Linear Assessment of Cerebral Autoregulation in Idiopathic Parkinson's Disease

Abstract

Parkinson's disease cases have been on the rise in the recent years, which promoted several different researches into the disorder. However, there hasn't much research been done in the non-motor aspects of the disease. This study aims to improve the understanding of one of the non-motor symptoms of Parkinson's disease. Specifically, this research aims to further understand cerebral autoregulation in patients with Parkinson's disease. In order to achieve this aim, 25 subjects were recruited, with 11 healthy controls and 14 patients with Parkinson's disease. The continuous blood pressure and continuous cerebral blood flow velocity of all subjects were recorded and processed while the subjects were at rest, tilt-up, and during hyperventilation. Linear signal and system analysis techniques were applied such as the power spectral density analysis and cross-correlation function analysis. Results showed that patients with Parkinson's disease did not show a significant difference from the control group while at rest and after tilt-up. However, there was a significant difference between the groups during hyperventilation. The results obtained in this study suggested that the metabolic regulatory pathway for cerebral autoregulation is impaired in patients with Parkinson's disease.

Can we use short recordings for assessment of dynamic cerebral autoregulation? A sensitivity analysis study in acute ischaemic stroke and healthy subjects

“…Data used for this study were extracted from the Leicester Cerebral Haemodynamics Database (Patel et al 2016), which comprises a large number of recordings performed in both healthy subjects and AIS patients (Llwyd et al 2018). All studies that contributed to the database had local research Ethics Committee approval (Katsogridakis et al 2011, Nogueira et al 2013, Haunton 2014, Salinet et al 2014, Llwyd et al 2017, Lam et al 2019 and all subjects provided written informed consent. These studies had high homogeneity in protocols for inclusion and exclusion criteria, as well as measurement procedures (Brodie et al 2009, Saeed et al 2013, Atkins et al 2010.…”