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 ...

Background Currently positron emission tomography (PET) is used as the initial or sole biomarker of β-amyloid (Aβ) brain pathology, which may inhibit Alzheimer’s disease (AD) drug development and clinical use due to cost, access, tolerability. Machine learning (ML)-based EEG biomarkers address these challenges. Previous studies have confirmed their ability accurately discriminate between normal...

One year after a left posterior and thalamic stroke, a 52-year-old male participant was treated with 14 weeks of theta reduction neurofeedback training. Imaging studies revealed left temporal, parietal, occipital, and bilateral thalamic infarctions along the distribution of the posterior cerebral artery. Neuropsychological testing demonstrated severe verbal memory, naming, visual tracking, and ...

Quantitative Electroencephalogram (QEEG) and EEG source localization were used to describe the patho-physiological nature of brain dysfunction in children with Attention Deficit Hyperactivity Disorder (ADHD) or Autism Spectrum Disorder (ASD). QEEG frequency analyses revealed 4 subtypes that differed both in severity of abnormality and relative frequency of occurrence in both disorders but do no...

Purpose: Understanding the neural mechanisms of recovery motor control and development spasticity after stroke is paramount importance for neurorehabilitation.Methods: For this purpose, we have analyzed several TMS EEG variables their association with spasticity. Forty-two subjects taken part in investigation. The neurophysiological examination included assessments by transcranial magnetic stim...

A meta-analysis was performed on quantitative EEG (QEEG) studies that evaluated attention-deficit hyperactivity disorder (ADHD) using the criteria of the DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, 4th edition). The nine eligible studies (N = 1498) observed QEEG traits of a theta power increase and a beta power decrease, summarized in the theta/beta ratio with a pooled effect...

The clinical significance of QEEG LORETA data analysis performed sequentially within 6 months is presented in a case report of a predominantly central type severe disabling subjective idiopathic tinnitus (SIT) before and following treatment. The QEEG LORETA data is reported as Z-scores of z = ± 2.54, p < 0.013. The focus is on demonstration of patterns of brain wave oscillations reflecting mult...