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@ARTICLE{Petersen:1024382,
      author       = {Petersen, Marvin and Hoffstaedter, Felix and Nägele, Felix
                      L and Mayer, Carola and Schell, Maximilian and Rimmele, D
                      Leander and Zyriax, Birgit-Christiane and Zeller, Tanja and
                      Kühn, Simone and Gallinat, Jürgen and Fiehler, Jens and
                      Twerenbold, Raphael and Omidvarnia, Amir and Patil, Kaustubh
                      R and Eickhoff, Simon B and Thomalla, Goetz and Cheng,
                      Bastian},
      title        = {{A} latent clinical-anatomical dimension relating metabolic
                      syndrome to brain structure and cognition},
      journal      = {eLife},
      volume       = {12},
      issn         = {2050-084X},
      address      = {Cambridge},
      publisher    = {eLife Sciences Publications},
      reportid     = {FZJ-2024-02131},
      pages        = {RP93246},
      year         = {2024},
      abstract     = {he link between metabolic syndrome (MetS) and
                      neurodegenerative as well as 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, brain
                      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.Keywords: brain morphology;
                      cognitive function; connectomics; human; imaging
                      transcriptomics; magnetic resonance imaging; medicine;
                      metabolic syndrome; neuroscience.},
      cin          = {INM-7},
      ddc          = {600},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {38512127},
      UT           = {WOS:001189584800001},
      doi          = {10.7554/eLife.93246},
      url          = {https://juser.fz-juelich.de/record/1024382},
}