Dergiler / Frontiers in Life Sciences and Related Technologies / 2026 / Volume: 7

Phenotype-specific medication-related changes in nonlinear Poincaré descriptors of postural sway in Parkinson’s disease

Burcu Tunç Çamlıbel(BAHÇEŞEHİR ÜNİVERSİTESİ)0000-0003-2764-567X
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Yayın Tarihi
2026-10-25
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

These findings suggest that motor phenotype should be considered when interpreting medication effects on posturography in PD, and that the SD1/SD2 ratio, which closely tracked entropy- and fractal-based measures, offers a simple, parameter-free index of medication-related changes in the temporal structure of sway.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Postural instability is a major source of disability and fall risk in Parkinson’s disease (PD), yet the effect of dopaminergic medication on balance remains inconsistent.
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Temel Bulgular & Veri:In a public dataset of 32 individuals with idiopathic PD, 31 participants were classified as PIGD (n=12) or TD (n=19).
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Sonuç & Katkı:These findings suggest that motor phenotype should be considered when interpreting medication effects on posturography in PD, and that the SD1/SD2 ratio, which closely tracked entropy- and fractal-based measures, offers a simple, parameter-free index of medication-related changes in the temporal structure of sway.
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Balance · center of pressure · levodopa

Özet

Postural instability is a major source of disability and fall risk in Parkinson’s disease (PD), yet the effect of dopaminergic medication on balance remains inconsistent. One possible explanation is clinical heterogeneity, particularly between tremor-dominant (TD) and postural-instability/gait-difficulty (PIGD) phenotypes. In this study, nonlinear Poincaré descriptors were calculated from postural sway data to examine whether they changed with medication state differently in these two phenotypes. In a public dataset of 32 individuals with idiopathic PD, 31 participants were classified as PIGD (n=12) or TD (n=19). Quiet-standing center-of-pressure (CoP) signals were examined in OFF and ON medication states under four stance conditions combining rigid or unstable surface with eyes open or closed. Pre-filtered CoP signals were downsampled to 25 Hz and analyzed separately in the anteroposterior and mediolateral directions using lag-1 Poincaré plots to obtain SD1, SD2, and SD1/SD2, which were also compared with conventional, entropy-based, and fractal measures. Medication-related changes tended to be larger and more often positive in the PIGD group, whereas TD patients showed little systematic change. The clearest between-phenotype differences (nominal p<.05) were observed for mediolateral SD1 on an unstable surface with eyes closed, mediolateral SD2 on a rigid surface with eyes closed, and the anteroposterior SD1/SD2 ratio on an unstable surface with eyes closed; given the number of comparisons and the modest sample, these findings should be regarded as exploratory. These findings suggest that motor phenotype should be considered when interpreting medication effects on posturography in PD, and that the SD1/SD2 ratio, which closely tracked entropy- and fractal-based measures, offers a simple, parameter-free index of medication-related changes in the temporal structure of sway.

Abstract

Postural instability is a major source of disability and fall risk in Parkinson’s disease (PD), yet the effect of dopaminergic medication on balance remains inconsistent. One possible explanation is clinical heterogeneity, particularly between tremor-dominant (TD) and postural-instability/gait-difficulty (PIGD) phenotypes. In this study, nonlinear Poincaré descriptors were calculated from postural sway data to examine whether they changed with medication state differently in these two phenotypes. In a public dataset of 32 individuals with idiopathic PD, 31 participants were classified as PIGD (n=12) or TD (n=19). Quiet-standing center-of-pressure (CoP) signals were examined in OFF and ON medication states under four stance conditions combining rigid or unstable surface with eyes open or closed. Pre-filtered CoP signals were downsampled to 25 Hz and analyzed separately in the anteroposterior and mediolateral directions using lag-1 Poincaré plots to obtain SD1, SD2, and SD1/SD2, which were also compared with conventional, entropy-based, and fractal measures. Medication-related changes tended to be larger and more often positive in the PIGD group, whereas TD patients showed little systematic change. The clearest between-phenotype differences (nominal p<.05) were observed for mediolateral SD1 on an unstable surface with eyes closed, mediolateral SD2 on a rigid surface with eyes closed, and the anteroposterior SD1/SD2 ratio on an unstable surface with eyes closed; given the number of comparisons and the modest sample, these findings should be regarded as exploratory. These findings suggest that motor phenotype should be considered when interpreting medication effects on posturography in PD, and that the SD1/SD2 ratio, which closely tracked entropy- and fractal-based measures, offers a simple, parameter-free index of medication-related changes in the temporal structure of sway.

