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

Digital Health Reviews (1724) Mobile Health (mhealth) (3464) New Methods (1134) Reviews in Digital Mental Health (289) Wearable Devices and Sensors (1133) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Telepsychiatry (212) Methods and New Tools in Mental Health Research (558) Mobile Health in Psychiatry (527) mHealth for Data Collection and Research (1196)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46778, first published .
Digital Phenotyping for Monitoring Mental Disorders: Systematic Review

Digital Phenotyping for Monitoring Mental Disorders: Systematic Review

Digital Phenotyping for Monitoring Mental Disorders: Systematic Review

Authors of this article:

Pasquale Bufano1 Author Orcid Image ;   Marco Laurino1 Author Orcid Image ;   Sara Said2 Author Orcid Image ;   Alessandro Tognetti3 Author Orcid Image ;   Danilo Menicucci2 Author Orcid Image
Article Authors Cited by (66) Tweetations (5) Metrics

Journals

  1. Menicucci D, Bastiani L, Malloggi E, Denoth F, Gemignani A, Molinaro S. Impaired Well-Being and Insomnia as Residuals of Resolved Medical Conditions: Survey in the Italian Population. International Journal of Environmental Research and Public Health 2024;21(2):129 View
  2. Dominiak M, Gędek A, Antosik A, Mierzejewski P. Mobile health for mental health support: a survey of attitudes and concerns among mental health professionals in Poland over the period 2020-2023. Frontiers in Psychiatry 2024;15 View
  3. Choo M, Park D, Cho M, Bae S, Kim J, Han D. Exploring a multimodal approach for utilizing digital biomarkers for childhood mental health screening. Frontiers in Psychiatry 2024;15 View
  4. Zanoletti M, Bufano P, Bossi F, Di Rienzo F, Marinai C, Rho G, Vallati C, Carbonaro N, Greco A, Laurino M, Tognetti A. Combining Different Wearable Devices to Assess Gait Speed in Real-World Settings. Sensors 2024;24(10):3205 View
  5. O’Leary A, Lahey T, Lovato J, Loftness B, Douglas A, Skelton J, Cohen J, Copeland W, McGinnis R, McGinnis E. Using Wearable Digital Devices to Screen Children for Mental Health Conditions: Ethical Promises and Challenges. Sensors 2024;24(10):3214 View
  6. Kandola A, Edwards K, Muller M, Dührkoop B, Hein B, Straatman J, Hayes J. Digitally managing depression: A fully remote randomised attention-placebo controlled trial. DIGITAL HEALTH 2024;10 View
  7. Paolillo E, Casaletto K, Clark A, Taylor J, Heuer H, Wise A, Dhanam S, Sanderson-Cimino M, Saloner R, Kramer J, Kornak J, Kremers W, Forsberg L, Appleby B, Bayram E, Bozoki A, Brushaber D, Darby R, Day G, Dickerson B, Domoto-Reilly K, Elahi F, Fields J, Ghoshal N, Graff-Radford N, G H Hall M, Honig L, Huey E, Lapid M, Litvan I, Mackenzie I, Masdeu J, Mendez M, Mester C, Miyagawa T, Naasan G, Pascual B, Pressman P, Ramos E, Rankin K, Rexach J, Rojas J, VandeVrede L, Wong B, Wszolek Z, Boeve B, Rosen H, Boxer A, Staffaroni A. Examining Associations Between Smartphone Use and Clinical Severity in Frontotemporal Dementia: Proof-of-Concept Study. JMIR Aging 2024;7:e52831 View
  8. Valeri L, Cai X, Rahimi Eichi H, Liebenthal E, Rauch S, Ongur D, Schutt R, Dixon L, Onnela J, Baker J. Smartphone-based markers of social connectivity in schizophrenia and bipolar disorder. NPP—Digital Psychiatry and Neuroscience 2024;2(1) View
  9. Allen K, Rodriguez S, Hayani L, Rothenberger S, Moses-Kolko E, Simhan H, Krishnamurti T. Digital phenotyping of depression during pregnancy using self-report data. Journal of Affective Disorders 2024;364:231 View
  10. Paulino D, Netto A, Brito W, Paredes H. WebTraceSense—A Framework for the Visualization of User Log Interactions. Eng 2024;5(3):2206 View
  11. Cormier M, Orr M, Kaser A, MacDonald H, Chorney J, Meier S. Sleep well, worry less: A co-design study for the development of the SMILE app. DIGITAL HEALTH 2024;10 View
  12. Jilka S, Giacco D. Digital phenotyping: how it could change mental health care and why we should all keep up. Journal of Mental Health 2024;33(4):439 View
