The electroencephalogram (EEG) is well-suited for continuous brain monitoring in neurological patients in the ICU, since the EEG is very sensitive for potential risks like ischemia and (non-convulsive) seizures [1]. However, to allow real-time computer assisted interpretation of the EEG, quantitative EEG (qEEG) and an adequate presentation of the data are required. This paper describes the impl...

objective: to evaluate the brain signals in children with autism disorder in many different conditions of quantitative electroencephalography (qeeg) recordings in order to highlight abnormalities and to characterize this group. method: in this study, spectrogram was used as a tool for evaluating qeeg in 15 children with autism disorders (13 boys and 2 girls aged between 6 to 11 years old) and i...

Introduction: Generalized Anxiety Disorder (GAD) is one of the most common anxiety disorders that has significant adverse effects on social functioning, occupational/academic performance, and daily living. This study aimed to evaluate the effect of Quantitative Electroencephalography (QEEG)-based Neurofeedback (NFB) therapy on anxiety, depression, and emotion regulation of people with GAD. Met...

Electroencephalography (EEG) is a noninvasive, widely available, and relatively inexpensive test that can help exclude or identify structural or functional factors contributing to psychiatric syndromes. This article defines the clinical usefulness of EEG in evaluating neuropsychiatric disorders, emphasizing the complementary nature of the visually inspected standard EEG (SEEG) and the computera...

Abstract Background Cognitive decline is a common presentation of Parkinson’s disease (PD) and continued search exists for reliable biomarker early identification management this clinical problem. The objective study to select the most useful in assessment PD-related cognitive decline. This cross-sectional included 47 patients with PD matched healthy controls. All participants were assessed by ...

Abstract Background The memory impairments in mild cognitive impairment (MCI) can be classified into encoding (EF) and retrieval (RF) failure, which affected by underlying pathomechanism. We explored the differences structurally functionally. Methods compared quantitative electroencephalography (qEEG) power spectra connectivity between 87 MCI patients with EF 78 RF using iSyncBrain® (iMediSync ...

A. Digital EEG is an established substitute for recording, reviewing, and storing a paper EEG record. It is a clear technical advance over previous paper methods. It is highly recommended. (Class III evidence, Type C recommendation). B. EEG brain mapping and other advanced QEEG techniques should be used only by physicians highly skilled in clinical EEG, and only as an adjunct to and in conjunct...

Background: Identifying mental disorder biomarkers is one of the leading goals of the clinical science. Objectives: This study aimed to provide an artificial intelligence based solution and software program to diagnose the type and severity of mental disorders according to the quantitative electroencephalogram (QEEG) of patients. Materials and Methods: The QEEG data collected from 45 patients ...