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

V. Z. Marmarelis, D. C. Shin, M. E. Orme, R. Zhang

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)628-637
Number of pages10
JournalMedical Engineering and Physics
Volume36
Issue number5
DOIs
StatePublished - May 2014

Keywords

  • Alzheimer's disease
  • Cerebral hemodynamics
  • Closed-loop PDM-based model
  • Mild cognitive impairment
  • Model-based physiomarkers
  • Modeling of cerebral autoregulation
  • Nonlinear modeling
  • Principal dynamic modes

ASJC Scopus subject areas

  • Biophysics
  • Biomedical Engineering

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