PDF(Pubmed)
Abstract：
A research participant was monitored over nearly two decades at Mayo Clinic, undergoing annual neurologic assessments, neuropsychological tests, and multimodal imaging. Initially, he was cognitively normal but developed symptoms consistent with Posterior Cortical Atrophy (PCA) during the study. Early tests indicated mild, yet normal-range declines in language and visuospatial skills. FDG-PET scans revealed increased metabolism in posterior brain regions long before symptoms appeared. Advanced analysis using a novel in-house machine-learning tool predicted concurrent Alzheimer\'s disease and dementia with Lewy bodies. Autopsy confirmed a mixed neurodegenerative condition with significant Alzheimer\'s pathology and dense neocortical Lewy bodies. This case underscores the value of longitudinal imaging in predicting complex neurodegenerative diseases, offering vital insights into the early neurocognitive changes associated with PCA and dementia with Lewy bodies.
摘要：
一名研究参与者在梅奥诊所接受了近二十年的监测，接受年度神经评估，神经心理学测试,和多模态成像。最初，他的认知正常，但在研究期间出现了与后皮质萎缩（PCA）一致的症状。早期测试表明轻度，然而，语言和视觉空间技能的正常范围下降。FDG-PET扫描显示，在症状出现之前很久，大脑后部区域的代谢就增加了。使用一种新颖的内部机器学习工具进行高级分析，预测了阿尔茨海默病和路易体痴呆的并发性。尸检证实混合神经退行性疾病，具有明显的阿尔茨海默病病理和密集的新皮质路易体。该病例强调了纵向成像在预测复杂神经退行性疾病中的价值。提供与PCA和路易体痴呆相关的早期神经认知变化的重要见解。
