Annie TL Young¹, Slav Danev ² and Jonathan RT Lakey¹*

¹Department of Surgery, University of California Irvine, California, USA
²Medeia Inc, Santa Barbara, CA, USA

*Corresponding Author: Jonathan RT Lakey, Department of Surgery, University of California Irvine, California, USA.

Received: March 11, 2024; Published: May 24, 2024

Abstract

A normative quantitative electroencephalogram (qEEG) database is vital for assessing brain disorders. However, constructing qEEG normative databases for research and clinical applications has posed challenges over the past 61 years, due to defining the ‘normal’ population and lack of standardized procedures for EEG data. This study aims to build a new BrainView qEEG discriminant database that meets strict normative data criteria derived from the field's challenges and milestones, using a method similar to that used to construct a normative database. It follows key procedures: data collection and preprocessing, feature extraction and selection, as well as classification and validation. BrainView comprises data for 28,283 subjects (7,798 healthy subjects) for eyes-open and eyes-closed conditions, spanning ages 4 to 85 years. Developed using patient data, BrainView's discriminant function identifies a patient’s likelihood of belonging to a specific clinical group, aiding in precise diagnosis. The goal is to establish BrainView as a gold standard for diagnosis and prognosis of various brain disorders, enabling standardized use in clinical practice.

 Keywords: Quantitative Electroencephalogram; BrainView; Database, qEEG; Brain Disorders

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Citation

Citation: Jonathan RT Lakey., et al. “Construction and Validation of a New BrainView qEEG Discriminant Database”. Acta Scientific Neurology 7.6 (2024): 25-51.

Copyright

Copyright: © 2024 Jonathan RT Lakey., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.