Literature DB >> 29674286

Longitudinal changes over thirty-six months in postural control dynamics and cognitive function in people with Parkinson's disease.

Annette Pantall1, Silvia Del Din2, Lynn Rochester3.   

Abstract

BACKGROUND: Postural instability is a common motor feature in people with Parkinson's disease (PD) together with non-motor features such as cognitive dysfunction. Management of postural instability is challenging as it is often resistant to dopaminergic therapy. Greater knowledge of postural control is essential to understand postural instability in PD. RESEARCH QUESTION: This study aimed to answer how postural control differs in people with PD compared to healthy older adults (HOA). Additionally, postural control changes over a 36 month period and its relationship to cognitive impairment and motor scores were investigated.
METHODS: The study group consisted of 50 people diagnosed with PD and 59 HOAs, recruited as part of an incident cohort study (ICICLE-GAIT). Participants stood still for 2 min, eyes open and arms by their side. A single tri-axial accelerometer (Axivity AX3, York, UK) on the lower back recorded acceleration. Measurements were taken at 18, 36 and 54 months after recruitment. Sample entropy (SampEn), which measures signal predictability, was determined for the accelerometry data. Cognitive tests included the Montreal Cognitive Assessment and the Unified Parkinson's Disease Rating Scale (UPDRS III) quantified motor function. Linear mixed models, regression analysis and correlation analysis were applied to the data.
RESULTS: indicated that SampEn was greater for the PD group at all three time-points and along all three axes. However, there was no increase of SampEn with disease progression. Higher SampEn values were associated with greater cognitive impairment and lower UPDRS III, although correlations were weak. There was a difference between axial directions and cognitive and motor scores. SIGNIFICANCE: People with PD exhibit decreased regularity of trunk dynamics when standing compared to HOAs. Nonlinear accelerometer metrics along all three axes are therefore a potential biomarker of PD. The relationship between trunk dynamics and cognitive function indicates common neural pathways.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Accelerometer; Cognition; Motor function; Nonlinear; Posture; Sample entropy

Mesh:

Year:  2018        PMID: 29674286     DOI: 10.1016/j.gaitpost.2018.04.016

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.746


  7 in total

1.  Reliability, Validity and Utility of Inertial Sensor Systems for Postural Control Assessment in Sport Science and Medicine Applications: A Systematic Review.

Authors:  William Johnston; Martin O'Reilly; Rob Argent; Brian Caulfield
Journal:  Sports Med       Date:  2019-05       Impact factor: 11.136

2.  Sample entropy discriminates balance performance of older cannabis users from non-users.

Authors:  Craig D Workman; Jacob J Sosnoff; Thorsten Rudroff
Journal:  Clin Biomech (Bristol, Avon)       Date:  2022-02-04       Impact factor: 2.063

3.  Quantitative Digitography Measures Motor Symptoms and Disease Progression in Parkinson's Disease.

Authors:  Kevin B Wilkins; Matthew N Petrucci; Yasmine Kehnemouyi; Anca Velisar; Katie Han; Gerrit Orthlieb; Megan H Trager; Johanna J O'Day; Sudeep Aditham; Helen Bronte-Stewart
Journal:  J Parkinsons Dis       Date:  2022       Impact factor: 5.520

4.  Quantitative clinical assessment of motor function during and following LSVT-BIG® therapy.

Authors:  Matthew W Flood; Ben P F O'Callaghan; Paul Diamond; Jérémy Liegey; Graham Hughes; Madeleine M Lowery
Journal:  J Neuroeng Rehabil       Date:  2020-07-13       Impact factor: 4.262

Review 5.  The Role of Movement Analysis in Diagnosing and Monitoring Neurodegenerative Conditions: Insights from Gait and Postural Control.

Authors:  Christopher Buckley; Lisa Alcock; Ríona McArdle; Rana Zia Ur Rehman; Silvia Del Din; Claudia Mazzà; Alison J Yarnall; Lynn Rochester
Journal:  Brain Sci       Date:  2019-02-06

6.  Entropy of Real-World Gait in Parkinson's Disease Determined from Wearable Sensors as a Digital Marker of Altered Ambulatory Behavior.

Authors:  Lucy Coates; Jian Shi; Lynn Rochester; Silvia Del Din; Annette Pantall
Journal:  Sensors (Basel)       Date:  2020-05-05       Impact factor: 3.847

7.  Reliability of IMU-Derived Static Balance Parameters in Neurological Diseases.

Authors:  Clint Hansen; Maximilian Beckbauer; Robbin Romijnders; Elke Warmerdam; Julius Welzel; Johanna Geritz; Kirsten Emmert; Walter Maetzler
Journal:  Int J Environ Res Public Health       Date:  2021-03-31       Impact factor: 3.390

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.