  13. Hong M, Kang R, Yang J, Rhee S, Lee H, Kim Y, Lee K, Kim H, Lee Y, Youn T, Kim S, Ahn Y. Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study. Journal of Medical Internet Research 2024;26:e65994 View
  14. Paraschiv E, Băjenaru L, Petrache C, Bica O, Nicolau D. AI-Driven Neuro-Monitoring: Advancing Schizophrenia Detection and Management Through Deep Learning and EEG Analysis. Future Internet 2024;16(11):424 View
  15. Machleid F, Jansky B, Wild V, Wiegmann C, Kaminski J, Schreiter S. Mobile Gesundheitstechnologien für eine gerechte Versorgung bei psychischen Erkrankungen. Nervenheilkunde 2024;43(12):688 View
  16. Ikäheimonen A, Luong N, Baryshnikov I, Darst R, Heikkilä R, Holmen J, Martikkala A, Riihimäki K, Saleva O, Isometsä E, Aledavood T. Predicting and Monitoring Symptoms in Patients Diagnosed With Depression Using Smartphone Data: Observational Study. Journal of Medical Internet Research 2024;26:e56874 View
  17. Sidani L, Nadar S, Tfaili J, El Rayes S, Sharara F, Elhage J, Fakhoury M. Digital Psychiatry: Opportunities, Challenges, and Future Directions. Journal of Psychiatric Practice 2024;30(6):400 View
  18. Rocchi G, Vocaj E, Moawad S, Antonucci A, Grigioni C, Giuffrida V, Bordini J. Optimizing personalized psychological well-being interventions through digital phenotyping: results from a randomized non-clinical trial. Frontiers in Psychology 2025;15 View
  19. Raggi M, Moore L, Mesin L. Inducing and Assessing Acute Mental Stress in Controlled Conditions: Topical Review and Guidelines for Effective Experimental Protocols. IEEE Access 2025;13:10022 View
  20. Zhang Y, Stewart C, Ranjan Y, Conde P, Sankesara H, Rashid Z, Sun S, Dobson R, Folarin A. Large-scale digital phenotyping: Identifying depression and anxiety indicators in a general UK population with over 10,000 participants. Journal of Affective Disorders 2025;375:412 View
  21. Ding X. Beyond the screen: The relationships between online activities and eating disorder risk. Eating Behaviors 2025;57:101963 View
  22. Linardon J, Chen K, Gajjar S, Eadara A, Wang S, Flathers M, Burns J, Torous J. Smartphone digital phenotyping in mental health disorders: A review of raw sensors utilized, machine learning processing pipelines, and derived behavioral features. Psychiatry Research 2025;348:116483 View
  23. Zhong R, Wu X, Chen J, Fang Y. Using Digital Phenotyping to Discriminate Unipolar Depression and Bipolar Disorder: Systematic Review. Journal of Medical Internet Research 2025;27:e72229 View
  24. Kerna N, Boulos A, Abreu M, Chigozie I, Fide-Nwoko F, Arube E, Eziechi E, Holets H, Pruitt K, Jomsky B, Chawla S. Current Applications of Artificial Intelligence in Psychiatry. Scientia. Technology, Science and Society 2025;2(4):125 View
  25. Beames J, Dabash O, Spoelma M, Shvetcov A, Zheng W, Slade A, Han J, Hoon L, Kupper J, Parker R, Mitchell B, Martin N, Newby J, Whitton A, Christensen H. Feasibility of Collecting and Linking Digital Phenotyping, Clinical, and Genetics Data for Mental Health Research: Pilot Observational Study. JMIR Formative Research 2025;9:e71377 View
  26. McConnon A, Nash A, Roberts J, Juni S, Derenbecker A, Shanahan P, Waters A. Incorporating AI Into Military Behavioral Health: A Narrative Review. Military Medicine 2025;190(9-10):e1870 View
  27. Jeong J, Jeon Y, Kim H, Yeom J, Shin Y, Kim S, Pack S, Lee H, Cheong T, Cho C. Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data. Scientific Reports 2025;15(1) View
  28. Tahmasbi F, Toni E, Javanmard Z, Kheradbin N, Nasiri S, Sadoughi F. An overview of reviews on digital health interventions during COVID- 19 era: insights and lessons for future pandemics. Archives of Public Health 2025;83(1) View
  29. Byun A, Lane E, Langholm C, Flathers M, Hall M, Torous J. Towards clinical subtypes in schizophrenia: integrating cognitive, functional, and digital phenotyping assessments. Molecular Psychiatry 2025;30(10):4641 View
