Literature DB >> 33499932

Visuo-postural dependency index (VPDI) in human postural control.

Alessander Danna-Dos-Santos1, Maria M Ribeiro Dos Santos2, Alessandra T Magalhães3, Vinicius S Cardoso3, Patricia Driusso4, Luis Mochizuki5, Adriana M Degani6.   

Abstract

BACKGROUND: Computerized stabilometry has been utilized to investigate the effect of vision on the neuromechanisms of human postural control. However, this approach lacks operational methods to quantify visual dependency during upright stance. This study had three goals: (1) To introduce the concept of visuo-postural dependency indices (VPDI) representing balance sway characteristics in multiple analytical domains (spatial, temporal, frequency, and structural), (2) To investigate the age and gender effects on VPDIs, and (3) To investigate the degree of relationships between VPDI and both subjective visual vertical and horizontal perception (SVV and SVH, respectively).
METHODS: 102 participants (16 to 80 years old) performed bipedal stances on a force platform with eyes open and closed. Response variables included the VPDIs computed for each postural index. In addition, 29 participants also performed SVV and SVH assessments.
RESULTS: Fifteen VPDIs showed to be robust indicators of visual input modulation, and the variation across their magnitudes of modulation revealed a non-homogeneous response to changes in visual stimuli. Gender and age were not found to be a significant factor to VPDI modulation.
CONCLUSIONS: VPDIs revealed to be potential measures capable to quantitatively assess visuo-postural dependency and aid the assessment of fall risks and balance impairments.

Entities:  

Keywords:  Aging; Postural control; Visual dependency; Visual perception

Year:  2021        PMID: 33499932      PMCID: PMC7836177          DOI: 10.1186/s13102-021-00235-x

Source DB:  PubMed          Journal:  BMC Sports Sci Med Rehabil        ISSN: 2052-1847


  69 in total

1.  Dynamical structure of center of pressure fluctuations in elderly people.

Authors:  Benoît Seigle; Sofiane Ramdani; Pierre Louis Bernard
Journal:  Gait Posture       Date:  2009-06-02       Impact factor: 2.840

2.  An overview of age-related changes in postural control during quiet standing tasks using classical and modern stabilometric descriptors.

Authors:  Taian de Mello Martins Vieira; Liliam Fernandes de Oliveira; Jurandir Nadal
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3.  Measures of postural steadiness: differences between healthy young and elderly adults.

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Journal:  IEEE Trans Biomed Eng       Date:  1996-09       Impact factor: 4.538

4.  Comparing Postural Stability Entropy Analyses to Differentiate Fallers and Non-fallers.

Authors:  Peter C Fino; Ahmad R Mojdehi; Khaled Adjerid; Mohammad Habibi; Thurmon E Lockhart; Shane D Ross
Journal:  Ann Biomed Eng       Date:  2015-10-13       Impact factor: 3.934

5.  The effects of early stages of aging on postural sway: A multiple domain balance assessment using a force platform.

Authors:  Adriana M Degani; Charles T Leonard; Alessander Danna-Dos-Santos
Journal:  J Biomech       Date:  2017-09-05       Impact factor: 2.712

6.  Test-retest reliability of the sensory organization test in noninstitutionalized older adults.

Authors:  C D Ford-Smith; J F Wyman; R K Elswick; T Fernandez; R A Newton
Journal:  Arch Phys Med Rehabil       Date:  1995-01       Impact factor: 3.966

7.  Clinical use of subjective visual horizontal and vertical in patients of unilateral vestibular neuritis.

Authors:  Kyung Kun Min; Jong Su Ha; Mi Joo Kim; Chang Hyun Cho; Heung Eog Cha; Ju Hyoung Lee
Journal:  Otol Neurotol       Date:  2007-06       Impact factor: 2.311

8.  Entropy of balance--some recent results.

Authors:  Frank G Borg; Gerd Laxåback
Journal:  J Neuroeng Rehabil       Date:  2010-07-30       Impact factor: 4.262

9.  Effect of Postural Control Demands on Early Visual Evoked Potentials during a Subjective Visual Vertical Perception Task in Adolescents with Idiopathic Scoliosis.

Authors:  Yi-Tzu Chang; Ling-Fu Meng; Chun-Ju Chang; Po-Liang Lai; Chi-Wen Lung; Jen-Suh Chern
Journal:  Front Hum Neurosci       Date:  2017-06-30       Impact factor: 3.169

10.  The bucket test differentiates patients with MRI confirmed brainstem/cerebellar lesions from patients having migraine and dizziness alone.

Authors:  Tzu-Pu Chang; Ariel A Winnick; Yung-Chu Hsu; Pi-Yu Sung; Michael C Schubert
Journal:  BMC Neurol       Date:  2019-09-03       Impact factor: 2.474

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