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. 2021 Jul 27;21(15):5079.
doi: 10.3390/s21155079.

Atypical Gait Cycles in Parkinson's Disease

Affiliations

Atypical Gait Cycles in Parkinson's Disease

Marco Ghislieri et al. Sensors (Basel). .

Abstract

It is important to find objective biomarkers for evaluating gait in Parkinson's Disease (PD), especially related to the foot and lower leg segments. Foot-switch signals, analyzed through Statistical Gait Analysis (SGA), allow the foot-floor contact sequence to be characterized during a walking session lasting five-minutes, which includes turnings. Gait parameters were compared between 20 PD patients and 20 age-matched controls. PDs showed similar straight-line speed, cadence, and double-support compared to controls, as well as typical gait-phase durations, except for a small decrease in the flat-foot contact duration (-4% of the gait cycle, p = 0.04). However, they showed a significant increase in atypical gait cycles (+42%, p = 0.006), during both walking straight and turning. A forefoot strike, instead of a "normal" heel strike, characterized the large majority of PD's atypical cycles, whose total percentage was 25.4% on the most-affected and 15.5% on the least-affected side. Moreover, we found a strong correlation between the atypical cycles and the motor clinical score UPDRS-III (r = 0.91, p = 0.002), in the subset of PD patients showing an abnormal number of atypical cycles, while we found a moderate correlation (r = 0.60, p = 0.005), considering the whole PD population. Atypical cycles have proved to be a valid biomarker to quantify subtle gait dysfunctions in PD patients.

Keywords: Parkinson’s disease; UPDRS; foot-floor contact; human locomotion; statistical gait analysis.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Schematic representation of the walking path. Subjects walked back and forth, without interruptions, along a straight path of 9 m, for approximately 5 min. U-turns were included in the analysis.
Figure 2
Figure 2
Panel (A) represents the acquisition system. Foot-switches were placed under the heel, the first, and the fifth metatarsal heads of each foot to detect the foot-floor contact events. Panel (B) shows an example of foot-switch signal acquired from the more-affected side of a representative PD patient of the sample population with the indication of the four gait phases (H: Heel Contact, F: Flat-Foot Contact, P: Push-Off, and S: Swing).
Figure 3
Figure 3
Example of 4-level foot-switch signals and gait cycle phases (H: Heel Contact, F: Flat-Foot Contact, P: Push-Off, and S: Swing) acquired from the right foot (more affected side) of a representative PD patient. Panel (A) represents an example of a typical gait cycle, while panel (B) shows two examples of atypical gait cycles (PFPS and PS).
Figure 4
Figure 4
Schematic representation of the methodological steps implemented in this study from the data acquisition step to the assessment of the results.
Figure 5
Figure 5
Boxplots of the percentage of atypical gait cycles (i.e., any gait cycle showing a foot-floor contact sequence different from HFPS) relative to the most frequently observed atypical gait-cycle classes in PD and control populations. Outliers are indicated by circles. Single and double asterisks represent statistically significant differences with p-values lower than 0.05 and 0.01, respectively.
Figure 6
Figure 6
Correlation analysis between the normalized percentage of atypical gait cycles (for the more-affected side of PD patients) and UPDRS-III computed for: (A) the whole PD group, and (B) the PD_with_Atyp subgroup.

References

    1. DeMaagd G., Philip A. Parkinson’s disease and its management part 1: Disease entity, risk factors, pathophysiology, clinical presentation, and diagnosis. Pharm. Ther. 2015;40:504–532. - PMC - PubMed
    1. Canning C.G., Paul S.S., Nieuwboer A. Prevention of falls in Parkinson’s disease: A review of fall risk factors and the role of physical interventions. Neurodegener. Dis. Manag. 2014;4:203–221. doi: 10.2217/nmt.14.22. - DOI - PubMed
    1. Nonnekes J., Růžička E., Nieuwboer A., Hallett M., Fasano A., Bloem B.R. Compensation strategies for gait impairments in parkinson disease: A review. JAMA Neurol. 2019;76:718–725. doi: 10.1001/jamaneurol.2019.0033. - DOI - PubMed
    1. Mirelman A., Bonato P., Camicioli R., Ellis T.D., Giladi N., Hamilton J.L., Hass C.J., Hausdorff J.M., Pelosin E., Almeida Q.J. Gait impairments in Parkinson’s disease. Lancet Neurol. 2019;18:697–708. doi: 10.1016/S1474-4422(19)30044-4. - DOI - PubMed
    1. Goetz C.G., Tilley B.C., Shaftman S.R., Stebbins G.T., Fahn S., Martinez-Martin P., Poewe W., Sampaio C., Stern M.B., Dodel R., et al. Movement Disorder Society-Sponsored Revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS): Scale presentation and clinimetric testing results. Mov. Disord. 2008;23:2129–2170. doi: 10.1002/mds.22340. - DOI - PubMed