Background Despite significant advances in the understanding and treatment of obsessive
compulsive disorder (OCD), current treatment options are limited in terms of efficacy for …

Objective: In recent years, researchers and neuroscientists have begun to use a variety of
nonlinear techniques for analyzing neurophysiologic signals derived from fMRI, MEG, and …

In recent years, automatic emotion recognition renders human–computer interaction
systems intelligent and friendly. Emotion recognition based on electroencephalogram (EEG) …

We study how obsessive-compulsive disorder (OCD) affects the complexity and time-
reversal symmetry-breaking (irreversibility) of the brain resting-state activity as measured by …

Analyzing EEG complexity may help to elucidate complex brain dynamics in individuals with
psychiatric disorders and provide insight into neural connectivity and its relationship with …

Generalized Anxiety Disorder (GAD) is a prevalent mental disorder on the rise in modern
society. It is crucial to achieve precise diagnosis of GAD for improving the treatments and …

Electroencephalography (EEG) measures the brain's electrical activity with high temporal
resolution. In comparison to neuroimaging modalities such as MRI or PET, EEG is relatively …

Introduction Mental disorders are a significant concern in contemporary society, with a
pressing need to identify biological markers. Long-range temporal correlations (LRTC) of …

This study aimed to investigate the effectiveness of a quantitative electroencephalography
(qEEG) biomarker in predicting the response to pharmacological treatment in patients with …

Objective: Obsessive-compulsive disorder (OCD) is a highly common psychiatric disorder.
The symptoms of this condition overlap and co-occur with those of other psychiatric …