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Bu Makaleye Atıf Yap

Çamlıbel, B. T. (2026). Phenotype-specific medication-related changes in nonlinear Poincaré descriptors of postural sway in Parkinson’s disease. Frontiers in Life Sciences and Related Technologies, Volume: 7. https://doi.org/10.51753/flsrt.1927308

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Kaynakça (49)

  1. Amisola, L. R. V., Acosta, R. J. B., Arao-Arao, H. M. D., Benitez, V. N. C., Chan, R. M. T., Co, A. K. G.,. & Virata, M. C. A. (2025). Gait analysis for Parkinson’s disease using multiscale entropy. Neurodegenerative Disease Management, 15(5), 245-258. https://doi.org/10.1080/17582024.2025.2510842
  2. Beuter, A., Hernández, R., Rigal, R., Modolo, J., & Blanchet, P. J. (2008). Postural sway and effect of levodopa in early Parkinson’s disease. Canadian Journal of Neurological Sciences, 35(1), 65-68. https://doi.org/10.1017/S0317167100007575
  3. Błaszczyk, J. W., Orawiec, R., Duda-Kłodowska, D., & Opala, G. (2007). Assessment of postural instability in patients with Parkinson’s disease. Experimental Brain Research, 183(1), 107-114. https://doi.org/10.1007/s00221-007-1024-y
  4. Crétual, A. (2015). Which biomechanical models are currently used in standing posture analysis? Neurophysiologie Clinique/Clinical Neurophysiology, 45(4-5), 285-295. https://doi.org/10.1016/j.neucli.2015.07.004
  5. Cupertino, L., Bersotti, F. M., Novaes, T. M., Mochizuki, L., Shokur, S., Bouri, M.,. & Coelho, D. B. (2025). Effect of medication and freezing of gait on rambling and trembling in quiet standing in individuals with Parkinson’s disease. Motor Control, 29(2), 202-214.
  6. de Oliveira, C. E. N., Ribeiro de Souza, C., Treza, R. C., Hondo, S. M., Los Angeles, E., Bernardo, C.,. & Coelho, D. B. (2022). A public data set with ground reaction forces of human balance in individuals with Parkinson’s disease. Frontiers in Neuroscience, 16, 865882. https://doi.org/10.3389/fnins.2022.865882
  7. De Pasquale, P., Bonanno, M., De Marchis, C., Pergolizzi, L., Lombardo Facciale, A., Paladina, G.,. & Calabrò, R. S. (2025). Beyond clinical scales: An observational study on instrumental gait analysis and biomechanical patterns in patients with Parkinson’s disease. Frontiers in Bioengineering and Biotechnology, 13, 1541240. https://doi.org/10.3389/fbioe.2025.1541240
  8. Feller, K. J., Peterka, R. J., & Horak, F. B. (2019). Sensory re-weighting for postural control in Parkinson’s disease. Frontiers in Human Neuroscience, 13, 126. https://doi.org/10.3389/fnhum.2019.00126
  9. Fujii, S., Takamura, Y., Ikuno, K., Morioka, S., & Kawashima, N. (2024). A comprehensive multivariate analysis of the center of pressure during quiet standing in patients with Parkinson’s disease. Journal of NeuroEngineering and Rehabilitation, 21(1), 59. https://doi.org/10.1186/s12984-024-01358-1
  10. Horak, F. B., Nutt, J. G., & Nashner, L. M. (1992). Postural inflexibility in parkinsonian subjects. Journal of the Neurological Sciences, 111(1), 46-58. https://doi.org/10.1016/0022-510X(92)90111-W
  11. Kalkan, A. C., Kahraman, T., Ugut, B. O., Donmez Colakoglu, B., & Genc, A. (2021). Clinical and laboratory measures of balance and comparison of balance performances according to postural instability and gait disorders in individuals with Parkinson’s disease. Somatosensory & Motor Research, 38(1), 34-40. https://doi.org/10.1080/08990220.2020.1840345
