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Near-lifespan longitudinal tracking of brain microvascular morphology, topology, and flow in male mice

Author

Listed:
  • Konrad W. Walek

    (Brown University)

  • Sabina Stefan

    (Brown University)

  • Jang-Hoon Lee

    (Brown University)

  • Pooja Puttigampala

    (Drexel University)

  • Anna H. Kim

    (Brown University)

  • Seong Wook Park

    (Brown University)

  • Paul J. Marchand

    (École Polytechnique de Montréal)

  • Frederic Lesage

    (École Polytechnique de Montréal)

  • Tao Liu

    (Brown University School of Public Health)

  • Yu-Wen Alvin Huang

    (Brown University
    Cell Biology and Biochemistry, Brown University
    Brown University)

  • David A. Boas

    (Boston University)

  • Christopher Moore

    (Brown University
    Brown University)

  • Jonghwan Lee

    (Brown University
    Brown University)

Abstract

In age-related neurodegenerative diseases, pathology often develops slowly across the lifespan. As one example, in diseases such as Alzheimer’s, vascular decline is believed to onset decades ahead of symptomology. However, challenges inherent in current microscopic methods make longitudinal tracking of such vascular decline difficult. Here, we describe a suite of methods for measuring brain vascular dynamics and anatomy in mice for over seven months in the same field of view. This approach is enabled by advances in optical coherence tomography (OCT) and image processing algorithms including deep learning. These integrated methods enabled us to simultaneously monitor distinct vascular properties spanning morphology, topology, and function of the microvasculature across all scales: large pial vessels, penetrating cortical vessels, and capillaries. We have demonstrated this technical capability in wild-type and 3xTg male mice. The capability will allow comprehensive and longitudinal study of a broad range of progressive vascular diseases, and normal aging, in key model systems.

Suggested Citation

  • Konrad W. Walek & Sabina Stefan & Jang-Hoon Lee & Pooja Puttigampala & Anna H. Kim & Seong Wook Park & Paul J. Marchand & Frederic Lesage & Tao Liu & Yu-Wen Alvin Huang & David A. Boas & Christopher M, 2023. "Near-lifespan longitudinal tracking of brain microvascular morphology, topology, and flow in male mice," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38609-z
    DOI: 10.1038/s41467-023-38609-z
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    References listed on IDEAS

    as
    1. Mohammad Haft-Javaherian & Linjing Fang & Victorine Muse & Chris B Schaffer & Nozomi Nishimura & Mert R Sabuncu, 2019. "Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-21, March.
    2. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
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