Results 71 to 80 of about 162,786 (309)

Heart Rate and Heart Rate Variability Change with Sleep Stage in Dairy Cows

open access: yesAnimals, 2021
Changes to the amount and patterns of sleep stages could be a useful tool to assess the effects of stress or changes to the environment in animal welfare research.
Laura B. Hunter   +5 more
doaj   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito   +14 more
wiley   +1 more source

Sleep in the Quran and Health Sciences

open access: yesHealth, Spirituality and Medical Ethics, 2014
Background and Objectives: Sleep is a sign of the greatness of God. In this article sleep is described from Quran and modern health sciences. Methods: This is a qualitative systematic review. Data were gathered from the Quran, related Islamic narratives
Mohammad Reza Heidari   +2 more
doaj  

Reproducibility of Heart Rate Variability Is Parameter and Sleep Stage Dependent

open access: yesFrontiers in Physiology, 2018
Objective: Measurements of heart rate variability (HRV) during sleep have become increasingly popular as sleep could provide an optimal state for HRV assessments.
David Herzig   +6 more
doaj   +1 more source

Sleep Stage Determines the ExpressionPattern of Sleep Apneas

open access: yesInternal Medicine, 2007
We report on an obese man with sleep stage-dependent apnea. His type of apnea was predominantly central during non-rapid eye movement (NREM) sleep, while it was obstructive during rapid eye movement (REM) sleep. We found significantly more and more severe apneas during REM sleep compared to NREM sleep.
Morishima, Yuko   +6 more
openaire   +3 more sources

Five‐Year Disease Progression in Synuclein Seeding Positive Sporadic Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To provide a comprehensive description of disease progression in synuclein seeding assay (SAA) positive sporadic Parkinson Disease participants, using Neuronal Synuclein Disease integrated biological and functional impairment staging framework.
Paulina Gonzalez‐Latapi   +19 more
wiley   +1 more source

REM Sleep Behaviour Disorder, a narrative review from a technological perspective. [PDF]

open access: yes, 2023
STUDY OBJECTIVES Isolated REM sleep behaviour disorder (iRBD) is a parasomnia characterized by dream enactment. It represents a prodromal state of alpha-synucleinopathies, like Parkinson's disease.
Bassetti, C   +4 more
core   +1 more source

Automated scoring of pre-REM sleep in mice with deep learning

open access: yesScientific Reports, 2021
Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate the analysis of long-term sleep studies. In recent years, deep-learning-based systems, which learn optimal features from the data, increased scoring accuracies ...
Niklas Grieger   +4 more
doaj   +1 more source

Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett   +8 more
wiley   +1 more source

A multiplex visibility graph motif‐based convolutional neural network for characterizing sleep stages using EEG signals

open access: yesBrain Science Advances, 2020
Sleep is an essential integrant in everyone’s daily life; therefore, it is an important but challenging problem to characterize sleep stages from electroencephalogram (EEG) signals.
Qing Cai, Jianpeng An, Zhongke Gao
doaj   +1 more source

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