Background and objective For more than 20 years, Higuchi's fractal dimension (HFD), as a
nonlinear method, has occupied an important place in the analysis of biological signals. The …

This paper presents a signal modeling-based new methodology of automatic seizure
detection in EEG signals. The proposed method consists of three stages. First, a multirate …

Time-of-day modulations affect both performance on a wide range of cognitive tasks and
electrical activity of the brain, as recorded by electroencephalography (EEG). The aim of this …

Current trend in neurosciences is to use naturalistic stimuli, such as cinema, class-room
biology or video gaming, aiming to understand the brain functions during ecologically valid …

To investigate nonlinear analysis of attention physiological indices this study used a simple
repetitive attentive task in four consecutive trials that resulted in mental fatigue. Traditional …

Purpose To observe age-and sex-related differences in the complexity of the global and
hemispheric white matter (WM) throughout adulthood by means of fractal dimension (FD) …

Fractal nature of the human sleep EEG was revealed recently. In the literature there are
some attempts to relate fractal features to spectral properties. However, a comprehensive …

Cognitive reappraisal is associated with major depressive disorder (MDD), while
spontaneous activity patterns of the default mode network (DMN) is implicated in reappraisal …

Long-range memory in time series is often quantified by the Hurst exponent H, a measure of
the signal's variance across several time scales. We analyze neurophysiological time series …

Phases of alpha oscillations recorded by EEG were typically studied in the context of event
or task related experiments, rarely during spontaneous alpha activity and in different brain …