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Age-related changes in inter-joint coordination during walking.

Espen A F Ihlen1

  • 1Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway espen.ihlen@ntnu.no.

Journal of Applied Physiology (Bethesda, Md. : 1985)
|May 24, 2014
PubMed
Summary
This summary is machine-generated.

Older adults exhibit weaker inter-joint coordination during walking compared to younger individuals. This generalized wavelet coherence analysis (GWCA) method reveals age-related differences in gait coordination, potentially indicating functional decline.

Keywords:
coherencecoordinationgaitoldwavelet

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Area of Science:

  • Biomechanics
  • Human Gait Analysis
  • Neuroscience

Background:

  • Assessing inter-joint coordination in human walking faces limitations in defining instantaneous changes, multi-joint coordination, and coupling strength.
  • Existing methods primarily focus on phase relationships rather than the strength of joint rotation coupling.

Purpose of the Study:

  • To introduce and validate a novel method, generalized wavelet coherence analysis (GWCA), for quantifying inter-joint coordination during human locomotion.
  • To assess age-related differences in gait coordination using the developed GWCA method.

Main Methods:

  • Generalized Wavelet Coherence Analysis (GWCA) was developed by combining wavelet coherence analysis with matrix correlation methods.
  • Lower extremity joint rotations were captured using a Vicon 3D motion capture system in 9 young and 19 healthy older adults walking at three different speeds.
  • Instantaneous correlation coefficients were calculated to represent the coupling strength of joint rotations.

Main Results:

  • Older adults demonstrated significantly weaker inter-joint coordination in the preswing phase compared to younger adults across all tested gait speeds (P < 0.0001).
  • Age-related differences in inter-joint coordination were more pronounced than differences in individual joint rotations.
  • Observed intra-stride coordination changes align with neural activity modulations in the sensorimotor cortex.

Conclusions:

  • GWCA effectively quantifies inter-joint coordination, addressing limitations of previous methods.
  • Age-related decline in gait coordination is evident and potentially detectable earlier than changes in individual joint movements.
  • Altered inter-joint coordination, as measured by GWCA, may serve as an early biomarker for functional decline in aging populations.