Neurosurgeon Seeking Guidance on Bioelectrical Circuit Modeling for AVMs and Cerebral Aneurysms

Thread Starter

CortexCommander

Joined May 16, 2025
3
Hello everyone,


I'm a neurosurgeon currently exploring the development of bioelectrical circuit models to better understand and simulate the physiological behavior of arteriovenous malformations (AVMs) and cerebral aneurysms. My goal is to create models that can provide insight into hemodynamic and electrical behavior relevant to these vascular conditions.


While I have a clinical understanding of the pathophysiology, I’m relatively new to electrical circuit modeling and simulation software. I'm seeking guidance on:


  • Basic principles of bioelectrical circuit modeling (especially as it applies to vascular systems)
  • Recommended software/tools (e.g., SPICE variants, COMSOL, Simulink, etc.) suitable for simulating such systems
  • Best practices for integrating clinical imaging and physiological data into such models

I'm happy to share a few research articles and conceptual models I’ve come across to give more context to what I'm aiming to do, in case anyone is interested or able to help further.


Any direction, resources, or collaboration opportunities would be greatly appreciated. Thank you in advance for your time and expertise!
 

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wayneh

Joined Sep 9, 2010
18,085
My goal is to create models that can provide insight…
I have zero to offer on your particular field but I do have a lot of experience creating data-based process models. The grandfather of that field, George Box, famously said, “All models are wrong, some are useful.” That is so very true.

Model building is an iterative process. You first try to capture and simulate what you KNOW about a process. For instance, the rate of reaction of a chemical process might respond to temperature in a way that follows Arrhenius behavior, meaning you can model that behavior with a simple math equation. A win.

You then search for data that DOESN’T fit your growing model. That’s where you might find variables that affect your process that you hadn’t considered, for instance maybe pH or the concentration of some ion.

Models live or die based on data. There is no substitute for good data. You learn whether your model, which is certainly “wrong”, might be useful only over time as you compare its predictions to more and more data. Be very skeptical of models that merely fit the data they were built upon.
 

Thread Starter

CortexCommander

Joined May 16, 2025
3
Thank you for your help ,

If you go through the articles my help needed is very specific, it is to build a circuit model only .
I need to understand a few things like which software can i use , what are the basics i need and how to simulate them ?
 
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