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Developing an electroencephalography-based model for predicting response to antidepressant medication

09.28.23 | JAMA Network

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About The Study: The findings of this study suggest that the use of electroencephalography can provide a reliable method for predicting response to specific antidepressant medications and may help match patients with depression to optimized treatment.

Authors: Faranak Farzan, Ph.D., of Simon Fraser University in Surrey, British Columbia, Canada, is the corresponding author.

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamanetworkopen.2023.36094)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time http://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2023.36094?utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_term=092823

JAMA Network Open

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Jim Michalski
JAMA Network
Jim.Michalski@jamanetwork.org

How to Cite This Article

APA:
JAMA Network. (2023, September 28). Developing an electroencephalography-based model for predicting response to antidepressant medication. Brightsurf News. https://www.brightsurf.com/news/LRDX2MM8/developing-an-electroencephalography-based-model-for-predicting-response-to-antidepressant-medication.html
MLA:
"Developing an electroencephalography-based model for predicting response to antidepressant medication." Brightsurf News, Sep. 28 2023, https://www.brightsurf.com/news/LRDX2MM8/developing-an-electroencephalography-based-model-for-predicting-response-to-antidepressant-medication.html.