TY  - JOUR
PY  - 2021//
TI  - Remote digital measurement of facial and vocal markers of major depressive disorder severity and treatment response: a pilot study
JO  - Frontiers in digital health
A1  - Abbas, Anzar
A1  - Sauder, Colin
A1  - Yadav, Vijay
A1  - Koesmahargyo, Vidya
A1  - Aghjayan, Allison
A1  - Marecki, Serena
A1  - Evans, Miriam
A1  - Galatzer-Levy, Isaac R.
SP  - e610006
EP  - e610006
VL  - 3
IS  - 
N2  - 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). <br><br>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. <br><br>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. <br><br>CONCLUSION: Digital markers associated with MDD demonstrate validity as measures of treatment response.<p />  <p>Language: en</p>
LA  - en
SN  - 2673-253X
UR  - http://dx.doi.org/10.3389/fdgth.2021.610006
ID  - ref1
ER  -