Vertical phoria and postural control in upright stance in healthy young subjects

2008 ◽  
Vol 119 (10) ◽  
pp. 2314-2320 ◽  
Author(s):  
Eric Matheron ◽  
Zoï Kapoula
Keyword(s):  
Postural Control ◽  
Upright Stance ◽  
Young Subjects

Postural Control during Downward Head Movements in Young Subjects

2007 ◽  
Vol 29 (3) ◽  
pp. 205-212
Author(s):  
Junko Fukushima ◽  
Tadayoshi Asaka ◽  
Natsumi Ikeda ◽  
Yumi Ito
Keyword(s):  
Postural Control ◽  
Head Movements ◽  
Young Subjects

scholarly journals Time-to-Boundary Function to Study the Development of Upright Stance Control in Children

2017 ◽  
Vol 11 (1) ◽  
pp. 49-58
Author(s):  
Carmen D'Anna ◽  
Maurizio Schmid ◽  
Andrea Scorza ◽  
Salvatore A. Sciuto ◽  
Luisa Lopez ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Postural Control ◽  
Postural Stability ◽  
Age Groups ◽  
Boundary Function ◽  
Mean Value ◽  
Upright Stance ◽  
Eyes Closed ◽  
The Mean ◽  
Spatio Temporal

Background: The development of postural control across the primary school time horizon is a complex process, which entails biomechanics modifications, the maturation of cognitive ability and sensorimotor organization, and the emergence of anticipatory behaviour. Postural stability in upright stance has been thus object of a multiplicity of studies to better characterize postural control in this age span, with a variety of methodological approaches. The analysis of the Time-to-Boundary function (TtB), which specifies the spatiotemporal proximity of the Centre of Pressure (CoP) to the stability boundaries in the regulation of posture in upright stance, is among the techniques used to better characterize postural stability in adults, but, as of now, it has not yet been introduced in developmental studies. The aim of this study was thus to apply this technique to evaluate the development of postural control in a sample population of primary school children. Methods: In this cross-sectional study, upright stance trials under eyes open and eyes closed were administered to 107 healthy children, divided into three age groups (41 for Seven Years' Group, Y7; 38 for Nine Years' Group, Y9; 28 for Eleven Years' Group, Y11). CoP data were recorded to calculate the Time-to-Boundary function (TtB), from which four spatio-temporal parameters were extracted: the mean value and the standard deviation of TtB minima (Mmin, Stdmin), and the mean value and the standard deviation of the temporal distance between two successive minima (Mdist, Stddist). Results: With eyes closed, Mmin and Stdmin significantly decreased and Mdist and Stddist increased for the Y7 group, at Y9 Mmin significantly decreased and Stddist increased, while no effect of vision resulted for Y11. Regarding age groups, Mmin was significantly higher for Y9 than Y7, and Stdmin for Y9 was higher than both Y7 and Y11; Mdist and Stddist resulted higher for Y11 than for Y9. Conclusion: From the combined results from the spatio-temporal TtB parameters, it is suggested that, at 9 years, children look more efficient in terms of exploring their limits of stability than at 7, and at 11 the observed TtB behaviour hints at the possibility that, at that age, they have almost completed the maturation of postural control in upright stance, also in terms of integration of the spatio-temporal information.

Postural Control in Young and Elderly Adults When Stance is Challenged: Clinical versus Laboratory Measurements

1993 ◽  
Vol 102 (7) ◽  
pp. 508-517 ◽  
Author(s):  
Neil T. Shepard ◽  
Albert Schultz ◽  
Mian Ju Gu ◽  
Neil B. Alexander ◽  
Thomas Boismier
Keyword(s):  
Postural Control ◽  
Laboratory Study ◽  
Lower Limbs ◽  
Measuring System ◽  
Elderly Subjects ◽  
Dynamic Posturography ◽  
Clinical Interpretation ◽  
Healthy Elderly ◽  
Young Subjects

The use of dynamic posturography (EquiTest) for the characterization of postural control biomechanics would be aided by specific knowledge of what the measured data imply about body segment movements. To investigate this issue, the biomechanics of a group of 15 healthy elderly subjects were compared to those of healthy young subjects by using both dynamic posturography and a laboratory movement and force measuring system. The results from EquiTest were analyzed by 1) routine clinical interpretation of data and 2) a clinical research interpretation by subjecting the EquiTest parameters to additional statistical comparison of mean performance of the young and elderly groups. The young-elderly differences from the 2 EquiTest analyses were then compared to the young-elderly differences derived from the laboratory protocol. The routine clinical interpretation of EquiTest data identified the same increases in sway shown by the laboratory study, but did not reveal the more subtle differences indicated by the laboratory study. When the EquiTest data were subjected to additional statistical analysis, the characterization of difference between young and elderly subjects was the same as that of the laboratory study, with the exception of issues of head versus trunk movement, a measure not made by EquiTest. This essential similarity in the characterization of elderly compared to young subjects by both systems suggests 1) that EquiTest is able to detect subtle differences in biomechanics of postural control between young and elderly healthy adult groups and 2) that implied movements of center of gravity, trunk versus lower limbs, and strength of reaction measures are consistently detected by both EquiTest and the laboratory kinematics and dynamics measurement systems.

