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

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A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition : Evidence from a Multivariate Imaging Analysis of 40,087 Individuals. / 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.

in: ELIFE, 2024.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Petersen, M, Hoffstaedter, F, Nägele, FL, Mayer, C, Schell, M, Rimmele, DL, Zyriax, B-C, Zeller, T, Kühn, S, Gallinat, J, Fiehler, J, Twerenbold, R, Omidvarnia, A, Patil, KR, Eickhoff, SB, Thomalla, G & Cheng, B 2024, 'A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition: Evidence from a Multivariate Imaging Analysis of 40,087 Individuals', ELIFE. https://doi.org/10.7554/eLife.93246.3

APA

Petersen, M., Hoffstaedter, F., Nägele, F. L., Mayer, C., Schell, M., Rimmele, D. L., Zyriax, B-C., Zeller, T., Kühn, S., Gallinat, J., Fiehler, J., Twerenbold, R., Omidvarnia, A., Patil, K. R., Eickhoff, S. B., Thomalla, G., & Cheng, B. (2024). A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition: Evidence from a Multivariate Imaging Analysis of 40,087 Individuals. ELIFE. https://doi.org/10.7554/eLife.93246.3

Vancouver

Petersen M, Hoffstaedter F, Nägele FL, Mayer C, Schell M, Rimmele DL et al. A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition: Evidence from a Multivariate Imaging Analysis of 40,087 Individuals. ELIFE. 2024. https://doi.org/10.7554/eLife.93246.3

Bibtex

@article{5a913bd1077a4311a141d55f1a67df67,
title = "A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition: Evidence from a Multivariate Imaging Analysis of 40,087 Individuals",
abstract = "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 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 brain morphological abnormalities, accounting for up to 71% of shared variance in the data. This dimension was replicable across sub-samples. In a mediation analysis we could demonstrate that MetS-related brain morphological abnormalities mediated the link between MetS severity and cognitive performance in multiple domains. Employing imaging transcriptomics and connectomics, our results also suggest that MetS-related morphological abnormalities are linked to 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 can inform effective therapeutic and risk mitigation strategies aimed at maintaining brain integrity.",
author = "Marvin Petersen and Felix Hoffstaedter and N{\"a}gele, {Felix L} and Carola Mayer and Maximilian Schell and Rimmele, {D Leander} and Birgit-Christiane Zyriax and Tanja Zeller and Simone K{\"u}hn and J{\"u}rgen Gallinat and Jens Fiehler and Raphael Twerenbold and Amir Omidvarnia and Patil, {Kaustubh R} and Eickhoff, {Simon B} and G{\"o}tz Thomalla and Bastian Cheng",
year = "2024",
doi = "https://doi.org/10.7554/eLife.93246.3",
language = "English",
journal = "ELIFE",
issn = "2050-084X",
publisher = "eLife Sciences Publications",

}

RIS

TY - JOUR

T1 - A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition

T2 - Evidence from a Multivariate Imaging Analysis of 40,087 Individuals

AU - Petersen, Marvin

AU - Hoffstaedter, Felix

AU - Nägele, Felix L

AU - Mayer, Carola

AU - Schell, Maximilian

AU - Rimmele, D Leander

AU - Zyriax, Birgit-Christiane

AU - Zeller, Tanja

AU - Kühn, Simone

AU - Gallinat, Jürgen

AU - Fiehler, Jens

AU - Twerenbold, Raphael

AU - Omidvarnia, Amir

AU - Patil, Kaustubh R

AU - Eickhoff, Simon B

AU - Thomalla, Götz

AU - Cheng, Bastian

PY - 2024

Y1 - 2024

N2 - 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 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 brain morphological abnormalities, accounting for up to 71% of shared variance in the data. This dimension was replicable across sub-samples. In a mediation analysis we could demonstrate that MetS-related brain morphological abnormalities mediated the link between MetS severity and cognitive performance in multiple domains. Employing imaging transcriptomics and connectomics, our results also suggest that MetS-related morphological abnormalities are linked to 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 can inform effective therapeutic and risk mitigation strategies aimed at maintaining brain integrity.

AB - 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 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 brain morphological abnormalities, accounting for up to 71% of shared variance in the data. This dimension was replicable across sub-samples. In a mediation analysis we could demonstrate that MetS-related brain morphological abnormalities mediated the link between MetS severity and cognitive performance in multiple domains. Employing imaging transcriptomics and connectomics, our results also suggest that MetS-related morphological abnormalities are linked to 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 can inform effective therapeutic and risk mitigation strategies aimed at maintaining brain integrity.

U2 - https://doi.org/10.7554/eLife.93246.3

DO - https://doi.org/10.7554/eLife.93246.3

M3 - SCORING: Journal article

C2 - 36865285

JO - ELIFE

JF - ELIFE

SN - 2050-084X

ER -