Postural Dynamics Are Associated With Cognitive Decline in Parkinson's Disease

Pantall, Annette; Suresparan, Piriya; Kapa, Leanne; Morris, Rosie; Yarnall, Alison J.; Din, Silvia Del; Rochester, Lynn

doi:10.3389/fneur.2018.01044

Cited by 29 publications

(35 citation statements)

References 70 publications

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“…As PD progresses, non-dopaminergic motor circuits are also involved, exacerbating the axial motor features that do not usually respond to standard antiparkinsonian medication [3,4]. Gradual deterioration of muscle strength, balance, and gait, causes postural instability and immobility [5], which considerably diminish quality of life, and are known as risk factors for fall [6,7]. Several studies suggested rehabilitation as an adjuvant to pharmacological and surgical treatments [1,8], which is proven to slow down the progression of PD and act as a neuroprotective strategy [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…Multipoint-assessment design is generally used to evaluate the follow-up lasting effects of an applied surgical [3] or physical [6,27] therapy, or to investigate the natural progression of L-dopa treated PD [2,7]. To the best of our knowledge, there is no study which investigated the learning dynamics in postural control during a balance-training program.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Postural control learning dynamics in Parkinson’s disease: early ‎improvement with plateau in stability, and continuous progression in ‎flexibility and mobility

Rahmati

Behzadipour

Schouten

et al. 2020

Preprint

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Background: Balance training improves postural control in Parkinson’s disease (PD). However, a systematic approach for the development of individualized, optimal training programs is still lacking, as the learning dynamics of the postural control in PD, over a training program are poorly understood.Methods: We explored the learning dynamics of the postural control in PD, during a balance-training program, in terms of the clinical, posturographic, and model-based measures. Twenty patients with PD participated in a balance-training program, 3 days a week, for 6 weeks. Clinical tests assessed functional balance and mobility pre-training, mid-training, and post-training. Center-of-pressure (COP) was recorded at four time-points during the training (pre-, week 2, week 4, and post-training). COP was used to calculate the sway measures and to identify the parameters of a patient-specific postural control model, at each time-point (stability and flexibility degree). The posturographic and model-based measures constituted the two sets of stability- and flexibility-related measures.Results: Mobility- and flexibility-related measures showed a continuous improvement during the balance-training program. In particular, mobility improved at mid-training and continued to improve to the end of the training, whereas flexibility-related measures reached significance only at the end. The progression in the balance- and stability-related measures was characterized by early improvements over the first three to four weeks of training, and reached a plateau for the rest of the training. Conclusions: The progression in balance and postural stability is achieved earlier and susceptible to plateau out, while mobility and flexibility continues to improve during balance training.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Postural control learning dynamics in Parkinson’s disease: early ‎improvement with plateau in stability, and continuous progression in ‎flexibility and mobility

Rahmati

Behzadipour

Schouten

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Jerk RMS is a measure of the amplitude of the rate of change in acceleration, allowing for the measurement of the "constraint" of movement during the YBT reach excursions by quantifying the smoothness of the movement. 25,26 The mean of the three maximal reach attempts in each reach direction was obtained for each variable (normalized reach distance; Gyro SEn; Jerk RMS), to ensure measurement reliability. The signal processing and data analysis was conducted using MATLAB (2018b, MathWorks, Natwick).…”

Section: Signal Processing and Data Analysismentioning

confidence: 99%

Athletes with a concussion history in the last two years have impairments in dynamic balance performance

Heiderscheit

Sanfilippo

Brooks

et al. 2020

Scandinavian Med Sci Sports

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The purpose of this study was to determine if National Collegiate Athletics Association Division 1 American Football and Ice Hockey athletes with a history of concussion have impaired dynamic balance control when compared to healthy control athletes. This cross‐sectional observational study recruited 146 athletes; 90 control athletes and 56 athletes with a history of concussion. Athletes were tested during a pre‐season evaluation using the inertial‐sensor instrumented Y Balance Test. Independent variables were normalized reach distance, gyroscope magnitude sample entropy, and jerk magnitude root mean square. Kruskal‐Wallis H test and Dunn‐Bonferroni analysis demonstrated that individuals with a concussion history within the last 2 years have statistically significantly lower jerk magnitude root mean square in the posteromedial (Z = 23.22, P = .015) and posterolateral (Z = 24.64, P = .010) reach directions, when compared to the control group. There was no significant difference between those who sustained a concussion longer than two years ago and the control group for the posteromedial (Z = −1.25; P = .889) and posterolateral (Z = 6.44; P = .469) directions. These findings show that athletes with a concussion history within the last two years possess dynamic balance deficits, when compared to healthy control athletes. Conversely, athletes whose injury occurred greater than 2 years ago possessed comparable performance to the healthy controls. This suggests that sensorimotor control deficits may persist beyond clinical recovery, for up to 2 years. Therefore, clinicians should integrate balance training interventions into the return‐to‐play process to accelerate sensorimotor recovery and mitigate the risk of future injury.

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“…The majority of RCTs are designed with assessments at baseline and follow-up after intervention; and only a few used intermediate assessments during a training program [24][25][26]. Multipoint-assessment design is generally used to evaluate the follow-up lasting effects of an applied surgical [3] or physical [6,27] therapy, or to investigate the natural progression of L-dopa treated PD [2,7]. To the best of our knowledge, there is no study which investigated the learning dynamics in postural control during a balance-training program.…”

Section: Introductionmentioning

confidence: 99%

Postural control learning dynamics in Parkinson’s disease: early ‎improvement with plateau in stability, and continuous progression in ‎flexibility and mobility

Rahmati

Behzadipour

Schouten

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Balance training improves postural control in Parkinson’s disease (PD). However, a systematic approach for the development of individualized, optimal training programs is still lacking, as the learning dynamics of the postural control in PD, over a training program are poorly understood. Objectives: We investigated the learning dynamics of the postural control in PD, during a balance-training program, in terms of the clinical, posturographic, and novel model-based measures. Methods: Twenty patients with PD participated in a balance-training program, 3 days a week, for 6 weeks. Clinical tests assessed functional balance and mobility pre-training, mid-training, and post-training. Center-of-pressure (COP) was recorded at four time-points during the training (pre-, week 2, week 4, and post-training). COP was used to calculate the sway measures and to identify the parameters of a patient-specific postural control model, at each time-point. The posturographic and model-based measures constituted the two sets of stability- and flexibility-related measures. Results: Mobility- and flexibility-related measures showed a continuous improvement during the balance-training program. In particular, mobility improved at mid-training and continued to improve to the end of the training, whereas flexibility-related measures reached significance only at the end. The progression in the balance- and stability-related measures was characterized by early improvements over the first three to four weeks of training, and reached a plateau for the rest of the training. Conclusions: The progression in balance and postural stability is achieved earlier and susceptible to plateau out, while mobility and flexibility continues to improve during the balance training.

show abstract

Postural Dynamics Are Associated With Cognitive Decline in Parkinson's Disease

Cited by 29 publications

References 70 publications

Postural control learning dynamics in Parkinson’s disease: early ‎improvement with plateau in stability, and continuous progression in ‎flexibility and mobility

Postural control learning dynamics in Parkinson’s disease: early ‎improvement with plateau in stability, and continuous progression in ‎flexibility and mobility

Athletes with a concussion history in the last two years have impairments in dynamic balance performance

Postural control learning dynamics in Parkinson’s disease: early ‎improvement with plateau in stability, and continuous progression in ‎flexibility and mobility

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