Wang Yao, Liu Mianxin, Chen Yuewei, Qiu Yage, Han Xu, Xu Qun, Shen Dinggang, Zhou Yan
Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Shanghai Artificial Intelligence Laboratory, Shanghai, China.
Front Aging Neurosci. 2024 Nov 28;16:1465181. doi: 10.3389/fnagi.2024.1465181. eCollection 2024.
To investigate the potential trade-offs among brain structural network characteristics across different stages of cognitive impairment in cerebral small vessel disease (CSVD) based on diffusion tensor imaging (DTI).
A total of 264 CSVD patients, including 95 patients with non-cognitive impairment (NCI), 142 with mild cognitive impairment (MCI), 27 with vascular dementia (VaD), and 30 healthy controls (HC) underwent cognitive test and brain diffusion magnetic resonance imaging (MRI). The brain structural network was constructed using connections between 90 cortical and subcortical regions. Network characteristics, including sparsity, redundancy, global efficiency (Eg), and local efficiency (Eloc), were calculated.
Sparsity and redundancy significantly declined in the NCI group compared to the HC group. Eg was significantly reduced in the MCI group compared to the NCI group. All network characteristics declined in the VaD group compared to the MCI group. In the NCI group, both sparsity and redundancy were significantly positively correlated with Montreal Cognitive Assessment (MoCA). In the MCI group, there was significant positive correlation between Eg and MoCA. In the VaD group, there was significant negative correlation between Eloc and MoCA. When controlling for sparsity, Eloc exhibited a significant negative correlation with Eg in all three CSVD groups, while redundancy displayed a significant negative correlation with Eg specifically in MCI group.
Our study provides evidence for the heterogeneous alterations in brain structural network across different stages of cognitive impairment in CSVD. The disconnection of brain structural network at NCI stage is mainly the loss of redundant connections. The decline of Eg is the vital factor for cognitive impairment at MCI stage. The decline of all network characteristics is the prominent manifestation at VaD stage. Throughout the cognitive decline process in CSVD, there are trade-offs among the brain network wiring cost, integration, and segregation.
基于扩散张量成像(DTI)研究脑小血管病(CSVD)不同认知障碍阶段脑结构网络特征之间的潜在权衡。
共有264例CSVD患者,包括95例无认知障碍(NCI)患者、142例轻度认知障碍(MCI)患者、27例血管性痴呆(VaD)患者和30例健康对照(HC),接受了认知测试和脑扩散磁共振成像(MRI)。利用90个皮质和皮质下区域之间的连接构建脑结构网络。计算网络特征,包括稀疏性、冗余性、全局效率(Eg)和局部效率(Eloc)。
与HC组相比,NCI组的稀疏性和冗余性显著下降。与NCI组相比,MCI组的Eg显著降低。与MCI组相比,VaD组的所有网络特征均下降。在NCI组中,稀疏性和冗余性均与蒙特利尔认知评估(MoCA)显著正相关。在MCI组中,Eg与MoCA之间存在显著正相关。在VaD组中,Eloc与MoCA之间存在显著负相关。当控制稀疏性时,在所有三个CSVD组中Eloc与Eg均呈显著负相关,而冗余性在MCI组中与Eg呈显著负相关。
我们的研究为CSVD不同认知障碍阶段脑结构网络的异质性改变提供了证据。NCI阶段脑结构网络的断开主要是冗余连接的丧失。Eg的下降是MCI阶段认知障碍的关键因素。所有网络特征的下降是VaD阶段的突出表现。在CSVD的整个认知衰退过程中,脑网络布线成本、整合和分离之间存在权衡。