Researchers writing in the journal Nature Biotechnology have identified an electroencephalography (EEG) biomarker that can help predict the efficacy of antidepressants in treating depression, reported China Daily.
The team proposed a machine-learning algorithm to analyze a large EEG dataset and discovered the EEG signature that can predict the efficacy of antidepressants.
They then validated the signature in multiple datasets and explored the related neural mechanism.
Wu Wei, one of the researchers, noted that EEG is a low-cost and accessible tool, and the discovery is expected to improve treatment plans and promote the personalized treatment of mental illness.
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