  12. Lee, J. W., Song, Y. S., Kim, H., Ku, B. D., & Lee, W. W. (2019). Alteration of tremor dominant and postural instability gait difficulty subtypes during the progression of Parkinson’s disease: Analysis of the PPMI cohort. Frontiers in Neurology, 10, 471. https://doi.org/10.3389/fneur.2019.00471
  13. Leroy, T., Baggen, R. J., Lefeber, N., Herssens, N., Santens, P., De Letter, M.,. & Van Bladel, A. (2023). Effects of oral levodopa on balance in people with idiopathic Parkinson’s disease. Journal of Parkinson’s Disease, 13(1), 3-23. https://doi.org/10.3233/JPD-223536
  14. Li, Y., Zhao, M., Luo, Z., & Tang, Y. (2026). Which exercise intervention is most promising for Parkinson’s balance? A network meta-analysis. Frontiers in Aging Neuroscience, 18, 1879017. https://doi.org/10.3389/fnagi.2026.1879017
  15. Lonergan, B., Seemungal, B. M., Ciocca, M., & Tai, Y. F. (2025). The effects of deep brain stimulation on balance in Parkinson’s disease as measured using posturography-A narrative review. Brain Sciences, 15(5), 535. https://doi.org/10.3390/brainsci15050535
  16. Marras, C., & Lang, A. (2013). Parkinson’s disease subtypes: Lost in translation? Journal of Neurology, Neurosurgery & Psychiatry, 84(4), 409-415. https://doi.org/10.1136/jnnp-2012-303455
  17. McDonnell, P., Rodger, M., Teixeira, L. A., Mitchell, G., & Doumas, M. (2025). Sensory reweighting for balance in people living with Parkinson’s disease: Postural adaptation, muscle co-contraction, and perceptual delays. Gait & Posture, 117, 342-348. https://doi.org/10.1016/j.gaitpost.2025.01.012
  18. McVey, M. A., Stylianou, A. P., Luchies, C. W., Lyons, K. E., Pahwa, R., Jernigan, S. D., & Mahnken, J. D. (2009). Early biomechanical markers of postural instability in Parkinson’s disease. Gait & Posture, 30(4), 538-542. https://doi.org/10.1016/j.gaitpost.2009.08.232
  19. Mitchell, S. L., Collins, J. J., De Luca, C. J., Burrows, A., & Lipsitz, L. A. (1995). Open-loop and closed-loop postural control mechanisms in Parkinson’s disease: Increased mediolateral activity during quiet standing. Neuroscience Letters, 197(2), 133-136. https://doi.org/10.1016/0304-3940(95)11924-L
  20. Molinero-Martín, E., Fernández-del-Olmo, M. Á., & Luque-Casado, A. (2026). Impaired visual reweighting and adaptive postural control in Parkinson’s disease: Insights from rambling-trembling and stochastic analyses. Parkinsonism & Related Disorders, 150, 108916. https://doi.org/10.1016/j.parkreldis.2026.108916
  21. Prieto, T. E., Myklebust, J. B., Hoffmann, R. G., Lovett, E. G., & Myklebust, B. M. (1996). Measures of postural steadiness: Differences between healthy young and elderly adults. IEEE Transactions on Biomedical Engineering, 43(9), 956-966. https://doi.org/10.1109/10.532130
  22. Ren, J., Hua, P., Li, Y., Pan, C., Yan, L., Yu, C.,. & Liu, W. (2020). Comparison of three motor subtype classifications in de novo Parkinson’s disease patients. Frontiers in Neurology, 11, 601225. https://doi.org/10.3389/fneur.2020.601225
  23. Revilla, F. J., Larsh, T. R., Mani, A., Duker, A. P., Cox, C., Succop, P.,. & Bhattacharya, A. (2013). Effect of dopaminergic medication on postural sway in advanced Parkinson’s disease. Frontiers in Neurology, 4, 202. https://doi.org/10.3389/fneur.2013.00202
  24. Rezvanian, S., Lockhart, T., Frames, C., Soangra, R., & Lieberman, A. (2018). Motor subtypes of Parkinson’s disease can be identified by frequency component of postural stability. Sensors, 18(4), 1102. https://doi.org/10.3390/s18041102
