Mobile devices for the remote acquisition of physiological and behavioral biomarkers in psychiatric clinical research

Zachary Adams, Erin A. McClure, Kevin M. Gray, Carla Kmett Danielson, Frank A. Treiber, Kenneth J. Ruggiero

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Psychiatric disorders are linked to a variety of biological, psychological, and contextual causes and consequences. Laboratory studies have elucidated the importance of several key physiological and behavioral biomarkers in the study of psychiatric disorders, but much less is known about the role of these biomarkers in naturalistic settings. These gaps are largely driven by methodological barriers to assessing biomarker data rapidly, reliably, and frequently outside the clinic or laboratory. Mobile health (mHealth) tools offer new opportunities to study relevant biomarkers in concert with other types of data (e.g., self-reports, global positioning system data). This review provides an overview on the state of this emerging field and describes examples from the literature where mHealth tools have been used to measure a wide array of biomarkers in the context of psychiatric functioning (e.g., psychological stress, anxiety, autism, substance use). We also outline advantages and special considerations for incorporating mHealth tools for remote biomarker measurement into studies of psychiatric illness and treatment and identify several specific opportunities for expanding this promising methodology. Integrating mHealth tools into this area may dramatically improve psychiatric science and facilitate highly personalized clinical care of psychiatric disorders.

Original languageEnglish (US)
Pages (from-to)1-14
Number of pages14
JournalJournal of Psychiatric Research
Volume85
DOIs
StatePublished - Feb 1 2017

Fingerprint

Psychiatry
Telemedicine
Biomarkers
Equipment and Supplies
Research
Geographic Information Systems
Autistic Disorder
Psychological Stress
Self Report
Mobile Devices
Clinical Research
Anxiety
Psychology
Health
Psychological

Keywords

  • Biomarkers
  • Biosensors
  • Clinical research
  • Ecological momentary assessment
  • Mobile health
  • Technology

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Psychiatry and Mental health
  • Biological Psychiatry

Cite this

Mobile devices for the remote acquisition of physiological and behavioral biomarkers in psychiatric clinical research. / Adams, Zachary; McClure, Erin A.; Gray, Kevin M.; Danielson, Carla Kmett; Treiber, Frank A.; Ruggiero, Kenneth J.

In: Journal of Psychiatric Research, Vol. 85, 01.02.2017, p. 1-14.

Research output: Contribution to journalArticle

Adams, Zachary ; McClure, Erin A. ; Gray, Kevin M. ; Danielson, Carla Kmett ; Treiber, Frank A. ; Ruggiero, Kenneth J. / Mobile devices for the remote acquisition of physiological and behavioral biomarkers in psychiatric clinical research. In: Journal of Psychiatric Research. 2017 ; Vol. 85. pp. 1-14.
@article{fd5a598d9bb24430842b67e4a425f399,
title = "Mobile devices for the remote acquisition of physiological and behavioral biomarkers in psychiatric clinical research",
abstract = "Psychiatric disorders are linked to a variety of biological, psychological, and contextual causes and consequences. Laboratory studies have elucidated the importance of several key physiological and behavioral biomarkers in the study of psychiatric disorders, but much less is known about the role of these biomarkers in naturalistic settings. These gaps are largely driven by methodological barriers to assessing biomarker data rapidly, reliably, and frequently outside the clinic or laboratory. Mobile health (mHealth) tools offer new opportunities to study relevant biomarkers in concert with other types of data (e.g., self-reports, global positioning system data). This review provides an overview on the state of this emerging field and describes examples from the literature where mHealth tools have been used to measure a wide array of biomarkers in the context of psychiatric functioning (e.g., psychological stress, anxiety, autism, substance use). We also outline advantages and special considerations for incorporating mHealth tools for remote biomarker measurement into studies of psychiatric illness and treatment and identify several specific opportunities for expanding this promising methodology. Integrating mHealth tools into this area may dramatically improve psychiatric science and facilitate highly personalized clinical care of psychiatric disorders.",
keywords = "Biomarkers, Biosensors, Clinical research, Ecological momentary assessment, Mobile health, Technology",
author = "Zachary Adams and McClure, {Erin A.} and Gray, {Kevin M.} and Danielson, {Carla Kmett} and Treiber, {Frank A.} and Ruggiero, {Kenneth J.}",
year = "2017",
month = "2",
day = "1",
doi = "10.1016/j.jpsychires.2016.10.019",
language = "English (US)",
volume = "85",
pages = "1--14",
journal = "Journal of Psychiatric Research",
issn = "0022-3956",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Mobile devices for the remote acquisition of physiological and behavioral biomarkers in psychiatric clinical research

AU - Adams, Zachary

AU - McClure, Erin A.

AU - Gray, Kevin M.

AU - Danielson, Carla Kmett

AU - Treiber, Frank A.

AU - Ruggiero, Kenneth J.

PY - 2017/2/1

Y1 - 2017/2/1

N2 - Psychiatric disorders are linked to a variety of biological, psychological, and contextual causes and consequences. Laboratory studies have elucidated the importance of several key physiological and behavioral biomarkers in the study of psychiatric disorders, but much less is known about the role of these biomarkers in naturalistic settings. These gaps are largely driven by methodological barriers to assessing biomarker data rapidly, reliably, and frequently outside the clinic or laboratory. Mobile health (mHealth) tools offer new opportunities to study relevant biomarkers in concert with other types of data (e.g., self-reports, global positioning system data). This review provides an overview on the state of this emerging field and describes examples from the literature where mHealth tools have been used to measure a wide array of biomarkers in the context of psychiatric functioning (e.g., psychological stress, anxiety, autism, substance use). We also outline advantages and special considerations for incorporating mHealth tools for remote biomarker measurement into studies of psychiatric illness and treatment and identify several specific opportunities for expanding this promising methodology. Integrating mHealth tools into this area may dramatically improve psychiatric science and facilitate highly personalized clinical care of psychiatric disorders.

AB - Psychiatric disorders are linked to a variety of biological, psychological, and contextual causes and consequences. Laboratory studies have elucidated the importance of several key physiological and behavioral biomarkers in the study of psychiatric disorders, but much less is known about the role of these biomarkers in naturalistic settings. These gaps are largely driven by methodological barriers to assessing biomarker data rapidly, reliably, and frequently outside the clinic or laboratory. Mobile health (mHealth) tools offer new opportunities to study relevant biomarkers in concert with other types of data (e.g., self-reports, global positioning system data). This review provides an overview on the state of this emerging field and describes examples from the literature where mHealth tools have been used to measure a wide array of biomarkers in the context of psychiatric functioning (e.g., psychological stress, anxiety, autism, substance use). We also outline advantages and special considerations for incorporating mHealth tools for remote biomarker measurement into studies of psychiatric illness and treatment and identify several specific opportunities for expanding this promising methodology. Integrating mHealth tools into this area may dramatically improve psychiatric science and facilitate highly personalized clinical care of psychiatric disorders.

KW - Biomarkers

KW - Biosensors

KW - Clinical research

KW - Ecological momentary assessment

KW - Mobile health

KW - Technology

UR - http://www.scopus.com/inward/record.url?scp=84995377328&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84995377328&partnerID=8YFLogxK

U2 - 10.1016/j.jpsychires.2016.10.019

DO - 10.1016/j.jpsychires.2016.10.019

M3 - Article

VL - 85

SP - 1

EP - 14

JO - Journal of Psychiatric Research

JF - Journal of Psychiatric Research

SN - 0022-3956

ER -