QEEG and PBM Research

iSyncWave is the product of eight years of research, in association with several hospitals and universities in South Korea.

Scientific Publications


Summaries

  • QEEG, The Tentative Biomarker for Early Screening of Preclinical Alzheimer’s Disease in Subjective Cognitive Decline.

  • Difference of Quantitative EEG between Alzheimer’s Disease and Non-Dementia Alzheimer’ss Disease.

  • Machine-learning Based EEG Biomarker for Early Screening of Amnestic Mild Cognitive Impairment (aMCI).

  • Machine Learning to Predict Brain Amyloid Pathology in Pre-Dementia Alzheimer’s Disease Using QEEG Feature with Genetic Algorithm.

  • Machine Learning-based Amyloid Pathology Screening Model Using QEEG Sensor Level Imaginary Coherence.

  • Differences Between Memory Encoding and Retrieval Failure in Mild Cognitive Impairment MCI.

  • Machine Learning-based Brain Age Prediction Model Employing QEEG Features.

  • QEEG-based Machine Learning Algorithm to Predict Cognitive Impairment After Acute Ischemic Stroke.

  • Machine-learning with QEEG to Predict Prognosis of Coma Patients in One Month.

  • Characteristics of ADHD Subtypes in Children, Classified Using QEEG

  • Machine Learning to Predict Brain Amyloid Pathology in Alzheimer’s Using QEEG

  • Novel QEEG Feature Image Adapted for Deep Learning: Verification through Classification of Alzheimer’s.

  • Pathophysiological Insight into Transient Global Amnesia from QEEG

  • Prediction Model for Potential Depression Using Sex-and-Age-Based QEEG Neuromarkers

  • QEEG Predicts Recovery From Coma Caused by Cardiac Arrest


Photobiomodulation (PBM) and the Brain Tissue

This is only a sample. There are thousands of publications available to demonstrate the effect of Photobiomodulation (PBM) in the brain tissue.

Enhance your practice with QEEG, HRV, PBM and Neurofeedback.