Time series analysis of leg movements during freezing of gait in Parkinson's disease: Akinesia, rhyme or reason?

Jeffrey M. Hausdorff, Y. Balash, Nir Giladi

Research output: Contribution to journalArticlepeer-review

Abstract

We quantitatively characterized the fluctuations in the forces under the feet during freezing of gait (FOG) in 11 patients with advanced Parkinson's disease. FOG, a leading cause of falls and impaired functional independence, is a poorly understood debilitating phenomenon that is common among persons with advanced Parkinson's disease. During freezing, the feet are "glued" to the ground and the subject is unable to move forward despite effort in what has been described as an absence of movement. Using time series and fractal analysis methods, we found that FOG is not a frozen akinetic state, nor is freezing random, uncorrelated attempts at overcoming motor blockade. Instead, the forces under the feet oscillate in a fairly organized pattern. However, in contrast to walking and resting leg tremor, the spectrum was broadband and more complex. This complex movement pattern may reflect the activation of multiple networks during FOG.

Original languageEnglish
Pages (from-to)565-570
Number of pages6
JournalPhysica A: Statistical Mechanics and its Applications
Volume321
Issue number3-4
DOIs
StatePublished - 15 Apr 2003
Externally publishedYes

Keywords

  • Detrended fluctuation analysis
  • Freezing of gait
  • Parkinson's disease
  • Spectral analysis
  • Surrogate data

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