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Complexity and nonlinear biomarkers in emotional disorders: A meta-analytic study.

Authors :
de la Torre-Luque, Alejandro
Bornas, Xavier
Balle, Maria
Fiol-Veny, Aina
Source :
Neuroscience & Biobehavioral Reviews. Sep2016, Vol. 68, p410-422. 13p.
Publication Year :
2016

Abstract

This meta-analysis aimed at gathering and summarising the findings on nonlinear biomarkers in the field of emotional disorders under the hypothesis that diseased systems show lowered complexity and hence less flexibility to adjust daily contexts. Scientific manuscripts from 1970 to 2014 were reviewed, 58 articles were analysed, and independent meta-analyses on anxiety disorders, bipolar disorders, and depressive disorders were conducted. Results revealed that anxious patients exhibited lower complexity than controls ( p < 0.05) despite panic patients showed more irregular respiratory activity. Inconclusive results were found for bipolar patients but pointed to higher randomness when suffering manic episodes. Finally, depressed patients showed a loss of complexity in the cardiac system and a loss of orderliness (despite a higher complexity) in brain and stress-related hormonal systems. As a conclusion, our findings highlight that either a loss of complexity or a loss of ordered complexity characterise the physiological systems of patients with emotional disorders. Several considerations for complexity, its related measurements, and suggestions for further research are discussed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01497634
Volume :
68
Database :
Academic Search Index
Journal :
Neuroscience & Biobehavioral Reviews
Publication Type :
Academic Journal
Accession number :
117709858
Full Text :
https://doi.org/10.1016/j.neubiorev.2016.05.023