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

Depression and Mood Disorders; Suicide Prevention (1783) Clinical Informatics (1471) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2319) Digital Biomarkers and Digital Phenotyping (335)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63622, first published .
Multimodal Digital Phenotyping Study in Patients With Major Depressive Episodes and Healthy Controls (Mobile Monitoring of Mood): Observational Longitudinal Study

Multimodal Digital Phenotyping Study in Patients With Major Depressive Episodes and Healthy Controls (Mobile Monitoring of Mood): Observational Longitudinal Study

Multimodal Digital Phenotyping Study in Patients With Major Depressive Episodes and Healthy Controls (Mobile Monitoring of Mood): Observational Longitudinal Study

Authors of this article:

Talayeh Aledavood1 Author Orcid Image ;   Nguyen Luong1 Author Orcid Image ;   Ilya Baryshnikov2, 3 Author Orcid Image ;   Richard Darst4 Author Orcid Image ;   Roope Heikkilä5 Author Orcid Image ;   Joel Holmén6 Author Orcid Image ;   Arsi Ikäheimonen1 Author Orcid Image ;   Annasofia Martikkala2, 3 Author Orcid Image ;   Kirsi Riihimäki3, 7 Author Orcid Image ;   Outi Saleva3 Author Orcid Image ;   Ana Maria Triana1 Author Orcid Image ;   Erkki Isometsä2, 3 Author Orcid Image
Article Authors Cited by (12) Tweetations Metrics

Journals

  1. Jung H, Kim D, Lee I, Kim O, Lee S, Lee S, Chung U, Kim J, Kim S, Kim J, Shin A, Lee J. Key Features of Digital Phenotyping for Monitoring Mental Disorders: Systematic Review. Journal of Medical Internet Research 2025;27:e77331 View
  2. Chen K, Torous J, Cheong J. The Current State/ Trends in Digital Phenotyping for Mental Health Research and Care. Psychiatric Clinics of North America 2025 View
  3. Mahir A, Luong N, Baryshnikov I, Martikkala A, Isometsä E, Aledavood T. Multimodal Sleep Measurement and Alignment Analysis in Outpatients With Major Depressive Episode: Observational Study. JMIR mHealth and uHealth 2025;13:e82465 View
  4. Ko S, Oh K, Won U, Oh J, Kwon N, Park H, Ji Y, Kim S, Moon Y, Park N, Kim D, Yang E, Na K, Kim Y, Lee Y, Woo H. Development and validation of a multimodal data collection system for adolescent mental health management. DIGITAL HEALTH 2026;12 View
  5. Mahmood R, David A, Hu D, Alshurafa N, Haux L, Hester J, Kiselica A, Liu S, Qiu C, Wu C, Beattie Z, Kaye J, Huang D. Digital Phenotyping via Passive Network Traffic Monitoring: Prospective Observational Study in University Students. JMIR Formative Research 2026;10:e84618 View
  6. Himmerich H, Keeler J, King J, Ehrlich S, Kaufmann L, Bulik C, Cohen-Woods S, Wade T, Steiger H, Booij L, Monteleone P, Cascino G, Monteleone A, Cuntz U, Voderholzer U, Tessema S, Lewis Y, Sjögren M, Hebebrand J, Seitz J, Tyszkiewicz-Nwafor M, Karpenko O, Mutwalli H, Fetissov S, Mack I, Dhopatkar N, Mörkl S, Kan C, Uribe M, Yoshiuchi K, Abuobeid N, Kapogiannis D, Stein D, Bektas S, Müller D, Gorwood P, Duriez P, Montcel C, Paszyńska E, McElroy S, Wranik W, Fernandez-Aranda F, Mehler P, Papežová H, Roubalová R, Procházková P, Morris R, Lewczuk P, Hiemke C, Berk M, Karwautz A, Treasure J, Kasper S. World Federation of Societies of Biological Psychiatry (WFSBP) consensus statement on candidate biomarkers for anorexia nervosa. The World Journal of Biological Psychiatry 2026;27(4):257 View
  7. Párraga Vico M, Morcillo Martínez J, Gaitán-Guerrero J, Herreros Bódalo J, Espinilla Estévez M, Cuevas Martínez J. Sensor-Based Technologies for the Detection of Unwanted Loneliness in Older Adults: A Systematic Review. Sensors 2026;26(7):2028 View
  8. Lee H, Kang S, Lee S. The Role of Digital Biomarkers in Physiological Signal-Based Depression Assessment: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2026;28:e76432 View
  9. Ikäheimonen A, Luong N, Baryshnikov I, John T, Martikkala A, Isometsä E, Aledavood T. Variability in self-reported depression symptomology and associated behavioral markers in digital phenotyping. Scientific Reports 2026 View
  10. Jacobson S, Carling H, Sarraf L, Draper E, Jacobson S, St-James M, Misiasz C, Williamson S, Thibaudeau E, Sauvé G, Lavigne K, Raucher-Chéné D. Digital Tools for Assessing Bipolar Disorder: A Scoping Review of the Current Landscape. Neuroscience Applied 2026:107004 View
  11. Kovacs B, Schweitzer S, Papadopoulos F, Bauer A, Skalkidou A, Tu H. A review of the application of digital phenotyping in predicting peripartum depressive symptoms. npj Digital Medicine 2026;9(1) View

Conference Proceedings

  1. Kwon H, Aledavood T, Adler D, Xu X, Salekin A, Mishra V, Bae S, Sano A, Abdullah S, Zhao Y, Kalanadhabhatta M, Zhang H, Murnane E, Choudhury T, Bardram J, Musolesi M, King Z, Torkamaan H, Bedmutha M, Viranda T. Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing. 10$th$ International Workshop on Mental Health and Well-being: From Research to Practice in Mental Healthcare View