Evaluation of multiple comparison correction procedures in drug assessment studies using LORETA maps

Joan Francesc Alonso, Sergio Romero, Miguel Ángel Mañanas, Mónica Rojas, Jordi Riba, Manel José Barbanoj

    Research output: Contribution to journalArticleResearchpeer-review

    10 Citations (Scopus)


    © 2015, International Federation for Medical and Biological Engineering. The identification of the brain regions involved in the neuropharmacological action is a potential procedure for drug development. These regions are commonly determined by the voxels showing significant statistical differences after comparing placebo-induced effects with drug-elicited effects. LORETA is an electroencephalography (EEG) source imaging technique frequently used to identify brain structures affected by the drug. The aim of the present study was to evaluate different methods for the correction of multiple comparisons in the LORETA maps. These methods which have been commonly used in neuroimaging and also simulated studies have been applied on a real case of pharmaco-EEG study where the effects of increasing benzodiazepine doses on the central nervous system measured by LORETA were investigated. Data consisted of EEG recordings obtained from nine volunteers who received single oral doses of alprazolam 0.25, 0.5, and 1 mg, and placebo in a randomized crossover double-blind design. The identification of active regions was highly dependent on the selected multiple test correction procedure. The combined criteria approach known as cluster mass was useful to reveal that increasing drug doses led to higher intensity and spread of the pharmacologically induced changes in intracerebral current density.
    Original languageEnglish
    Pages (from-to)1011-1023
    JournalMedical and Biological Engineering and Computing
    Issue number10
    Publication statusPublished - 1 Oct 2015


    • Alprazolam
    • Cluster mass
    • EEG tomography
    • LORETA
    • Multiple testing
    • Nonparametric permutation test


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