mental health

Brain structures and mental disorders: what’s the connection?

Computer science doctoral student Bohan Xu (MS ’16) wants to understand more thoroughly brain-structure differences between individuals with psychiatric disorders and people in a “healthy” control group. Xu is undertaking this study at the Laureate Institute for Brain Research (LIBR) under the supervision of Rayus Kuplicki (BS ’09, MS ’11, Ph.D. ’14) from LIBR and Professor Sandip Sen. He is joined on the project by a number of other TU students: Mahdi Moradi, who is completing a Ph.D. in computer science; as well as Kelly Cosgrove, Danielle Deville, McKenna Pierson and Timothy McDermott, all of whom are clinical psychology doctoral candidates.

Computer science student Bohan Xu wearing glasses and a white open-collar shirt
Bohan Xu

“Unlike diabetes or cancer, which can be diagnosed by medical tests,” remarked Xu, “most mental illnesses are determined by the psychological evaluation a physician or mental health professional carries out when they talk to you about your symptoms, thoughts, feelings and behavior patterns. Questionnaires are also sometimes used to help gather pertinent information. One goal at LIBR, however, is to find out a more reliable and precise way to identify mental disorders.”

Peering within the brain for answers

For the last few years as a TU/LIBR researcher, Xu’s work has focused on data analysis within the broad field of psychiatry; for example, the potential for diagnosing mental illness based on the concentrations of volatile organic compounds in exhaled breath and the relations between depression and C-reactive protein. Like his current undertaking, those projects entailed studying the relationship between subjects’ mental disorders/health status and different variables about their demographic information, bioassay tests and brain images.

Rayus Kuplicki smiling and wearing an open-collar blue shirt
Rayus Kuplicki

At present, Xu and his fellow investigators are using brain-structure image data (voxel-wise gray matter volume) from healthy controls to build a normative regression model that accounts for age and gender. This trained normative model then estimates a normal range of gray matter volume based on the healthy controls.

“The more that patients deviate from those healthy controls, the more likely their observed gray matter volumes will be outside the estimated ranges,” Xu explained. “Furthermore, we should be able to use these deviations to locate the potential areas of the brain that result in mental disorders.”

To date, Xu and his team have built the normative model. When verifying that model, however, they discovered something they could not readily understand. “The healthy controls are randomly divided into two groups,” Xu explained. “First, one group is used to build the normative model and the other group is used to validate the model; however, we observed a constant pattern of deviation when validating the model, which is not supposed to happen since the validation group are healthy controls as well.” The team’s present task, therefore, entails searching for an answer to that anomaly.


Learn more about the graduate studies pathways available through TU’s Tandy School of Computer Science.

TU, LIBR partnership at the forefront of mental health research 

The Laureate Institute for Brain Research opened its doors 10 years ago to address one of Oklahoma’s worst health factors, mental health. As scientists and researchers discover the ways in which a person’s mental health is directly linked to their overall physical condition, LIBR, in collaboration with The University of Tulsa, is using new neuroscience tools and resources to answer old questions about Oklahoma’s health crisis.

LIBR
Director Martin Paulus

LIBR was founded by the William K. Warren Foundation when then scientific director Wayne Drevets and five other colleagues from the National Institutes of Health in Washington, D.C., transferred to Tulsa in 2009. Today, the organization includes seven principal investigators (PI) who have tenure track or tenure appointments in the OU-TU School of Community Medicine. The goal then and now is to conduct neuroscience-based research that will improve the diagnosis or prognosis of individuals with mental illness. LIBR Director Martin Paulus said the institute strives to respect the dignity of each patient while leveraging leading talent and technology to discover the causes of and cures for disorders related to mood, anxiety, eating and memory. “We’re trying to use neuroscience to find better ways to develop mental health interventions,” he said.

T-1000

When Paulus joined the LIBR staff in 2014, he set a goal to create a large data set that would allow researchers to investigate mental health prognosis and diagnosis through behavioral processes, neuroimaging, neuromodulation, psychophysiology and bioassays. LIBR’s largest research project, the Tulsa 1000 (T-1000) study, began recruiting participants with mood, anxiety, eating and substance disorders to complete more than 24 hours of baseline testing. The 1,000th and final individual was enrolled in 2018 with the goal of determining whether neuroscience-based measures can be used to predict outcomes in patients with mental illness.
Data Analytics Lead Rayus Kuplicki (B.S. ’09, M.S. ’11, Ph.D. ’14) has been heavily involved in the technical setup and analysis of T-1000 since its inception. He said the standardization of this initial data collection at the institute is critical for quality research. “My work has made it possible to take raw data from thousands of participants and compute the quantifiable traits that we compare across groups,” he explained.

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TU graduate student Bart Ford

Data analysis of T-1000 participants continues and has generated more than 40 scientific papers, currently in progress. TU graduate students in the areas of psychology, engineering and biology contribute to T-1000 research through subsets of data analysis. Biology doctoral student Bart Ford is collaborating with LIBR PI Jonathan Savitz to examine the link between latent viruses and depression. “It is well established that early life stress and childhood trauma increase the risk of physical and mental health problems later in life, but the biological mechanisms by which this occurs are not well understood,” Ford said. “Dr. Savitz and I wondered if people who experience childhood abuse and neglect are perhaps more vulnerable to a common latent herpes virus called cytomegalovirus (CMV).”

