Literature DB >> 25224705

Intersegmental coordination of gait after hemorrhagic stroke.

John W Chow1, Dobrivoje S Stokic.   

Abstract

We compared gait using the planar law of intersegmental coordination between 14 hemorrhagic stroke subjects walking at a self-selected normal speed (56 ± 21 cm/s) and 15 age-matched healthy controls walking at a very slow speed (56 ± 19 cm/s). Sagittal plane elevation angles of the thigh, shank, and foot segments were submitted to principal component analysis. Additional outcome measures included the range of elevation angle and timing of peak elevation angle of the thigh, shank, and foot segments. The range of elevation angles at the shank and foot was significantly smaller in the paretic leg than non-paretic and control legs. Also, the peak elevation angle at the thigh occurred significantly later in the gait cycle in the paretic than control leg. Gait of both stroke and control subjects followed the planar law with the first two principal components explaining approximately 99% of the variance. However, the three-dimensional trajectory of elevation angles (gait loop) in stroke subjects deviated from the typical teardrop shape bilaterally, which was more exaggerated in the paretic leg. Compared to the non-paretic and control legs, the paretic leg showed significantly increased absolute loading of the thigh elevation angle and decreased absolute loadings of the shank and foot elevation angles on the first principal component, whereas the opposite was observed for the second principal component. Despite following the planar law, the gait of chronic stroke subjects is characterized by atypical timing of the thigh motion and disrupted intersegmental coordination of both legs.

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Year:  2014        PMID: 25224705     DOI: 10.1007/s00221-014-4099-2

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


  38 in total

1.  Basal ganglia and gait control: apomorphine administration and internal pallidum stimulation in Parkinson's disease.

Authors:  R Grasso; A Peppe; F Stratta; D Angelini; M Zago; P Stanzione; F Lacquaniti
Journal:  Exp Brain Res       Date:  1999-05       Impact factor: 1.972

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Authors:  F. Lacquaniti; R. Grasso; M. Zago
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Authors:  Y P Ivanenko; R Grasso; V Macellari; F Lacquaniti
Journal:  J Neurophysiol       Date:  2002-06       Impact factor: 2.714

4.  Tuning of a basic coordination pattern constructs straight-ahead and curved walking in humans.

Authors:  Grégoire Courtine; Marco Schieppati
Journal:  J Neurophysiol       Date:  2003-12-10       Impact factor: 2.714

Review 5.  Kinematic control of walking.

Authors:  F Lacquaniti; Y P Ivanenko; M Zago
Journal:  Arch Ital Biol       Date:  2002-10       Impact factor: 1.000

6.  Temporospatial characteristics of gait in patients with lower limb muscle hypertonia after traumatic brain injury.

Authors:  John W Chow; Stuart A Yablon; Terry S Horn; Dobrivoje S Stokic
Journal:  Brain Inj       Date:  2010-10-25       Impact factor: 2.311

Review 7.  Introduction to principal components analysis.

Authors:  Kristin L Sainani
Journal:  PM R       Date:  2014-02-22       Impact factor: 2.298

8.  Plantarflexor weakness as a limiting factor of gait speed in stroke subjects and the compensating role of hip flexors.

Authors:  S Nadeau; D Gravel; A B Arsenault; D Bourbonnais
Journal:  Clin Biomech (Bristol, Avon)       Date:  1999-02       Impact factor: 2.063

9.  Use of segmental coordination analysis of nonparetic and paretic limbs during obstacle clearance in community-dwelling persons after stroke.

Authors:  Michael J MacLellan; Carol L Richards; Joyce Fung; Bradford J McFadyen
Journal:  PM R       Date:  2013-02-16       Impact factor: 2.298

10.  Coordination of the non-paretic leg during hemiparetic gait: expected and novel compensatory patterns.

Authors:  Bhavana Raja; Richard R Neptune; Steven A Kautz
Journal:  Clin Biomech (Bristol, Avon)       Date:  2012-09-13       Impact factor: 2.063

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  4 in total

1.  Intersegmental coordination scales with gait speed similarly in men and women.

Authors:  John W Chow; Dobrivoje S Stokic
Journal:  Exp Brain Res       Date:  2015-07-21       Impact factor: 1.972

2.  Predicting Coordination Variability of Selected Lower Extremity Couplings during a Cutting Movement: An Investigation of Deep Neural Networks with the LSTM Structure.

Authors:  Enze Shao; Qichang Mei; Jingyi Ye; Ukadike C Ugbolue; Chaoyi Chen; Yaodong Gu
Journal:  Bioengineering (Basel)       Date:  2022-08-23

3.  Reshaping of Gait Coordination by Robotic Intervention in Myelopathy Patients After Surgery.

Authors:  Sandra Puentes; Hideki Kadone; Shigeki Kubota; Tetsuya Abe; Yukiyo Shimizu; Aiki Marushima; Yoshiyuki Sankai; Masashi Yamazaki; Kenji Suzuki
Journal:  Front Neurosci       Date:  2018-03-02       Impact factor: 4.677

4.  Reshaping of Bilateral Gait Coordination in Hemiparetic Stroke Patients After Early Robotic Intervention.

Authors:  Sandra Puentes; Hideki Kadone; Hiroki Watanabe; Tomoyuki Ueno; Masashi Yamazaki; Yoshiyuki Sankai; Aiki Marushima; Kenji Suzuki
Journal:  Front Neurosci       Date:  2018-10-09       Impact factor: 4.677

  4 in total

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