We study short-term and long-term persistence properties (related with auto-correlations) of amplitudes and frequencies of EEG oscillations in 176 healthy subjects and 40 patients during nocturnal sleep. The amplitudes show scaling from 2 to 500 seconds (depending on the considered band) with large fluctuation exponents during (nocturnal) wakefulness (0.73–0.83) and small ones during deep sleep (0.50–0.69). Light sleep is similar to deep sleep, while REM sleep (0.64–0.76) is closer to wakefulness except for the EEG γ band. Some of the frequency time series also show long-term scaling, depending on the selected bands and stages. Only minor deviations are seen for patients with depression, anxiety, or Parkinson's disease
A number of phasic events influence sleep quality and sleep macrostructure. The detection of arousal...
Our brain processes the different timescales of our environment's temporal input stochastics. Is suc...
We investigate the dynamical properties of electroencephalogram (EEG) signals of human in sleep. By ...
Abstract — Scaling behavior is an indicator of the lack of characteristic time scale, and the exist...
The complaints of people suffering from Insomnia Disorder (ID) concern both sleep and daytime functi...
The human brain spontaneously generates neural oscillations with a large variability in frequency, a...
OBJECTIVE: To study the dynamics of spatial synchronization of the slow-wave activity recorded from ...
Abstract Sleep is crucial for daytime functioning, cognitive performance and general well-being. The...
We study the effective scaling behavior of high-resolution accelerometric time series recorded at th...
Objective: The aim of the present study was to evaluate test–retest reliability and condition sensit...
Objective: To study the dynamics of spatial synchronization of the slow-wave activity recorded from ...
Objective: The relevance of the dimensional complexity (DC) for the analysis of sleep EEG data is in...
OBJECTIVE: The aim of the present study is to investigate the scaling properties of the sleep electr...
Power spectra of sleep electroencephalograms (EEG) comprise two main components: a decaying power-la...
Presence of long-range temporal correlations in neuronal oscillations is thought to be beneficial fo...
A number of phasic events influence sleep quality and sleep macrostructure. The detection of arousal...
Our brain processes the different timescales of our environment's temporal input stochastics. Is suc...
We investigate the dynamical properties of electroencephalogram (EEG) signals of human in sleep. By ...
Abstract — Scaling behavior is an indicator of the lack of characteristic time scale, and the exist...
The complaints of people suffering from Insomnia Disorder (ID) concern both sleep and daytime functi...
The human brain spontaneously generates neural oscillations with a large variability in frequency, a...
OBJECTIVE: To study the dynamics of spatial synchronization of the slow-wave activity recorded from ...
Abstract Sleep is crucial for daytime functioning, cognitive performance and general well-being. The...
We study the effective scaling behavior of high-resolution accelerometric time series recorded at th...
Objective: The aim of the present study was to evaluate test–retest reliability and condition sensit...
Objective: To study the dynamics of spatial synchronization of the slow-wave activity recorded from ...
Objective: The relevance of the dimensional complexity (DC) for the analysis of sleep EEG data is in...
OBJECTIVE: The aim of the present study is to investigate the scaling properties of the sleep electr...
Power spectra of sleep electroencephalograms (EEG) comprise two main components: a decaying power-la...
Presence of long-range temporal correlations in neuronal oscillations is thought to be beneficial fo...
A number of phasic events influence sleep quality and sleep macrostructure. The detection of arousal...
Our brain processes the different timescales of our environment's temporal input stochastics. Is suc...
We investigate the dynamical properties of electroencephalogram (EEG) signals of human in sleep. By ...