Bergamino Maurizio, Schiavi Simona, Daducci Alessandro, Walsh Ryan R, Stokes Ashley M
Barrow Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, AZ, United States.
Department of Computer Science, University of Verona, Verona, Italy.
Front Aging Neurosci. 2022 Jan 31;14:793991. doi: 10.3389/fnagi.2022.793991. eCollection 2022.
White matter integrity and structural connectivity may be altered in mild cognitive impairment (MCI), and these changes may closely reflect decline in specific cognitive domains. Multi-shell diffusion data in healthy control (HC, = 31) and mild cognitive impairment (MCI, = 19) cohorts were downloaded from the ADNI3 database. The data were analyzed using an advanced approach to assess both white matter microstructural integrity and structural connectivity. Compared with HC, lower intracellular compartment (IC) and higher isotropic (ISO) values were found in MCI. Additionally, significant correlations were found between IC and Montreal Cognitive Assessment (MoCA) scores in the MCI cohort. Network analysis detected structural connectivity differences between the two groups, with lower connectivity in MCI. Additionally, significant differences between HC and MCI were observed for global network efficiency. Our results demonstrate the potential of advanced diffusion MRI biomarkers for understanding brain changes in MCI.
轻度认知障碍（MCI）可能会改变白质完整性和结构连通性，并且这些变化可能密切反映特定认知领域的衰退。从ADNI3数据库下载了健康对照（HC，n = 31）和轻度认知障碍（MCI，n = 19）队列的多壳扩散数据。使用一种先进的方法对数据进行分析，以评估白质微观结构完整性和结构连通性。与HC相比，MCI中细胞内 compartment（IC）值较低，各向同性（ISO）值较高。此外，在MCI队列中，IC与蒙特利尔认知评估（MoCA）分数之间存在显著相关性。网络分析检测到两组之间的结构连通性差异，MCI中的连通性较低。此外，在全局网络效率方面，HC和MCI之间观察到显著差异。我们的结果证明了先进的扩散MRI生物标志物在理解MCI脑变化方面的潜力。
