Why Neuroimaging Cannot Pinpoint Causes of Psychiatric Disorders

Summary: Neuroimaging offers significant promise for linking specific patterns of brain activity to mental health conditions, but a new Yale-led study highlights that more work is needed before brain scans can reliably predict psychiatric diagnoses such as post-traumatic stress disorder (PTSD).

Source: Yale

Neuroimaging technologies have generated excitement for their potential to reveal biological signatures of mental health disorders, moving diagnosis beyond symptom checklists toward objective biomarkers. A new study led by Yale researchers, however, finds that translating brain imaging results into reliable clinical markers for disorders like PTSD remains challenging.

The study’s results were published Jan. 11 in the American Journal of Psychiatry.

Over the past decade, the National Institutes of Mental Health launched a large research effort to identify brain-based biomarkers that could explain the biological roots of psychiatric conditions. Current clinical diagnoses typically rely on clinicians evaluating clusters of overlapping symptoms reported by patients. The goal of the biomarker effort is to identify underlying brain mechanisms that might more precisely classify and predict mental health outcomes.

“The idea is to move beyond classifying disease by symptoms and toward understanding underlying biological causes,” said Ilan Harpaz-Rotem, professor of psychiatry and psychology at Yale and senior author of the study.

To test how well earlier findings generalize, the Yale team attempted to replicate a prior nationwide neuroimaging study conducted by investigators at Emory and Harvard. The earlier work had identified clusters of brain activity among patients who arrived at emergency departments in the United States after traumatic events. In that prior study, measurements of brain activity during simple tasks that probe responses to threats and rewards revealed a pattern of high reactivity to both threat and reward signals that appeared to predict more severe PTSD symptoms over time.

This shows a brain and a question mark
While they did identify the different clusters of brain activity observed in the earlier study, they found no association with prospective PTSD symptoms. Image is in the public domain

Using neuroimaging data collected from recent trauma survivors in Israel, the Yale researchers were able to identify brain activity clusters similar to those reported in the prior study. However, they did not find a reliable association between those clusters and later development of PTSD symptoms in their cohort.

“That is not to say one set of data is right and the other is wrong,” said Ziv Ben-Zion, a postdoctoral associate at Yale School of Medicine and corresponding author of the paper. “Rather, it highlights that fundamental methodological and scientific work remains before we can build models that reliably generalize across different populations and study protocols.”

The discrepancy underscores common challenges in psychiatric neuroimaging: heterogeneity in patient populations, differences in scanning protocols and task designs, variation in timing of assessments after trauma, and statistical approaches that may not transfer across sites. These factors can all affect whether a brain-based pattern identified in one dataset will replicate in another.

To address these challenges, Yale researchers are collaborating with the original Emory-Harvard team to merge datasets and harmonize analysis methods. Combining data across studies can increase statistical power and help identify whether there are consistent underlying neural patterns associated with different responses to trauma.

“It took about 100 years to develop the current classifications of mental illness, and we have only been exploring biomarker-based refinements for around a decade,” Harpaz-Rotem said. “We still have a long way to go.”

Moving the field forward will require larger, more diverse samples, standardized imaging and behavioral protocols, careful longitudinal follow-up, and transparent sharing of methods and data. Such steps can improve the reliability and generalizability of neuroimaging findings and help determine whether specific patterns of brain activity can serve as clinically useful biomarkers for psychiatric disorders.

About this neuroimaging and mental health research news

Author: Bess Connolly
Source: Yale
Contact: Bess Connolly – Yale
Image: The image is in the public domain

Original Research: The findings will appear in American Journal of Psychiatry