Literature DB >> 25536499

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

Ronald Sladky1, Marie Spies2, Andre Hoffmann1, Georg Kranz2, Allan Hummer1, Gregor Gryglewski2, Rupert Lanzenberger2, Christian Windischberger1, Siegfried Kasper3.   

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 10days of Escitalopram (10mg/d (S)-citalopram), Citalopram (10mg/d (S)-citalopram and 10mg/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.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Amygdala; Citalopram; Dynamic causal modeling; Escitalopram; OFC; SSRI

Mesh:

Substances:

Year:  2014        PMID: 25536499     DOI: 10.1016/j.neuroimage.2014.12.044

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  12 in total

1.  Ketamine administration reduces amygdalo-hippocampal reactivity to emotional stimulation.

Authors:  Milan Scheidegger; Anke Henning; Martin Walter; Mick Lehmann; Rainer Kraehenmann; Heinz Boeker; Erich Seifritz; Simone Grimm
Journal:  Hum Brain Mapp       Date:  2016-02-25       Impact factor: 5.038

2.  Changes in functional connectivity with cognitive behavioral therapy for social anxiety disorder predict outcomes at follow-up.

Authors:  Christina F Sandman; Katherine S Young; Lisa J Burklund; Darby E Saxbe; Matthew D Lieberman; Michelle G Craske
Journal:  Behav Res Ther       Date:  2020-03-29

3.  Neural connectivity during affect labeling predicts treatment response to psychological therapies for social anxiety disorder.

Authors:  Katherine S Young; Richard T LeBeau; Andrea N Niles; Kean J Hsu; Lisa J Burklund; Bita Mesri; Darby Saxbe; Matthew D Lieberman; Michelle G Craske
Journal:  J Affect Disord       Date:  2018-08-18       Impact factor: 4.839

4.  Treatment for social anxiety disorder alters functional connectivity in emotion regulation neural circuitry.

Authors:  Katherine S Young; Lisa J Burklund; Jared B Torre; Darby Saxbe; Matthew D Lieberman; Michelle G Craske
Journal:  Psychiatry Res Neuroimaging       Date:  2017-01-16       Impact factor: 2.376

5.  Neuroimaging correlates and predictors of response to repeated-dose intravenous ketamine in PTSD: preliminary evidence.

Authors:  Agnes Norbury; Sarah B Rutter; Abigail B Collins; Sara Costi; Manish K Jha; Sarah R Horn; Marin Kautz; Morgan Corniquel; Katherine A Collins; Andrew M Glasgow; Jess Brallier; Lisa M Shin; Dennis S Charney; James W Murrough; Adriana Feder
Journal:  Neuropsychopharmacology       Date:  2021-07-31       Impact factor: 7.853

6.  The mixed serotonin receptor agonist psilocybin reduces threat-induced modulation of amygdala connectivity.

Authors:  Rainer Kraehenmann; André Schmidt; Karl Friston; Katrin H Preller; Erich Seifritz; Franz X Vollenweider
Journal:  Neuroimage Clin       Date:  2015-08-22       Impact factor: 4.881

7.  Default mode network deactivation during emotion processing predicts early antidepressant response.

Authors:  M Spies; C Kraus; N Geissberger; B Auer; M Klöbl; M Tik; I-L Stürkat; A Hahn; M Woletz; D M Pfabigan; S Kasper; C Lamm; C Windischberger; R Lanzenberger
Journal:  Transl Psychiatry       Date:  2017-01-24       Impact factor: 6.222

8.  Effective amygdala-prefrontal connectivity predicts individual differences in successful emotion regulation.

Authors:  Carmen Morawetz; Stefan Bode; Juergen Baudewig; Hauke R Heekeren
Journal:  Soc Cogn Affect Neurosci       Date:  2017-04-01       Impact factor: 3.436

9.  Group cognitive behavioral therapy modulates the resting-state functional connectivity of amygdala-related network in patients with generalized social anxiety disorder.

Authors:  Minlan Yuan; Hongru Zhu; Changjian Qiu; Yajing Meng; Yan Zhang; Jing Shang; Xiaojing Nie; Zhengjia Ren; Qiyong Gong; Wei Zhang; Su Lui
Journal:  BMC Psychiatry       Date:  2016-06-13       Impact factor: 3.630

10.  Structural changes in amygdala nuclei, hippocampal subfields and cortical thickness following electroconvulsive therapy in treatment-resistant depression: longitudinal analysis.

Authors:  Gregor Gryglewski; Pia Baldinger-Melich; René Seiger; Godber Mathis Godbersen; Paul Michenthaler; Manfred Klöbl; Benjamin Spurny; Alexander Kautzky; Thomas Vanicek; Siegfried Kasper; Richard Frey; Rupert Lanzenberger
Journal:  Br J Psychiatry       Date:  2018-11-16       Impact factor: 9.319

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.