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Brain network architecture constrains age-related cortical thinning.
Petersen, Marvin; Nägele, Felix L; Mayer, Carola; Schell, Maximilian; Rimmele, D Leander; Petersen, Elina; Kühn, Simone; Gallinat, Jürgen; Hanning, Uta; Fiehler, Jens; Twerenbold, Raphael; Gerloff, Christian; Thomalla, Götz; Cheng, Bastian.
  • Petersen M; Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. Electronic address: mar.petersen@uke.de.
  • Nägele FL; Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Mayer C; Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Schell M; Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Rimmele DL; Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Petersen E; Epidemiological Study Center, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of General and Interventional Cardiology, University Heart and Vascular Center, Hamburg, Germany.
  • Kühn S; Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Gallinat J; Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Hanning U; Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Fiehler J; Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Twerenbold R; Epidemiological Study Center, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of General and Interventional Cardiology, University Heart and Vascular Center, Hamburg, Germany; German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Luebeck, Hamburg, Germ
  • Gerloff C; Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Thomalla G; Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Cheng B; Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Neuroimage ; 264: 119721, 2022 12 01.
Article en En | MEDLINE | ID: mdl-36341953
ABSTRACT
Age-related cortical atrophy, approximated by cortical thickness measurements from magnetic resonance imaging, follows a characteristic pattern over the lifespan. Although its determinants remain unknown, mounting evidence demonstrates correspondence between the connectivity profiles of structural and functional brain networks and cortical atrophy in health and neurological disease. Here, we performed a cross-sectional multimodal neuroimaging analysis of 2633 individuals from a large population-based cohort to characterize the association between age-related differences in cortical thickness and functional as well as structural brain network topology. We identified a widespread pattern of age-related cortical thickness differences including "hotspots" of pronounced age effects in sensorimotor areas. Regional age-related differences were strongly correlated within the structurally defined node neighborhood. The overall pattern of thickness differences was found to be anchored in the functional network hierarchy as encoded by macroscale functional connectivity gradients. Lastly, the identified difference pattern covaried significantly with cognitive and motor performance. Our findings indicate that connectivity profiles of functional and structural brain networks act as organizing principles behind age-related cortical thinning as an imaging surrogate of cortical atrophy.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Encéfalo / Adelgazamiento de la Corteza Cerebral Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Encéfalo / Adelgazamiento de la Corteza Cerebral Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article