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Brain scans may help diagnose neurological, psychiatric disorders

Study shows that brain networks reliably track individuals over time

by Tamara BhandariApril 18, 2018

Caterina Gratton

There are no laboratory tests to diagnose migraines, depression, bipolar disorder and many other ailments of the brain. Doctors typically gauge such illnesses based on self-reported symptoms and behavior.

Now, a new study shows that a kind of brain scan called functional connectivity MRI (fcMRI) – which shows how brain regions interact – can reliably detect fundamental differences in how individual brains are wired. As such, the technique potentially could be used to distinguish healthy people from people with brain diseases or disorders, and provide insight into variations in cognitive ability and personality traits.

The findings are published April 18 in Neuron.

“This is a step toward realizing the clinical promise of functional connectivity MRI,” said senior author Steven Petersen, PhD, the James S. McDonnell Professor of Cognitive Neuroscience in Neurology and a professor of neurosurgery, of biomedical engineering, of psychological and brain sciences, and of radiology. “Before we can develop diagnostic tests based on fcMRI, we need to know what it is actually measuring. We show here that it’s not measuring what you’re thinking, but how your brain is organized. That opens the door to an entire new field of clinical testing.”

Petersen, postdoctoral researcher and first author Caterina Gratton, PhD, and colleagues analyzed a set of data collected by the Midnight Scan Club, a group of Washington University scientists who took turns undergoing myriad scans in an MRI machine late at night, when the demand for such machines and, consequently, the usage fees tend to be low.

The researchers analyzed data from more than 10 hours of fcMRI scans on each of nine people, collected in 10 separate one-hour sessions for each person. During the scans, each person performed tasks related to vision, memory, reading or motor skills, or rested quietly.

Functional MRI scans generate a dynamic map of the outer surface of the brain, showing changing hot spots of activity over time. To create a functional connectivity map, Gratton divided the brain’s surface into 333 regions and identified areas that became active and inactive in unison. She then constructed brain network maps for each individual, showing patterns of correlation between parts of the brain.

The sheer quantity of data available on each person allowed her to analyze how much an individual’s brain networks changed from day to day and with different mental tasks.

The answer? Not much.

“Brain networks captured by fcMRI are really about the individual,” Gratton said. “Whether someone’s watching a movie or thinking about her breakfast or moving her hands makes only a small difference. You can still identify that individual by her brain networks with a glance.”

The consistency of the fcMRI scans makes them a promising diagnostic tool. Although the technique’s potential to identify brain disorders and diseases was noted years ago, fcMRI-based diagnostic tests have yet to make their way into doctors’ offices. Progress has been stymied by confusion over whether the scans reflect fundamental, stable features of the brain, or if they change with every passing thought.

Further, the researchers found that the technique was powerful enough to distinguish people who were extraordinarily alike. All of the scanned brains belonged to young, healthy scientists and doctors.

“We need more data before we can know what is normal variation in the population at large,” Gratton said. “But the individual differences were really easy to pick up, even in a population that is really very similar. It’s exciting to think that these individual differences may be related to personality, cognitive ability, or psychiatric or neurological disease. Thanks to this work, we know we have a reliable tool to study these possibilities.”

Gratton C, Laumann TO, Nielsen AN, Greene DJ, Gordon EM, Gilmore AW, Nelson SM, Coalson RS, Snyder AZ, Schlaggar BL, Dosenbach NUF, Petersen SE. Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation. Neuron. April 18, 2018.

This work is supported by the National Institutes of Health (NIH), grant numbers F32NS092290, NS088590, TR000448, MH100872, MH104592, 1P30NS098577 to the Neuroimaging Informatics and Analysis Center, and HD087011 to the Intellectual and Developmental Disabilities Research Center at Washington University; Jacobs Foundation, grant number 2016121703; Child Neurology Foundation; McDonnell Center for Systems Neuroscience; Mallinckrodt Institute of Radiology, grant number 14-011; Hope Center for Neurological Disorders; American Psychological Association, dissertation research award; and Dart Neuroscience, LLC.

Washington University School of Medicine’s 1,300 faculty physicians also are the medical staff of Barnes-Jewish and St. Louis Children’s hospitals. The School of Medicine is a leader in medical research, teaching and patient care, ranking among the top 10 medical schools in the nation by U.S. News & World Report. Through its affiliations with Barnes-Jewish and St. Louis Children’s hospitals, the School of Medicine is linked to BJC HealthCare.

Tamara covers infectious diseases, molecular microbiology, neurology, neuroscience, surgery, the Institute for Informatics, the Division of Physician-Scientists and the MSTP program. She holds a double bachelor's degree in molecular biophysics & biochemistry and in sociology from Yale University, a master's in public health from the University of California, Berkeley, and a PhD in biomedical science from the University of California, San Diego. She joined WashU Medicine Marketing & Communications in 2016. She has received three Robert G. Fenley writing awards from the American Association of Medical Colleges: a bronze in 2020 for "Mind’s quality control center found in long-ignored brain area," a silver in 2022 for "Mice with hallucination-like behaviors reveal insight into psychotic illness," and a bronze in 2023 for "Race of people given Alzheimer’s blood tests may affect interpretation of results." Since January of 2024, Tamara has been writing under the name Tamara Schneider.