Affiliations: [a] Department of Information Communication, MingDao University, Taiwan | [b] Department of Automatic Control Engineering, Feng Chia University, Taiwan | [c] Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taiwan | [d] Department of Neurology, Cheng Ching General Hospital, Taichung, Taiwan | [e] Department of Statistics, Feng Chia University, Taichung, Taiwan
Correspondence:
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Corresponding author: Shyan-Lung Lin, Department of Information Communication, MingDao University, and Department of Automatic Control Engineering, Feng Chia University. 100 Wenhwa Rd., Seatween, Taichung, Taiwan. E-mail:sllin@fcu.edu.tw
Abstract: Current paper focus on Parkinson's patients with
autonomic dysfunction and how their interactions between cerebral
autoregulation and ventilatory control are affected. The experimental data
of dynamic CA assessment from the ANS Laboratory of CCGH was accessed for
further processing and analysis. The subjects were classified into the
groups of healthy and with Parkinson's disease. Based on the accessed
ventilation and CBF data, the percentage changes in ventilation and CBF
responses to PETCO2 were examined. To minimize effects of changes in
ABP on cerebral vasomotor reactivity (CVMR) estimation, cerebrovascular
conductance index (CVCi) was calculated, and CBFV-PETCO2 and
CVCi-PETCO2 relationships were quantified by nonlinear logistic
regression. The interaction between ventilation responses and CBF
autoregulation will be modeled and parameters will be validated.
Keywords: Parkinson's, cerebral autoregulation, cerebral vasomotor reactivity, cerebrovascular conductance index
