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Resting-state global brain activity affects early β-amyloid accumulation in default mode network

Author

Listed:
  • Feng Han

    (The Pennsylvania State University)

  • Xufu Liu

    (The Pennsylvania State University)

  • Richard B. Mailman

    (Pennsylvania State University College of Medicine and Milton S. Hershey Medical Center)

  • Xuemei Huang

    (Pennsylvania State University College of Medicine and Milton S. Hershey Medical Center
    Pennsylvania State University and Milton S. Hershey Medical Center
    The Pennsylvania State University)

  • Xiao Liu

    (The Pennsylvania State University
    The Pennsylvania State University)

Abstract

It remains unclear why β-amyloid (Aβ) plaque, a hallmark pathology of Alzheimer’s disease (AD), first accumulates cortically in the default mode network (DMN), years before AD diagnosis. Resting-state low-frequency (

Suggested Citation

  • Feng Han & Xufu Liu & Richard B. Mailman & Xuemei Huang & Xiao Liu, 2023. "Resting-state global brain activity affects early β-amyloid accumulation in default mode network," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43627-y
    DOI: 10.1038/s41467-023-43627-y
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    References listed on IDEAS

    as
    1. Charles J. Kowalski, 1972. "On the Effects of Non‐Normality on the Distribution of the Sample Product‐Moment Correlation Coefficient," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 21(1), pages 1-12, March.
    2. Mathias Jucker & Lary C. Walker, 2013. "Self-propagation of pathogenic protein aggregates in neurodegenerative diseases," Nature, Nature, vol. 501(7465), pages 45-51, September.
    3. Xiao Liu & Jacco A. de Zwart & Marieke L. Schölvinck & Catie Chang & Frank Q. Ye & David A. Leopold & Jeff H. Duyn, 2018. "Subcortical evidence for a contribution of arousal to fMRI studies of brain activity," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    4. Richard J. Perrin & Anne M. Fagan & David M. Holtzman, 2009. "Multimodal techniques for diagnosis and prognosis of Alzheimer's disease," Nature, Nature, vol. 461(7266), pages 916-922, October.
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