Remote Digital Measurement of Facial and Vocal Markers of Major Depressive Disorder Severity and Treatment Response: A Pilot Study

Frontiers in Digital Health

Allison Aghjayan¹  Miriam Evans¹  Serena Marecki¹  Anzar Abbas²  Vijay Yadav²  Vidya Koesmahargyo²  Colin Sauder³  Isaac R. Galatzer-Levy⁴ 

[1] Adams Clinical, Watertown, MA, United States;AiCure, New York, NY, United States;Karuna Therapeutics, Boston, MA, United States;Psychiatry, New York University School of Medicine, New York, NY, United States;

关键词: major depressive disorder;    Montgomery-Åsberg Depression Rating Scale;    machine learning;    computer vision;    digital biomarker;    antidepressant treatment;   

DOI  :  10.3389/fdgth.2021.610006

来源: DOAJ

【 摘 要 】

Objectives: Multiple machine learning-based visual and auditory digital markers have demonstrated associations between major depressive disorder (MDD) status and severity. The current study examines if such measurements can quantify response to antidepressant treatment (ADT) with selective serotonin reuptake inhibitors (SSRIs) and serotonin–norepinephrine uptake inhibitors (SNRIs).Methods: Visual and auditory markers were acquired through an automated smartphone task that measures facial, vocal, and head movement characteristics across 4 weeks of treatment (with time points at baseline, 2 weeks, and 4 weeks) on ADT (n = 18). MDD diagnosis was confirmed using the Mini-International Neuropsychiatric Interview (MINI), and the Montgomery–Åsberg Depression Rating Scale (MADRS) was collected concordantly to assess changes in MDD severity.Results: Patient responses to ADT demonstrated clinically and statistically significant changes in the MADRS [F(2, 34) = 51.62, p < 0.0001]. Additionally, patients demonstrated significant increases in multiple digital markers including facial expressivity, head movement, and amount of speech. Finally, patients demonstrated significantly decreased frequency of fear and anger facial expressions.Conclusion: Digital markers associated with MDD demonstrate validity as measures of treatment response.

【 授权许可】

Unknown