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Default mode network deactivation during emotion processing predicts early antidepressant response.
Spies, M; Kraus, C; Geissberger, N; Auer, B; Klöbl, M; Tik, M; Stürkat, I-L; Hahn, A; Woletz, M; Pfabigan, D M; Kasper, S; Lamm, C; Windischberger, C; Lanzenberger, R.
Affiliation
  • Spies M; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
  • Kraus C; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
  • Geissberger N; MR Center of Excellence, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
  • Auer B; Social, Cognitive and Affective Neuroscience Unit, Department of Basic Psychological Research and Research Methods, Faculty of Psychology, University of Vienna, Vienna, Austria.
  • Klöbl M; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
  • Tik M; MR Center of Excellence, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
  • Stürkat IL; Social, Cognitive and Affective Neuroscience Unit, Department of Basic Psychological Research and Research Methods, Faculty of Psychology, University of Vienna, Vienna, Austria.
  • Hahn A; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
  • Woletz M; MR Center of Excellence, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
  • Pfabigan DM; Social, Cognitive and Affective Neuroscience Unit, Department of Basic Psychological Research and Research Methods, Faculty of Psychology, University of Vienna, Vienna, Austria.
  • Kasper S; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
  • Lamm C; Social, Cognitive and Affective Neuroscience Unit, Department of Basic Psychological Research and Research Methods, Faculty of Psychology, University of Vienna, Vienna, Austria.
  • Windischberger C; MR Center of Excellence, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
  • Lanzenberger R; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
Transl Psychiatry ; 7(1): e1008, 2017 01 24.
Article in En | MEDLINE | ID: mdl-28117844
Several previous functional magnetic resonance imaging (fMRI) studies have demonstrated the predictive value of brain activity during emotion processing for antidepressant response, with a focus on clinical outcome after 6-8 weeks. However, longitudinal studies emphasize the paramount importance of early symptom improvement for the course of disease in major depressive disorder (MDD). We therefore aimed to assess whether neural activity during the emotion discrimination task (EDT) predicts early antidepressant effects, and how these predictive measures relate to more sustained response. Twenty-three MDD patients were investigated once with ultrahigh-field 7T fMRI and the EDT. Following fMRI, patients received Escitalopram in a flexible dose schema and were assessed with the Hamilton Depression Rating Scale (HAMD) before, and after 2 and 4 weeks of treatment. Deactivation of the precuneus and posterior cingulate cortex (PCC) during the EDT predicted change in HAMD scores after 2 weeks of treatment. Baseline EDT activity was not predictive of HAMD change after 4 weeks of treatment. The precuneus and PCC are integral components of the default mode network (DMN). We show that patients who exhibit stronger DMN suppression during emotion processing are more likely to show antidepressant response after 2 weeks. This is, to our knowledge, the first study to show that DMN activity predicts early antidepressant effects. However, DMN deactivation did not predict response at 4 weeks, suggesting that our finding is representative of early, likely treatment-related, yet unspecific symptom improvement. Regardless, early effects may be harnessed for optimization of treatment regimens and patient care.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Citalopram / Depressive Disorder, Major / Antidepressive Agents Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Female / Humans / Male / Middle aged Language: En Journal: Transl Psychiatry Year: 2017 Document type: Article Affiliation country: Austria Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Citalopram / Depressive Disorder, Major / Antidepressive Agents Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Female / Humans / Male / Middle aged Language: En Journal: Transl Psychiatry Year: 2017 Document type: Article Affiliation country: Austria Country of publication: United States