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相关概念视频

Multiple Sclerosis l: Introduction01:19

Multiple Sclerosis l: Introduction

20
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...
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Alzheimer Disease ll: Pathophysiology01:23

Alzheimer Disease ll: Pathophysiology

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Alzheimer disease involves structural changes in the brain that begin long before symptoms appear. The most distinctive features are extracellular neuritic plaques and intracellular neurofibrillary tangles.Neuritic plaques form in the cerebral cortex and around blood vessels. These plaques contain a dense core of beta-amyloid (Aβ)—a toxic protein fragment that clumps outside neurons. The core is surrounded by damaged neuronal extensions, as well as reactive astrocytes and...
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Parkinson Disease ll: Pathophysiology01:24

Parkinson Disease ll: Pathophysiology

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Parkinson disease (PD) is a progressive neurodegenerative disorder primarily affecting movement, with additional non-motor features. Its pathophysiology involves complex interactions among genetic susceptibility, environmental exposures, and cellular dysfunction, including dopaminergic neuron loss, protein aggregation, and mitochondrial impairment.Selective NeurodegenerationA key feature is the degeneration of dopaminergic neurons in the substantia nigra pars compacta, leading to reduced...
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相关实验视频

Updated: May 3, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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在多发性硬化症中共同波动的结构和功能的临床相关模式.

Jian Zhang1, Marco Battaglini1,2, Rosa Cortese1

  • 1Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.

European journal of neurology
|September 29, 2025
PubMed
概括

这项研究揭示了多发性硬化症 (MS) 的结构性和功能性大脑变化如何共同波动. 这种多模式MRI方法比传统措施更好地解释临床残疾.

关键词:
共同波动的模式.功能性的超连接性功能性超连接性.多模式的MRI.多发性硬化症多发性硬化症结构断开连接 结构断开连接

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科学领域:

  • 神经成像是一种神经成像.
  • 放射学 放射学是一门学科.
  • 神经学 神经学

背景情况:

  • 多发性硬化症 (MS) 涉及复杂的结构和功能性大脑变化.
  • 这些变化与MS的临床结果之间的相互作用尚未完全理解.

研究的目的:

  • 通过使用多模式MRI融合方法,识别MS中结构性和功能性大脑变化的共同波动模式.
  • 评估这些模式在解释临床结果方面的附加值.

主要方法:

  • 连接的独立组件分析 (ICA) 用于白质 (WM) 病变,微分异性质 (FA),灰质 (GM) 体积和功能连接.
  • 图形理论 (GT) 确定了相互连接的大脑区域.
  • 线性混合效应模型和多变量渐进回归分析了与残疾的关联.

主要成果:

  • 与健康对照组 (HC) 相比,MS患者表现出明显的共同波动模式,包括减少FA,增加WM病变,GM缩,以及增强顶网络连接.
  • 图形理论确定了八个大脑子网络.
  • 这些多式模式比传统的MRI指标更有效地解释了身体和认知障碍.

结论:

  • 多模式的MRI方法揭示了MS中病变,结构断裂和功能超连接的共同波动的区域模式.
  • 与传统的MRI指标相比,这种全面的方法可以更好地解释临床结果.