Immediate Clinical Impact?
Reached for comment, Shaheen Lakhan, MD, PhD, neurologist and researcher based in Miami, said this research “exemplifies the promising intersection of neurology and digital health, where advanced neuroimaging and data-driven approaches can transform mental health care into a more precise and individualized practice,” Dr. Lakhan said. “By identifying this brain network expansion, we’re unlocking new possibilities for precision medicine in mental health.”
Dr. Lakhan, who wasn’t involved in this research, said identifying the expansion of the frontostriatal salience network in individuals with depression opens new avenues for developing novel therapeutics.
“By targeting this network through neuromodulation techniques like deep brain stimulation, transcranial magnetic stimulation, and prescription digital therapeutics, treatments can be more precisely tailored to individual neurobiological profiles,” Dr. Lakhan said. “Additionally, this network expansion could serve as a biomarker for early detection, allowing for preventive strategies or personalized treatment plans, particularly for those at risk of developing depression.”
In addition, a greater understanding of the mechanisms driving salience network expansion offers potential for discovering new pharmacological targets, Dr. Lakhan noted.
“Drugs that modulate synaptic plasticity or network connectivity might be developed to reverse or mitigate these neural changes. The findings also support the use of longitudinal monitoring to predict and preempt symptom emergence, improving outcomes through timely intervention. This research paves the way for more personalized, precise, and proactive approaches in treating depression,” Dr. Lakhan concluded.
Also weighing in, Teddy Akiki, MD, with the Department of Psychiatry and Behavioral Sciences at Stanford Medicine in California, noted that the effect size of the frontostriatal salience network difference in depression is “remarkably larger than typically seen in neuroimaging studies of depression, which often describe subtle differences. The consistency across multiple datasets and across time at the individual level adds significant weight to these findings, suggesting that it is a trait marker rather than a state-dependent marker.”
“The observation that this expansion is present even before the onset of depressive symptoms in adolescence suggests its potential as a biomarker for depression risk,” Dr. Akiki said. “This approach could lead to earlier identification of at-risk individuals and potentially inform the development of targeted preventive interventions.”
He cautioned that it remains to be seen whether interventions targeting the salience network can effectively prevent or treat depression.
This research was supported in part by the National Institute of Mental Health, the National Institute on Drug Addiction, the Hope for Depression Research Foundation, and the Foundation for OCD Research. Dr. Lynch and a coauthor are listed as inventors for Cornell University patent applications on neuroimaging biomarkers for depression which are pending or in preparation. Dr. Liston has served as a scientific advisor or consultant to Compass Pathways PLC, Delix Therapeutics, and Brainify.AI. Dr. Lakhan and Dr. Akiki had no relevant disclosures.
A version of this article first appeared on Medscape.com.