Literature DB >> 26304718

Compensatory postural adjustments in Parkinson's disease assessed via a virtual reality environment.

Darya Yelshyna1, Miguel F Gago2, Estela Bicho1, Vítor Fernandes1, Nuno F Gago1, Luís Costa1, Hélder Silva1, Maria Lurdes Rodrigues3, Luís Rocha1, Nuno Sousa4.   

Abstract

Postural control is a complex dynamic mechanism, which integrates information from visual, vestibular and somatosensory systems. Idiopathic Parkinson's disease (IPD) patients are unable to produce appropriate reflexive responses to changing environmental conditions. Still, it is controversial what is due to voluntary or involuntary postural control, even less what is the effect of levodopa. We aimed to evaluate compensatory postural adjustments (CPA), with kinematic and time-frequency analyzes, and further understand the role of dopaminergic medication on these processes. 19 healthy subjects (Controls) and 15 idiopathic Parkinson's disease (IPD) patients in the OFF and ON medication states, wearing IMUs, were submitted to a virtual reality scenario with visual downward displacements on a staircase. We also hypothesized if CPA would involve mechanisms occurring in distinct time scales. We subsequently analyzed postural adjustments on two frequency bands: low components between 0.3 and 1.5 Hz (LB), and high components between 1.5 and 3.5 Hz (HB). Vertical acceleration demonstrated a greater power for discriminating IPD patients from healthy subjects. Visual perturbation significantly increased the power of the HB in all groups, being particularly more evident in the OFF state. Levodopa significantly increased their basal power taking place on the LB. However, controls and IPD patients in the ON state revealed a similar trend of the control mechanism. Results indicate an improvement in muscular stiffness provided by levodopa. They also suggest the role of different compensatory postural adjustment patterns, with LB being related to inertial properties of the oscillating mass and HB representing reactions to the ongoing visual input-changing scenario.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Compensatory postural adjustments; Idiopathic Parkinson’s disease; Kinematics; Time-frequency distribution; Virtual reality

Mesh:

Substances:

Year:  2015        PMID: 26304718     DOI: 10.1016/j.bbr.2015.08.017

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  6 in total

1.  Control of vertical posture while elevating one foot to avoid a real or virtual obstacle.

Authors:  Hirofumi Ida; Sambit Mohapatra; Alexander Aruin
Journal:  Exp Brain Res       Date:  2017-03-07       Impact factor: 1.972

Review 2.  How Wearable Sensors Can Support Parkinson's Disease Diagnosis and Treatment: A Systematic Review.

Authors:  Erika Rovini; Carlo Maremmani; Filippo Cavallo
Journal:  Front Neurosci       Date:  2017-10-06       Impact factor: 4.677

3.  Compensatory Postural Adjustments in an Oculus Virtual Reality Environment and the Risk of Falling in Alzheimer's Disease.

Authors:  Miguel F Gago; Darya Yelshyna; Estela Bicho; Hélder David Silva; Luís Rocha; Maria Lurdes Rodrigues; Nuno Sousa
Journal:  Dement Geriatr Cogn Dis Extra       Date:  2016-06-25

4.  Using Kinect v2 to Control a Laser Visual Cue System to Improve the Mobility during Freezing of Gait in Parkinson's Disease.

Authors:  Amin Amini; Konstantinos Banitsas
Journal:  J Healthc Eng       Date:  2019-02-20       Impact factor: 2.682

5.  Effects of virtual reality rehabilitation training on gait and balance in patients with Parkinson's disease: A systematic review.

Authors:  Cheng Lei; Kejimu Sunzi; Fengling Dai; Xiaoqin Liu; Yanfen Wang; Baolu Zhang; Lin He; Mei Ju
Journal:  PLoS One       Date:  2019-11-07       Impact factor: 3.240

6.  Use of Immersive Virtual Reality in the Assessment and Treatment of Alzheimer's Disease: A Systematic Review.

Authors:  Felix Clay; David Howett; James FitzGerald; Paul Fletcher; Dennis Chan; Annabel Price
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

  6 in total

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