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.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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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 -