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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2016
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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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1613552184870305792 |