Covering the latest cutting-edge techniques in biomedical signal processing while
presenting a coherent treatment of various signal processing methods and applications, this …

Identifying biomarkers of developing mental disorder is crucial to improving early
identification and treatment—a key strategy for reducing the burden of mental disorders …

Attention-deficit/hyperactivity disorder (ADHD) leads to functional decline in academic
performance, interpersonal relationships, and development in school-aged children. Early …

Introduction: Visual sleep-stage scoring is a time-consuming technique that cannot extract
the nonlinear characteristics of electroencephalogram (EEG). This article presents a novel …

The objective of this work was to study the impact of repetitive Transcranial Magnetic
Stimulation (rTMS) on the EEG connectivity evaluated by indices based on graph theory …

The paper concerns the development of methods of EEG functional connectivity estimation
including short overview of the currently applied measures describing their advantages and …

Objective: The aim of the current study was to investigate the alterations in the neural
networks of patients with temporal lobe epilepsy (TLE) during working memory (WM) …

Connected consciousness refers to the state when external stimuli can enter into the stream
of our consciousness experience. Emerging evidence suggests that although patients may …

Neural activity emerges and propagates swiftly between brain areas. Investigation of these
transient large-scale flows requires sophisticated statistical models. We present a method for …

Impaired motor vigor is a defining characteristic of Parkinson's disease (PD), yet the
underlying brain mechanisms governing motor vigor (MV) remain unclear. Recent studies …