title: Significance probability mapping: the final touch in t-statistic mapping.
abstract: Significance Probability Mapping (SPM), based on Student's t-statistic, is widely used for comparing mean brain topography maps of two groups. The map resulting from this process represents the distribution of t-values over the entire scalp. However, t-values by themselves cannot reveal whether or not group differences are significant. Significance levels associated with a few t-values are therefore commonly indicated on map legends to give the reader an idea of the significance levels of t-values. Nevertheless, a precise significance level topography cannot be achieved with these few significance values. We introduce a new kind of map which directly displays significance level topography in order to relieve the reader from converting multiple t-values to their corresponding significance probabilities, and to obtain a good quantification and a better localization of regions with significant differences between groups. As an illustration of this type of map, we present a comparison of EEG activity in Alzheimer's patients and age-matched control subjects for both wakefulness and REM sleep.
authors: Centre d'étude du sommeil, Hôpital du Sacré-Coeur, Montréal, Québec, Canada.
authors: F
authors: F
authors: Hassainia
authors: D
authors: D
authors: Petit
authors: J
authors: J
authors: Montplaisir
mesh_terms: D000368:Aged; D000544:Alzheimer Disease / Q000503:physiopathology; D001921:Brain / Q000503:physiopathology*; D001931:Brain Mapping / Q000379:methods*; D004569:Electroencephalography; D006801:Humans; D008875:Middle Aged; D011336:Probability