期刊
MEDICAL ENGINEERING & PHYSICS
卷 36, 期 5, 页码 628-637出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.medengphy.2014.02.025
关键词
Modeling of cerebral autoregulation; Cerebral hemodynamics; Nonlinear modeling; Principal dynamic modes; Closed-loop PDM-based model; Mild cognitive impairment; Model-based physiomarkers; Alzheimer's disease
资金
- Biomedical Simulations Resource at the University of Southern California under NIH/NIBIB [P41-EB001978]
- NIA [R01AG033106-01]
In our previous studies, we have introduced model-based functional biomarkers or physiomarkers of cerebral hemodynamics that hold promise for improved diagnosis of early-stage Alzheimer's disease (AD). The advocated methodology utilizes subject-specific data-based dynamic nonlinear models of cerebral hemodynamics to compute indices (serving as possible diagnostic physiomarkers) that quantify the state of cerebral blood flow autoregulation to pressure-changes (CFAP) and cerebral CO2 vasomotor reactivity (CVMR) in each subject. The model is estimated from beat-to-beat measurements of mean arterial blood pressure, mean cerebral blood flow velocity and end-tidal CO2, which can be made reliably and non-invasively under resting conditions. In a previous study, it was found that a CVMR index quantifying the impairment in CO2 vasomotor reactivity correlates with clinical indications of early AD, offering the prospect of a potentially useful diagnostic tool. In this paper, we explore the use of the same model-based indices for patients with amnestic Mild Cognitive Impairment (MCI), a preclinical stage of AD, relative to a control subjects and clinical cognitive assessments. It was found that the model-based CVMR values were lower for MCI patients relative to the control subjects. (C) 2014 IPEM. Published by Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据