Publications by authors named "Margarita A Simonyan"

Background/Objectives-Parkinson's disease (PD) is the second most common neurodegenerative disorder caused by the destruction of neurons in the substantia nigra of the brain. Clinical diagnosis of this disease, based on monitoring motor symptoms, often leads to a delayed start of PD therapy and control, where over 60% of dopaminergic nerve cells are damaged in the brain substantia nigra. The search for simple and stable characteristics of EEG recordings is a promising direction in the development of methods for diagnosing PD and methods for diagnosing the preclinical stage of PD development.

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The question of how much information the photoplethysmogram (PPG) signal contains on the autonomic regulation of blood pressure (BP) remains unsolved. This study aims to compare the low-frequency (LF) and high-frequency components of PPG and BP and assess their correlation with oscillations in interbeat (RR) intervals at similar frequencies. The PPG signal from the distal phalanx of the right index finger recorded using a reflective PPG sensor at green light, the BP signal from the left hand recorded using a Finometer, and RR intervals were analyzed.

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Article Synopsis
  • A mathematical model for autonomic control of the cardiovascular system includes two self-exciting loops regulating heart rate and blood vessel tone based on baroreceptor activity.
  • The model analyzes how a healthy cardiovascular system adapts during a passive head-up tilt test, using computer simulations to track variables that are hard to measure directly, like noradrenaline concentration and blood pressure.
  • Results show the model's predictions align closely with experimental data from 50 healthy individuals, especially focusing on low-frequency oscillations in heart rate and blood pressure synchronization.
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