A national trial set up in 2011 by the Southwestern UT Medical Center to better understand mood disorders after what scientists are trying to find on the main outcome of the project: a computer that can accurately predict whether antidepressants will work based the patient’s brain activity.
The study included more than 300 participants with randomly selected depression for the most common placebo or antidepressant class.
Researchers used an electrophilogram, or EEG, to measure electrical activity in the cortex of the participants before they started treatment.
The team then developed a machine learning algorithm to analyze and use the EEG data to predict which patients would benefit from the medication within 2 months.
Not only did the artificial intelligence predict results accurately, additional research suggested that suspected patients to respond to antidepressants were likely to improve with other interventions such as psychotherapy or brain stimulation.
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