Search results for "Neuron"
showing 10 items of 2611 documents
Serotonergic transcriptional regulatory logic in Caenorhabditis elegans
2017
Tesis doctoral, 298 páginas, figuras y tablas
Excessive Daytime Sleepiness in Obstructive Sleep Apnea Patients Treated With Continuous Positive Airway Pressure: Data From the European Sleep Apnea…
2021
Excessive daytime sleepiness (EDS) is a symptom of obstructive sleep apnea (OSA) that resolves under treatment with continuous positive airway pressure (CPAP). In some patients, sleepiness persists despite CPAP treatment. We retrospectively analyzed data on subjective residual EDS, assessed as an Epworth Sleepiness Scale score (ESS) >10, in patients from the European Sleep Apnea Database (n = 4,853, mean age +/- SD 54.8 +/- 11.8 years, 26.1% females), at baseline and at the first visit (median follow-up: 5 months, interquartile range 3-13). An ESS > 10 occurred in 56% of patients at baseline and in 28.2% of patients at follow-up. Residual EDS was analyzed in 2,190 patients (age: 55.1 +/- 12…
Measuring the Task Induced Oscillatory Brain Activity Using Tensor Decomposition
2019
The characterization of dynamic electrophysiological brain activity, which form and dissolve in order to support ongoing cognitive function, is one of the most important goals in neuroscience. Here, we introduce a method with tensor decomposition for measuring the task-induced oscillations in the human brain using electroencephalography (EEG). The time frequency representation of source-reconstructed singletrail EEG data constructed a third-order tensor with three factors of time ∗ trails, frequency and source points. We then used a non-negative Canonical Polyadic decomposition (NCPD) to identify the temporal, spectral and spatial changes in electrophysiological brain activity. We validate …
Inferring directionality of coupled dynamical systems using Gaussian process priors: Application on neurovascular systems
2022
Dynamical system theory has recently shown promise for uncovering causality and directionality in complex systems, particularly using the method of convergent cross mapping (CCM). In spite of its success in the literature, the presence of process noise raises concern about CCM's ability to uncover coupling direction. Furthermore, CCM's capacity to detect indirect causal links may be challenged in simulated unidrectionally coupled Rossler-Lorenz systems. To overcome these limitations, we propose a method that places a Gaussian process prior on a cross mapping function (named GP-CCM) to impose constraints on local state space neighborhood comparisons. Bayesian posterior likelihood and…
The negative impact of covid-related stress on eating behaviors and effective, practical interventions
2021
Relaxing effects of music and odors on physiological recovery after highly demanding executive tasks
2021
International audience
Biopsychosocial approach to caregiving burden: Why should we care about caregivers’ health?
2018
There are 11 million family caregivers in France and some estimates indicate that there will be 17 million in 2020.Caregiving is a source of chronic stress that requires adaptation and coping strategies.Caregiving may benefit the health of a caregiver with a positive coping style and altruistic goals.However, the caregiver's burden is frequently associated with negative effects in terms of biopsychosocial imbalance and medical conditions, with frequent anxiety and depression.The management of the caregiving burden starts with the recognition of health professionals – caregivers may benefit from consultation-liaison psychiatry and multidisciplinary medico-social strategies, in addition to co…
Deriving electrophysiological brain network connectivity via tensor component analysis during freely listening to music
2020
Recent studies show that the dynamics of electrophysiological functional connectivity is attracting more and more interest since it is considered as a better representation of functional brain networks than static network analysis. It is believed that the dynamic electrophysiological brain networks with specific frequency modes, transiently form and dissolve to support ongoing cognitive function during continuous task performance. Here, we propose a novel method based on tensor component analysis (TCA), to characterize the spatial, temporal, and spectral signatures of dynamic electrophysiological brain networks in electroencephalography (EEG) data recorded during free music-listening. A thr…