Three UH researchers are revolutionizing the way we think the brain works. Andriy Onufriyenko/Getty Images

While a lot of scientists and researchers have long been scratching their heads over complicated brain functionality challenges, these three University of Houston researchers have made crucial discoveries in their research.

From dissecting the immediate moment a memory is made or incorporating technology to solve mobility problems or concussion research, here are the three brain innovations and findings these UH professors have developed.

Brains on the move

Professor of biomedical engineering Joe Francis is reporting work that represents a significant step forward for prosthetics that perform more naturally. Photo courtesy of UH Research

Brain prosthetics have come a long way in the past few years, but a UH professor and his team have discovered a key feature of a brain-computer interface that allows for an advancement in the technology.

Joe Francis,a UH professor of biomedical engineering, reported in eNeuro that the BCI device is able to learn on its own when its user is expecting a reward through translating interactions "between single-neuron activities and the information flowing to these neurons, called the local field potential," according to a UH news release. This is all happening without the machine being specifically programmed for this capability.

"This will help prosthetics work the way the user wants them to," says Francis in the release. "The BCI quickly interprets what you're going to do and what you expect as far as whether the outcome will be good or bad."

Using implanted electrodes, Francis tracked the effects of reward on the brain's motor cortex activity.

"We assume intention is in there, and we decode that information by an algorithm and have it control either a computer cursor, for example, or a robotic arm," says Francis in the release.

A BCI device would be used for patients with various brain conditions that, as a result of their circumstances, don't have full motor functionality.

"This is important because we are going to have to extract this information and brain activity out of people who cannot actually move, so this is our way of showing we can still get the information even if there is no movement," says Francis.

Demystifying the memory making moments

Margaret Cheung, a UH professor, is looking into what happens when a memory is formed in the brain. Photo courtesy of UH Research

What happens when a brain forms a new memory? Margaret Cheung, a UH professor in the school of physics, computer science, and chemistry, is trying to find out.

Cheung is analyzing the exact moment a neuron forms a memory in our brains and says this research will open doors to enhancing memory making in the future.

"The 2000 Nobel laureate Eric Kandel said that human consciousness will eventually be explained in terms of molecular signaling pathways. I want to see how far we can go to understand the signals," says Cheung in a release.

Cheung is looking at calcium in particular, since this element impacts most of cellular life.

"How the information is transmitted from the calcium to the calmodulin and how CaM uses that information to activate decisions is what we are exploring," says Cheung in the release. "This interaction explains the mechanism of human cognition."

Her work is being funded by a $1.1 million grant from the National Institute of General Medical Science from the National Institutes of Health, and she's venturing into uncharted territories with her calcium signaling studies. Previous research hasn't been precise or conclusive enough for real-world application.

"In this work we seek to understand the dynamics between calcium signaling and the resulting encoded CaM states using a multiphysics approach," says Cheung. "Our expected outcome will advance modeling of the space-time distribution of general secondary messengers and increase the predictive power of biophysical simulations."

New tech for brain damage treatment

Badri Roysam, chair of the University of Houston Department of Electrical and Computer Engineering, is leading the project that uncovering new details surrounding concussions. Photo courtesy of UH Research

Concussions and brain damage have both had their fair shares of question marks, but this UH faculty member is tapping into new technologies to lift the curtain a little.

Badri Roysam, the chair of the University of Houston Department of Electrical and Computer Engineering, is heading up a multimillion-dollar project that includes "super microscopes" and the UH supercomputer at the Hewlett Packard Enterprise Data Science Institute. Roysam calls the $3.19 million project a marriage between these two devices.

"By allowing us to see the effects of the injury, treatments and the body's own healing processes at once, the combination offers unprecedented potential to accelerate investigation and development of next-generation treatments for brain pathologies," says Roysam in a release.

The project, which is funded by the National Institute of Neurological Disorders and Stroke (NINDS), is lead by Roysam and co-principal investigator John Redell, assistant professor at UTHealth McGovern Medical School. The team also includes NINDS scientist Dragan Maric and UH professors Hien Van Nguyen and Saurabh Prasad.

Concussions, which affect millions of people, have long been mysterious to scientists due to technological limitations that hinder treatment options and opportunities.

"We can now go in with eyes wide open whereas before we had only a very incomplete view with insufficient detail," says Roysam in the release. "The combinations of proteins we can now see are very informative. For each cell, they tell us what kind of brain cell it is, and what is going on with that cell."

The technology and research can be extended to other brain conditions, such as strokes, brain cancer, and more.

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”