A Biomimetic 3-Layered Head Phantom

for Non-Invasive Brain Stimulation

Abstract 

"A Biomimetic 3-Layered Head Phantom with Tunable Electrical Properties for Neurostimulation Testing"

The objective of this work was to develop an electrically conductive three-layered head phantom mimicking the geometry and conductivity of a living head.
The phantom layers represent the major head tissues - outer soft tissue, skull bone, and brain. To achieve tissue-level conductivity, we formulated conductive polymer composites using corn starch/graphene oxide (GO) mixed matrix membranes. The phantom presented in this work consists of an outer layer emulating the impedance of skin/flesh, a middle layer representing cranial bone, and an inner layer simulating the bulk impedance of the brain.
The phantom provides a monkey head analogue with layered electrical properties mimicking the major tissues of a living head. This allows testing of neurostimulation techniques like those being explored for Parkinson’s disease treatment prior to clinical use. In summary, we fabricated an anatomically shaped and electrically mimicking 3-layered head phantom using inexpensive biomaterials and a straightforward technique can serve as a test platform for the development of emerging neurostimulation therapies.

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Project Defenition

Tissue mimicking phantoms have been indispensable tools in biomedical research for evaluating therapeutic techniques and medical devices in vitro. While animal models provide biological fidelity, their use faces ethical concerns and human translational challenges. Anatomically shaped physical models that replicate human tissue morphology and properties present a safe, ethical alternative for device testing and protocol optimization before clinical trials .

This is especially pertinent for emerging electromagnetic brain stimulation therapies that hold promise for treating neurological disorders like Parkinson’s disease . However, the development and safe implementation of such techniques requires extensive prior testing in realistic tissue environments. Existing head phantoms are limited in replicating the layered impedances of the scalp, skull, and brain tissues.

In this work, we present the fabrication of a novel 3-layered head phantom with tailored electrical properties emulating the major tissue layers - skin/flesh, bone, and brain. Conductive hydrogel composites of amylomaltase-treated corn starch and graphene oxide (GO) serve as the tissue-mimicking materials. By optimizing GO concentrations, the impedances of each phantom layer are tuned to match physiologically relevant values.

The biomimetic phantom provides a human head analogue to realistically simulate the effects of neurostimulation therapies for protocol optimization and safety evaluation prior to clinical trials. The anatomically accurate morphology and tissue-specific impedances enable robust characterization of the induced electric field effects. In summary, this cost-effective phantom fabricated using simple techniques can serve as an ethical and practical test bed to accelerate the development of emerging electromagnetic brain therapies.

Textile-Based Head Phantom

Tseghai et al. (2021) developed a textile-based head phantom for EEG electrode testing. They used 3D printing and molding of fabric layers to mimic head anatomy and generate realistic EEG signals. This phantom was durable, customizable and simulated scalp electrical properties.

3D Printed Anthropomorphic Head Phantom

J et al. (2017) presented a 3D printed anthropomorphic head phantom for ultrasound imaging. High-contrast 3D printing resins were used to mimic bone, vessel and soft tissue structures. This allowed evaluation of ultrasound image quality and testing of beamforming algorithms. The modular design also enabled variability across phantoms.

Silicone Rubber Phantoms

Synthetic materials like silicone rubbers have also been used to fabricate tissue-mimicking phantoms Forte et al. (2016). Optimized mixtures of silicones and additives were able to match acoustical and mechanical properties of soft tissues. Phantoms based on these rubbers proved useful for multimodal imaging techniques.


