Literature DB >> 17717659

Uncontrolled manifold analysis of segmental angle variability during walking: preadolescents with and without Down syndrome.

David P Black1, Beth A Smith, Jianhua Wu, Beverly D Ulrich.   

Abstract

The uncontrolled manifold (UCM) approach allows us to address issues concerning the nature of variability. In this study we applied the UCM analysis to gait and to a population known for exhibiting high levels of performance variability, Down syndrome (DS). We wanted to determine if preadolescents (ages between 8 and 10) with DS partition goal-equivalent variability (UCM( ||)) and non-goal equivalent variability differently than peers with typical development (TD) and whether treadmill practice would result in utilizing greater amounts of functional, task-specific variability to accomplish the task goal. We also wanted to determine how variance is structured with respect to two important performance variables: center of mass (COM) and head trajectory at one specific event (i.e., heel contact) for both groups during gait. Preadolescents with and without DS walked on a treadmill below, at, and above their preferred overground speed. We tested both groups before and after four visits of treadmill practice. We found that children with DS partition more UCM( ||) variance than children with TD across all speeds and both pre and post practice. The results also suggest that more segmental configuration variance was structured such that less motion of COM than head position was exhibited at heel contact. Overall, we believe children with DS are employing a different control strategy to compensate for their inherent limitations by exploiting that variability that corresponds to successfully performing the task.

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Mesh:

Year:  2007        PMID: 17717659     DOI: 10.1007/s00221-007-1066-1

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  34 in total

1.  Noise, information transmission, and force variability.

Authors:  A B Slifkin; K M Newell
Journal:  J Exp Psychol Hum Percept Perform       Date:  1999-06       Impact factor: 3.332

2.  Analysis of "invariant characteristics" in the motor control of down's syndrome and normal subjects.

Authors:  W E Davis; J A Kelso
Journal:  J Mot Behav       Date:  1982-09       Impact factor: 1.328

3.  Interpolating three-dimensional kinematic data using quaternion splines and hermite curves.

Authors:  James Coburn; Joseph J Crisco
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4.  Early stage of walking: development of control in mediolateral and anteroposterior directions.

Authors:  Masayoshi Kubo; Beverly D Ulrich
Journal:  J Mot Behav       Date:  2006-05       Impact factor: 1.328

5.  Changes in step variability of new walkers with typical development and with Down syndrome.

Authors:  Julia Looper; Jianhua Wu; Rosa Angulo Barroso; Dale Ulrich; Beverly D Ulrich
Journal:  J Mot Behav       Date:  2006-09       Impact factor: 1.328

6.  Effect of practice on a novel task--walking on a treadmill: preadolescents with and without Down syndrome.

Authors:  Beth A Smith; Masayoshi Kubo; David P Black; Kenneth G Holt; Beverly D Ulrich
Journal:  Phys Ther       Date:  2007-04-18

7.  The transition to reaching: mapping intention and intrinsic dynamics.

Authors:  E Thelen; D Corbetta; K Kamm; J P Spencer; K Schneider; R F Zernicke
Journal:  Child Dev       Date:  1993-08

8.  Hidden skills: a dynamic systems analysis of treadmill stepping during the first year.

Authors:  E Thelen; B D Ulrich
Journal:  Monogr Soc Res Child Dev       Date:  1991

9.  Self-Optimization of Walking in Nondisabled Children and Children With Spastic Hemiplegic Cerebral Palsy.

Authors:  S-F. Jeng; K. G. Holt; L. Fetters; C. Certo
Journal:  J Mot Behav       Date:  1996-03       Impact factor: 1.328

10.  Orthopedic disorders in patients with Down's syndrome.

Authors:  L S Diamond; D Lynne; B Sigman
Journal:  Orthop Clin North Am       Date:  1981-01       Impact factor: 2.472

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  36 in total

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Journal:  Exp Brain Res       Date:  2010-09-23       Impact factor: 1.972

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Journal:  Exp Brain Res       Date:  2009-06-04       Impact factor: 1.972

3.  Angular momentum synergies during walking.

Authors:  Thomas Robert; Bradford C Bennett; Shawn D Russell; Christopher A Zirker; Mark F Abel
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4.  Whole limb kinematics are preferentially conserved over individual joint kinematics after peripheral nerve injury.

Authors:  Young-Hui Chang; Arick G Auyang; John P Scholz; T Richard Nichols
Journal:  J Exp Biol       Date:  2009-11       Impact factor: 3.312

5.  Locomotor control of limb force switches from minimal intervention principle in early adaptation to noise reduction in late adaptation.

Authors:  Brian P Selgrade; Young-Hui Chang
Journal:  J Neurophysiol       Date:  2014-12-04       Impact factor: 2.714

6.  Recommendation for the minimum number of steps to analyze when performing the uncontrolled manifold analysis on walking data.

Authors:  Noah J Rosenblatt; Christopher P Hurt
Journal:  J Biomech       Date:  2019-01-19       Impact factor: 2.712

7.  Exploration of joint redundancy but not task space variability facilitates supervised motor learning.

Authors:  Puneet Singh; Sumitash Jana; Ashitava Ghosal; Aditya Murthy
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-29       Impact factor: 11.205

8.  Visual deprivation is met with active changes in ground reaction forces to minimize worsening balance and stability during walking.

Authors:  Otella Shoja; Alireza Farsi; Farzad Towhidkhah; Anatol G Feldman; Behrouz Abdoli; Alireza Bahramian
Journal:  Exp Brain Res       Date:  2020-01-11       Impact factor: 1.972

9.  Patterns of gait variability across the lifespan in persons with and without down syndrome.

Authors:  Beth A Smith; Nicholas Stergiou; Beverly D Ulrich
Journal:  J Neurol Phys Ther       Date:  2011-12       Impact factor: 3.649

10.  Uncontrolled manifold analysis of the effects of a perturbation-based training on the organization of leg joint variance in cerebellar ataxia.

Authors:  Federica Aprigliano; Margherita Lofrumento; Vito Monaco; Dario Martelli; Silvestro Micera
Journal:  Exp Brain Res       Date:  2020-11-27       Impact factor: 1.972

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