Identifying intrinsic and reflexive contributions to low-back stabilization

Abstract Motor control deficits have been suggested as potential cause and/or effect of a-specific chronic low-back pain and its recurrent behavior. Therefore, the goal of this study is to identify motor control in low-back stabilization by simultaneously quantifying the intrinsic and reflexive cont...

Full description

Saved in:
Bibliographic Details
Published in:Journal of biomechanics 2013-05, Vol.46 (8), p.1440-1446
Main Authors: van Drunen, P, Maaswinkel, E, van der Helm, F.C.T, van Dieën, J.H, Happee, R
Format: Article
Language:English
Subjects:
Admittance
Adult
Back - physiology
Biomechanical Phenomena
Electrical impedance
Electromyography - methods
Experiments
Feedback
Golgi tendon organ
Humans
Low Back Pain - physiopathology
Lumbar Spine
Mathematical models
Middle Aged
Motors
Muscle spindles
Muscle, Skeletal - physiology
Physical Medicine and Rehabilitation
Postural control
Posture - physiology
Reflex, Stretch - physiology
Resists
Stabilization
Studies
System identification
Tasks
Variance
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract Motor control deficits have been suggested as potential cause and/or effect of a-specific chronic low-back pain and its recurrent behavior. Therefore, the goal of this study is to identify motor control in low-back stabilization by simultaneously quantifying the intrinsic and reflexive contributions. Upper body sway was evoked using continuous force perturbations at the trunk, while subjects performed a resist or relax task. Frequency response functions (FRFs) and coherences of the admittance (kinematics) and reflexes (sEMG) were obtained. In comparison with the relax task, the resist task resulted in a 61% decrease in admittance and a 73% increase in reflex gain below 1.1 Hz. Intrinsic and reflexive contributions were captured by a physiologically-based, neuromuscular model, including proprioceptive feedback from muscle spindles (position and velocity) and Golgi tendon organs (force). This model described on average 90% of the variance in kinematics and 39% of the variance in sEMG, while resulting parameter values were consistent over subjects.
ISSN:0021-9290
1873-2380
DOI:10.1016/j.jbiomech.2013.03.007