Dementia is a devastating disease that currently cannot be effectively cured. A better understanding of the early physiologic processes in people ‘at-risk’ of developing dementia could improve our ability to differentiate various pathophysiological processes contributing to dementia pathology. Research examining the integrity of the autonomic nervous system is mixed for various types of dementia, as well as people who are ‘at-risk’ of dementia. Studying autonomic activities, especially parasympathetic activities during sleep - via heart rate variability can potentially shed light on the mixed findings of studies that have been conducted during the daytime. Furthermore, proper autonomic regulation is dependent on both the functional and s...
In this study, we employ a time-varying, probabilistic model of linear and nonlinear heartbeat dynam...
In this study, we employ a time-varying, probabilistic model of linear and nonlinear heartbeat dynam...
In this study, we employ a time-varying, probabilistic model of linear and nonlinear heartbeat dynam...
Background: Altered autonomic modulation, measured by heart rate variability (HRV), has been found t...
Abstract Mild cognitive impairment (MCI) is a heterogeneous syndrome with two main clinical subtypes...
Mild cognitive impairment (MCI) is set to become a major health problem with the exponential ageing ...
<div><p>Background</p><p>Mild cognitive impairment (MCI) is set to become a major health problem wit...
The heart and brain have bi-directional influences on each other, including autonomic regulation and...
Sleep is divided into two main sleep stages: (1) non-rapid eye movement sleep (non-REMS), characteri...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Functional neuroimaging has provided indications of direct/indirect functional links between the aut...
In this study, we employ a time-varying, probabilistic model of linear and nonlinear heartbeat dynam...
In this study, we employ a time-varying, probabilistic model of linear and nonlinear heartbeat dynam...
In healthy, young individuals, a reduction in cardiovascular output and a shift from sympathetic to ...
In this study, we employ a time-varying, probabilistic model of linear and nonlinear heartbeat dynam...
In this study, we employ a time-varying, probabilistic model of linear and nonlinear heartbeat dynam...
In this study, we employ a time-varying, probabilistic model of linear and nonlinear heartbeat dynam...
In this study, we employ a time-varying, probabilistic model of linear and nonlinear heartbeat dynam...
Background: Altered autonomic modulation, measured by heart rate variability (HRV), has been found t...
Abstract Mild cognitive impairment (MCI) is a heterogeneous syndrome with two main clinical subtypes...
Mild cognitive impairment (MCI) is set to become a major health problem with the exponential ageing ...
<div><p>Background</p><p>Mild cognitive impairment (MCI) is set to become a major health problem wit...
The heart and brain have bi-directional influences on each other, including autonomic regulation and...
Sleep is divided into two main sleep stages: (1) non-rapid eye movement sleep (non-REMS), characteri...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Functional neuroimaging has provided indications of direct/indirect functional links between the aut...
In this study, we employ a time-varying, probabilistic model of linear and nonlinear heartbeat dynam...
In this study, we employ a time-varying, probabilistic model of linear and nonlinear heartbeat dynam...
In healthy, young individuals, a reduction in cardiovascular output and a shift from sympathetic to ...
In this study, we employ a time-varying, probabilistic model of linear and nonlinear heartbeat dynam...
In this study, we employ a time-varying, probabilistic model of linear and nonlinear heartbeat dynam...
In this study, we employ a time-varying, probabilistic model of linear and nonlinear heartbeat dynam...
In this study, we employ a time-varying, probabilistic model of linear and nonlinear heartbeat dynam...