  30. Wigman J, Ching A, Chung Y, Eichi H, Lane E, Langholm C, Vaidyam A, Byun A, Haidar A, Hartmann J, Nunez A, Dwyer D, Nasarudin A, Borders O, Scott I, Tamayo Z, Matneja P, Cho K, Addington J, Alameda L, Arango C, Breitborde N, Broome M, Cadenhead K, Calkins M, Chen E, Choi J, Conus P, Corcoran C, Cornblatt B, Diaz-Caneja C, Ellman L, Fusar-Poli P, Gaspar P, Gerber C, Glenthøj L, Horton L, Hui C, Kambeitz J, Kambeitz-Ilankovic L, Keshavan M, Kim S, Koutsouleris N, Langbein K, Mamah D, Mathalon D, Mittal V, Nordentoft M, Pearlson G, Perez J, Perkins D, Powers A, Rogers J, Sabb F, Schiffman J, Shah J, Silverstein S, Smesny S, Yassin W, Stone W, Strauss G, Thompson J, Upthegrove R, Verma S, Wang J, Wolf D, Wolff P, Rowland L, D’Alfonso S, Pasternak O, Bouix S, McGorry P, Kahn R, Kane J, Bearden C, Woods S, Shenton M, Nelson B, Baker J, Torous J. Digital health technologies in the accelerating medicines Partnership® Schizophrenia Program. Schizophrenia 2025;11(1) View
  31. Cho M, Park D, Choo M, Han D, Kim J. Impact of Digital Phenotypes and Question-Asking on Emotional Disorders in Adolescents: 4-Week Field Study. JMIR Human Factors 2025;12:e66536 View
  32. Kuang H, Zhu L, Yin H, Zhang Z, Jing B, Kuang J. The Impact of Individual Factors on Careless Responding Across Different Mental Disorder Screenings: Cross-Sectional Study. Journal of Medical Internet Research 2025;27:e70451 View
  33. Liu S, Bromberg D, Haucke M, Zhou X, Poole D, Bärnighausen T, Altice F. Loneliness among refugees: a neglected crisis in need of scalable innovation. The Lancet Regional Health - Europe 2025;54:101355 View
  34. Constant A. Digital personomics: precision and digital psychiatry beyond reductionism. Philosophical Psychology 2025:1 View
  35. Huang D, Emedom-Nnamdi P, Onnela J, Van Meter A, Hasan H. Design and feasibility of smartphone-based digital phenotyping for long-term mental health monitoring in adolescents. PLOS Digital Health 2025;4(7):e0000883 View
  36. Ringwald W, King G, Vize C, Wright A. Passive Smartphone Sensors for Detecting Psychopathology. JAMA Network Open 2025;8(7):e2519047 View
  37. Hammelrath L, Brose A, Heinrich M, Zagorscak P, Burchert S, Langhammer T, Knaevelsrud C. PREACT-digital: study protocol for a longitudinal, observational multicentre study on digital phenotypes of non-response to cognitive behavioural therapy for internalising disorders. BMJ Open 2025;15(7):e102392 View
  38. Wang P, Liu H, Shi Y, Liu A, Zhu Q, Albu I, Pacholec M, Cheng L, Sun X, Chi X. Harnessing Small‐Data Machine Learning for Transformative Mental Health Forecasting: Towards Precision Psychiatry With Personalised Digital Phenotyping. Med Research 2025;1(2):226 View
  39. Garcia B, Chua E, Brah H. The problem of atypicality in LLM-powered psychiatry. Journal of Medical Ethics 2025:jme-2025-110972 View
  40. Zakai J, Alharthi S. Harnessing Digital Phenotyping for Early Self-Detection of Psychological Distress. Healthcare 2025;13(16):2008 View
  41. Alam N, Surani M, Das C, Giacco D, Singh S, Jilka S. Challenges and standardisation strategies for sensor-based data collection for digital phenotyping. Communications Medicine 2025;5(1) View
  42. Ticona Quispe E, Vilchez Galarza N, Mamani Aracayo D, Porto Lopez M, Paz Huamaní A. IA y psicopatología transdiagnóstica: una revisión narrativa desde la psicología clínica basada en evidencia. Educational Regent Multidisciplinary Journal 2025;2(4):1 View
  43. Jiang B, Zhang Y, Xie Z, Wu Z, Ma Y, Zhang X, Feng Y. A novel non-contact screening tool based on Vibraimage technology for detecting depressive disorder in psychiatric outpatients: A diagnostic accuracy study. Journal of Affective Disorders 2026;392:120232 View
  44. Harlev D, Springer R, Koren O, Zorani S, Plotnik M, Wolpe N. Measuring Apathy Through Computational Lenses: Behavioral and Physiological Signatures of Engagement in Virtual Reality. The American Journal of Geriatric Psychiatry 2025 View
  45. Weingarden H, Holstein V, Jonathan G, Armey M, Onnela J, Wilhelm S. Low-Burden Detection of Clinical Worsening in Body Dysmorphic Disorder Using Smartphone Sensor and Demographic Data. Behavior Therapy 2025 View
