Physical models of a patient’s brain help researchers treat neurological disorders and diseases

Oct 6, 2022

3 min

Ravi Hadimani

Brain phantoms are a creative solution for a challenging question: How do you tune an electromagnetic field to a patient without testing on the actual patient? Transcranial magnetic stimulation (TMS) is an application of electromagnetic research with the potential to change the way we treat migraines, depression, obsessive compulsive disorder and even conditions like schizophrenia and Parkinson’s disease.


Ravi Hadimani, Ph.D., associate professor of mechanical and nuclear engineering, leads a team of researchers who seek to use TMS to excite or inhibit brain neurons to alter specific brain functions and treat these conditions. This team includes faculty from VCU Health, including Mark Baron, M.D., professor of neurology and Kathryn Holloway, M.D., professor of neurosurgery, as well as outside collaborators like Joan Camprodon, M.D., associate professor of psychiatry at Harvard Medical School.


“The brain phantom is a first step,” says Hadimani, “Our ultimate goal is to 3D print a brain fabricated with biomaterial scaffolds and printed neurons that produce a stimulation response similar to neurons in our brain. This model would behave more realistically than current brain phantoms. Our future work involves collaborating with researchers who are able to print lab-grown neurons on biomaterial scaffolds or researchers who directly fabricate artificial neurons onto any scaffold.”


Coils used in TMS are responsible for generating the electromagnetic field used in treatment. Individual coils are designed to treat specific diseases, but additional settings like current strength, number of pulses and coil direction are unique to each patient. Refining these settings on the actual patient is not feasible. Computer modeling is also inefficient because creating head models and running simulations from MRI scans of the brain’s complex structure are not spontaneous.


Hadimani and his team developed the brain phantom as a novel solution to this problem. In 2018, the first model was created by Hamzah Magsood, one of Hadimani’s Ph.D. students. The brain phantom is a physical model of a patient’s brain designed to specifications obtained from MRI scans. Materials used in brain phantom construction are designed to replicate the electrical conductivity and electromagnetic permeability of different brain sectors. The result is a representation that, when connected to electrodes, provides instantaneous feedback to researchers calibrating TMS coils.


Elements of material science, electromagnetics and mechanical prototyping come together to create each brain phantom. The process starts with an MRI, which serves as a map for researchers designing the customized model. This is a careful process. Unlike other areas of the body with clear distinguishing features, like skin, muscle and bone, the brain has subtle differences between its many regions. Researchers must carefully distinguish between these areas to create an accurate brain phantom that will simulate a patient’s skin and skull as well as the brain’s gray and white matter.


A composite material of polymer and carbon nanotubes that exhibits electric properties similar to the human brain is the foundation for the brain phantom. Additive manufacturing, more commonly known as 3D printing, is used to create shells for different brain regions based on the patient’s MRI. This shell becomes a mold for the polymer and carbon nanotube solution. Once the brain phantom takes shape within the mold, it is placed within a solution that dissolves the casing, leaving only the brain phantom behind. The conductive parts of the brain phantom are dark because of the carbon nanotubes and non-conductive parts are lighter in color.


Electrodes are easily inserted into the brain phantom and provide feedback when an electromagnetic field from the TMS coil is applied. Adjustments to the strength, number of pulses of the field, and coil direction can then be made before applying the treatment to a patient.


Having recently received a patent for the brain phantom, Hadimani and Wesley Lohr, a senior biomedical engineering undergraduate, formed Realistic Anatomical Model (RAM) Phantom. The pair have been awarded both the Commonwealth Commercialization Fund Award and the Commonwealth Cyber Initiative Dreams to Reality Incubator Grant. RAM Phantom’s goal is to market brain phantom technology to the growing neuromodulation market, which also includes transcranial direct current stimulation and deep brain stimulation. The company will also aid in the development of advanced brain models that more accurately simulate the properties of the human brain.

Connect with:
Ravi Hadimani

Ravi Hadimani

Associate Professor and Director of Biomagnetics Laboratory

Professor Hadimani specializes in non-invasive brain stimulation, biomagnetics, magnetocalorics and energy harvesting research.

Transcranial Magnetic Stimulation (Tms)Piezoelectric Energy HarvestingMagnetic Nanoparticles Magnetocaloric EffectRare-Earth Magnetic Materials
Powered by

You might also like...

