<p><p>To ICA or not to
ICA?&nbsp;</p>

<p>Independent Components Analysis is an EEG assessment tool
that has become a recent point of controversy in the field of neurotherapy,
however it stands as a widely accepted tool in academic
neuroscience.&nbsp;&nbsp;Components in EEG data are spectrally and spatially
independent patterns. Whereas analyses of the past have favored rhythm and
frequency (two dimensional), the spectral rhythm is another lens, and&nbsp;can
been seen in 3D with the use of the spatial dimension, providing for a more
localized understanding of EEG phenomena.&nbsp;&nbsp;</p>

<p>This training will be &nbsp;demonstrating to participants
how to use WinEEG, including importing data, raw wave form recognition, data
cleaning (ICA-R), epoch selection and rejection, spectral analysis, and component
generation. Coherence, asymmetry, and power will be examined as additional
clinical tools useful in assessing the data. We will be demonstrating the
correct and incorrect ways to use the software and the basics of understanding
differences between components vs. frequencies.</p><br></p>