioxidant Activity and Flavor of Barley Beer.

Journal of food science·2026

相关实验视频

Updated: Jun 27, 2026

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

与复发性复发性多发性硬化症的认知和身体表现相关的空间结构异常图.

Zhizheng Zhuo1, Ningnannan Zhang2, Feng Ao3,4

  • 1Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. 18612161210@163.com.

European radiology
|October 29, 2024
PubMed
概括

深度学习根据大脑异常确定了五种复发性复发性多发性硬化症 (RRMS) 亚型,揭示了不同的认知和身体表现模式. 这些空间地图有助于理解RRMS异质性和个性化治疗策略.

关键词:
大脑异常 脑部异常认知能力 认知能力 认知能力深度学习是一种深度学习.障碍障碍是指残疾人的情况.复发性复发性复发性多发性硬化症

更多相关视频

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

28.4K
Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
09:41

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis

Published on: July 19, 2019

11.4K

相关实验视频

Last Updated: Jun 27, 2026

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
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

28.4K
Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
09:41

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis

Published on: July 19, 2019

11.4K

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:

  • 复发性缓解性多发性硬化症 (RRMS) 在认知和身体表现方面存在显著的异质性.
  • 了解潜在的大脑异常对于有效的患者管理至关重要.

研究的目的:

  • 在RRMS患者中描述与认知和身体表现相关的大脑异常.
  • 使用深度学习算法来识别不同的RRMS亚型.

主要方法:

  • 使用3D nnU-Net深度学习模型,从281名RRMS患者的T1加权MRI扫描生成空间异常图.
  • 患者被分为亚型,并使用克鲁斯卡尔-瓦利斯测试比较临床/MRI特征.
  • 卡普兰-梅尔分析评估了残疾进展,并对两个额外的数据集进行了验证.

主要成果:

  • 确定了五种不同的RRMS亚型,每个都有独特的认知和身体表现配置文件和残疾进展风险.
  • 亚型在认知得分,身体残疾严重程度,大脑体积损失和复发率方面有所不同.
  • 对外部数据集的验证证实了识别的亚型的稳定性.

结论:

  • 来自深度学习的空间异常图可以有效地解释RRMS中的异质性.
  • 这些发现支持RRMS中分层管理和个性化治疗方法的潜力.