Communications of the ACM
Brain Scan and Artificial Intelligence Could Help Predict Whether OCD Will Improve With Treatment
Researchers at the University of California, Los Angeles, have developed a way to use brain scans and machine learning to predict whether people with Obsessive-Compulsive Disorder will benefit from cognitive behavior therapy.
Credit: Walter Reed National Military Medical Center
Researchers at the University of California, Los Angeles (UCLA) have developed a way to use brain scans and machine learning to predict whether people with obsessive compulsive disorder (OCD) will benefit from cognitive behavior therapy.
This technique could help improve the therapy's success rate, enabling therapists to tailor treatment to each patient.
The researchers used a functional magnetic resonance imaging (fMRI) machine to scan the brains of 42 people with OCD, before and after four weeks of intensive, daily cognitive therapy. The team also assessed the severity of participants' symptoms before and after treatment using a scaled system.
The researchers fed the participants' fMRI data and symptom scores into a computer and used machine learning to determine which patients would respond to cognitive behavioral therapy with 70% accuracy.
"The algorithm performed far better than our own predictions based on their symptoms and other clinical information," says UCLA's Jamie Feusner.
From UCLA Newsroom
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