Literature DB >> 29995607

Neuromuscular determinants of slip-induced falls and recoveries in older adults.

Andrew Sawers1, Tanvi Bhatt2.   

Abstract

Is there a neuromuscular basis for falls? If so, it may provide new insight into falls and their assessment and treatment. We hypothesized that falls and recoveries from a laboratory-induced slip would be characterized by differences in multimuscle coordination patterns. Using muscle synergy analysis, we identified different multimuscle coordination patterns between older adults who fell and those who recovered from a laboratory-induced "feet-forward" slip. Participants who fell recruited fewer muscle synergies than participants who recovered. This suggests that a fall may result from recruitment of an inadequate number of muscle synergies to produce the necessary mechanical functions required to maintain balance. Participants who fell also recruited different muscle synergies, including one with high levels of coactivity consistent with a startle-like response. These differences in multimuscle coordination between slip outcomes were not accompanied by differences in slip difficulty or gait kinematics before or during the slip response. The differences in neuromuscular control may therefore reflect differences in sensorimotor control rather than kinematic constraints imposed by the slip, or the musculoskeletal system. Further research is required to test the robustness of these results and their interpretation with respect to additional mechanical variables (e.g., joint torques, ground reaction forces), responses to other fall types (e.g., trips), and within rather than between individuals. NEW & NOTEWORTHY Do falls and recoveries possess distinct neuromuscular features? We identified differences in neuromuscular control between older adults who fell and those who recovered from a "feet-forward" slip. Differences in neuromuscular control were not accompanied by differences in gait or slip kinematics before or during the slip response, suggesting differences in sensorimotor control rather than kinematics dictated the observed differences in neuromuscular control. An analysis of additional mechanical variables is required to confirm this interpretation.

Entities:  

Keywords:  balance; falls; muscle coordination; muscle synergy; neuromechanics

Mesh:

Year:  2018        PMID: 29995607      PMCID: PMC6230779          DOI: 10.1152/jn.00286.2018

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  69 in total

1.  Effect of slip on movement of body center of mass relative to base of support.

Authors:  J You; Y Chou; C Lin; F Su
Journal:  Clin Biomech (Bristol, Avon)       Date:  2001-02       Impact factor: 2.063

2.  Reactive balance adjustments to unexpected perturbations during human walking.

Authors:  Reed Ferber; Louis R Osternig; Marjorie H Woollacott; Noah J Wasielewski; Ji-Hang Lee
Journal:  Gait Posture       Date:  2002-12       Impact factor: 2.840

3.  Slip-related muscle activation patterns in the stance leg during walking.

Authors:  April J Chambers; Rakié Cham
Journal:  Gait Posture       Date:  2006-07-27       Impact factor: 2.840

4.  Recovery responses to surrogate slipping tasks differ from responses to actual slips.

Authors:  Karen L Troy; Mark D Grabiner
Journal:  Gait Posture       Date:  2006-01-18       Impact factor: 2.840

5.  Common protective movements govern unexpected falls from standing height.

Authors:  E T Hsiao; S N Robinovitch
Journal:  J Biomech       Date:  1998-01       Impact factor: 2.712

Review 6.  The bliss (not the problem) of motor abundance (not redundancy).

Authors:  Mark L Latash
Journal:  Exp Brain Res       Date:  2012-01-14       Impact factor: 1.972

7.  Disturbance type and gait speed affect fall direction and impact location.

Authors:  C Smeesters; W C Hayes; T A McMahon
Journal:  J Biomech       Date:  2001-03       Impact factor: 2.712

8.  Limits of recovery against slip-induced falls while walking.

Authors:  Feng Yang; Tanvi Bhatt; Yi-Chung Pai
Journal:  J Biomech       Date:  2011-09-06       Impact factor: 2.712

9.  Merging of healthy motor modules predicts reduced locomotor performance and muscle coordination complexity post-stroke.

Authors:  David J Clark; Lena H Ting; Felix E Zajac; Richard R Neptune; Steven A Kautz
Journal:  J Neurophysiol       Date:  2009-12-09       Impact factor: 2.714

10.  Persons with Parkinson's disease exhibit decreased neuromuscular complexity during gait.

Authors:  Kathryn L Rodriguez; Ryan T Roemmich; Bruce Cam; Benjamin J Fregly; Chris J Hass
Journal:  Clin Neurophysiol       Date:  2013-03-06       Impact factor: 3.708

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