by University of Rochester Medical Center

The four sensory networks of the brain network partition. The partition comprises four sensory networks, with the somatomotor network encompassing the somatosensory cortex. The thalamus contains parcels of each sensory network. Credit: Molecular Psychiatry (2024). DOI: 10.1038/s41380-024-02767-3

The current standard of care for psychosis is a diagnostic interview, but what if it could be diagnosed before the first symptom emerged? Researchers at the Del Monte Institute for Neuroscience at the University of Rochester are pointing toward a potential biomarker in the brain that could lead to more timely interventions and personalized care.

“Establishing such biomarkers could provide a key step in changing how we care for, treat, and offer interventions to people with psychosis,” said Brian Keane, Ph.D., assistant professor of Psychiatry, Center for Visual Science, and Neuroscience at the University of Rochester Medical Center.

Keane recently co-authored an article in Molecular Psychiatry that identifies how MRI scans could reveal brain differences in people with psychosis.

“Aside from potentially predicting future psychosis onset, biomarkers could also help stratify patients into clinically meaningful subgroups and suggest new options for treatment or intervention,” Keane said.

Using data collected by the Human Connectome Early Psychosis Project, researchers looked at MRI scans of 159 participants. These included 105 who had developed a psychotic disorder up to five years prior to testing. In the brains of participants with psychosis, researchers found that sensory regions in the cortex were more weakly connected to each other and more strongly connected to the thalamus, the brain’s information relay station.

These differences were confined to the somatomotor network, which processes bodily movement and sensations, and a visual network, which generates representations of objects, faces, and complex features. Combining the dysconnectivity patterns across these two networks allowed the researchers to create a “somato-visual” biomarker.

Previous research has suggested that abnormal brain connectivity exists prominently in the sensory networks of people with schizophrenia, but it remained unclear which networks were most responsible or whether dysconnectivity could be explained by other illness factors, such as antipsychotic use, anxiety, or stress.

“What makes this biomarker unique is its large effect size, its robustness to over a dozen common confounds, and its high reliability across multiple scans. A single five-minute scan could potentially improve our ability to predict which at-risk individuals will transition to a psychotic disorder, which in turn could allow for more timely treatments or interventions,” Keane said. “It also gives us a place to keep looking. An important next step will be to determine if the somato-visual biomarker emerges before or as psychosis begins.”

Additional authors include Yonatan Abrham, Boyang Hu, and Brent Johnson of the University of Rochester; Carrisa Cocuzza of Yale University; and Michael Cole of Rutgers University.

More information: Brian P. Keane et al, Functional dysconnectivity of visual and somatomotor networks yields a simple and robust biomarker for psychosis, Molecular Psychiatry (2024). DOI: 10.1038/s41380-024-02767-3

Journal information:Molecular Psychiatry

Provided by University of Rochester Medical Center

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