Researchers use neural biomarker to predict efficacy of antidepressants - (China Daily via NewsPoints Desk)

  • 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.

To read more NewsPoints articles, click here.