scholarly journals Visual and proprioceptive contributions to postural control of upright stance in unilateral vestibulopathy

2016 ◽  
Vol 33 (2) ◽  
pp. 72-78 ◽  
Author(s):  
Katrin Eysel-Gosepath ◽  
Christopher McCrum ◽  
Gaspar Epro ◽  
Gert-Peter Brüggemann ◽  
Kiros Karamanidis
Keyword(s):  
Postural Control ◽  
Upright Stance ◽  
Unilateral Vestibulopathy

Stability limits modulate whole-body motor learning

2012 ◽  
Vol 107 (7) ◽  
pp. 1952-1961 ◽  
Author(s):  
Gregory C. Manista ◽  
Alaa A. Ahmed
Keyword(s):  
Postural Control ◽  
Sagittal Plane ◽  
Whole Body ◽  
Robot Arm ◽  
Anticipatory Control ◽  
Upright Stance ◽  
Anticipatory Postural Control ◽  
Margin For Error ◽  
Stability Limits ◽  
Perturbation Direction

Our daily movements exert forces upon the environment and also upon our own bodies. To control for these forces, movements performed while standing are usually preceded by anticipatory postural adjustments (APAs). This strategy is effective at compensating for an expected perturbation, as it reduces the need to compensate for the perturbation in a reactive manner. However, it can also be risky if one anticipates the incorrect perturbation, which could result in movements outside stability limits and a loss of balance. Here, we examine whether the margin for error defined by these stability limits affects the amount of anticipation. Specifically, will one rely more on anticipation when the margin for error is lower? Will the degree of anticipation scale with the margin for error? We took advantage of the asymmetric stability limits (and margins for error) present in the sagittal plane during upright stance and investigated the effect of perturbation direction on the magnitude of APAs. We also compared anticipatory postural control with the anticipatory control observed at the arm. Standing subjects made reaching movements to multiple targets while grasping the handle of a robot arm. They experienced forward or backward perturbing forces depending on the target direction. Subjects learned to anticipate the forces and generated APAs. Although subjects had the biomechanical capacity to adapt similarly in the forward and backward directions, APAs were reduced significantly in the backward direction, which had smaller stability limits and a smaller margin for error. Interestingly, anticipatory control produced at the arm, where stability limits are not as relevant, was not affected by perturbation direction. These results suggest that stability limits modulate anticipatory control, and reduced stability limits lead to a reduction in anticipatory postural control.

Effect of Head Orientation on Postural Control during Upright Stance and Forward Lean

Motor Control ◽  
2012 ◽  
Vol 16 (1) ◽  
pp. 81-93 ◽  
Author(s):  
Molly B. Johnson ◽  
Richard E.A. Van Emmerik
Keyword(s):  
Postural Control ◽  
Head Orientation ◽  
Upright Stance

scholarly journals Relationship between postural control in upright stance and virtual reality in post-stroke individuals

2020 ◽  
Vol 33 ◽  
Author(s):  
João Paulo Paes ◽  
Alaércio Perotti Junior ◽  
Ana Maria Forti Barela ◽  
José Angelo Barela
Keyword(s):  
Virtual Reality ◽  
Postural Control ◽  
Center Of Pressure ◽  
Mean Amplitude ◽  
Berg Balance Scale ◽  
Upright Stance ◽  
Nintendo Wii ◽  
Mean Velocity ◽  
Post Stroke ◽  
Time Required

Abstract Introduction: Considered the second leading cause of death worldwide, stroke leads to several consequences resulting from the injury in regions responsible for the processing of sensorimotor information, leading to deficits in the maintenance and performance of postural control. Objective: To relate the performance of postural control during upright stance and a virtual reality task in post-stroke individuals. Method: Nine post-stroke individuals, aged 30 to 76 years, characterized by the Berg balance scale, Fugl - Meyer scale and Mini Mental State Examination participated in this study. Postural performance was measured by the center of pressure under bipedal conditions, in anteroposterior and mediolateral directions and unipedal with the affected and unaffected sides, using a force platform. Virtual reality performance was measured by distance and time required to perform a task in the Nintendo Wii®. Results: Revealed significant correlations between distance and displacement time of the affected side (distance x disc_affected = 0.667 | p = 0.025; time x disc_affected = 0.683 | p = 0.021) and between variables time and mean amplitude of mediolateral oscillation (time x amo_ml = -0.733 | p = 0.012), time and mediolateral and anteroposterior mean velocity (time x vm_ml = -0.617 | p = 0.038; time x vm_ap = -0.833 | p = 0.003) and between time and area (time x area = -0.633 | p = 0.034). Conclusion: the performance of standing postural control in post-stroke individuals, represented by measures of weight discharge and variables of postural control, presented a significant relation with the variables of virtual reality.

Sign in / Sign up

Export Citation Format

Share Document