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Physical symptoms and brain morphology: a population neuroimaging study in 12,286 pre-adolescents

Physical symptoms, also known as somatic symptoms, are those for which medical examinations do not reveal a sufficient underlying root cause (e.g., pain and fatigue). The extant literature of the neurobiological underpinnings of physical symptoms is largely inconsistent and primarily comprises of (c...

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Autores principales: Estévez-López, Fernando, Kim, Hannah H., López-Vicente, Mónica, Legerstee, Jeroen S., Hillegers, Manon H. J., Tiemeier, Henning, Muetzel, Ryan L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338487/
https://www.ncbi.nlm.nih.gov/pubmed/37438345
http://dx.doi.org/10.1038/s41398-023-02528-w
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author Estévez-López, Fernando
Kim, Hannah H.
López-Vicente, Mónica
Legerstee, Jeroen S.
Hillegers, Manon H. J.
Tiemeier, Henning
Muetzel, Ryan L.
author_facet Estévez-López, Fernando
Kim, Hannah H.
López-Vicente, Mónica
Legerstee, Jeroen S.
Hillegers, Manon H. J.
Tiemeier, Henning
Muetzel, Ryan L.
author_sort Estévez-López, Fernando
collection PubMed
description Physical symptoms, also known as somatic symptoms, are those for which medical examinations do not reveal a sufficient underlying root cause (e.g., pain and fatigue). The extant literature of the neurobiological underpinnings of physical symptoms is largely inconsistent and primarily comprises of (clinical) case-control studies with small sample sizes. In this cross-sectional study, we studied the association between dimensionally measured physical symptoms and brain morphology in pre-adolescents from two population-based cohorts; the Generation R Study (n = 2649, 10.1 ± 0.6 years old) and ABCD Study (n = 9637, 9.9 ± 0.6 years old). Physical symptoms were evaluated using continuous scores from the somatic complaints syndrome scale from the parent-reported Child Behavior Checklist (CBCL). High‐resolution structural magnetic resonance imaging (MRI) was collected using 3-Tesla MRI systems. Linear regression models were fitted for global brain metrics (cortical and subcortical grey matter and total white matter volume) and surface-based vertex-wise measures (surface area and cortical thickness). Results were meta-analysed. Symptoms of anxiety/depression were studied as a contrasting comorbidity. In the meta-analyses across cohorts, we found negative associations between physical symptoms and surface area in the (i) left hemisphere; in the lateral orbitofrontal cortex and pars triangularis and (ii) right hemisphere; in the pars triangularis, the pars orbitalis, insula, middle temporal gyrus and caudal anterior cingulate cortex. However, only a subset of regions (left lateral orbitofrontal cortex and right pars triangularis) were specifically associated with physical symptoms, while others were also related to symptoms of anxiety/depression. No significant associations were observed for cortical thickness. This study in preadolescents, the most representative and well-powered to date, showed that more physical symptoms are modestly related to less surface area of the prefrontal cortex mostly. While these effects are subtle, future prospective research is warranted to understand the longitudinal relationship of physical symptoms and brain changes over time. Particularly, to elucidate whether physical symptoms are a potential cause or consequence of distinct neurodevelopmental trajectories.
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spelling pubmed-103384872023-07-14 Physical symptoms and brain morphology: a population neuroimaging study in 12,286 pre-adolescents Estévez-López, Fernando Kim, Hannah H. López-Vicente, Mónica Legerstee, Jeroen S. Hillegers, Manon H. J. Tiemeier, Henning Muetzel, Ryan L. Transl Psychiatry Article Physical symptoms, also known as somatic symptoms, are those for which medical examinations do not reveal a sufficient underlying root cause (e.g., pain and fatigue). The extant literature of the neurobiological underpinnings of physical symptoms is largely inconsistent and primarily comprises of (clinical) case-control studies with small sample sizes. In this cross-sectional study, we studied the association between dimensionally measured physical symptoms and brain morphology in pre-adolescents from two population-based cohorts; the Generation R Study (n = 2649, 10.1 ± 0.6 years old) and ABCD Study (n = 9637, 9.9 ± 0.6 years old). Physical symptoms were evaluated using continuous scores from the somatic complaints syndrome scale from the parent-reported Child Behavior Checklist (CBCL). High‐resolution structural magnetic resonance imaging (MRI) was collected using 3-Tesla MRI systems. Linear regression models were fitted for global brain metrics (cortical and subcortical grey matter and total white matter volume) and surface-based vertex-wise measures (surface area and cortical thickness). Results were meta-analysed. Symptoms of anxiety/depression were studied as a contrasting comorbidity. In the meta-analyses across cohorts, we found negative associations between physical symptoms and surface area in the (i) left hemisphere; in the lateral orbitofrontal cortex and pars triangularis and (ii) right hemisphere; in the pars triangularis, the pars orbitalis, insula, middle temporal gyrus and caudal anterior cingulate cortex. However, only a subset of regions (left lateral orbitofrontal cortex and right pars triangularis) were specifically associated with physical symptoms, while others were also related to symptoms of anxiety/depression. No significant associations were observed for cortical thickness. This study in preadolescents, the most representative and well-powered to date, showed that more physical symptoms are modestly related to less surface area of the prefrontal cortex mostly. While these effects are subtle, future prospective research is warranted to understand the longitudinal relationship of physical symptoms and brain changes over time. Particularly, to elucidate whether physical symptoms are a potential cause or consequence of distinct neurodevelopmental trajectories. Nature Publishing Group UK 2023-07-12 /pmc/articles/PMC10338487/ /pubmed/37438345 http://dx.doi.org/10.1038/s41398-023-02528-w 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
Estévez-López, Fernando
Kim, Hannah H.
López-Vicente, Mónica
Legerstee, Jeroen S.
Hillegers, Manon H. J.
Tiemeier, Henning
Muetzel, Ryan L.
Physical symptoms and brain morphology: a population neuroimaging study in 12,286 pre-adolescents
title Physical symptoms and brain morphology: a population neuroimaging study in 12,286 pre-adolescents
title_full Physical symptoms and brain morphology: a population neuroimaging study in 12,286 pre-adolescents
title_fullStr Physical symptoms and brain morphology: a population neuroimaging study in 12,286 pre-adolescents
title_full_unstemmed Physical symptoms and brain morphology: a population neuroimaging study in 12,286 pre-adolescents
title_short Physical symptoms and brain morphology: a population neuroimaging study in 12,286 pre-adolescents
title_sort physical symptoms and brain morphology: a population neuroimaging study in 12,286 pre-adolescents
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338487/
https://www.ncbi.nlm.nih.gov/pubmed/37438345
http://dx.doi.org/10.1038/s41398-023-02528-w
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