NYU Researchers Develop Siri-Like Application to Identify PTSD by Speech Analysis

MedicalResearch.com Interview with:

Charles R. Marmar, MDThe Lucius N. Littauer Professor Chair of the Department of PsychiatryNYU Langone School of Medicine

Dr. Marmar

Charles R. Marmar, MD
The Lucius N. Littauer Professor
Chair of the Department of Psychiatry
NYU Langone School of Medicine

MedicalResearch.com: What is the background for this study? What are the main findings? 

Response: Several studies in recent years have attempted to identify biological markers that distinguish individuals with PTSD, with candidate markers including changes in brain cell networks, genetics, neurochemistry, immune functioning, and psychophysiology. Despite such advances, the use of biomarkers for diagnosing PTSD remained elusive going into the current study, and no physical marker was applied in the clinic.

Our study is the first to compare speech in an age and gender matched sample of a military population with and without PTSD, in which PTSD was assessed by a clinician, and in which all patients did not have a major depressive disorder. Because measuring voice qualities in non-invasive, inexpensive and might be done over the phone, many labs have sought to design speech-based diagnostic tools 

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