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Brain-wave pattern can identify people likely to respond to antidepressant, study finds

digital illustration of a person's side profile, showing the brain and brainwave readings in the background
Andrea Danti/Shutterstock.com
Feb 10 2020
Fellow, Research, Stanford

A new method of interpreting brain activity could potentially be used in clinics to help determine the best treatment options for depression, according to a study led by researchers at the Stanford School of Medicine.

Stanford researchers and their collaborators used electroencephalography, a tool for monitoring electrical activity in the brain, and an algorithm to identify a brain-wave signature in individuals with depression who will most likely respond to sertraline, an antidepressant marketed as Zoloft.

The paper co-authors include Molly Lucas, a 2016 Stanford Graduate Fellow, and Camarin Rolle, a 2015 SGF and 2017-18 SPICE funding recipient.

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