Predicting brain age from functional connectivity in symptomatic and preclinical Alzheimer disease
NeuroImage(2022)
摘要
•A machine learning model can predict age from functional connectivity in controls.•Model estimates of age are significantly elevated in symptomatic Alzheimer disease.•Model estimates of age are surprisingly reduced in preclinical Alzheimer disease.•Distinct functional networks were sensitive to age and Alzheimer differences.
更多查看译文
关键词
Brain aging,Alzheimer disease,Resting-state functional connectivity,fMRI,Machine learning
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要