[Eeglablist] Release of Mass Univariate ERP Toolbox

David Groppe dgroppe at cogsci.ucsd.edu
Mon Dec 6 10:12:56 PST 2010

Dear Colleagues,

We are pleased to announce the release of the Mass Univariate ERP
Toolbox, a freely available set of MATLAB functions for performing
mass univariate analyses of event-related brain potentials. A mass
univariate analysis is the analysis of a massive number of
simultaneously measured dependent variables via the performance of
univariate hypothesis tests (e.g., t-tests).  Savvy corrections for
multiple comparisons are applied to make spurious findings unlikely
while still retaining a useful degree of statistical power. This
approach is popular in the neuroimaging community but has not been
commonly used by ERP researchers.

The advantages of mass univariate analyses include:
  -They reduce the need for a priori defined time windows/regions of interest
  -They can reveal unexpected effects even when a priori time
windows/regions of interest are available
  -They take full advantage of the spatial and temporal resolution of
EEG and are good for providing lower bounds on the temporal onsets of
effects (e.g., the earliest time point at which some variable or
manipulation affects stimulus processing)

The disadvantages of mass univariate analyses include:
  -Some loss of statistical power due to correction for multiple
comparisons (though much less power loss than Bonferroni correction)
  -Some popular corrections for multiple comparisons are not
guaranteed to work and may not provide the degree of certainty
provided by selective analyses of a priori time windows/regions of

The current version of the toolbox features:
   1) Within and between-subject t-tests with false discovery rate
controls and control of the family-wise error
rate via permutation tests.
   2) Compatibility with EEGLAB and ERPLAB data structures
   3) Several novel methods for interactive data visualization that
should facilitate exploring your data and communicating your results
(see the attached images).

This toolbox was produced by members of Prof. Marta Kutas’s lab of the
Department of Cognitive Science at the University of California, San
Diego.  Instructions for downloading the toolbox, a tutorial, and
supportive information are all available here:

Please contact me with any questions and we hope the software can be
of use to you,
      -David Groppe

David Groppe, Ph.D.
dgroppe at cogsci.ucsd.edu
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