Randomization-based hypothesis testing from event-related data.
Methods are described for non-parametric significance testing from event-related encephalographic data, using randomization tests. These methods may be applied in both signal space and source space. The methods include within-subject between-condition comparisons, paired and unpaired comparisons, and within-group and between-group comparisons. Test statistics are also derived for comparing the spatial or temporal response patterns, independent of specific changes at individual locations. Novel methods for testing peak-height significance, and also for making map-wide comparisons, are described. These methods have been validated using simulated data.
Greenblatt
Richard E
RE
Source Signal Imaging, Inc., 2323 Broadway #102, San Diego, CA, 92102, USA.
Pflieger
Mark E
ME
D001931:Brain Mapping; D003627:Data Interpretation, Statistical; D004569:Electroencephalography / Q000379:methods; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D015233:Models, Statistical; D012107:Research Design; D018709:Statistics, Nonparametric