This paper is in the following e-collection/theme issue:

Depression and Mood Disorders; Suicide Prevention (1392) Digital Biomarkers and Digital Phenotyping (198) Anxiety and Stress Disorders (1081) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1565) Posttraumatic Stress Disorder (PTSD) (116) Bipolar Disorders (58)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37225, first published .
Digital Phenotyping for Differential Diagnosis of Major Depressive Episode: Narrative Review

Digital Phenotyping for Differential Diagnosis of Major Depressive Episode: Narrative Review

Digital Phenotyping for Differential Diagnosis of Major Depressive Episode: Narrative Review

Authors of this article:

Eric Ettore1 Author Orcid Image ;   Philipp Müller2 Author Orcid Image ;   Jonas Hinze3 Author Orcid Image ;   Matthias Riemenschneider3 Author Orcid Image ;   Michel Benoit4 Author Orcid Image ;   Bruno Giordana4 Author Orcid Image ;   Danilo Postin5 Author Orcid Image ;   Rene Hurlemann5 Author Orcid Image ;   Amandine Lecomte6 Author Orcid Image ;   Michel Musiol6 Author Orcid Image ;   Hali Lindsay2 Author Orcid Image ;   Philippe Robert7 Author Orcid Image ;   Alexandra König8 Author Orcid Image
Article Authors Cited by (14) Tweetations (4) Metrics

Journals

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  2. Lagera P, Chan S, Yellowlees P. Asynchronous Technologies in Mental Health Care and Education. Current Treatment Options in Psychiatry 2023;10(2):59 View
  3. Oudin A, Maatoug R, Bourla A, Ferreri F, Bonnot O, Millet B, Schoeller F, Mouchabac S, Adrien V. Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health. Journal of Medical Internet Research 2023;25:e44502 View
  4. Lane E, D’Arcey J, Kidd S, Onyeaka H, Alon N, Joshi D, Torous J. Digital Phenotyping in Adults with Schizophrenia: A Narrative Review. Current Psychiatry Reports 2023;25(11):699 View
  5. Langholm C, Breitinger S, Gray L, Goes F, Walker A, Xiong A, Stopel C, Zandi P, Frye M, Torous J. Classifying and clustering mood disorder patients using smartphone data from a feasibility study. npj Digital Medicine 2023;6(1) View
  6. Lyu H, Huang H, He J, Zhu S, Hong W, Lai J, Gao T, Shao J, Zhu J, Li Y, Hu S. Task-state skin potential abnormalities can distinguish major depressive disorder and bipolar depression from healthy controls. Translational Psychiatry 2024;14(1) View
  7. de Azevedo Cardoso T, Kochhar S, Torous J, Morton E. Digital Tools to Facilitate the Detection and Treatment of Bipolar Disorder: Key Developments and Future Directions. JMIR Mental Health 2024;11:e58631 View
  8. Soleimani L, Ouyang Y, Cho S, Kia A, Beeri M, Lin H, Ravona‐Springer R, Ramsingh N, Liberman M, Grossman M, Nevler N. Speech markers of depression dimensions across cognitive status. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2024;16(3) View
  9. Siegel J, Cohen A, Szabo S, Tomioka S, Opler M, Kirkpatrick B, Hopkins S. Enrichment using speech latencies improves treatment effect size in a clinical trial of bipolar depression. Psychiatry Research 2024;340:116105 View
  10. Cohen A, Rodriguez Z, Opler M, Kirkpatrick B, Milanovic S, Piacentino D, Szabo S, Tomioka S, Ogirala A, Koblan K, Siegel J, Hopkins S. Evaluating speech latencies during structured psychiatric interviews as an automated objective measure of psychomotor slowing. Psychiatry Research 2024;340:116104 View
  11. Karas M, Huang D, Clement Z, Millner A, Kleiman E, Bentley K, Zuromski K, Fortgang R, DeMarco D, Haim A, Donovan A, Buonopane R, Bird S, Smoller J, Nock M, Onnela J. Smartphone Screen Time Characteristics in People With Suicidal Thoughts: Retrospective Observational Data Analysis Study. JMIR mHealth and uHealth 2024;12:e57439 View
  12. Menne F, Dörr F, Schräder J, Tröger J, Habel U, König A, Wagels L. The voice of depression: speech features as biomarkers for major depressive disorder. BMC Psychiatry 2024;24(1) View
  13. Singhal S, Cooke D, Villareal R, Stoddard J, Lin C, Dempsey A. Machine Learning for Mental Health: Applications, Challenges, and the Clinician's Role. Current Psychiatry Reports 2024 View
  14. Pagès E, Kontaxis S, Siddi S, Miguel M, de la Cámara C, Bernal M, Ribeiro T, Laguna P, Badiella L, Bailón R, Haro J, Aguiló J. Contribution of physiological dynamics in predicting major depressive disorder severity. Psychophysiology 2024 View