New Imaging Biomarkers That Predict Antidepressant Response Identified - Neuroscience News
Summary: Combining neuroimaging and artificial intelligence, researchers identified novel brain signatures unique to the response of each antidepressant. Research led by UT Southwestern has identified MRI brain imaging biomarkers that bring new levels of precision for prescribing the most effective antidepressants. The outcome predictive models were developed in part using data from a large multi-center National Institute of Mental Health-funded study and published in the journal Biological Psychiatry. The findings provide strong evidence that the current trial-and-error approach used in clinical practice for the selection of the right antidepressant can be replaced with this new precision medicine approach. "This is a significant advance. It can be and should be used immediately," said Madhukar Trivedi, M.D., Professor of Clinical Psychiatry, and Director of the Center for Depression Research and Clinical Care, one of the pillars of the Peter O'Donnell Jr. Brain Institute.
Nov-9-2021, 23:27:13 GMT
- Country:
- North America > United States
- Massachusetts (0.05)
- Michigan (0.05)
- New York (0.05)
- North America > United States
- Genre:
- Research Report > Experimental Study (1.00)
- Industry:
- Health & Medicine
- Diagnostic Medicine > Imaging (1.00)
- Pharmaceuticals & Biotechnology (1.00)
- Therapeutic Area
- Neurology (1.00)
- Psychiatry/Psychology (1.00)
- Health & Medicine
- Technology: