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Quantitative Electroencephalogram Standardization: A Sex- and Age-Differentiated Normative Database.

Juhee Ko1, Ukeob Park1, Daekeun Kim1

  • 1iMediSync Inc., Seoul, South Korea.

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Summary

A new standardized Z-score index for quantitative EEG (qEEG) analysis, referenced against a sex- and age-differentiated database (ISB-NormDB), improves accuracy by minimizing confounding variables like sex and age.

Keywords:
QEEGagebrain diseasedatabasenormativesexstandardization

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Quantitative Electroencephalography (qEEG)

Background:

  • Quantitative EEG (qEEG) analysis relies on normative databases for accurate interpretation.
  • Existing databases may not adequately account for variations in sex and age, potentially confounding results.
  • A standardized index is needed to improve the reliability of qEEG interpretations.

Purpose of the Study:

  • To introduce and validate a standardized Z-score index for qEEG analysis.
  • To present the development and characteristics of a comprehensive, sex- and age-differentiated normative database (ISB-NormDB).
  • To demonstrate the utility of the Z-score index in minimizing sex and age as confounding variables.

Main Methods:

  • Development of the ISB-NormDB using data from 1,289 subjects (553 males, 736 females) aged 4.5 to 81 years, adhering to strict normative criteria.
  • Application of a de-noising process to stratify data based on qEEG variability between healthy males and females across age ranges.
  • Comparison of Z-scores derived from the ISB-NormDB with those from a traditional qEEG database using actual data to assess trends and accuracy.

Main Results:

  • The ISB-NormDB provides a unique, highly accurate model stratified by sex (ISB-NormDB-Male, ISB-NormDB-Female).
  • Validation confirmed that the Z-scores derived from ISB-NormDB maintain basic trends across most frequency bands compared to traditional databases.
  • The standardized Z-score index demonstrated sensitivity to abnormal test data and effectively minimized the confounding effects of sex and age.

Conclusions:

  • The standardized Z-score index, utilizing the ISB-NormDB, offers a robust tool for quantitative EEG analysis.
  • This approach enhances the accuracy and reliability of qEEG interpretations by controlling for sex and age variations.
  • The ISB-NormDB represents a significant advancement in creating more precise and clinically applicable qEEG normative data.