Random field-union intersection tests for EEG/MEG imaging

F Carbonell, L Galan, P Valdes, K Worsley, R J Biscay, L Diaz-Comas, M A Bobes, M Parra

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)


Electrophysiological (EEG/MEG) imaging challenges statistics by providing two views of the same spatiotemporal data: topographic and tomographic. Until now, statistical tests for these two situations have developed separately. This work introduces statistical tests for assessing simultaneously the significance of spatiotemporal event-related potential/event-related field (ERP/ERF) components and that of their sources. The test for detecting a component at a given time instant is provided by a Hotelling's T-2 statistic. This statistic is constructed in such a manner to be invariant to any choice of reference and is based upon a generalized version of the average reference transform of the data. As a consequence, the proposed test is a generalization of the well-known Global Field Power statistic. Consideration of tests at all time instants leads to a multiple comparison problem addressed by the use of Random Field Theory (RFT). The Union-Intersection (UI) principle is the basis for testing hypotheses about the topographic and tomographic distributions of such ERP/ERF components. The performance of the method is illustrated with actual EEG recordings obtained from a visual experiment of pattern reversal stimuli. (C) 2004 Elsevier Inc. All rights reserved.
Original languageEnglish
Pages (from-to)268-276
Number of pages9
Issue number1
Publication statusPublished - May 2004


  • event-related potentials
  • random fields
  • union Intersection test
  • Hotelling's T2
  • global field power
  • average reference
  • EEG/MEG source analysis


Dive into the research topics of 'Random field-union intersection tests for EEG/MEG imaging'. Together they form a unique fingerprint.

Cite this