The virus is usually harmless in otherwise healthy individuals but can weaken the immune system over time. Savitz and Ford studied a group of individuals with major depressive disorder and found that higher levels of self-reported childhood abuse and neglect were associated with a greater likelihood of testing positive for CMV. They then used the T-1000 cohort to replicate the study and discovered the same results with similar effects in size. The findings were published in the prestigious “JAMA Psychiatry” journal earlier this year.
“We interpret this to mean that the stress of abuse and neglect during development may render a person susceptible to a CMV infection,” Ford stated. “This could suggest CMV contributes to later life health problems that are often seen in survivors of abuse.”

According to Savitz and Ford, T-1000 is beneficial in understanding the biological causes, mechanisms and outcomes of mental health disorders, and consequently, can help identify therapeutic targets that will lead to treatments of the sources and after-effects of mental illness.

ABCD

In addition to T-1000, another primary project ongoing at LIBR is the Adolescent Brain Cognitive Development (ABCD) initiative, a study of more than 11,878 children, ages 9 and 10, at 21 different sites nationwide. LIBR researchers have conducted detailed assessments of 743 of the participants. Follow-up visits and scans will continue for 10 years to examine the course of wellness and mental illness during the second decade of life when mental health disorders tend to emerge. One of the first papers the data generated in 2018 was accepted to the journal “NeuroImage” and entitled “Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study.”

TU Tough

LIBR
Professor Robin Aupperle

Robin Aupperle is another LIBR PI and assistant professor of community medicine who uses neuroscience and psychological research to improve mental health and gain insight into the causes of anxiety, depression and trauma. She is interested in identifying factors that support resilience to college-related stress and strategies to optimize a student’s psychological well-being. Paulus said meta-analyses show one in three students will develop significant anxiety and depression during their first year of college — a major reason why some students choose to drop out of school. That’s why Aupperle developed the four-week TU Tough program that teaches the skills and mindset necessary for mental toughness to effectively respond to stressful or challenging situations. “This is the idea that our abilities are not set in stone — that we can learn, improve and adapt,” she explained. “Likewise, our ability to be resilient in the face of stress is not hard-wired but can be built and strengthened through practicing certain skills as we seek out and face challenges.”

Aupperle is a mentor to graduate students such as TU clinical psychology Ph.D. student Tim McDermott. His predoctoral training grant application to the National Institute of Mental Health received a qualifying score for funding, which will support McDermott’s research to study the brain circuits underlying people’s ability to manage their emotional reactions. Understanding the brain circuits involved in the processing and regulating of emotions could potentially inform future anxiety and depression treatments. “We will examine whether individuals can learn to regulate their prefrontal cortex activation during emotional processing in response to feedback about their brain activation during functional magnetic resonance imaging (fMRI) scanning,” he said.

As an assistant in the TU Tough project, McDermott has led lectures in TU Tough modules and supervised small group leaders during breakout discussions. He also has managed data processing and analysis for fMRI neuroimaging scans performed before and after TU Tough treatment. Prepared by lead author Elisabeth Akeman (BS ’15) as well as Aupperle and McDermott, a recently published manuscript in the journal “Depression and Anxiety” reports findings from the first two cohorts of TU Tough. The research shows students who complete the program (compared to those who did not) experienced lower rates of self-reported stress and depression symptoms throughout their first semester of college, particularly as measured during finals week. Aupperle explained TU Tough is a strong example of LIBR research that can improve the overall mental health of Oklahomans. “By taking measures to improve resilience to stress and mental health among TU students, we are benefiting the community in general,” she said. “Supporting the health and well-being of our students is the equivalent to supporting the health and well-being of our community.”

LIBR
TU graduate student McKenna Pierson

Other ongoing treatment studies at LIBR use behavioral activation or cognitive behavioral therapy (as part of ongoing studies in Aupperle’s lab) or novel intervention approaches such as the Float Clinic and Research Center led by PI Justin Feinstein. His studies use flotation as an intervention approach to mental illness, providing patients with a way to disconnect with the world and reconnect with signals firing in their bodies. His research was featured on the CBS This Morning’s “Pay Attention” series in 2018.

TU and LIBR’s unique partnership

Paulus is pleased with the substantial data collection, analyses and treatment LIBR has been able to provide to residents within its first decade. Although Oklahoma has a long way to go in improving its overall mental health, he explained LIBR intends to serve as the starting point for large sets of basic health information that support a biotech approach to mental health treatment and diagnosis. “We want to know how far we can develop, how advanced is our research and can we potentially establish startups that can be developed into effective treatments and commercial products,” Paulus said. In one example, LIBR Chief Technology Officer and physicist Jerzy Bodurka, created a way to use a real-time MRI to train a specific part of the brain to give instant feedback on if the training is effective. Paulus explained the training has reduced levels of depression in research participants, and Bodurka now is developing a turnkey system that will allow for scalability of the intervention at any site with MRI imaging capabilities.

LIBRBehind every principal or associate investigator stands a team of student researchers eager to get involved, serving as valuable assets for LIBR’s mission. When asked if TU depends on LIBR or if LIBR relies on TU, Paulus said the partnership is unique in that it is based on both concepts; while the institute focuses on quality research, TU is a generator of knowledge. “TU’s primary mission is teaching, but the goal of our faculty is to be top-level researchers,” Paulus said. “The research provides training opportunities for students, and we couldn’t train them if we didn’t have this relationship with TU.”

Close ties to LIBR are an incentive for students, especially those at the graduate level, to choose TU for advanced experience in their field of research. Students are invited to participate in rotations through the institute and contribute to the facility’s mental health mission. Although LIBR’s primary method of research is brain imaging, Paulus said there will be opportunities for additional biology-based research in the future as researchers pursue exciting advancements into the new decade.