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看哪,弟兄和睦同居是何等的善,何等的美!這好比那貴重的油澆在亞倫的頭上,流到鬍鬚,又流到他的衣襟;又好比黑門的甘露降在錫安山;因為在那埵陪C和華所命定的福,就是永遠的生命。
詩篇 133:1-3


 
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Researchers use neural biomarker to predict efficacy of antidepressants
5/19/2020



BEIJING, May 19 (Xinhua) -- An international team of researchers have identified an electroencephalography (EEG) biomarker that can help predict the efficacy of antidepressants in treating depression, according to the Science and Technology Daily Tuesday.

Conducted by researchers from the South China University of Technology and their international collaborators, the research was published in the journal Nature Biotechnology.

Antidepressants are widely prescribed to relieve depression, but their efficacy varies from person to person and there is a lack of quantitative biomarkers to assist personalized treatment of mental diseases.

The research team proposed a machine-learning algorithm to analyze a large EEG dataset and discovered the EEG signature that can predict the efficacy of antidepressants. Then they validated the signature in multiple datasets and explored the related neural mechanism.

Wu Wei, one of the researchers, told the newspaper that EEG is a low-cost and accessible tool and the research finding is expected to improve treatment plans and promote the personalized treatment of mental diseases. 


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