Join the club for FREE to access the whole archive and other member benefits.

AI predicts the likelihood of finding antidepressant helpful

If developed, new research could help to improve the quality of mental disease treatments

10-Feb-2020

Key points from article :

EEG recordings showed the brainwaves of 228 people aged between 18 and 65 with depression.

EEG shows specific patterns of brain activity that can be used to train a machine-learning algorithm.

Half the participants were given sertraline, while the rest got a placebo.

Participants’ mood monitored over eight weeks using a depression rating scale.

Machine-learning algorithm was able to identify a specific pattern of brain activity linked with a treatment.

Mentioned in this article:

Click on resource name for more details.

Alto Neuroscience

Developing a new generation of brain biomarker-based diagnostic tests and personalized treatments

Amit Etkin

Professor of Psychiatry and Behavioral Sciences at Stanford University

Stanford University

Private research university, one of the world's leading research and teaching institutions

Topics mentioned on this page:
AI in Healthcare, Depression