Abstract

This report describes and briefly characterizes a method for computing quantitative EEG (qEEG) z-scores based on a modification of the typical methods used for qEEG reporting. In particular, it describes using a sample of EEG from a single individual, and creating a reference database from the individual sample, in contrast to usinga population of individuals as the source data. The goal of this method is to quantify and localize within-subject changes that may arise due to time or various factors. We refer to this approach as “z-builder,” because the z-score reference is constructed or “built” on a per-subject basis in the office or laboratory and is not derived from a reference obtained from an outside source. It is confirmed that z-scores for EEG acquired during a test period can be calculated based on a single previously recorded reference sample from an individual, and that the resulting z-scores obey the expected statistical distribution. Reference data can be calculated using samples in the 1- to 5-minute range, and subsequent static or dynamic z-scores for a test sample can then be computed using this reference data in lieu of a population database. It is confirmed that, in the absence of systematic change in the EEG, z-scores generally fall well within the range of ±1.0, providing a sensitive indicator whenchanges do occur. It is shown that this method has value in assessing individual stability of EEG parameters and for quantifying changes that may occur due to time effects, aging, disorders, medications, or interventions.

Highlights

  • Z-builder is a method of producing z-scores based upon a reference that is computed from a single sample of EEG

  • The method operates in the same manner that would be used to estimate z-scores from a population of samples, except that it is based on a single sample of EEG from one individual, typically 1 to 3 minutes in length

  • The resulting norms consist of within-subject means and standard deviations for specified metrics, which are used in place of the typical “normative” samples arising from population-based databases (Collura, 2014)

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Summary

Introduction

If the reference consists of static norms, the z-scores will reflect how the instantaneous EEG compares to the mean value of a population, using the population variation as the standard deviation. The mean values for each individual will themselves follow a Gaussian distribution, which is the mean data that is included in the static statistics Because this approach uses a different mean value (the subject’s own mean value) and a different source of variation (equal to the SD for that individual), resulting z-scores will have a distribution that no longer reflects population statistics; it is solely a representation of that individual’s mean values and variation across time. The following table summarizes the results with these three subjects

10 EC 10 EO 30 EC 30 EO 10 EC 10 EO 30 EC 30 EO 10 EC 10 EO 30 EC
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