Correction to: A computational fluid dynamics approach to determine white matter permeability

Area of Science:

• Neuroscience
• Biomedical Engineering
• Computational Science

Background:

• White matter permeability is crucial for understanding brain function and disease.
• Current methods for determining white matter permeability have limitations.
• Computational modeling offers a promising approach to overcome these limitations.

Purpose of the Study:

• To develop and validate a computational fluid dynamics (CFD) model for assessing white matter permeability.
• To provide a novel method for quantifying solute transport across the blood-brain barrier in white matter.

Main Methods:

• A 3D computational fluid dynamics model was developed based on realistic white matter microstructure.
• The model incorporated key physiological parameters such as blood flow, interstitial flow, and solute diffusion.
• Simulations were performed to predict the permeability of white matter to various solutes.

Main Results:

• The CFD model successfully predicted white matter permeability, showing good agreement with existing experimental data.
• The model identified key microstructural features influencing permeability, such as fiber density and tortuosity.
• Simulations demonstrated that permeability varies significantly with solute size and molecular properties.

Conclusions:

• Computational fluid dynamics provides a powerful tool for investigating white matter permeability.
• This approach can enhance our understanding of drug delivery and disease progression in the brain.
• The developed model serves as a foundation for future studies on brain transport phenomena.