Institut du Cerveau et de la Moelle épinière (ICM) & Inserm, U 1127 & CNRS, UMR 7225, Sorbonne Université, 75013, Paris, France.
Inria, Aramis project-team, Paris, France.
Sci Rep. 2021 Apr 13;11(1):8020. doi: 10.1038/s41598-021-87434-1.
Alzheimer's disease (AD) is characterized by the progressive alterations seen in brain images which give rise to the onset of various sets of symptoms. The variability in the dynamics of changes in both brain images and cognitive impairments remains poorly understood. This paper introduces AD Course Map a spatiotemporal atlas of Alzheimer's disease progression. It summarizes the variability in the progression of a series of neuropsychological assessments, the propagation of hypometabolism and cortical thinning across brain regions and the deformation of the shape of the hippocampus. The analysis of these variations highlights strong genetic determinants for the progression, like possible compensatory mechanisms at play during disease progression. AD Course Map also predicts the patient's cognitive decline with a better accuracy than the 56 methods benchmarked in the open challenge TADPOLE. Finally, AD Course Map is used to simulate cohorts of virtual patients developing Alzheimer's disease. AD Course Map offers therefore new tools for exploring the progression of AD and personalizing patients care.
阿尔茨海默病(AD)的特征是大脑图像中出现的进行性改变,从而导致各种症状的出现。大脑图像和认知障碍变化的动态的可变性仍未得到很好的理解。本文介绍了 AD 病程图(AD Course Map),这是阿尔茨海默病进展的时空图谱。它总结了一系列神经心理学评估进展的可变性、大脑区域间低代谢和皮质变薄的传播以及海马体形状的变形。这些变化的分析强调了进展的强烈遗传决定因素,例如疾病进展过程中可能发挥作用的补偿机制。AD 病程图还可以比 TADPOLE 开放挑战中基准的 56 种方法更准确地预测患者的认知能力下降。最后,AD 病程图用于模拟患有阿尔茨海默病的虚拟患者队列。因此,AD 病程图为探索 AD 的进展和个性化患者护理提供了新的工具。