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Network alterations underlying anxiety symptoms in early multiple sclerosis
BACKGROUND: Anxiety, often seen as comorbidity in multiple sclerosis (MS), is a frequent neuropsychiatric symptom and essentially affects the overall disease burden. Here, we aimed to decipher anxiety-related networks functionally connected to atrophied areas in patients suffering from MS. METHODS:...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131528/ https://www.ncbi.nlm.nih.gov/pubmed/35610651 http://dx.doi.org/10.1186/s12974-022-02476-0 |
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author | Ellwardt, Erik Muthuraman, Muthuraman Gonzalez-Escamilla, Gabriel Chirumamilla, Venkata Chaitanya Luessi, Felix Bittner, Stefan Zipp, Frauke Groppa, Sergiu Fleischer, Vinzenz |
author_facet | Ellwardt, Erik Muthuraman, Muthuraman Gonzalez-Escamilla, Gabriel Chirumamilla, Venkata Chaitanya Luessi, Felix Bittner, Stefan Zipp, Frauke Groppa, Sergiu Fleischer, Vinzenz |
author_sort | Ellwardt, Erik |
collection | PubMed |
description | BACKGROUND: Anxiety, often seen as comorbidity in multiple sclerosis (MS), is a frequent neuropsychiatric symptom and essentially affects the overall disease burden. Here, we aimed to decipher anxiety-related networks functionally connected to atrophied areas in patients suffering from MS. METHODS: Using 3-T MRI, anxiety-related atrophy maps were generated by correlating longitudinal cortical thinning with the severity of anxiety symptoms in MS patients. To determine brain regions functionally connected to these maps, we applied a technique termed “atrophy network mapping”. Thereby, the anxiety-related atrophy maps were projected onto a large normative connectome (n = 1000) performing seed‐based functional connectivity. Finally, an instructed threat paradigm was conducted with regard to neural excitability and effective connectivity, using transcranial magnetic stimulation combined with high-density electroencephalography. RESULTS: Thinning of the left dorsal prefrontal cortex was the only region that was associated with higher anxiety levels. Atrophy network mapping identified functional involvement of bilateral prefrontal cortex as well as amygdala and hippocampus. Structural equation modeling confirmed that the volumes of these brain regions were significant determinants that influence anxiety symptoms in MS. We additionally identified reduced information flow between the prefrontal cortex and the amygdala at rest, and pathologically increased excitability in the prefrontal cortex in MS patients as compared to controls. CONCLUSION: Anxiety-related prefrontal cortical atrophy in MS leads to a specific network alteration involving structures that resemble known neurobiological anxiety circuits. These findings elucidate the emergence of anxiety as part of the disease pathology and might ultimately enable targeted treatment approaches modulating brain networks in MS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12974-022-02476-0. |
format | Online Article Text |
id | pubmed-9131528 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91315282022-05-26 Network alterations underlying anxiety symptoms in early multiple sclerosis Ellwardt, Erik Muthuraman, Muthuraman Gonzalez-Escamilla, Gabriel Chirumamilla, Venkata Chaitanya Luessi, Felix Bittner, Stefan Zipp, Frauke Groppa, Sergiu Fleischer, Vinzenz J Neuroinflammation Research BACKGROUND: Anxiety, often seen as comorbidity in multiple sclerosis (MS), is a frequent neuropsychiatric symptom and essentially affects the overall disease burden. Here, we aimed to decipher anxiety-related networks functionally connected to atrophied areas in patients suffering from MS. METHODS: Using 3-T MRI, anxiety-related atrophy maps were generated by correlating longitudinal cortical thinning with the severity of anxiety symptoms in MS patients. To determine brain regions functionally connected to these maps, we applied a technique termed “atrophy network mapping”. Thereby, the anxiety-related atrophy maps were projected onto a large normative connectome (n = 1000) performing seed‐based functional connectivity. Finally, an instructed threat paradigm was conducted with regard to neural excitability and effective connectivity, using transcranial magnetic stimulation combined with high-density electroencephalography. RESULTS: Thinning of the left dorsal prefrontal cortex was the only region that was associated with higher anxiety levels. Atrophy network mapping identified functional involvement of bilateral prefrontal cortex as well as amygdala and hippocampus. Structural equation modeling confirmed that the volumes of these brain regions were significant determinants that influence anxiety symptoms in MS. We additionally identified reduced information flow between the prefrontal cortex and the amygdala at rest, and pathologically increased excitability in the prefrontal cortex in MS patients as compared to controls. CONCLUSION: Anxiety-related prefrontal cortical atrophy in MS leads to a specific network alteration involving structures that resemble known neurobiological anxiety circuits. These findings elucidate the emergence of anxiety as part of the disease pathology and might ultimately enable targeted treatment approaches modulating brain networks in MS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12974-022-02476-0. BioMed Central 2022-05-24 /pmc/articles/PMC9131528/ /pubmed/35610651 http://dx.doi.org/10.1186/s12974-022-02476-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Ellwardt, Erik Muthuraman, Muthuraman Gonzalez-Escamilla, Gabriel Chirumamilla, Venkata Chaitanya Luessi, Felix Bittner, Stefan Zipp, Frauke Groppa, Sergiu Fleischer, Vinzenz Network alterations underlying anxiety symptoms in early multiple sclerosis |
title | Network alterations underlying anxiety symptoms in early multiple sclerosis |
title_full | Network alterations underlying anxiety symptoms in early multiple sclerosis |
title_fullStr | Network alterations underlying anxiety symptoms in early multiple sclerosis |
title_full_unstemmed | Network alterations underlying anxiety symptoms in early multiple sclerosis |
title_short | Network alterations underlying anxiety symptoms in early multiple sclerosis |
title_sort | network alterations underlying anxiety symptoms in early multiple sclerosis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131528/ https://www.ncbi.nlm.nih.gov/pubmed/35610651 http://dx.doi.org/10.1186/s12974-022-02476-0 |
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