  46. Snigurska U, Bjarnadottir R. Artificial Intelligence, Informatics, and Pain in Aging. Clinics in Geriatric Medicine 2026;42(1):75 View
  47. 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
  48. Constant A, Paquin V, Ackerman R, Depp C, Moore R, Harvey P, Pinkham A, Tsaneva-Atanasova K. Exploring the clinical utility of rhythmic digital markers for schizophrenia. PLOS Digital Health 2025;4(9):e0001010 View
  49. Yang H, Chang F, Zhu D, Fumie M, Liu Z, Zhang W, Cai J. Gamified interventions for schizophrenia rehabilitation: A systematic scoping review. Clinical Psychology Review 2025;122:102651 View
  50. 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
  51. Tan C, Koh J, Ang W, Tan X, Koh S, Lin W, Lee J, Chew H. State-of-the-art digital phenotyping methods for cardiometabolic risk prevention and management: a scoping review. International Journal of Medical Informatics 2026;206:106133 View
  52. Jung M. AI in Psychiatric and Mental Health Nursing: Research Expansion and Peer-Review Policy at JKPMHN. Journal of Korean Academy of psychiatric and Mental Health Nursing 2025;34(3):243 View
  53. Quiram N, Salam T, Sadjadpour F, Hosseinichimeh N, Jarvis L, Soghier L. A literature review of remote mental health screening: barriers, potential solutions, and tools. Frontiers in Digital Health 2025;7 View
  54. Garyfalli V, Kalisperakis E, Smrynis A, Lazaridi M, Thomas Karantinos T, Mantas A, Filntisis P, Efthymiou N, Zlatintsi A, Maragos P, Smyrnis N. From smartwatch to psychopathology: longitudinally recorded digital phenotypes relate to psychopathology dimensions in patients with psychotic spectrum disorders (Preprint). JMIR Mental Health 2025 View
  55. Félix G, Silva G, Meneses D, Lopez L. Efeito preditivo do fenótipo digital no diagnóstico do Transtorno do Espectro Autista: uma revisão sistemática. Saúde em Debate 2025;49(spe1) View
  56. Calvert E, Cipriani M, Dwyer B, Lisowski V, Mikkelson J, Chen K, Flathers M, Hau C, Xia W, Castillo J, Dhima A, Ryan S, Torous J. Social Media Detox and Youth Mental Health. JAMA Network Open 2025;8(11):e2545245 View
  57. Kostick-Quenet K, Hurley M, Ayaz S, Herrington J, Zampella C, Parrish-Morris J, Tunç B, Lázaro-Muñoz G, Blumenthal-Barby J, Storch E. Stakeholder Perspectives on Humanistic Implementation of Computer Perception in Healthcare: A Qualitative Study (Preprint). JMIR Mental Health 2025 View
  58. Kostick-Quenet K, Storch E. Toward Human-Centered Digital Health Interventions. Psychiatric Clinics of North America 2025 View
  59. Tani N, Takao Y, Noro S, Sakai K, Eguchi H, Ebara T. Development of an objective early detection model for depressive symptoms using voice emotion analysis technology: empirical prospective cohort study among call center operators. Journal of Occupational Health 2025;67(1) View

Books/Policy Documents

  1. Lalumera E. Epistemic Justice in Mental Healthcare. View
  2. Barakat M, Annan I, Sader A, Khoury R. Handbook of the Biology and Pathology of Mental Disorders. View
  3. Barakat M, Annan I, Sader A, Khoury R. Handbook of the Biology and Pathology of Mental Disorders. View

Conference Proceedings

  1. Tassnim R, Tawfic Ja'far R, Al-Tarawneh A. 2024 2nd International Conference on Cyber Resilience (ICCR). Analyzing the Challenges Facing Digital Mental Health (DMH) Between Aspiration and Reality View
  2. Agudelo Y, Espinosa M, Cukic M. 2024 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0 & IoT). Cloud aggregation of sensor data: an application on mood disorder analysis View
  3. Bogdanova K, Cila N, Kudina O, Bozzon A. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Digital Phenotyping as Felt Informatics: Designing AI-Based Mental Health Diagnostic Tools Through Aesthetics View
  4. Zhang T, Kojima M, D'Alfonso S. Proceedings of the 36th Australasian Conference on Human-Computer Interaction. AWARE Narrator and the Utilization of Large Language Models to Extract Behavioral Insights from Smartphone Sensing Data View