COVID‐19, a WHO‐declared public health emergency of worldwide concern, is quickly
spreading over the world, posing a physical and mental health hazard. The COVID‐19 has …

A Deep Long Short-Term Memory (DeepLSTM) Deep Learning model for the classification
of personality traits using Electroencephalogram (EEG) signals is developed in this study …

OBJECTIVE: Visual interpretation of EEG is time-consuming and not always consistent
between reviewers. Our objective is to improve this by introducing guidelines and algorithms …

Previous EEG studies attempted to examine violent behavior as homogeneous construct. Up
to date, there is no other research studying Low-Resolution Brain Electromagnetic …

Die Neuauflage des Bandes liefert eine aktuelle Einführung in die biologischen Grundlagen
wichtiger psychischer Störungen, z. B. Demenzen, Schizophrenie, affektive Störungen …

Objectives. There is growing evidence for the use of biofeedback (BF) in affective disorders,
dissocial personality disorder, and in children with histories of abuse. Electroencephalogram …

Antisocial personality disorder (ASPD) is characterised by a disregard for social obligations
and callous unconcern for the feelings of others. Studies have demonstrated that ASPD is …

Background Electrophysiological variables may represent sensitive biomarkers of
vulnerability to or endophenotypes for alcohol use disorders (AUD). Methods Young adults …

Answers to many legal questions often depend on our understanding of the relationship
between the human brain and behavior. While there is no evidence to suggest that violence …

Measurement reliability is an important aspect of establishing the utility of scores used in
clinical practice. Although much is known about the reliability of quantitative …