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A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition

The link between metabolic syndrome (MetS) and neurodegenerative as well cerebrovascular conditions holds substantial implications for brain health in at-risk populations. This study elucidates the complex relationship between metabolic syndrome (MetS) and brain health by conducting a comprehensive...

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Autores principales: Petersen, Marvin, Hoffstaedter, Felix, Nägele, Felix L., Mayer, Carola, Schell, Maximilian, Rimmele, D. Leander, Zyriax, Birgit-Christiane, Zeller, Tanja, Kühn, Simone, Gallinat, Jürgen, Fiehler, Jens, Twerenbold, Raphael, Omidvarnia, Amir, Patil, Kaustubh R., Eickhoff, Simon B., Thomalla, Götz, Cheng, Bastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980040/
https://www.ncbi.nlm.nih.gov/pubmed/36865285
http://dx.doi.org/10.1101/2023.02.22.529531
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author Petersen, Marvin
Hoffstaedter, Felix
Nägele, Felix L.
Mayer, Carola
Schell, Maximilian
Rimmele, D. Leander
Zyriax, Birgit-Christiane
Zeller, Tanja
Kühn, Simone
Gallinat, Jürgen
Fiehler, Jens
Twerenbold, Raphael
Omidvarnia, Amir
Patil, Kaustubh R.
Eickhoff, Simon B.
Thomalla, Götz
Cheng, Bastian
author_facet Petersen, Marvin
Hoffstaedter, Felix
Nägele, Felix L.
Mayer, Carola
Schell, Maximilian
Rimmele, D. Leander
Zyriax, Birgit-Christiane
Zeller, Tanja
Kühn, Simone
Gallinat, Jürgen
Fiehler, Jens
Twerenbold, Raphael
Omidvarnia, Amir
Patil, Kaustubh R.
Eickhoff, Simon B.
Thomalla, Götz
Cheng, Bastian
author_sort Petersen, Marvin
collection PubMed
description The link between metabolic syndrome (MetS) and neurodegenerative as well cerebrovascular conditions holds substantial implications for brain health in at-risk populations. This study elucidates the complex relationship between metabolic syndrome (MetS) and brain health by conducting a comprehensive examination of cardiometabolic risk factors, cortical morphology, and cognitive function in 40,087 individuals. Multivariate, data-driven statistics identified a latent dimension linking more severe MetS to widespread cortical abnormalities and lower cognitive performance, accounting for up to 77% of shared variance in the data. This dimension was replicable across sub-samples. Our results also suggest that MetS-related cortical effects are shaped by the regional cellular composition and macroscopic brain network organization. By leveraging extensive, multi-domain data combined with a dimensional stratification approach, our analysis provides profound insights into the association of MetS and brain health. These findings underscore the necessity for effective risk mitigation strategies aimed at maintaining brain integrity.
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spelling pubmed-99800402023-03-03 A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition Petersen, Marvin Hoffstaedter, Felix Nägele, Felix L. Mayer, Carola Schell, Maximilian Rimmele, D. Leander Zyriax, Birgit-Christiane Zeller, Tanja Kühn, Simone Gallinat, Jürgen Fiehler, Jens Twerenbold, Raphael Omidvarnia, Amir Patil, Kaustubh R. Eickhoff, Simon B. Thomalla, Götz Cheng, Bastian bioRxiv Article The link between metabolic syndrome (MetS) and neurodegenerative as well cerebrovascular conditions holds substantial implications for brain health in at-risk populations. This study elucidates the complex relationship between metabolic syndrome (MetS) and brain health by conducting a comprehensive examination of cardiometabolic risk factors, cortical morphology, and cognitive function in 40,087 individuals. Multivariate, data-driven statistics identified a latent dimension linking more severe MetS to widespread cortical abnormalities and lower cognitive performance, accounting for up to 77% of shared variance in the data. This dimension was replicable across sub-samples. Our results also suggest that MetS-related cortical effects are shaped by the regional cellular composition and macroscopic brain network organization. By leveraging extensive, multi-domain data combined with a dimensional stratification approach, our analysis provides profound insights into the association of MetS and brain health. These findings underscore the necessity for effective risk mitigation strategies aimed at maintaining brain integrity. Cold Spring Harbor Laboratory 2023-10-12 /pmc/articles/PMC9980040/ /pubmed/36865285 http://dx.doi.org/10.1101/2023.02.22.529531 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Petersen, Marvin
Hoffstaedter, Felix
Nägele, Felix L.
Mayer, Carola
Schell, Maximilian
Rimmele, D. Leander
Zyriax, Birgit-Christiane
Zeller, Tanja
Kühn, Simone
Gallinat, Jürgen
Fiehler, Jens
Twerenbold, Raphael
Omidvarnia, Amir
Patil, Kaustubh R.
Eickhoff, Simon B.
Thomalla, Götz
Cheng, Bastian
A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition
title A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition
title_full A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition
title_fullStr A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition
title_full_unstemmed A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition
title_short A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition
title_sort latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980040/
https://www.ncbi.nlm.nih.gov/pubmed/36865285
http://dx.doi.org/10.1101/2023.02.22.529531
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