Cargando…

Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis

The development of precision psychiatry is largely based on multi-module measurements from the molecular, cellular, and behavioral levels, which are integrated to assess neurocognitive performances and clinically observed psychopathology. Nevertheless, quantifying mental activities and functions acc...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, I-Ming, Chen, Yi-Ying, Liao, Shih-Cheng, Lin, Yu-Hsuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225607/
https://www.ncbi.nlm.nih.gov/pubmed/35743722
http://dx.doi.org/10.3390/jpm12060936
_version_ 1784733657229950976
author Chen, I-Ming
Chen, Yi-Ying
Liao, Shih-Cheng
Lin, Yu-Hsuan
author_facet Chen, I-Ming
Chen, Yi-Ying
Liao, Shih-Cheng
Lin, Yu-Hsuan
author_sort Chen, I-Ming
collection PubMed
description The development of precision psychiatry is largely based on multi-module measurements from the molecular, cellular, and behavioral levels, which are integrated to assess neurocognitive performances and clinically observed psychopathology. Nevertheless, quantifying mental activities and functions accurately and continuously has been a major difficulty within this field. This article reviews the latest efforts that utilize mobile apps to collect human–smartphone interaction data and contribute towards digital biomarkers of mental illnesses. The fundamental principles underlying a behavioral analysis with mobile apps were introduced, such as ways to monitor smartphone use under different circumstances and construct long-term patterns and trend changes. Examples were also provided to illustrate the potential applications of mobile apps that gain further insights into traditional research topics in occupational health and sleep medicine. We suggest that, with an optimized study design and analytical approach that accounts for technical challenges and ethical considerations, mobile apps will enhance the systemic understanding of mental illnesses.
format Online
Article
Text
id pubmed-9225607
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-92256072022-06-24 Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis Chen, I-Ming Chen, Yi-Ying Liao, Shih-Cheng Lin, Yu-Hsuan J Pers Med Review The development of precision psychiatry is largely based on multi-module measurements from the molecular, cellular, and behavioral levels, which are integrated to assess neurocognitive performances and clinically observed psychopathology. Nevertheless, quantifying mental activities and functions accurately and continuously has been a major difficulty within this field. This article reviews the latest efforts that utilize mobile apps to collect human–smartphone interaction data and contribute towards digital biomarkers of mental illnesses. The fundamental principles underlying a behavioral analysis with mobile apps were introduced, such as ways to monitor smartphone use under different circumstances and construct long-term patterns and trend changes. Examples were also provided to illustrate the potential applications of mobile apps that gain further insights into traditional research topics in occupational health and sleep medicine. We suggest that, with an optimized study design and analytical approach that accounts for technical challenges and ethical considerations, mobile apps will enhance the systemic understanding of mental illnesses. MDPI 2022-06-06 /pmc/articles/PMC9225607/ /pubmed/35743722 http://dx.doi.org/10.3390/jpm12060936 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Chen, I-Ming
Chen, Yi-Ying
Liao, Shih-Cheng
Lin, Yu-Hsuan
Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis
title Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis
title_full Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis
title_fullStr Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis
title_full_unstemmed Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis
title_short Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis
title_sort development of digital biomarkers of mental illness via mobile apps for personalized treatment and diagnosis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225607/
https://www.ncbi.nlm.nih.gov/pubmed/35743722
http://dx.doi.org/10.3390/jpm12060936
work_keys_str_mv AT cheniming developmentofdigitalbiomarkersofmentalillnessviamobileappsforpersonalizedtreatmentanddiagnosis
AT chenyiying developmentofdigitalbiomarkersofmentalillnessviamobileappsforpersonalizedtreatmentanddiagnosis
AT liaoshihcheng developmentofdigitalbiomarkersofmentalillnessviamobileappsforpersonalizedtreatmentanddiagnosis
AT linyuhsuan developmentofdigitalbiomarkersofmentalillnessviamobileappsforpersonalizedtreatmentanddiagnosis