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SKIL 3.0 Analysis & Database
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SKIL Topometric software provides comprehensive client evaluation for use in the development of neurofeedback
training strategies. Features include automatic artifact detection, time-of-day correction, spectral and comodulation analysis,
state comparisons, and custom client report generation. Client data can be compared to an adult (n=250) and child (n=60) database
of two baseline and two challenge conditions.
Features of 3.0 include 7 database montages including multiple Laplacians, advanced artifact management, extensive network & local properties analyses, complexity, trend, and spectral periodicity, Hjorth parameters. Spectral parameters include Magnitude, Relative Magnitude, Variability, Comodulation, Coherence, Unity (similar to Asymmetry), and Phase.
Adult Database Description: The adult database was derived from laboratory studies of 135 human subjects
ranging in age from 18 to 55 years. Approximately 80% were males and 20% females. This population consisted of students and
laboratory personnel (50%), recruited volunteers from the community (25%), and U.S. Air Force personnel, including pilots,
ground crew, and administrative staff (25%). All subjects completed a handedness inventory (Oldfield, 1971) and a comprehensive
questionnaire designed to provide a screen for medical history, drug use, and recent life events. All subjects reviewed and
signed an approved institutional information and consent form. Air Force personnel were also intensively pre-screened as a
condition of their service, and were subject to regular medical examinations and an unusually high level of drug-use scrutiny.
SKIL software was developed and written by Sterman-Kaiser Imaging Laboratories
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The SKIL Comodulation analysis has two basic formats. The first measures the cross-correlation within
a given frequency band between recording sites in a single client. This is not a statistical analysis but, instead, a within
subject analysis. It is referenced to a correlation coefficient scale from -1 to +1. In this display, a given recording location
should correlate +1 with itself, and define a local region of comodulation among adjacent sites. Comodulation is measured
here not in terms of waveform shape and phase relationships, as in coherence analysis, but as the sequential comodulation
between sites defined by up-dated spectral estimates in a particular frequency band over time.
The second analysis provides for a statistical comparison of comodulation between the client and the database. It is a statistical analysis, and is scaled with reference to standard deviations for database means at a given frequency band in a given state. A 2.0 standard deviation value, plus or minus, indicates a 95% probability of significant increase or decrease in comparison to the database.
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Nova Tech EEG, Inc * Mesa, Arizona * USA *
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