Complexity of human postural control in subjects with unilateral peripheral vestibular hypofunction

被引:20
作者
Yeh, Jia-Rong [1 ,2 ]
Lo, Men-Tzung [1 ,2 ]
Chang, Fu-Ling [3 ,4 ]
Hsu, Li-Chi [5 ,6 ]
机构
[1] Natl Cent Univ, Res Ctr Adapt Data Anal, Taoyuan, Taiwan
[2] Natl Cent Univ, Ctr Dynam Biomarkers & Translat Med, Taoyuan, Taiwan
[3] Taiwan Text Res Inst, New Taipei City, Taiwan
[4] Natl Yunlin Univ Sci & Technol, Grad Sch Design, Yunlin, Taiwan
[5] Taipei Vet Gen Hosp, Dept Neurol, Taipei 11217, Taiwan
[6] Natl Yang Ming Univ, Sch Med, Taipei 112, Taiwan
关键词
Complexity; Center of pressure; Multiscale entropy; Sensory organization test; Unilateral vestibular dysfunction; APPROXIMATE ENTROPY; DYNAMICS; DISEASE;
D O I
10.1016/j.gaitpost.2014.06.016
中图分类号
Q189 [神经科学];
学科分类号
071006 [神经生物学];
摘要
Complexity is a new measure for identifying the adaptability of a complex system to meet possible challenges. For a center of pressure (COP) time series, the complexity measure represents the stability of postural control. In this study, multiscale entropy (MSE) was used to evaluate the complexity of COP time series in six test conditions of sensory organization test (SOT). Complexity index (CI) is defined as the summation of entropies with coarse-graining scales 1-20 by MSE. A total of 51 subjects belonging to 3 groups -healthy-young, healthy-elderly and dizzy - were recruited in this study. The COP signals in both anteroposterior (AP) and mediolateral (ML) directions were analyzed respectively. According to our results, the CI of AP-direction COP time series is significantly correlated to the equilibrium score, which represents the stability of postural control in SOT. The AP-direction sway is significant larger than the ML-direction sway, particularly in the test conditions with sway-surface. In additions, the CI of AP-direction COP for the healthy-elderly and dizzy groups are significantly lower than those for the healthy young group in the test conditions 1-4. The CI of ML-direction COP for the healthy-elderly group is significantly lower than those for the healthy-young and dizzy groups under test conditions 3 and 6. These results show that the complexity loss is a common status of AP-direction COP time series for both healthy-elderly and dizzy groups, and the complexity of ML-direction COP time series for subjects with unilateral vestibular dysfunction is higher than that for the healthy-elderly group specifically under test conditions 3 and 6. (C) 2014 Elsevier B. V. All rights reserved.
引用
收藏
页码:581 / 586
页数:6
相关论文
共 17 条
[1]
EEG complexity as a biomarker for autism spectrum disorder risk [J].
Bosl, William ;
Tierney, Adrienne ;
Tager-Flusberg, Helen ;
Nelson, Charles .
BMC MEDICINE, 2011, 9
[2]
Multiscale entropy analysis of complex physiologic time series [J].
Costa, M ;
Goldberger, AL ;
Peng, CK .
PHYSICAL REVIEW LETTERS, 2002, 89 (06) :1-068102
[3]
What is physiologic complexity and how does it change with aging and disease? [J].
Goldberger, AL ;
Peng, CK ;
Lipsitz, LA .
NEUROBIOLOGY OF AGING, 2002, 23 (01) :23-26
[4]
Fractal dynamics in physiology: Alterations with disease and aging [J].
Goldberger, AL ;
Amaral, LAN ;
Hausdorff, JM ;
Ivanov, PC ;
Peng, CK ;
Stanley, HE .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 :2466-2472
[5]
COMPONENTS OF POSTURAL DYSCONTROL IN THE ELDERLY - A REVIEW [J].
HORAK, FB ;
SHUPERT, CL ;
MIRKA, A .
NEUROBIOLOGY OF AGING, 1989, 10 (06) :727-738
[6]
Emotion Recognition Based on Physiological Changes in Music Listening [J].
Kim, Jonghwa ;
Andre, Elisabeth .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2008, 30 (12) :2067-2083
[7]
Dynamics of stability: The physiologic basis of functional health and frailty [J].
Lipsitz, LA .
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES, 2002, 57 (03) :B115-B125
[8]
MANCHESTER D, 1989, J GERONTOL, V44, pM118
[9]
Increased Brain Signal Variability Accompanies Lower Behavioral Variability in Development [J].
McIntosh, Anthony Randal ;
Kovacevic, Natasa ;
Itier, Roxane J. .
PLOS COMPUTATIONAL BIOLOGY, 2008, 4 (07)
[10]
Nashner LM, 2008, PRACTICAL MANAGEMENT