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
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QEEG, The Tentative Biomarker for Early Screening of Preclinical Alzheimer’s Disease in Subjective Cognitive Decline.
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Difference of Quantitative EEG between Alzheimer’s Disease and Non-Dementia Alzheimer’ss Disease.
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Machine-learning Based EEG Biomarker for Early Screening of Amnestic Mild Cognitive Impairment (aMCI).
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Machine Learning to Predict Brain Amyloid Pathology in Pre-Dementia Alzheimer’s Disease Using QEEG Feature with Genetic Algorithm.
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Machine Learning-based Amyloid Pathology Screening Model Using QEEG Sensor Level Imaginary Coherence.
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Differences Between Memory Encoding and Retrieval Failure in Mild Cognitive Impairment MCI.
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Machine Learning-based Brain Age Prediction Model Employing QEEG Features.
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QEEG-based Machine Learning Algorithm to Predict Cognitive Impairment After Acute Ischemic Stroke.
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Machine-learning with QEEG to Predict Prognosis of Coma Patients in One Month.
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Characteristics of ADHD Subtypes in Children, Classified Using QEEG
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Machine Learning to Predict Brain Amyloid Pathology in Alzheimer’s Using QEEG
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Novel QEEG Feature Image Adapted for Deep Learning: Verification through Classification of Alzheimer’s.
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Pathophysiological Insight into Transient Global Amnesia from QEEG
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Prediction Model for Potential Depression Using Sex-and-Age-Based QEEG Neuromarkers
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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.