A momentary biomarker for depressive mood

Many biomarkers from genetic, neuroimaging, and biological/biochemical measures have been recently developed in order to make a shift toward the objective evaluation of psychiatric disorders. However, they have so far been less successful in capturing dynamical changes or transitions in pathological...

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Main Authors: Kim, Jinhyuk, Nakamura, Toru, Yamamoto, Yoshiharu
Format: Online
Language:English
Published: Springer Berlin Heidelberg 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4792818/
id pubmed-4792818
recordtype oai_dc
spelling pubmed-47928182016-04-09 A momentary biomarker for depressive mood Kim, Jinhyuk Nakamura, Toru Yamamoto, Yoshiharu Review Many biomarkers from genetic, neuroimaging, and biological/biochemical measures have been recently developed in order to make a shift toward the objective evaluation of psychiatric disorders. However, they have so far been less successful in capturing dynamical changes or transitions in pathological states, such as those occurring during the course of clinical treatments or pathogenic processes of disorders. A momentary biomarker is now required for objective monitoring of such dynamical changes. The development of ecological momentary assessment (EMA) allows the assessment of dynamical aspects of diurnal/daily clinical conditions and subjective symptoms. Furthermore, a variety of validation studies on momentary symptoms assessed by EMA using behavioral/physiological/biochemical measures have demonstrated the possibility of evaluating momentary symptoms from such external objective measures. In this review, we introduce physical activity as a candidate biobehavioral biomarker for psychiatric disorders. We also mention its potential as a momentary biomarker for depressive mood. Finally, we address the continuous monitoring of the pathogenic processes and pathological states of depressive disorders based on physical activity, as well as its application in pharmacological animal studies. Springer Berlin Heidelberg 2016-03-16 /pmc/articles/PMC4792818/ /pubmed/26979449 http://dx.doi.org/10.1186/s40203-016-0017-6 Text en © Kim et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Kim, Jinhyuk
Nakamura, Toru
Yamamoto, Yoshiharu
spellingShingle Kim, Jinhyuk
Nakamura, Toru
Yamamoto, Yoshiharu
A momentary biomarker for depressive mood
author_facet Kim, Jinhyuk
Nakamura, Toru
Yamamoto, Yoshiharu
author_sort Kim, Jinhyuk
title A momentary biomarker for depressive mood
title_short A momentary biomarker for depressive mood
title_full A momentary biomarker for depressive mood
title_fullStr A momentary biomarker for depressive mood
title_full_unstemmed A momentary biomarker for depressive mood
title_sort momentary biomarker for depressive mood
description Many biomarkers from genetic, neuroimaging, and biological/biochemical measures have been recently developed in order to make a shift toward the objective evaluation of psychiatric disorders. However, they have so far been less successful in capturing dynamical changes or transitions in pathological states, such as those occurring during the course of clinical treatments or pathogenic processes of disorders. A momentary biomarker is now required for objective monitoring of such dynamical changes. The development of ecological momentary assessment (EMA) allows the assessment of dynamical aspects of diurnal/daily clinical conditions and subjective symptoms. Furthermore, a variety of validation studies on momentary symptoms assessed by EMA using behavioral/physiological/biochemical measures have demonstrated the possibility of evaluating momentary symptoms from such external objective measures. In this review, we introduce physical activity as a candidate biobehavioral biomarker for psychiatric disorders. We also mention its potential as a momentary biomarker for depressive mood. Finally, we address the continuous monitoring of the pathogenic processes and pathological states of depressive disorders based on physical activity, as well as its application in pharmacological animal studies.
publisher Springer Berlin Heidelberg
publishDate 2016
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4792818/
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