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In Vivo Imaging of Cerebrospinal Fluid Transport through the Intact Mouse Skull using Fluorescence Macroscopy
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The glymphatic system: Current understanding and modeling.

Tomas Bohr1, Poul G Hjorth2, Sebastian C Holst3

  • 1Department of Physics, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.

Iscience
|September 12, 2022
PubMed
Summary
This summary is machine-generated.

This review categorizes brain

Keywords:
NeuroanatomyNeuroscienceSystems biology

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Area of Science:

  • Neuroscience
  • Biophysics
  • Computational Biology

Background:

  • The glymphatic system facilitates cerebrospinal fluid and interstitial fluid circulation in the brain.
  • This system is crucial for solute transport and has implications for various neurological conditions.
  • Understanding glymphatic system dynamics is key to advancing brain health research.

Purpose of the Study:

  • To review and categorize existing theoretical and numerical models of the glymphatic system.
  • To highlight the clinical applications of these models in areas like drug delivery and neurodegenerative diseases.
  • To identify future research directions and opportunities for model development.

Main Methods:

  • Systematic review of theoretical and numerical models of the glymphatic system.
  • Categorization of models based on anatomical function (e.g., perivascular flow, parenchymal transport, efflux routes).
  • Analysis of model applications and limitations.

Main Results:

  • Models are classified into five functional categories: perivascular flow, brain parenchyma transport, perivascular space interfaces, efflux routes, and neuronal activity links.
  • Existing models support hypothesis generation and transport predictions.
  • Clinical relevance spans drug delivery, stroke, cardiac arrest, and Alzheimer's disease.

Conclusions:

  • Glymphatic system models are essential tools for understanding brain fluid dynamics and solute transport.
  • Further development of models and experimental validation is needed to advance the field.
  • Enhanced models hold promise for improving treatments for neurological disorders.