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Patient-specific computational modeling of cortical spreading depression via diffusion tensor imaging
Julia M Kroos1, Isabella Marinelli1, Ibai Diez2
1Basque Center for Applied Mathematics, Bilbao, Spain.
International Journal for Numerical Methods in Biomedical Engineering
|February 23, 2017
Summary
Cortical spreading depression, linked to migraine aura, may be influenced by individual brain geometry. This study models its propagation using patient-specific data and diffusion imaging.
Area of Science:
- Neuroscience
- Computational Biology
- Medical Imaging
Background:
- Cortical spreading depression (CSD) is associated with migraine visual aura.
- Mechanisms triggering or inhibiting CSD remain poorly understood.
- Individual brain cortical geometry may influence CSD propagation.
Purpose of the Study:
- To investigate the impact of patient-specific cortical geometry on CSD propagation.
- To develop computational models for simulating CSD in individual brains.
- To integrate extracellular potassium models with diffusion tensor imaging (DTI) data.
Main Methods:
- Developed patient-specific computational models of cortical geometry.
- Integrated a distributed model for extracellular potassium concentration.
- Utilized patient-specific diffusivity tensors derived from DTI data.
Main Results:
- Demonstrated the feasibility of integrating patient-specific DTI data into CSD models.
- Showcased the potential of computational modeling to capture individual cortical variations.
- Provided a framework for studying CSD propagation influenced by cortical structure.
Conclusions:
- Patient-specific computational models are crucial for understanding CSD variability.
- Cortical geometry and anisotropy significantly impact CSD propagation.
- This approach offers new insights into the mechanisms underlying migraine aura.
