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Larger gray matter volumes in neuropsychiatric long-COVID syndrome
Neuropsychiatric symptoms are the most common sequelae of long-COVID. As accumulating evidence suggests an impact of survived SARS-CoV-2-infection on brain physiology, it is necessary to further investigate brain structural changes in relation to course and neuropsychiatric symptom burden in long-CO...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444315/ https://www.ncbi.nlm.nih.gov/pubmed/36087363 http://dx.doi.org/10.1016/j.psychres.2022.114836 |
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author | Besteher, Bianca Machnik, Marlene Troll, Marie Toepffer, Antonia Zerekidze, Ani Rocktäschel, Tonia Heller, Carina Kikinis, Zora Brodoehl, Stefan Finke, Kathrin Reuken, Philipp A. Opel, Nils Stallmach, Andreas Gaser, Christian Walter, Martin |
author_facet | Besteher, Bianca Machnik, Marlene Troll, Marie Toepffer, Antonia Zerekidze, Ani Rocktäschel, Tonia Heller, Carina Kikinis, Zora Brodoehl, Stefan Finke, Kathrin Reuken, Philipp A. Opel, Nils Stallmach, Andreas Gaser, Christian Walter, Martin |
author_sort | Besteher, Bianca |
collection | PubMed |
description | Neuropsychiatric symptoms are the most common sequelae of long-COVID. As accumulating evidence suggests an impact of survived SARS-CoV-2-infection on brain physiology, it is necessary to further investigate brain structural changes in relation to course and neuropsychiatric symptom burden in long-COVID. To this end, the present study investigated 3T-MRI scans from long-COVID patients suffering from neuropsychiatric symptoms (n = 30), and healthy controls (n = 20). Whole-brain comparison of gray matter volume (GMV) was conducted by voxel-based morphometry. To determine whether changes in GMV are predicted by neuropsychiatric symptom burden and/or initial severity of symptoms of COVID-19 and time since onset of COVID-19 stepwise linear regression analysis was performed. Significantly enlarged GMV in long-COVID patients was present in several clusters (spanning fronto-temporal areas, insula, hippocampus, amygdala, basal ganglia, and thalamus in both hemispheres) when compared to controls. Time since onset of COVID-19 was a significant regressor in four of these clusters with an inverse relationship. No associations with clinical symptom burden were found. GMV alterations in limbic and secondary olfactory areas are present in long-COVID patients and might be dynamic over time. Larger samples and longitudinal data in long-COVID patients are required to further clarify the mediating mechanisms between COVID-19, GMV and neuropsychiatric symptoms. |
format | Online Article Text |
id | pubmed-9444315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94443152022-09-06 Larger gray matter volumes in neuropsychiatric long-COVID syndrome Besteher, Bianca Machnik, Marlene Troll, Marie Toepffer, Antonia Zerekidze, Ani Rocktäschel, Tonia Heller, Carina Kikinis, Zora Brodoehl, Stefan Finke, Kathrin Reuken, Philipp A. Opel, Nils Stallmach, Andreas Gaser, Christian Walter, Martin Psychiatry Res Article Neuropsychiatric symptoms are the most common sequelae of long-COVID. As accumulating evidence suggests an impact of survived SARS-CoV-2-infection on brain physiology, it is necessary to further investigate brain structural changes in relation to course and neuropsychiatric symptom burden in long-COVID. To this end, the present study investigated 3T-MRI scans from long-COVID patients suffering from neuropsychiatric symptoms (n = 30), and healthy controls (n = 20). Whole-brain comparison of gray matter volume (GMV) was conducted by voxel-based morphometry. To determine whether changes in GMV are predicted by neuropsychiatric symptom burden and/or initial severity of symptoms of COVID-19 and time since onset of COVID-19 stepwise linear regression analysis was performed. Significantly enlarged GMV in long-COVID patients was present in several clusters (spanning fronto-temporal areas, insula, hippocampus, amygdala, basal ganglia, and thalamus in both hemispheres) when compared to controls. Time since onset of COVID-19 was a significant regressor in four of these clusters with an inverse relationship. No associations with clinical symptom burden were found. GMV alterations in limbic and secondary olfactory areas are present in long-COVID patients and might be dynamic over time. Larger samples and longitudinal data in long-COVID patients are required to further clarify the mediating mechanisms between COVID-19, GMV and neuropsychiatric symptoms. The Authors. Published by Elsevier B.V. 2022-11 2022-09-06 /pmc/articles/PMC9444315/ /pubmed/36087363 http://dx.doi.org/10.1016/j.psychres.2022.114836 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Besteher, Bianca Machnik, Marlene Troll, Marie Toepffer, Antonia Zerekidze, Ani Rocktäschel, Tonia Heller, Carina Kikinis, Zora Brodoehl, Stefan Finke, Kathrin Reuken, Philipp A. Opel, Nils Stallmach, Andreas Gaser, Christian Walter, Martin Larger gray matter volumes in neuropsychiatric long-COVID syndrome |
title | Larger gray matter volumes in neuropsychiatric long-COVID syndrome |
title_full | Larger gray matter volumes in neuropsychiatric long-COVID syndrome |
title_fullStr | Larger gray matter volumes in neuropsychiatric long-COVID syndrome |
title_full_unstemmed | Larger gray matter volumes in neuropsychiatric long-COVID syndrome |
title_short | Larger gray matter volumes in neuropsychiatric long-COVID syndrome |
title_sort | larger gray matter volumes in neuropsychiatric long-covid syndrome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444315/ https://www.ncbi.nlm.nih.gov/pubmed/36087363 http://dx.doi.org/10.1016/j.psychres.2022.114836 |
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