Check out some other posts from VCU College of Engineering

VCU College of Engineering Dean Azim Eskandarian, D.Sc., named Fellow of The Society of Automotive Engineers International featured image

2 min

VCU College of Engineering Dean Azim Eskandarian, D.Sc., named Fellow of The Society of Automotive Engineers International

Recently named a Fellow of the Society of Automotive Engineers (SAE) International, Azim Eskandarian, D.Sc., the Alice T. and William H. Goodwin Jr. Dean of the Virginia Commonwealth University (VCU) College of Engineering, received one of the organization’s highest honors. The designation recognizes individuals who have made extraordinary and sustained impacts on the mobility industry through technical excellence, leadership, innovation and dedicated service to the profession and to SAE International. “SAE Fellows – whose leadership and technical contributions strengthen our organization embody the highest level of professional achievement,” said Carla Bailo, 2026 SAE International president and chair of the board of directors. “Election to SAE Fellow reflects an individual’s lasting influence on mobility engineering and reinforces the standards of excellence that guide SAE’s strategic direction.” Selected through a comprehensive review process led by the SAE International Fellows Committee and approved by the SAE International Board of Directors, SAE Fellows exemplify the organization’s mission to advance mobility knowledge and solutions for the benefit of humanity. “It is a great honor to receive this distinction from an organization that is so essential to the advancement of the automotive industry,” said Eskandarian. “I hope to continue collaborating with engineers, researchers and other professionals who share a vision for the great work we can do to improve the safety and efficiency of transportation.” Numerous scientific and technical contributions to automotive safety, academic programs, workforce development in crashworthiness, collision avoidance, advanced driver assistance systems, intelligent vehicles, and autonomous driving have stemmed from the more than 40 years of work Eskandarian has pioneered. His research on intelligent and autonomous vehicles includes the development of novel methods for driver safety systems. As an academic leader, Eskandarian’s enduring commitment to education, mentorship and service led him to start impactful academic programs at several universities. This includes robotics and autonomous systems programs and new master’s concentrations at the VCU College of Engineering, a graduate academic program in intelligent transportation systems and an undergraduate concentration in transportation engineering at George Washington University, and an automotive engineering concentration at Virginia Tech. Eskandarian is also a Fellow of two other technical societies, the American Society of Mechanical Engineers (ASME) and the Institute of Electrical and Electronics Engineers (IEEE).

VCU College of Engineering receives $600,000 for AI-driven cybersecurity research featured image

2 min

VCU College of Engineering receives $600,000 for AI-driven cybersecurity research

To advance AI-enabled cybersecurity research, the National Science Foundation (NSF) presented Kemal Akkaya, Ph.D., professor and chair of the Department of Computer Science, with a $600,000 grant through the organization’s Cybersecurity Innovation for Cyberinfrastructure program. Akkaya’s three-year project will explore how large language models (LLMs) can automate packet labeling for intrusion detection systems. “From transportation and healthcare to finance, improving the accuracy of machine learning algorithms used to defend the networks that underpin these sectors’ cyberinfrastructure is critical for protecting them from cyberattacks. Strengthening these defenses helps ensure the reliability and security of the essential services people rely on every day,” said Akkaya. Intrusion detection systems monitor network traffic to identify suspicious or malicious activity. These systems rely on machine learning models trained on large volumes of accurately labeled data. Producing those datasets, however, is time intensive and often requires expert cybersecurity knowledge. As digital systems increasingly power transportation, health care, finance and communication, the volume and sophistication of cyber attacks continue to grow. At the same time, artificial intelligence is reshaping how both attackers and defenders operate. Improving how quickly and accurately security systems can be trained is critical to protecting the infrastructure that supports daily life. Akkaya’s project will investigate how generative AI can help address this challenge. The team will fine tune open-source large language models using network data, threat signatures and expert annotations. Model accuracy will be strengthened through retrieval-augmented refinement, ensemble modeling and human-in-the-loop verification. Labeled datasets will be released in stages to support the development and evaluation of cybersecurity models. Using data from AmLight, an international research and education network operated by Florida International University (FIU), the project includes collaboration with researchers from FIU. The award strengthens VCU’s growing leadership in AI-enabled cybersecurity research and provides hands-on research training for graduate students. Resulting datasets from this work will support machine learning education for undergraduate students.

Director Gennady Miloshevsky, Ph.D., shares his vision for the nuclear program at the VCU College of Engineering featured image

5 min

Director Gennady Miloshevsky, Ph.D., shares his vision for the nuclear program at the VCU College of Engineering

