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Macro and micro sleep architecture and cognitive performance in older adults

Author

Listed:
  • Ina Djonlagic

    (Beth Israel Deaconess Medical Center
    Harvard Medical School)

  • Sara Mariani

    (Harvard Medical School
    Brigham and Women’s Hospital)

  • Annette L. Fitzpatrick

    (University of Washington)

  • Veerle M. G. T. H. Klei

    (Brigham and Women’s Hospital)

  • Dayna A. Johnson

    (Emory University)

  • Alexis C. Wood

    (Baylor College of Medicine)

  • Teresa Seeman

    (University of California, Los Angeles)

  • Ha T. Nguyen

    (Wake Forest School of Medicine)

  • Michael J. Prerau

    (Harvard Medical School
    Brigham and Women’s Hospital)

  • José A. Luchsinger

    (Columbia University Medical Center)

  • Joseph M. Dzierzewski

    (Virginia Commonwealth University)

  • Stephen R. Rapp

    (Wake Forest Baptist Medical Center)

  • Gregory J. Tranah

    (California Pacific Medical Center Research Institute)

  • Kristine Yaffe

    (University of California, San Francisco)

  • Katherine E. Burdick

    (Harvard Medical School
    Brigham and Women’s Hospital)

  • Katie L. Stone

    (California Pacific Medical Center Research Institute)

  • Susan Redline

    (Beth Israel Deaconess Medical Center
    Harvard Medical School
    Brigham and Women’s Hospital)

  • Shaun M. Purcell

    (Harvard Medical School
    Brigham and Women’s Hospital)

Abstract

We sought to determine which facets of sleep neurophysiology were most strongly linked to cognitive performance in 3,819 older adults from two independent cohorts, using whole-night electroencephalography. From over 150 objective sleep metrics, we identified 23 that predicted cognitive performance, and processing speed in particular, with effects that were broadly independent of gross changes in sleep quality and quantity. These metrics included rapid eye movement duration, features of the electroencephalography power spectra derived from multivariate analysis, and spindle and slow oscillation morphology and coupling. These metrics were further embedded within broader associative networks linking sleep with aging and cardiometabolic disease: individuals who, compared with similarly aged peers, had better cognitive performance tended to have profiles of sleep metrics more often seen in younger, healthier individuals. Taken together, our results point to multiple facets of sleep neurophysiology that track coherently with underlying, age-dependent determinants of cognitive and physical health trajectories in older adults.

Suggested Citation

  • Ina Djonlagic & Sara Mariani & Annette L. Fitzpatrick & Veerle M. G. T. H. Klei & Dayna A. Johnson & Alexis C. Wood & Teresa Seeman & Ha T. Nguyen & Michael J. Prerau & José A. Luchsinger & Joseph M. , 2021. "Macro and micro sleep architecture and cognitive performance in older adults," Nature Human Behaviour, Nature, vol. 5(1), pages 123-145, January.
    • Handle: RePEc:nat:nathum:v:5:y:2021:i:1:d:10.1038_s41562-020-00964-y
    DOI: 10.1038/s41562-020-00964-y
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    Cited by:

    1. Kosha J. Mehta, 2022. "Effect of sleep and mood on academic performance—at interface of physiology, psychology, and education," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.

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