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Brain structural connectivity, anhedonia, and phenotypes of major depressive disorder: A structural equation model approach
Aberrant brain structural connectivity in major depressive disorder (MDD) has been repeatedly reported, yet many previous studies lack integration of different features of MDD with structural connectivity in multivariate modeling approaches. In n = 595 MDD patients, we used structural equation model...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449111/ https://www.ncbi.nlm.nih.gov/pubmed/34302413 http://dx.doi.org/10.1002/hbm.25600 |
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author | Pfarr, Julia‐Katharina Brosch, Katharina Meller, Tina Ringwald, Kai Gustav Schmitt, Simon Stein, Frederike Meinert, Susanne Grotegerd, Dominik Thiel, Katharina Lemke, Hannah Winter, Alexandra Waltemate, Lena Hahn, Tim Opel, Nils Repple, Jonathan Bauer, Jochen Jansen, Andreas Dannlowski, Udo Krug, Axel Kircher, Tilo Nenadić, Igor |
author_facet | Pfarr, Julia‐Katharina Brosch, Katharina Meller, Tina Ringwald, Kai Gustav Schmitt, Simon Stein, Frederike Meinert, Susanne Grotegerd, Dominik Thiel, Katharina Lemke, Hannah Winter, Alexandra Waltemate, Lena Hahn, Tim Opel, Nils Repple, Jonathan Bauer, Jochen Jansen, Andreas Dannlowski, Udo Krug, Axel Kircher, Tilo Nenadić, Igor |
author_sort | Pfarr, Julia‐Katharina |
collection | PubMed |
description | Aberrant brain structural connectivity in major depressive disorder (MDD) has been repeatedly reported, yet many previous studies lack integration of different features of MDD with structural connectivity in multivariate modeling approaches. In n = 595 MDD patients, we used structural equation modeling (SEM) to test the intercorrelations between anhedonia, anxiety, neuroticism, and cognitive control in one comprehensive model. We then separately analyzed diffusion tensor imaging (DTI) connectivity measures in association with those clinical variables, and finally integrated brain connectivity associations, clinical/cognitive variables into a multivariate SEM. We first confirmed our clinical/cognitive SEM. DTI analyses (FWE‐corrected) showed a positive correlation of anhedonia with fractional anisotropy (FA) in the right anterior thalamic radiation (ATR) and forceps minor/corpus callosum, while neuroticism was negatively correlated with axial diffusivity (AD) in the left uncinate fasciculus (UF) and inferior fronto‐occipital fasciculus (IFOF). An extended SEM confirmed the associations of ATR FA with anhedonia and UF/IFOF AD with neuroticism impacting on cognitive control. Our findings provide evidence for a differential impact of state and trait variables of MDD on brain connectivity and cognition. The multivariate approach shows feasibility of explaining heterogeneity within MDD and tracks this to specific brain circuits, thus adding to better understanding of heterogeneity on the biological level. |
format | Online Article Text |
id | pubmed-8449111 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84491112021-09-24 Brain structural connectivity, anhedonia, and phenotypes of major depressive disorder: A structural equation model approach Pfarr, Julia‐Katharina Brosch, Katharina Meller, Tina Ringwald, Kai Gustav Schmitt, Simon Stein, Frederike Meinert, Susanne Grotegerd, Dominik Thiel, Katharina Lemke, Hannah Winter, Alexandra Waltemate, Lena Hahn, Tim Opel, Nils Repple, Jonathan Bauer, Jochen Jansen, Andreas Dannlowski, Udo Krug, Axel Kircher, Tilo Nenadić, Igor Hum Brain Mapp Research Articles Aberrant brain structural connectivity in major depressive disorder (MDD) has been repeatedly reported, yet many previous studies lack integration of different features of MDD with structural connectivity in multivariate modeling approaches. In n = 595 MDD patients, we used structural equation modeling (SEM) to test the intercorrelations between anhedonia, anxiety, neuroticism, and cognitive control in one comprehensive model. We then separately analyzed diffusion tensor imaging (DTI) connectivity measures in association with those clinical variables, and finally integrated brain connectivity associations, clinical/cognitive variables into a multivariate SEM. We first confirmed our clinical/cognitive SEM. DTI analyses (FWE‐corrected) showed a positive correlation of anhedonia with fractional anisotropy (FA) in the right anterior thalamic radiation (ATR) and forceps minor/corpus callosum, while neuroticism was negatively correlated with axial diffusivity (AD) in the left uncinate fasciculus (UF) and inferior fronto‐occipital fasciculus (IFOF). An extended SEM confirmed the associations of ATR FA with anhedonia and UF/IFOF AD with neuroticism impacting on cognitive control. Our findings provide evidence for a differential impact of state and trait variables of MDD on brain connectivity and cognition. The multivariate approach shows feasibility of explaining heterogeneity within MDD and tracks this to specific brain circuits, thus adding to better understanding of heterogeneity on the biological level. John Wiley & Sons, Inc. 2021-07-24 /pmc/articles/PMC8449111/ /pubmed/34302413 http://dx.doi.org/10.1002/hbm.25600 Text en © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Pfarr, Julia‐Katharina Brosch, Katharina Meller, Tina Ringwald, Kai Gustav Schmitt, Simon Stein, Frederike Meinert, Susanne Grotegerd, Dominik Thiel, Katharina Lemke, Hannah Winter, Alexandra Waltemate, Lena Hahn, Tim Opel, Nils Repple, Jonathan Bauer, Jochen Jansen, Andreas Dannlowski, Udo Krug, Axel Kircher, Tilo Nenadić, Igor Brain structural connectivity, anhedonia, and phenotypes of major depressive disorder: A structural equation model approach |
title | Brain structural connectivity, anhedonia, and phenotypes of major depressive disorder: A structural equation model approach |
title_full | Brain structural connectivity, anhedonia, and phenotypes of major depressive disorder: A structural equation model approach |
title_fullStr | Brain structural connectivity, anhedonia, and phenotypes of major depressive disorder: A structural equation model approach |
title_full_unstemmed | Brain structural connectivity, anhedonia, and phenotypes of major depressive disorder: A structural equation model approach |
title_short | Brain structural connectivity, anhedonia, and phenotypes of major depressive disorder: A structural equation model approach |
title_sort | brain structural connectivity, anhedonia, and phenotypes of major depressive disorder: a structural equation model approach |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449111/ https://www.ncbi.nlm.nih.gov/pubmed/34302413 http://dx.doi.org/10.1002/hbm.25600 |
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