4.4 Article

Model-based physiomarkers of cerebral hemodynamics in patients with mild cognitive impairment

Journal

MEDICAL ENGINEERING & PHYSICS
Volume 36, Issue 5, Pages 628-637

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.medengphy.2014.02.025

Keywords

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

Funding

  1. Biomedical Simulations Resource at the University of Southern California under NIH/NIBIB [P41-EB001978]
  2. NIA [R01AG033106-01]

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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.

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