Neuromotor Dynamics of Human Locomotion in Challenging Settings

被引:53
作者
Santuz, Alessandro [1 ,2 ,3 ]
Bruell, Leon [1 ,2 ,4 ]
Ekizos, Antonis [1 ,2 ]
Schroll, Arno [1 ,2 ]
Eckardt, Nils [5 ,6 ]
Kibele, Armin [5 ]
Schwenk, Michael [4 ,7 ]
Arampatzis, Adamantios [1 ,2 ]
机构
[1] Humboldt Univ, Dept Training & Movement Sci, D-10115 Berlin, Germany
[2] Humboldt Univ, Berlin Sch Movement Sci, D-10115 Berlin, Germany
[3] Dalhousie Univ, Brain Repair Ctr, Dept Med Neurosci, Atlantic Mobil Act Project, Halifax, NS B3H 4R2, Canada
[4] Heidelberg Univ, Network Aging Res, D-69117 Heidelberg, Germany
[5] Univ Kassel, Inst Sport & Sports Sci, Dept Training & Movement Sci, D-34125 Kassel, Germany
[6] Carl von Ossietzky Univ Oldenburg, Inst Sport Sci, Dept Sport & Movement Sci, D-26129 Oldenburg, Germany
[7] Heidelberg Univ, Inst Sports & Sports Sci, D-69117 Heidelberg, Germany
关键词
MUSCLE SYNERGIES; HUMAN WALKING; TIME-SERIES; STABILITY; MOVEMENT; PATTERNS; ACTIVATION; ORGANIZATION; PRIMITIVES; MODULES;
D O I
10.1016/j.isci.2019.100796
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Is the control of movement less stable when we walk or run in challenging settings? Intuitively, one might answer that it is, given that challenging locomotion externally (e.g., rough terrain) or internally (e.g., age-related impairments) makes our movements more unstable. Here, we investigated how young and old humans synergistically activate muscles during locomotion when different perturbation levels are introduced. Of these control signals, called muscle synergies, we analyzed the local stability and the complexity (or irregularity) over time, Surprisingly, we found that perturbations force the central nervous system to produce muscle activation patterns that are less unstable and less complex. These outcomes show that robust locomotion control in challenging settings is achieved by producing less complex control signals that are more stable over time, whereas easier tasks allow for more unstable and irregular control.
引用
收藏
页数:38
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