Paper Info
Title
Altered Brain Complexity in Women with Primary Dysmenorrhea: A Resting-State Magneto-Encephalography Study Using Multiscale Entropy Analysis.
Abstract
How chronic pain affects brain functions remains unclear. As a potential indicator, brain complexity estimated by entropy-based methods may be helpful for revealing the underlying neurophysiological mechanism of chronic pain. In this study, complexity features with multiple time scales and spectral features were extracted from resting-state magnetoencephalographic signals of 156 female participants with/without primary dysmenorrhea (PDM) during pain-free state. Revealed by multiscale sample entropy (MSE), PDM patients (PDMs) exhibited loss of brain complexity in regions associated with sensory, affective, and evaluative components of pain, including sensorimotor, limbic, and salience networks. Significant correlations between MSE values and psychological states (depression and anxiety) were found in PDMs, which may indicate specific nonlinear disturbances in limbic and default mode network circuits after long-term menstrual pain. These findings suggest that MSE is an important measure of brain complexity and is potentially applicable to future diagnosis of chronic pain.
Year
DOI
Venue
2017
10.3390/e19120680
ENTROPY
Keywords
Field
DocType
multiscale sample entropy,chronic pain,primary dysmenorrhea,complexity,magnetoencephalography,resting-state network
Chronic pain,Neuroscience,Default mode network,Sample entropy,Neurophysiology,Resting state fMRI,Anxiety,Sensory system,Statistics,Magnetoencephalography,Mathematics
Journal
Volume
Issue
Citations 
19
12
0
PageRank 
References 
Authors
0.34
20
8
Name
Order
Citations
PageRank
Intan Low100.34
Po-Chih Kuo2101.97
Yu-Hsiang Liu300.34
Cheng-Lin Tsai400.34
Hsiang-Tai Chao520.72
Jen-Chuen Hsieh618827.76
Li-Fen Chen7183.31
Yong-Sheng Chen831430.12