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Multi-Layer Brain-Mimicking Phantom for Replicating Dura and Pia Membrane Dimpling and Rupture Properties During
Dongyang Yi1, Kevin Lat1, Lei Chen1
1Department of Mechanical and Industrial Engineering, University of Massachusetts Lowell, Lowell, MA USA 01854.
Biorxiv : the Preprint Server for Biology
|February 23, 2026
Summary
Researchers developed a novel brain-mimicking phantom to test neural interfaces, reducing costly animal experiments. This reproducible phantom accurately predicts insertion forces, accelerating the development of safer, more effective brain implants.
Area of Science:
- Biomaterials Engineering
- Neuroscience
- Medical Device Development
Background:
- Neural interface development relies on animal testing, which is costly and time-consuming.
- Optimizing neural implants requires understanding insertion mechanics to minimize brain damage.
Purpose of the Study:
- To develop a reproducible, low-cost brain-mimicking phantom for neural interface testing.
- To accurately replicate rodent brain tissue properties for insertion force analysis.
- To accelerate the design and development of novel neural implants while reducing animal use.
Main Methods:
- A multi-layer phantom was created using agarose for cortex and pia mater, and pre-stretched polyvinyl chloride for dura mater.
- A cantilever-beam force measurement system quantified rupture forces and dimpling depths.
- Phantom insertion tests were compared with in vivo data from Sprague-Dawley rats.
Main Results:
- Phantom tests closely replicated in vivo data for insertion forces and tissue interaction.
- The phantom demonstrated significantly lower variability than in vivo tests, enabling repeatable measurements.
- The phantom's modular design allows customization for different species and devices.
Conclusions:
- The developed brain-mimicking phantom serves as a validated, customizable platform for neural implant development.
- This phantom accelerates the screening of new electrode designs and reduces reliance on animal testing.
- The technology facilitates the creation of less damaging neural interfaces for improved recording and stimulation outcomes.
