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Revisiting the Network Effect: Analyzing Brain Structures to Treat Depression

Revisiting the Network Effect: Analyzing Brain Structures to Treat Depression

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For any patient diagnosed with depression for the first time, the recommended course of treatment is the same: a medication like a selective serotonin reuptake inhibitor (SSRI), an evidence based psychotherapy, or both. But there is a large group of people for whom these treatments simply won't work. That’s where Dr. Conor Liston and his team focus. In this episode from the Advances in Care archives, Dr. Liston speaks with former host Catherine Price about his work mapping the brain is helping doctors better understand where depression is impacting certain brain structures and what that means for the symptoms patients present. Dr. Liston’s work is focused on identifying how these symptoms impact patients' brains and using those findings to identify the best treatment approach.

Since this episode aired, Dr. Liston and his colleagues have continued to build on their research regarding a specific region of the brain called the “salience network.” They found that the salience network was considerably larger in people with clinical depression than in those without, and that people with larger salience networks in childhood were more likely to develop depression later in life. Their research points to an enlarged salience network as the first objective biomarker for diagnosing depression, which could revolutionize how depression is treated, and allow for intervention even before symptoms develop.

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