The analysis of cardio-respiratory signals and cerebral autoregulation based on CO 2 reactivity with healthy subjects and Parkinson's patients

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 P_ETCO2 were examined. To minimize effects of changes in ABP on cerebral vasomotor reactivity (CVMR) estimation, cerebrovascular conductance index (CVC_i) was calculated, and CBFV-P_ETCO2 and CVC_i-P_ETCO2 relationships were quantified by nonlinear logistic regression. The interaction between ventilation responses and CBF autoregulation will be modeled and parameters will be validated.