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The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI

Functional magnetic resonance imaging (fMRI) successfully disentangled neuronal pathophysiology of major depression (MD), but only a few fMRI studies have investigated correlates and predictors of remission. Moreover, most studies have used clinical outcome parameters from two time points, which do...

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Autores principales: Kraus, Christoph, Klöbl, Manfred, Tik, Martin, Auer, Bastian, Vanicek, Thomas, Geissberger, Nicole, Pfabigan, Daniela M., Hahn, Andreas, Woletz, Michael, Paul, Katharina, Komorowski, Arkadiusz, Kasper, Siegfried, Windischberger, Christian, Lamm, Claus, Lanzenberger, Rupert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6756007/
https://www.ncbi.nlm.nih.gov/pubmed/29422521
http://dx.doi.org/10.1038/s41380-017-0009-x
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author Kraus, Christoph
Klöbl, Manfred
Tik, Martin
Auer, Bastian
Vanicek, Thomas
Geissberger, Nicole
Pfabigan, Daniela M.
Hahn, Andreas
Woletz, Michael
Paul, Katharina
Komorowski, Arkadiusz
Kasper, Siegfried
Windischberger, Christian
Lamm, Claus
Lanzenberger, Rupert
author_facet Kraus, Christoph
Klöbl, Manfred
Tik, Martin
Auer, Bastian
Vanicek, Thomas
Geissberger, Nicole
Pfabigan, Daniela M.
Hahn, Andreas
Woletz, Michael
Paul, Katharina
Komorowski, Arkadiusz
Kasper, Siegfried
Windischberger, Christian
Lamm, Claus
Lanzenberger, Rupert
author_sort Kraus, Christoph
collection PubMed
description Functional magnetic resonance imaging (fMRI) successfully disentangled neuronal pathophysiology of major depression (MD), but only a few fMRI studies have investigated correlates and predictors of remission. Moreover, most studies have used clinical outcome parameters from two time points, which do not optimally depict differential response times. Therefore, we aimed to detect neuronal correlates of response and remission in an antidepressant treatment study with 7 T fMRI, potentially harnessing advances in detection power and spatial specificity. Moreover, we modeled outcome parameters from multiple study visits during a 12-week antidepressant fMRI study in 26 acute (aMD) patients compared to 36 stable remitted (rMD) patients and 33 healthy control subjects (HC). During an electrical painful stimulation task, significantly higher baseline activity in aMD compared to HC and rMD in the medial thalamic nuclei of the pulvinar was detected (p = 0.004, FWE-corrected), which was reduced by treatment. Moreover, clinical response followed a sigmoid function with a plateau phase in the beginning, a rapid decline and a further plateau at treatment end. By modeling the dynamic speed of response with fMRI-data, perigenual anterior cingulate activity after treatment was significantly associated with antidepressant response (p < 0.001, FWE-corrected). Temporoparietal junction (TPJ) baseline activity significantly predicted non-remission after 2 antidepressant trials (p = 0.005, FWE-corrected). The results underline the importance of the medial thalamus, attention networks in MD and antidepressant treatment. Moreover, by using a sigmoid model, this study provides a novel method to analyze the dynamic nature of response and remission for future trials.
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spelling pubmed-67560072019-09-24 The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI Kraus, Christoph Klöbl, Manfred Tik, Martin Auer, Bastian Vanicek, Thomas Geissberger, Nicole Pfabigan, Daniela M. Hahn, Andreas Woletz, Michael Paul, Katharina Komorowski, Arkadiusz Kasper, Siegfried Windischberger, Christian Lamm, Claus Lanzenberger, Rupert Mol Psychiatry Article Functional magnetic resonance imaging (fMRI) successfully disentangled neuronal pathophysiology of major depression (MD), but only a few fMRI studies have investigated correlates and predictors of remission. Moreover, most studies have used clinical outcome parameters from two time points, which do not optimally depict differential response times. Therefore, we aimed to detect neuronal correlates of response and remission in an antidepressant treatment study with 7 T fMRI, potentially harnessing advances in detection power and spatial specificity. Moreover, we modeled outcome parameters from multiple study visits during a 12-week antidepressant fMRI study in 26 acute (aMD) patients compared to 36 stable remitted (rMD) patients and 33 healthy control subjects (HC). During an electrical painful stimulation task, significantly higher baseline activity in aMD compared to HC and rMD in the medial thalamic nuclei of the pulvinar was detected (p = 0.004, FWE-corrected), which was reduced by treatment. Moreover, clinical response followed a sigmoid function with a plateau phase in the beginning, a rapid decline and a further plateau at treatment end. By modeling the dynamic speed of response with fMRI-data, perigenual anterior cingulate activity after treatment was significantly associated with antidepressant response (p < 0.001, FWE-corrected). Temporoparietal junction (TPJ) baseline activity significantly predicted non-remission after 2 antidepressant trials (p = 0.005, FWE-corrected). The results underline the importance of the medial thalamus, attention networks in MD and antidepressant treatment. Moreover, by using a sigmoid model, this study provides a novel method to analyze the dynamic nature of response and remission for future trials. Nature Publishing Group UK 2018-02-08 2019 /pmc/articles/PMC6756007/ /pubmed/29422521 http://dx.doi.org/10.1038/s41380-017-0009-x Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. If you remix, transform, or build upon this article or a part thereof, you must distribute your contributions under the same license as the original. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/.
spellingShingle Article
Kraus, Christoph
Klöbl, Manfred
Tik, Martin
Auer, Bastian
Vanicek, Thomas
Geissberger, Nicole
Pfabigan, Daniela M.
Hahn, Andreas
Woletz, Michael
Paul, Katharina
Komorowski, Arkadiusz
Kasper, Siegfried
Windischberger, Christian
Lamm, Claus
Lanzenberger, Rupert
The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI
title The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI
title_full The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI
title_fullStr The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI
title_full_unstemmed The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI
title_short The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI
title_sort pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional mri
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6756007/
https://www.ncbi.nlm.nih.gov/pubmed/29422521
http://dx.doi.org/10.1038/s41380-017-0009-x
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