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A narrative review of digital biomarkers in the management of major depressive disorder and treatment-resistant forms

Authors
 Annarita Vignapiano  ;  Francesco Monaco  ;  Claudio Pagano  ;  Martina Piacente  ;  Federica Farina  ;  Gianvito Petrillo  ;  Raffaella Sica  ;  Alessandra Marenna  ;  Jae Il Shin  ;  Marco Solmi  ;  Giulio Corrivetti 
Citation
 FRONTIERS IN PSYCHIATRY, Vol.14 : 1321345, 2023-11 
Journal Title
FRONTIERS IN PSYCHIATRY
Issue Date
2023-11
Keywords
artificial intelligence ; digital biomarkers ; major depressive disorder ; mental healthcare ; personalized treatment ; wearable devices
Abstract
Introduction: Depression is the leading cause of worldwide disability, until now only 3% of patients with major depressive disorder (MDD) experiences full recovery or remission. Different studies have tried to better understand MDD pathophysiology and its resistant forms (TRD), focusing on the identification of candidate biomarkers that would be able to reflect the patients’ state and the effects of therapy. Development of digital technologies can generate useful digital biomarkers in a real-world setting. This review aims to focus on the use of digital technologies measuring symptom severity and predicting treatment outcomes for individuals with mood disorders. Methods: Two databases (PubMed and APA PsycINFO) were searched to retrieve papers published from January 1, 2013, to July 30, 2023, on the use of digital devices in persons with MDD. All papers had to meet specific inclusion criteria, which resulted in the inclusion of 12 articles. Results: Research on digital biomarkers confronts four core aspects: (I) predicting diagnostic status, (II) assessing symptom severity and progression, (III) identifying treatment response and (IV) monitoring real-word and ecological validity. Different wearable technologies have been applied to collect physiological, activity/sleep, or subjective data to explore their relationships with depression. Discussion: Depression’s stable rates and high relapse risk necessitate innovative approaches. Wearable devices hold promise for continuous monitoring and data collection in real world setting. Conclusion: More studies are needed to translate these digital biomarkers into actionable interventions to improve depression diagnosis, monitoring and management. Future challenges will be the applications of wearable devices routinely in personalized medicine. Copyright © 2023 Vignapiano, Monaco, Pagano, Piacente, Farina, Petrillo, Sica, Marenna, Shin, Solmi and Corrivetti.
Files in This Item:
T202400332.pdf Download
DOI
10.3389/fpsyt.2023.1321345
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pediatrics (소아과학교실) > 1. Journal Papers
Yonsei Authors
Shin, Jae Il(신재일) ORCID logo https://orcid.org/0000-0003-2326-1820
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/197894
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