在阿尔茨海默病患者中,大脑网络和发育
Dong Ah Lee1, Ho-Joon Lee2, Si Eun Kim1
1Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea.
Brain and behavior
|July 7, 2023
概括
大脑网络的差异与阿尔茨海默病 (AD) 患者的发育有关. 这项研究揭示了在患有的阿尔茨海默氏症患者中明显的全球和体网络变化.
科学领域:
- 神经科学是一个神经科学.
- 神经学 神经学
- 医疗成像医学成像
背景情况:
- 阿尔茨海默病 (AD) 是一种神经退行性疾病.
- 是阿尔茨海默病患者常见的并发症,影响疾病进展和患者的结果.
- 大脑网络变化与阿尔茨海默氏症中发作的关系尚不完全理解.
研究的目的:
- 为了研究全球和内在的thalamic大脑网络和阿尔茨海默病 (AD) 患者中发作的发展之间的联系.
- 确定特定的网络特征,使得患有的AD患者与没有的患者有所区别.
主要方法:
- 结构磁共振成像 (MRI) 在新诊断的AD患者和健康对照组中进行.
- 使用FreeSurfer获得了皮层,皮层下和乳头核的体积.
- 图形理论分析 (BRAPH) 应用于结构体积,以构建全球和内在的thalamic大脑网络.
主要成果:
- 全球大脑网络在阿兹海默症患者和健康对照人群之间有所不同,在阿兹海默症患者中显示较低的局部效率和平均聚类系数,以及较高的特征路径长度.
- 在患有和没有的AD患者之间观察到全球和内在的thalamic网络的显著差异.
- 与没有的患者相比,患有的AD患者表现出较低的局部效率,平均聚类系数和平均程度,同时在他们的全球大脑网络中具有较高的特征路径长度.
结论:
- 与健康个体相比,阿尔茨海默病患者的全球大脑网络拓结构发生了变化.
- 全球性和内在的thalamic大脑网络的特定变化与阿尔茨海默病患者的发病显著相关.
- 这些发现突出了基于神经成像的网络分析的潜力,以了解AD中的病理生理学.
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