Prior Synthesized Tissue Mimicking materials

Matrix Filler
Polyacrylamide Water-lipid compositions Rice Starch PMMA Electrically Conductive Gelatine
Gellan gum Corn Starch PVC Graphene PANI Agarose
PVA PHY Jelly Carbon nanotubes (CNTs) PPy Silicone-RTV2
Silicone-RTV-1 PDMS Hyaluronic acid Carbon Black (CB) Carbon Active 3D printing materials
Polyester PEG PVP Gold nanoparticles Silver nanoparticles Textiles
Polyurethane Alginate Resins Ionic Compounds

Methods and Experiences

Material Selection

Material selection is key for phantoms intending to simulate the head’s electrical properties. The matrix determines baseline mechanical and electrical characteristics, while added fillers enhance conductivity. Design priorities like anatomical fidelity, manufacturing feasibility and cost constraints also influence material choices. Affordable, available materials facilitate simpler phantom constructions for preliminary analyses before investing in more complex designs needing specialized conductive composites.

Brain layers specifications

Layer Electrical Resistance Conductivity (S/m)
Skull High electrical resistance layer to simulate the skull, which is a poor conductor of electricity. 0.01
Soft Tissue Medium electrical resistance layer to simulate the skin and flesh. 0.45
Brain Low electrical resistance layer to simulate the brain. 0.2

The materials We tested are as follows:

Tested materials

Materials:Matrix Filler
Silicone-RTV2 Resin epoxy Electrically Conductive
PEG Jelly Metal miniparticles Cu(SO4)2
PVC Corn Starch PANI Ca(OH)2
Rice Starch PDMS NaCl Carbon Active
Gelatine Silicone-RTV-1 Aniline Carbon Black (CB)

Me, presenting this work to project sponsers :)

Comparison

Silicones

Ionic Fillers

PANI

CB

Measuring the Conductivity

Two common methods are used:

  1. Two-point probe measurement
  2. Four-point probe measurement

Four-Point Probe Resistivity Measurement Fixture

We reverse-engineered the ETS volume resistivity measurement fixture model and made our own to be able to estimate the samples' electrical conductivities.

I had the opportunity to design and construct this device for the team.

Shows original model vs our model:

Original Model Our Model
Image of original fixture Image of our fixture

Four-Point Probe Resistivity Measurement Fixture

Includes calculations:

 ρv = Vwd/iL 
ρv = Volume resistivity in Ohm-cm 
σ = 1/ρ V = Potential difference across potential electrodes
i = Current through specimen w = width of specimen (cm) 
d = Thickness of specimen (cm)
L = distance between potential electrodes (cm) 

Remaining Tasks and Future Directions

  1. Characterizing the Electrical Behavior
  2. Illustrating the Relationship between Filler Content and Electrical Conductivity
  3. Synthesis of the final 3-layered head phantom


Experiments Gallery

Matrix: PDMS | Filler: Cu(SO4)2

poroused PDMS drowned in Cu(SO4)2 solution

Matrix: Starch | Filler: Carbon Black

Gelatinized starch stirred with CB

4-Point Resistivity measurement fixture

We made our own fixture to measure samples' conductivities

Testing our 4-point probe measurement fixture

The results were evaluated with 2-point probe measurement. The results were promissing.

The molded sigle layer brain phantom

The mold was 3D printed and the sample was starch/NaCl-based.

GO (Graphene Oxide) Flakes Awards

Synthesizing GO using modified Hummer's method

A set of starch-based samples with varied CB and PANI percentages

The black samples are CB, while the others have PANI as the filler.

2-Point probe resistivity measurement

Using a syringe for precise volumetric values to measure a sample's resistivity.

Gelatinized starch stirred with Cu(SO4)2 solution

Had a pretty high electrical conductivity, but the setback was drying out too soon.

Our samples 1

Our samples 2

Our samples 3

Our samples 4

Measuring sample resistivity using Ohm meter

Using ultrsonic bath to homogenize the CB solution

The process of gelatinizing starch

A PDMS/CB-based sample under vacuum pump to remove air bubbles

Gelatinized starch stirred with Cu(SO4)2 solution

Optimized gelatinized starch

Using a syringe to isolate the sample for resisitivity measurement under a fixed volume condition

One of many failed attempts to synthesize a well-structured compound

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