Altered static and dynamic functional network connectivity in Alzheimer's disease and subcortical ischemic vascular disease: shared and specific brain connectivity abnormalities
Altered static and dynamic functional network connectivity in Alzheimer's disease and subcortical ischemic vascular disease: shared and specific brain connectivity abnormalities
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DOI：
10.1002/hbm.24591
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发表时间：
2019-08-01
影响因子：
4.8
通讯作者：
Calhoun, Vince D.
中科院分区：
文献类型：
--
作者：
Fu, Zening;Caprihan, Arvind;Calhoun, Vince D.
皮层缺血性血管疾病（SIVD）是血管性痴呆的主要亚型，其特征在临床上与阿尔茨海默氏病（AD）重叠，并混淆诊断。神经影像学是一种更具体和基于生物学的方法，用于检测大脑变化，因此可能有助于区分这些疾病。仍然缺乏有关共享和特定功能性脑异常的知识，尤其是与AD和SIVD相关的功能连通性变化。在这项研究中，我们研究了19例AD患者，19名SIVD患者和38个年龄匹配的健康对照组的54个固有连通性网络之间的静态功能网络连通性（SFNC）和动态FNC（DFNC）（DFNC）。结果表明，两个患者组在视觉和小脑（CB）域之间增加了SFNC，但在认知控制和CB结构域之间降低了SFNC。 SIVD在感觉运动域内特异性降低了SFNC，而AD已专门改变了默认模式和CB域之间的SFNC。此外，在弱连接的DFNC状态下，SIVD的发生时间越多，停留时间较长，但在牢固连接的DFNC状态下的出现较少，停留时间较短。 AD在某些动态特征上具有相似和相反的变化。更重要的是，发现动态特征与认知性能有关。我们的发现从静态和动态角度突出了AD和SIVD中类似和独特的功能连接性改变，这表明DFNC是痴呆症的更重要的生物标志物，因为其逐渐改变的模式可以更好地跟踪AD和SIVD中的认知障碍。
Subcortical ischemic vascular disease (SIVD) is a major subtype of vascular dementia with features that overlap clinically with Alzheimer's disease (AD), confounding diagnosis. Neuroimaging is a more specific and biologically based approach for detecting brain changes and thus may help to distinguish these diseases. There is still a lack of knowledge regarding the shared and specific functional brain abnormalities, especially functional connectivity changes in relation to AD and SIVD. In this study, we investigated both static functional network connectivity (sFNC) and dynamic FNC (dFNC) between 54 intrinsic connectivity networks in 19 AD patients, 19 SIVD patients, and 38 age-matched healthy controls. The results show that both patient groups have increased sFNC between the visual and cerebellar (CB) domains but decreased sFNC between the cognitive-control and CB domains. SIVD has specifically decreased sFNC within the sensorimotor domain while AD has specifically altered sFNC between the default-mode and CB domains. In addition, SIVD has more occurrences and a longer dwell time in the weakly connected dFNC states, but with fewer occurrences and a shorter dwell time in the strongly connected dFNC states. AD has both similar and opposite changes in certain dynamic features. More importantly, the dynamic features are found to be associated with cognitive performance. Our findings highlight similar and distinct functional connectivity alterations in AD and SIVD from both static and dynamic perspectives and indicate dFNC to be a more important biomarker for dementia since its progressively altered patterns can better track cognitive impairment in AD and SIVD.