Brain Topography

, Volume 7, Issue 1, pp 3–8

Significance probability mapping: The final touch int-statistic mapping

  • Farid Hassainia
  • Dominique Petit
  • Jacques Montplaisir
Article

Summary

Significance Probability Mapping (SPM), based on Student'st-statistic, is widely used for comparing mean brain topography maps of two groups. The map resulting from this process represents the distribution oft-values over the entire scalp. However,t-values by themselves cannot reveal whether or not group differences are significant. Significance levels associated with a fewt-values are therefore commonly indicated on map legends to give the reader an idea of the significance levels oft-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 multiplet-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.

Key words

EEG Brain mapping Student'st-statistic Significance probability mapping Alzheimer's disease 

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Copyright information

© Human Sciences Press, Inc. 1994

Authors and Affiliations

  • Farid Hassainia
    • 2
    • 1
  • Dominique Petit
    • 2
    • 1
  • Jacques Montplaisir
    • 2
    • 1
  1. 1.Centre d'étude du sommeil, Hôpital du Sacré-Coeur and Dept. PsychiatrieUniversité de MontréalCanada
  2. 2.Centre d'étude du sommeilHôpital du Sacré-CoeurMontréalCanada

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