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Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease

Author

Listed:
  • Julie Gonneaud

    (McGill University
    McGill University)

  • Alex T. Baria

    (McGill University)

  • Alexa Pichet Binette

    (McGill University
    McGill University)

  • Brian A. Gordon

    (Washington University School of Medicine)

  • Jasmeer P. Chhatwal

    (Brigham and Women’s Hospital–Massachusetts General Hospital)

  • Carlos Cruchaga

    (Washington University School of Medicine)

  • Mathias Jucker

    (University of Tübingen)

  • Johannes Levin

    (Ludwig-Maximilians-Universität München, German Center for Neurodegenerative Diseases and Munich Cluster for Systems Neurology (SyNergy))

  • Stephen Salloway

    (Butler Hospital)

  • Martin Farlow

    (Indiana University School of Medicine)

  • Serge Gauthier

    (McGill University)

  • Tammie L. S. Benzinger

    (Washington University School of Medicine)

  • John C. Morris

    (Washington University School of Medicine)

  • Randall J. Bateman

    (Washington University School of Medicine)

  • John C. S. Breitner

    (McGill University)

  • Judes Poirier

    (McGill University)

  • Etienne Vachon-Presseau

    (McGill University
    McGill University
    McGill University)

  • Sylvia Villeneuve

    (McGill University
    McGill University)

Abstract

Resting state functional connectivity (rs-fMRI) is impaired early in persons who subsequently develop Alzheimer’s disease (AD) dementia. This impairment may be leveraged to aid investigation of the pre-clinical phase of AD. We developed a model that predicts brain age from resting state (rs)-fMRI data, and assessed whether genetic determinants of AD, as well as beta-amyloid (Aβ) pathology, can accelerate brain aging. Using data from 1340 cognitively unimpaired participants between 18–94 years of age from multiple sites, we showed that topological properties of graphs constructed from rs-fMRI can predict chronological age across the lifespan. Application of our predictive model to the context of pre-clinical AD revealed that the pre-symptomatic phase of autosomal dominant AD includes acceleration of functional brain aging. This association was stronger in individuals having significant Aβ pathology.

Suggested Citation

  • Julie Gonneaud & Alex T. Baria & Alexa Pichet Binette & Brian A. Gordon & Jasmeer P. Chhatwal & Carlos Cruchaga & Mathias Jucker & Johannes Levin & Stephen Salloway & Martin Farlow & Serge Gauthier & , 2021. "Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease," Nature Communications, Nature, vol. 12(1), pages 1-17, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25492-9
    DOI: 10.1038/s41467-021-25492-9
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    Cited by:

    1. Fan Pu & Weiran Chen & Chenxi Li & Jingqiao Fu & Weijing Gao & Chao Ma & Xingqi Cao & Lingzhi Zhang & Meng Hao & Jin Zhou & Rong Huang & Yanan Ma & Kejia Hu & Zuyun Liu, 2024. "Heterogeneous associations of multiplexed environmental factors and multidimensional aging metrics," Nature Communications, Nature, vol. 15(1), pages 1-11, December.

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