  25. Rocchi, L., Chiari, L., & Horak, F. B. (2002). Effects of deep brain stimulation and levodopa on postural sway in Parkinson’s disease. Journal of Neurology, Neurosurgery & Psychiatry, 73(3), 267-274. https://doi.org/10.1136/jnnp.73.3.267
  26. Russo, M., Amboni, M., Pisani, N., Volzone, A., Calderone, D., Barone, P.,. & Romano, M. (2025). Biomechanics parameters of gait analysis to characterize Parkinson’s disease: A scoping review. Sensors, 25(2), 338. https://doi.org/10.3390/s25020338
  27. Santos, L. H. C. C., de Freitas, P. B., & Freitas, S. M. S. F. (2025). Freezing of gait shapes the postural control of individuals with Parkinson’s disease: Effect of visual information and medication states. Clinical Biomechanics, 122, 106415. https://doi.org/10.1016/j.clinbiomech.2024.106415
  28. Schieppati, M., & Nardone, A. (1991). Free and supported stance in Parkinson’s disease: The effect of posture and postural set on leg muscle responses to perturbation, and its relation to the severity of the disease. Brain, 114(3), 1227-1244. https://doi.org/10.1093/brain/114.3.1227
  29. Schmit, J. M., Riley, M. A., Dalvi, A., Sahay, A., Shear, P. K., Shockley, K. D., & Pun, R. Y. K. (2006). Deterministic center of pressure patterns characterize postural instability in Parkinson’s disease. Experimental Brain Research, 168(3), 357-367. https://doi.org/10.1007/s00221-005-0094-y
  30. Schrag, A., Choudhury, M., Kaski, D., & Gallagher, D. A. (2015). Why do patients with Parkinson’s disease fall? A cross-sectional analysis of possible causes of falls. npj Parkinson’s Disease, 1, 15011. https://doi.org/10.1038/npjparkd.2015.11
  31. Skidmore, F. M., Monroe, W. S., Hurt, C. P., Nicholas, A. P., Gerstenecker, A., Anthony, T.,. & Disbrow, E. A. (2022). The emerging postural instability phenotype in idiopathic Parkinson disease. npj Parkinson’s Disease, 8(1), 28. https://doi.org/10.1038/s41531-022-00287-x
  32. Stebbins, G. T., Goetz, C. G., Burn, D. J., Jankovic, J., Khoo, T. K., & Tilley, B. C. (2013). How to identify tremor dominant and postural instability/gait difficulty groups with the Movement Disorder Society Unified Parkinson’s Disease Rating Scale: Comparison with the Unified Parkinson’s Disease Rating Scale. Movement Disorders, 28(5), 668-670. https://doi.org/10.1002/mds.25383
  33. Su, D., Cui, Y., He, C., Yin, P., Bai, R., Zhu, J.,. & Feng, T. (2025). Projections for prevalence of Parkinson’s disease and its driving factors in 195 countries and territories to 2050: Modelling study of Global Burden of Disease Study 2021. BMJ, 388, e080952. https://doi.org/10.1136/bmj-2024-080952
  34. Thenganatt, M. A., & Jankovic, J. (2014). Parkinson disease subtypes. JAMA Neurology, 71(4), 499-504. https://doi.org/10.1001/jamaneurol.2013.6233
  35. Viitasalo, M. K., Kampman, V., Sotaniemi, K. A., Leppävuori, S., Myllylä, V. V., & Korpelainen, J. T. (2002). Analysis of sway in Parkinson’s disease using a new inclinometry-based method. Movement Disorders, 17(4), 663-669. https://doi.org/10.1002/mds.10023
  36. Visser, M., Marinus, J., Bloem, B. R., Kisjes, H., van den Berg, B. M., & van Hilten, J. J. (2003). Clinical tests for the evaluation of postural instability in patients with Parkinson’s disease. Archives of Physical Medicine and Rehabilitation, 84(11), 1669-1674.
  37. Wesley, J., Rhodes, S., Zeitler, D. W., & Alderink, G. (2025). Approximate and sample entropy of the center of pressure during unperturbed tandem standing: Effect of altering the tolerance window. Applied Sciences, 15(2), 576. https://doi.org/10.3390/app15020576
