关键词: Alzheimer’s disease Information-based similarity method Morphological similarity network Structural magnetic resonance imaging

Mesh : Humans Alzheimer Disease / pathology diagnostic imaging Male Female Magnetic Resonance Imaging / methods Aged Gray Matter / diagnostic imaging pathology Brain / diagnostic imaging pathology Aged, 80 and over Image Processing, Computer-Assisted Neuroimaging / methods

来  源:   DOI:10.1186/s13195-024-01448-1   PDF(Pubmed)

Abstract:
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.
摘要:
背景:阿尔茨海默病的特征是特定模式下的大规模结构变化。最近的研究开发了由结构特征相似的大脑区域构建的形态相似性网络,以表示大脑的结构组织。然而,很少有研究使用局部形态学特征来探索阿尔茨海默病的区域间结构相似性。
方法:这里,我们从阿尔茨海默病神经影像学计划数据库中获取了342例认知正常参与者和276例阿尔茨海默病患者的T1加权MRI图像.定义了相邻体素之间的灰质强度关系,并将其转换为结构模式指数。我们进行了基于信息的相似性方法来评估大脑区域之间结构模式组织的结构相似性。此外,我们检查了大脑区域的结构随机性。最后,通过逐步回归法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。
结果:与认知正常参与者相比,患有阿尔茨海默病的个体在双侧后扣带回表现出显著的结构模式改变,海马体,和嗅觉皮层。此外,患有阿尔茨海默病的个体显示,双侧脑岛与额叶区域的区域间结构相似性降低,而双侧海马与颞区和皮质下区域的区域间结构相似性增加。对于结构随机性,我们发现颞部和皮质下区域显著减少,枕部和额部区域显著增加.回归分析显示,5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量表评分相关。
结论:我们的研究表明,患有阿尔茨海默病的个体改变了与脑岛和海马的微观结构模式和形态相似性。阿尔茨海默病个体的结构随机性随时间变化,额叶,和枕骨大脑区域。形态学上的相似性和随机性为阿尔茨海默病的大脑结构组织提供了有价值的见解。
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