结构协变网络的富裕俱乐部连接与轻度认知障碍和阿尔茨海默病的记忆过程有关。
Rich-Club Connectivity of the Structural Covariance Network Relates to Memory Processes in Mild Cognitive Impairment and Alzheimer's Disease.
机构信息
Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.
School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands.
出版信息
J Alzheimers Dis. 2022;89(1):209-217. doi: 10.3233/JAD-220175.
BACKGROUND
Though mediotemporal lobe volume changes are well-known features of Alzheimer's disease (AD), grey matter volume changes may be distributed throughout the brain. These distributed changes are not independent due to the underlying network structure and can be described in terms of a structural covariance network (SCN).
OBJECTIVE
To investigate how the cortical brain organization is altered in AD we studied the mutual connectivity of hubs in the SCN, i.e., the rich-club.
METHODS
To construct the SCNs, cortical thickness was obtained from structural MRI for 97 participants (normal cognition, n = 37; mild cognitive impairment, n = 41; Alzheimer-type dementia, n = 19). Subsequently, rich-club coefficients were calculated from the SCN, and related to memory performance and hippocampal volume using linear regression.
RESULTS
Lower rich-club connectivity was related to lower memory performance as well as lower hippocampal volume.
CONCLUSION
Therefore, this study provides novel evidence of reduced connectivity in hub areas in relation to AD-related cognitive impairments and atrophy.
背景
虽然中颞叶体积变化是阿尔茨海默病（AD）的显著特征，但灰质体积变化可能分布在整个大脑中。由于潜在的网络结构，这些分布变化不是独立的，可以用结构协方差网络（SCN）来描述。
目的
为了研究 AD 中皮质脑组织结构的改变，我们研究了 SCN 中枢纽（即丰富俱乐部）之间的相互连接。
方法
为了构建 SCN，我们从 97 名参与者的结构 MRI 中获得了皮质厚度（正常认知，n = 37；轻度认知障碍，n = 41；阿尔茨海默病型痴呆，n = 19）。然后，从 SCN 中计算丰富俱乐部系数，并使用线性回归将其与记忆表现和海马体体积相关联。
结果
较低的丰富俱乐部连接性与较低的记忆表现以及较低的海马体体积有关。
结论
因此，这项研究提供了新的证据，表明与 AD 相关的认知障碍和萎缩有关的枢纽区域连接性降低。
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