Brain aging patterns in a large and diverse cohort of 49,482 individuals.

Journal

Nature medicine

ISSN: 1546-170X

Titre abrégé: Nat Med

Pays: United States

ID NLM: 9502015

Informations de publication

Date de publication:
15 Aug 2024

Historique:

received: 31 12 2023

accepted: 20 06 2024

medline: 16 8 2024

pubmed: 16 8 2024

entrez: 15 8 2024

Statut: aheadofprint

Résumé

Brain aging process is influenced by various lifestyle, environmental and genetic factors, as well as by age-related and often coexisting pathologies. Magnetic resonance imaging and artificial intelligence methods have been instrumental in understanding neuroanatomical changes that occur during aging. Large, diverse population studies enable identifying comprehensive and representative brain change patterns resulting from distinct but overlapping pathological and biological factors, revealing intersections and heterogeneity in affected brain regions and clinical phenotypes. Herein, we leverage a state-of-the-art deep-representation learning method, Surreal-GAN, and present methodological advances and extensive experimental results elucidating brain aging heterogeneity in a cohort of 49,482 individuals from 11 studies. Five dominant patterns of brain atrophy were identified and quantified for each individual by respective measures, R-indices. Their associations with biomedical, lifestyle and genetic factors provide insights into the etiology of observed variances, suggesting their potential as brain endophenotypes for genetic and lifestyle risks. Furthermore, baseline R-indices predict disease progression and mortality, capturing early changes as supplementary prognostic markers. These R-indices establish a dimensional approach to measuring aging trajectories and related brain changes. They hold promise for precise diagnostics, especially at preclinical stages, facilitating personalized patient management and targeted clinical trial recruitment based on specific brain endophenotypic expression and prognosis.

Identifiants

DOI: 10.1038/s41591-024-03144-x PMID: 39147830

pubmed: 39147830

doi: 10.1038/s41591-024-03144-x

pii: 10.1038/s41591-024-03144-x

doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

Subventions

Organisme : NIA NIH HHS

ID : RF1 AG054409

Pays : United States

Informations de copyright

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