Recently named the nuclear program director at the Virginia Commonwealth University (VCU) College of Engineering, Gennady Miloshevsky, Ph.D., associate professor in the Department of Mechanical & Nuclear Engineering, answers some questions about the direction of VCU Engineering’s nuclear program and what he hopes it can accomplish. What are your top priorities for the nuclear program at the VCU College of Engineering? I want to focus on student development, innovative research and our rankings in best program lists, but that is not everything. Strategy is important. We need to align ourselves with the country’s national energy needs. There are many new developments in the energy sector, like small modular reactors or fusion energy systems, and having the right faculty to engage with these advancements is important. Providing students with a well-rounded education and good opportunities for gaining experience benefits the College of Engineering’s public and private sector partners. Nuclear subject matter is complex, so higher education is very important for workforce development. We want to build partnerships, like the one we have with Dominion Energy, that support this goal. A priority for me is continuing to establish relationships with Commonwealth Fusion Systems, which seeks to build and operate the first commercial grid-scale fusion plant in Chesterfield County, Virginia. Our workforce partners will benefit from VCU’s well-trained nuclear engineering graduates joining the workforce. So, aligning our strategy with national energy needs, hiring the right faculty to support our programs and building industry partnerships that benefit our student’s education and career opportunities are important things for VCU Engineering’s nuclear program. Where would you like to see the College of Engineering’s nuclear program 10 years from now? I would like to see growth in the nuclear program. For example, some new graduate courses on topics like nuclear materials or fusion energy. In 2024, I developed a general course for fusion energy, so building out a curriculum that goes more in-depth would be good. When you look at small modular reactors and micro reactors, current energy policy does not allow private companies to build their own. However, as energy demands increase, policy could change to where you see these compact devices installed in places like data centers, for example. A more in-depth curriculum allows VCU Engineering students to step into industry roles that lead growth of the energy industry while also ensuring students are capable of adapting to the changing field and taking advantage of new developments. What sort of cross-disciplinary opportunities are there for the College of Engineering’s nuclear program? Nuclear engineering and nuclear science are very interdisciplinary fields. You have physics that covers the nuclear reaction and the radiation it generates, for example, then chemistry is needed when talking about nuclear fuel cycles and nuclear waste. You also need materials science because good materials capable of withstanding radiation and high temperatures are needed in nuclear fission and fusion energy systems. This science then connects to engineering, building the reactors, the energy distribution systems like a power grid. It is a small sample of the overall work, but you see how mechanical and electrical engineering are key to this part. All these disciplines come together to solve the same problem. One researcher might be figuring out how to confine plasma and make it stable, then another researcher is looking at how plasma can disrupt the containment wall and how to make materials to protect the wall. Within our department, we are making connections between mechanical-focused faculty working on high-temperature ceramics or additive manufacturing techniques and those of us researching nuclear energy systems in order to make joint proposals. We are also collaborating outside VCU. As an example, I am involved with an alliance founded by the Defense Threat Reduction Agency (DTRA) comprised of 17 universities, research labs and military centers. Coordinated through DTRA, we work together on many of the same problems.Through this partnership, my Ph.D. students do summer research rotations with national labs like Lawrence Livermore National Laboratory in California and The Pacific Northwest National Laboratory. We also bring cadets and midshipman into VCU from other institutions, like the DTRA Nuclear Science and Engineering Research Center, United States Military Academy West Point and the Virginia Military Institute, whose students have been part of research experience for undergraduates programs in the summer. How is artificial intelligence impacting the field of nuclear engineering? So, the United States is sponsoring the Genesis Mission, which seeks to transform science innovation through the power of AI. One area of the Genesis Mission is nuclear fission and fusion energy. I see this playing out with the Department of Energy encouraging national labs, universities and industry to work together on applying these AI advancements to solve the research problems of nuclear energy. It is a great opportunity for students, who we can involve in this work to give them real-world experience with topics they will see after graduation. Last semester I taught a course at VCU on the practical applications of AI on nuclear engineering problems. It is not something like ChatGPT or anything like that. What we did is take Google’s TensorFlow platform that is a library of AI models and machine neural networks. Using Python scripting students learn how to apply these AI resources to about 30 problems in mechanical and nuclear engineering. They create scripts, use data sets and run analytics. We have a nuclear reactor simulator and I have some ideas to create AI-based software we can pair with the simulator, then give the software a data set and let it control the operation of the simulator in a safe way. Tell us about your background. What brought you VCU and the Department of Mechanical and Nuclear Engineering? Actually, I am not a mechanical or a nuclear engineer. My background is in physics. I graduated from the Belarusian State University in 1990 and continued to a Ph.D. in physics from the Heat and Mass Transfer Institute of the National Academy of Sciences of Belarus working on topics related to fusion plasmas and nuclear weapon effects. In space, nuclear weapons produce shockwaves and radiation. I computationally model these effects in my research to determine how something like a nuclear warhead detonation in orbit will impact the materials a satellite is made of, for example. My research also crosses over into nuclear fusion, specifically thermodynamic and optical plasma properties, fusion plasma disruptions, melt motion and splashing from plasma facing components. Accelerating Next-Generation Extreme Ultraviolet (EUV) Lithography (ANGEL) is my most recent collaborative project, supported by the Department of Energy’s (DOE) Office of Science, Fusion Energy Sciences. It involves two national laboratories, three universities and a private-sector company focusing on advancement of future micro-electronic chips, EUV photon sources, mitigation of material degradation and plasma chemistry. Prior to joining the VCU College of Engineering I worked at Purdue University at a DOE-funded center investigating nuclear fusion and the effects of plasma on materials. Around 2019 I wanted to develop my own lab, so I came to VCU with startup funds from the Nuclear Regulatory Commission and DTRA. My first priority after joining the VCU College of Engineering was continuing my fusion research, the second was collaborating with an alliance of universities focused on work for DTRA and DOE.

View all posts