Variability of resting state brain activity is predictive of Severity of Alzheimer”s Disease
Differentiating Alzheimer”s Disease(AD)from normal controls and predicting disease severity remain a high priority in AD research.Resting state brain activity accounts for most of brain energy and may carry information critical for that endeavor.Previous resting state studies have been heavily relied on the low-frequency components of resting state brain activity,leaving the other frequency bands unattended.Such empirical manipulation may miss important information for characterizing AD.The purpose of this study was to evaluate a frequency-independent marker for differentiating AD from controls and for predicting disease severity,the variability of resting state activity represented in resting state fMRI(rsfMRI).Our hypotheses were rsfMRI variability is reproducible across time; AD patients show higher variability and higher variability will predict severer disease.These hypotheses were proven truth with extensive experiments.Our results demonstrate rsfMRI variability as a potentially useful biomarker for diagnosing AD and monitoring disease progression.
resting state fMRI variability Alzheimer”s Disease test-retest stability
Zhengjun Li Ze Wang
Department of Psychiatry,Perelman School of Medicine,University of Pennsylvania 杭州师范大学认知与脑疾病研究中心,杭州市温州路126号7号楼磁共振室,310005;Department of Psychiatry,Perelman School of Medicine,Unive
国内会议
南京
英文
1-5
2015-10-16（万方平台首次上网日期，不代表论文的发表时间）