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(S)-citalopram influences amygdala modulation in healthy subjects: a randomized placebo-controlled double-blind fMRI study using dynamic causal modeling

  • R Sladky
  • , Marie Spies
  • , Andre Hoffmann
  • , G Kranz
  • , Allan Hummer
  • , G Gryglewski
  • , R Lanzenberger
  • , C Windischberger
  • , Siegfried Kasper

    Publications: Contribution to journal › Article › Peer Reviewed

    Abstract

    Citalopram and Escitalopram are gold standard pharmaceutical treatment options for affective, anxiety, and other psychiatric disorders. However, their neurophysiologic function on cortico-limbic circuits is incompletely characterized. Here we studied the neuropharmacological influence of Citalopram and Escitalopram on cortico-limbic regulatory processes by assessing the effective connectivity between orbitofrontal cortex (OFC) and amygdala using dynamic causal modeling (DCM) applied to functional MRI data. We investigated a cohort of 15 healthy subjects in a randomized, crossover, double-blind design after 10. days of Escitalopram (10. mg/d (S)-citalopram), Citalopram (10. mg/d (S)-citalopram and 10. mg/d (R)-citalopram), or placebo. Subjects performed an emotional face discrimination task, while undergoing functional magnetic resonance imaging (fMRI) scanning at 3 Tesla. As hypothesized, the OFC, in the context of the emotional face discrimination task, exhibited a down-regulatory effect on amygdala activation. This modulatory effect was significantly increased by (S)-citalopram, but not (R)-citalopram. For the first time, this study shows that (1) the differential effects of the two enantiomers (S)- and (R)-citalopram on cortico-limbic connections can be demonstrated by modeling effective connectivity methods, and (2) one of their mechanisms can be linked to an increased inhibition of amygdala activation by the orbitofrontal cortex.

    Original languageEnglish
    Pages (from-to)243-250
    Number of pages8
    JournalNeuroImage
    Volume108
    DOIs
    Publication statusPublished - Mar 2015

    Austrian Fields of Science 2012

    • 301401 Brain research
    • 301210 Psychopharmacology

    Keywords

    • Amygdala
    • Citalopram
    • Dynamic causal modeling
    • Escitalopram
    • OFC
    • SSRI

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