基于连接组的常染色体显性阿尔茨海默病大脑病理和认知预测模型

Vaibhav Tripathi, Joshua Fox-Fuller, Vincent Malotaux, Ana Baena, Nikole Bonillas Felix, Sergio Alvarez, David Aguillon, Francisco Lopera, David C Somers, Yakeel T. Quiroz
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引用次数: 0

摘要

导言 常染色体显性阿尔茨海默病(ADAD)通过基因突变可导致疾病的近乎完全表达。通过对预激蛋白-1(PSEN1)E280A 基因突变携带者的阿尔茨海默病病理发展进行追踪,我们可以观察到早在症状出现前 6 年就已出现的初期头绪缠结累积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Connectome-based predictive modeling of brain pathology and cognition in Autosomal Dominant Alzheimer’s Disease
INTRODUCTION Autosomal Dominant Alzheimer’s Disease (ADAD) through genetic mutations can result in near complete expression of the disease. Tracking AD pathology development in an ADAD cohort of Presenilin-1 (PSEN1) E280A carriers’ mutation has allowed us to observe incipient tau tangles accumulation as early as 6 years prior to symptom onset.
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