NIMH » Neural Signature Identifies People Likely to Respond to Antidepressant Medication

NIMH » Neural Signature Identifies People Likely to Respond to Antidepressant Medication

Researchers have discovered a neural signature that predicts whether individuals with depression are likely to benefit from sertraline, a commonly prescribed antidepressant medication. The findings, published in Nature Biotechnology, suggest that new machine learning techniques can identify complex patterns in a person’s brain activity that correlate with meaningful clinical outcomes.

Neural Signature Identifies People Likely to Respond to Antidepressant Medication

NIH-funded research used machine learning algorithm to predict individual treatment response

February 10, 2020 • Press Release