Chen Ting-Yu, Zhu Jun-Ding, Tsai Shih-Jen, Yang Albert C
Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Digital Medicine and Smart Healthcare Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Alzheimers Res Ther. 2024 Apr 23;16(1):88. doi: 10.1186/s13195-024-01448-1.
Alzheimer's disease is characterized by large-scale structural changes in a specific pattern. Recent studies developed morphological similarity networks constructed by brain regions similar in structural features to represent brain structural organization. However, few studies have used local morphological properties to explore inter-regional structural similarity in Alzheimer's disease.
Here, we sourced T1-weighted MRI images of 342 cognitively normal participants and 276 individuals with Alzheimer's disease from the Alzheimer's Disease Neuroimaging Initiative database. The relationships of grey matter intensity between adjacent voxels were defined and converted to the structural pattern indices. We conducted the information-based similarity method to evaluate the structural similarity of structural pattern organization between brain regions. Besides, we examined the structural randomness on brain regions. Finally, the relationship between the structural randomness and cognitive performance of individuals with Alzheimer's disease was assessed by stepwise regression.
Compared to cognitively normal participants, individuals with Alzheimer's disease showed significant structural pattern changes in the bilateral posterior cingulate gyrus, hippocampus, and olfactory cortex. Additionally, individuals with Alzheimer's disease showed that the bilateral insula had decreased inter-regional structural similarity with frontal regions, while the bilateral hippocampus had increased inter-regional structural similarity with temporal and subcortical regions. For the structural randomness, we found significant decreases in the temporal and subcortical areas and significant increases in the occipital and frontal regions. The regression analysis showed that the structural randomness of five brain regions was correlated with the Mini-Mental State Examination scores of individuals with Alzheimer's disease.
Our study suggested that individuals with Alzheimer's disease alter micro-structural patterns and morphological similarity with the insula and hippocampus. Structural randomness of individuals with Alzheimer's disease changed in temporal, frontal, and occipital brain regions. Morphological similarity and randomness provide valuable insight into brain structural organization in Alzheimer's disease.
阿尔茨海默病的特征是特定模式的大规模结构变化。最近的研究开发了由结构特征相似的脑区构建的形态相似性网络,以表征脑结构组织。然而,很少有研究利用局部形态学特性来探索阿尔茨海默病中区域间的结构相似性。
在此,我们从阿尔茨海默病神经影像倡议数据库中获取了342名认知正常参与者和276名阿尔茨海默病患者的T1加权磁共振成像图像。定义相邻体素之间灰质强度的关系,并将其转换为结构模式指数。我们采用基于信息的相似性方法来评估脑区之间结构模式组织的结构相似性。此外,我们检查了脑区的结构随机性。最后,通过逐步回归评估阿尔茨海默病患者的结构随机性与认知表现之间的关系。
与认知正常参与者相比,阿尔茨海默病患者在双侧后扣带回、海马体和嗅觉皮质中表现出显著的结构模式变化。此外,阿尔茨海默病患者显示双侧岛叶与额叶的区域间结构相似性降低,而双侧海马体与颞叶和皮质下区域的区域间结构相似性增加。对于结构随机性,我们发现颞叶和皮质下区域显著降低,枕叶和额叶区域显著增加。回归分析表明,五个脑区的结构随机性与阿尔茨海默病患者的简易精神状态检查得分相关。
我们的研究表明,阿尔茨海默病患者会改变微观结构模式以及与岛叶和海马体的形态相似性。阿尔茨海默病患者的结构随机性在颞叶、额叶和枕叶脑区发生了变化。形态相似性和随机性为阿尔茨海默病的脑结构组织提供了有价值的见解。