Richard Murdoch Montgomery
Universidade de Sao Paulo, Researcher, Brazil
Publications
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Research Article
Towards Precision Psychiatry: An Advanced Machine Learning EEG Model for High‐Accuracy Schizophrenia Diagnosis
Author(s): Richard Murdoch Montgomery*
Schizophrenia lacks clear biological diagnostic markers, but electroencephalography (EEG) has long been studied for distinguishing neural patterns of the disorder. This research reviews EEG? based biomarkers in schizophrenia and modern classification approaches that harness these biomarkers to achieve high diagnostic accuracy (approaching or exceeding 90%). We examine characteristic EEG signal abnormalities—including alterations in frequency band power (e.g., increased delta/theta, reduced alpha, abnormal beta/gamma oscillations), event?related potentials (ERPs), and connectivity patterns—that significantly differentiate patients from healthy individuals. Statistical and machine learning techniques (including support vector machines, random forests, and deep learning models) are discussed for their ability to recognize these patterns. Findings from both open? source .. Read More»