TY - JOUR
T1 - Closed-loop dynamic modeling of cerebral hemodynamics
AU - Marmarelis, V. Z.
AU - Shin, D. C.
AU - Orme, M. E.
AU - Zhang, R.
N1 - Funding Information:
This work was supported in part by the Biomedical Simulations Resource at the University of Southern California under NIH/NIBIB grant P41-EB001978 and NIA R01AG033106-01 grant to the UT-South-western Medical Center.
PY - 2013/5
Y1 - 2013/5
N2 - The dynamics of cerebral hemodynamics have been studied extensively because of their fundamental physiological and clinical importance. In particular, the dynamic processes of cerebral flow autoregulation (CFA) and CO2 vasomotor reactivity have attracted broad attention because of their involvement in a host of pathologies and clinical conditions (e.g., hypertension, syncope, stroke, traumatic brain injury, vascular dementia, Alzheimer's disease, mild cognitive impairment etc.). This raises the prospect of useful diagnostic methods being developed on the basis of quantitative models of cerebral hemodynamics, if cerebral vascular dysfunction can be quantified reliably from data collected within practical clinical constraints. This paper presents a modeling method that utilizes beat-to-beat measurements of mean arterial blood pressure, cerebral blood flow velocity and end-tidal CO2 (collected non-invasively under resting conditions) to quantify the dynamics of CFA and cerebral vasomotor reactivity (CVMR). The unique and novel aspect of this dynamic model is that it is nonlinear and operates in a closed-loop configuration.
AB - The dynamics of cerebral hemodynamics have been studied extensively because of their fundamental physiological and clinical importance. In particular, the dynamic processes of cerebral flow autoregulation (CFA) and CO2 vasomotor reactivity have attracted broad attention because of their involvement in a host of pathologies and clinical conditions (e.g., hypertension, syncope, stroke, traumatic brain injury, vascular dementia, Alzheimer's disease, mild cognitive impairment etc.). This raises the prospect of useful diagnostic methods being developed on the basis of quantitative models of cerebral hemodynamics, if cerebral vascular dysfunction can be quantified reliably from data collected within practical clinical constraints. This paper presents a modeling method that utilizes beat-to-beat measurements of mean arterial blood pressure, cerebral blood flow velocity and end-tidal CO2 (collected non-invasively under resting conditions) to quantify the dynamics of CFA and cerebral vasomotor reactivity (CVMR). The unique and novel aspect of this dynamic model is that it is nonlinear and operates in a closed-loop configuration.
KW - Cerebral autoregulation
KW - Cerebral flow autoregulation
KW - Cerebral vasomotor reactivity
KW - Closed-loop modeling
KW - Modeling cerebral hemodynamics
KW - Nonlinear modeling
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U2 - 10.1007/s10439-012-0736-8
DO - 10.1007/s10439-012-0736-8
M3 - Article
C2 - 23292615
AN - SCOPUS:84876460981
SN - 0090-6964
VL - 41
SP - 1029
EP - 1048
JO - Annals of biomedical engineering
JF - Annals of biomedical engineering
IS - 5
ER -