  38. Winter, D. A. (1995). Human balance and posture control during standing and walking. Gait & Posture, 3(4), 193-214. https://doi.org/10.1016/0966-6362(96)82849-9
  39. Zhang, S., Jia, G., Zhang, R., Lin, J., Chen, Y., Jin, X., & Ning, G. (2019). Measuring the local and global variabilities in body sway by nonlinear Poincaré technology. IEEE Transactions on Instrumentation and Measurement, 68(12), 4817-4824. https://doi.org/10.1109/TIM.2019.2899480
  40. Amisola, L. R. V., Acosta, R. J. B., Arao-Arao, H. M. D., Benitez, V. N. C., Chan, R. M. T., Co, A. K. G.,. & Virata, M. C. A. (2025). Gait analysis for Parkinson’s disease using multiscale entropy. Neurodegenerative Disease Management, 15(5), 245-258. https://doi.org/10.1080/17582024.2025.2510842
  41. Cupertino, L., Bersotti, F. M., Novaes, T. M., Mochizuki, L., Shokur, S., Bouri, M.,. & Coelho, D. B. (2025). Effect of medication and freezing of gait on rambling and trembling in quiet standing in individuals with Parkinson’s disease. Motor Control, 29(2), 202-214.
  42. de Oliveira, C. E. N., Ribeiro de Souza, C., Treza, R. C., Hondo, S. M., Los Angeles, E., Bernardo, C.,. & Coelho, D. B. (2022). A public data set with ground reaction forces of human balance in individuals with Parkinson’s disease. Frontiers in Neuroscience, 16, 865882. https://doi.org/10.3389/fnins.2022.865882
  43. De Pasquale, P., Bonanno, M., De Marchis, C., Pergolizzi, L., Lombardo Facciale, A., Paladina, G.,. & Calabrò, R. S. (2025). Beyond clinical scales: An observational study on instrumental gait analysis and biomechanical patterns in patients with Parkinson’s disease. Frontiers in Bioengineering and Biotechnology, 13, 1541240. https://doi.org/10.3389/fbioe.2025.1541240
  44. Leroy, T., Baggen, R. J., Lefeber, N., Herssens, N., Santens, P., De Letter, M.,. & Van Bladel, A. (2023). Effects of oral levodopa on balance in people with idiopathic Parkinson’s disease. Journal of Parkinson’s Disease, 13(1), 3-23. https://doi.org/10.3233/JPD-223536
  45. Ren, J., Hua, P., Li, Y., Pan, C., Yan, L., Yu, C.,. & Liu, W. (2020). Comparison of three motor subtype classifications in de novo Parkinson’s disease patients. Frontiers in Neurology, 11, 601225. https://doi.org/10.3389/fneur.2020.601225
  46. Revilla, F. J., Larsh, T. R., Mani, A., Duker, A. P., Cox, C., Succop, P.,. & Bhattacharya, A. (2013). Effect of dopaminergic medication on postural sway in advanced Parkinson’s disease. Frontiers in Neurology, 4, 202. https://doi.org/10.3389/fneur.2013.00202
  47. Russo, M., Amboni, M., Pisani, N., Volzone, A., Calderone, D., Barone, P.,. & Romano, M. (2025). Biomechanics parameters of gait analysis to characterize Parkinson’s disease: A scoping review. Sensors, 25(2), 338. https://doi.org/10.3390/s25020338
  48. Skidmore, F. M., Monroe, W. S., Hurt, C. P., Nicholas, A. P., Gerstenecker, A., Anthony, T.,. & Disbrow, E. A. (2022). The emerging postural instability phenotype in idiopathic Parkinson disease. npj Parkinson’s Disease, 8(1), 28. https://doi.org/10.1038/s41531-022-00287-x
  49. Su, D., Cui, Y., He, C., Yin, P., Bai, R., Zhu, J.,. & Feng, T. (2025). Projections for prevalence of Parkinson’s disease and its driving factors in 195 countries and territories to 2050: Modelling study of Global Burden of Disease Study 2021. BMJ, 388, e080952. https://doi.org/10.1136/bmj-2024-080952