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

Parkinson's Disease: Overview01:15

Parkinson's Disease: Overview

419
Neurodegenerative disorders are progressive diseases that cause irreversible damage and loss to neurons in specific brain areas. Examples of these disorders include Parkinson's disease, Alzheimer's disease, Multiple Sclerosis (MS), and Amyotrophic Lateral Sclerosis (ALS). These disorders share characteristics such as proteinopathies, selective neuronal vulnerability, and a complex interplay between genetic and environmental factors. The primary therapeutic goal for these conditions is...
419
Parkinson's Disease: Treatment01:24

Parkinson's Disease: Treatment

182
Neurodegenerative disorders, such as Parkinson's Disease (PD), involve the gradual and irreversible destruction of neurons in particular brain areas. These disorders exhibit standard features like proteinopathies, selective vulnerability of some neurons, and an interaction of intrinsic properties, genetics, and environmental influences in neural injury.
Parkinson's Disease is primarily a result of the loss of dopaminergic neurons in the substantia nigra pars compacta. The cornerstone of...
182
Neural Regulation01:37

Neural Regulation

39.1K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
39.1K
EPS and iPS Cells in Disease Research01:21

EPS and iPS Cells in Disease Research

2.8K
Embryonic and induced pluripotent stem cells are excellent models for disease research because of their ability to self-renew and differentiate into most cell types. Somatic cells from a patient are isolated and reprogrammed into induced pluripotent stem cells or iPSCs. These iPSCs are later differentiated into the desired cell type, which mirrors the diseased cell of the patient. In this way, disease models have been created for investigating diseases such as Down syndrome, type I diabetes,...
2.8K

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

Human immunodeficiency virus accelerates brain aging and disrupts the trajectory of glymphatic clearance in aging brain.

Frontiers in psychiatry·2025
Same author

The invisible architects: microbial communities and their transformative role in soil health and global climate changes.

Environmental microbiome·2025
Same author

Modulation and distribution of extracellular free water and tract deficits in rhesus macaques before and after the initiation of emtricitabine + tenofovir disoproxil fumarate + dotutegravir treatment.

Frontiers in immunology·2025
Same author

Allelochemicals degradation and multifarious plant growth promoting potential of two Bacillus spp.: Insights into genomic potential and abiotic stress alleviation.

Chemosphere·2025
Same author

Bufadienolides from Chansu Injection Synergistically Enhances the Antitumor Effect of Erlotinib by Inhibiting the KRAS Pathway in Pancreatic Cancer.

Pharmaceuticals (Basel, Switzerland)·2025
Same author

Highly Air-Stable N-Doped Two-Dimensional Violet Phosphorus with Atomically Flat Surfaces.

ACS nano·2024

相关实验视频

Updated: May 25, 2025

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

使用集群和支持矢量机器模型识别基于网络状态的帕金森病亚型.

Benedictor Alexander Nguchu1,2, Yifei Han1, Yanming Wang3

  • 1Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Medical University, Wenzhou, Zhejiang, China.

Frontiers in psychiatry
|February 28, 2025
PubMed
概括
此摘要是机器生成的。

帕金森病 (PD) 呈现异质性,通过脑成像和网络模式识别了亚型. 像APOE这样的遗传因素会影响这些亚型,为个性化治疗铺平道路.

关键词:
在APOE基因型中,APOE基因型PD异质性 PD异质性是什么意思PD子类型 PD子类型帕金森病是帕金森氏症的一种疾病.集群算法集群算法集群算法集群算法集群算法集群算法机器学习模型机器学习模型

更多相关视频

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.0K
Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking
07:26

Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking

Published on: September 26, 2019

7.7K

相关实验视频

Last Updated: May 25, 2025

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
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.0K
Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking
07:26

Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking

Published on: September 26, 2019

7.7K

科学领域:

  • 神经科学是一个神经科学.
  • 遗传学 遗传学是一种遗传学.
  • 机器学习 机器学习

背景情况:

  • 帕金森病 (PD) 的异质性使得开发有效的治疗点变得复杂.
  • 识别不同的PD亚型对于推进个性化医学至关重要.

研究的目的:

  • 使用集群算法识别具有PD亚型特征的网络特定模式.
  • 评估大脑特征和网络模式在区分PD亚型中的诊断能力.
  • 调查PD亚型与APOE基因型之间的关联.

主要方法:

  • 在帕金森病进展标记计划 (PPMI) 数据中应用K-平均值和等级分类.
  • 使用的灰质体积和新体的多巴胺特征 (尾,门,前门).
  • 采用机器学习 (ML) 算法 (随机森林,物流回归,SVM) 来进行分类和生物标志物评估.

主要成果:

  • 确定了三个网络状态:一个是健康对照 (HC) 和两个不同的PD亚型.
  • 在PD患者中发现显著的多巴胺基缺陷 (DAT),由APOE ε2/ε4.4加速.
  • 机器学习模型,特别是SVM,在使用大脑特征和网络模式来分类PD亚型时,实现了高准确率 (99.3%).

结论:

  • 病发症表现出由遗传因素影响的内在异质性,特别是APOE基因型.
  • 网络状态和ML模型可以描述PD亚型,为个性化药物开发提供见解.
  • 不同的PD亚型表现出不同程度的灰质体积和DAT缺陷.