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A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination
Rumination is a cognitive style characterized by repetitive thoughts about one’s negative internal states and is a common symptom of depression. Previous studies have linked trait rumination to alterations in the default mode network, but predictive brain markers of rumination are lacking. Here, we...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272121/ https://www.ncbi.nlm.nih.gov/pubmed/37321986 http://dx.doi.org/10.1038/s41467-023-39142-9 |
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author | Kim, Jungwoo Andrews-Hanna, Jessica R. Eisenbarth, Hedwig Lux, Byeol Kim Kim, Hong Ji Lee, Eunjin Lindquist, Martin A. Losin, Elizabeth A. Reynolds Wager, Tor D. Woo, Choong-Wan |
author_facet | Kim, Jungwoo Andrews-Hanna, Jessica R. Eisenbarth, Hedwig Lux, Byeol Kim Kim, Hong Ji Lee, Eunjin Lindquist, Martin A. Losin, Elizabeth A. Reynolds Wager, Tor D. Woo, Choong-Wan |
author_sort | Kim, Jungwoo |
collection | PubMed |
description | Rumination is a cognitive style characterized by repetitive thoughts about one’s negative internal states and is a common symptom of depression. Previous studies have linked trait rumination to alterations in the default mode network, but predictive brain markers of rumination are lacking. Here, we adopt a predictive modeling approach to develop a neuroimaging marker of rumination based on the variance of dynamic resting-state functional connectivity and test it across 5 diverse subclinical and clinical samples (total n = 288). A whole-brain marker based on dynamic connectivity with the dorsomedial prefrontal cortex (dmPFC) emerges as generalizable across the subclinical datasets. A refined marker consisting of the most important features from a virtual lesion analysis further predicts depression scores of adults with major depressive disorder (n = 35). This study highlights the role of the dmPFC in trait rumination and provides a dynamic functional connectivity marker for rumination. |
format | Online Article Text |
id | pubmed-10272121 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102721212023-06-17 A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination Kim, Jungwoo Andrews-Hanna, Jessica R. Eisenbarth, Hedwig Lux, Byeol Kim Kim, Hong Ji Lee, Eunjin Lindquist, Martin A. Losin, Elizabeth A. Reynolds Wager, Tor D. Woo, Choong-Wan Nat Commun Article Rumination is a cognitive style characterized by repetitive thoughts about one’s negative internal states and is a common symptom of depression. Previous studies have linked trait rumination to alterations in the default mode network, but predictive brain markers of rumination are lacking. Here, we adopt a predictive modeling approach to develop a neuroimaging marker of rumination based on the variance of dynamic resting-state functional connectivity and test it across 5 diverse subclinical and clinical samples (total n = 288). A whole-brain marker based on dynamic connectivity with the dorsomedial prefrontal cortex (dmPFC) emerges as generalizable across the subclinical datasets. A refined marker consisting of the most important features from a virtual lesion analysis further predicts depression scores of adults with major depressive disorder (n = 35). This study highlights the role of the dmPFC in trait rumination and provides a dynamic functional connectivity marker for rumination. Nature Publishing Group UK 2023-06-15 /pmc/articles/PMC10272121/ /pubmed/37321986 http://dx.doi.org/10.1038/s41467-023-39142-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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. 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kim, Jungwoo Andrews-Hanna, Jessica R. Eisenbarth, Hedwig Lux, Byeol Kim Kim, Hong Ji Lee, Eunjin Lindquist, Martin A. Losin, Elizabeth A. Reynolds Wager, Tor D. Woo, Choong-Wan A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination |
title | A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination |
title_full | A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination |
title_fullStr | A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination |
title_full_unstemmed | A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination |
title_short | A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination |
title_sort | dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272121/ https://www.ncbi.nlm.nih.gov/pubmed/37321986 http://dx.doi.org/10.1038/s41467-023-39142-9 |
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