The functional role of central and peripheral vision in the control of posture

Berencsi, Andrea; Ishihara, Masami; Imanaka, Kuniyasu

doi:10.1016/j.humov.2005.10.014

Cited by 113 publications

(84 citation statements)

References 27 publications

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“…In the present study, changes in the visual condition affected more the COP mean velocity in the A/P direction than in the M/L, which is in accordance with Berencsi et al (2005), Jeka et al (2008), Ray et al (2008) and Sozzi et al (2011). Moreover, the Romberg Quotient of Vm (RQ V ) in the A/P direction does not statistically (p = 0.44) differ from that in the (x,y) plane (t-student, α = 0.05) and hence they provide similar information, as reported by Cornilleau-Pérès et al (2005).…”

Section: Discussionsupporting

confidence: 91%

Investigating the center of pressure velocity Romberg s quotient for assessing the visual role on the body sway

Silva

Nadal²,

Infantosi³

2012

RBEB

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The classical Romberg's test based on stabilometric tests in eyes open (EO) and closed (EC) conditions was used for investigating the influence of visual feedback in the body sway control in healthy adult subjects. Stabilograms from 144 subjects (aged 18-40) resting over a force platform were recorded for 30 s in EO and 30 s in EC conditions. The mean velocity was obtained for EO (Vm EO ) and EC (Vm EC ) in both anterior-posterior (y) and medial-lateral (x) directions and in the (x,y) plane, and thus used for computing the respective Romberg's quotient (RQ V ). All Vm and RQ V parameter histograms presented unimodal asymmetric shapes, which were adequately fitted to lognormal distributions (Kolmogorov-Smirnov test, p > 0.05). These findings suggest a single homogeneous group in terms of visual strategy. Taking the threshold scores (95% confidence interval) of the Vm and RQ V distributions, only four subjects (2.7%) presented values below the lower limit, as expected by the confidence level (two tailed, 5%). A strong dependence was also found between each RQ V and the respective Vm EC (Spear correlation ≥ 0.86, R 2 ≥ 74.0%), with Vm EO presenting almost negligible coefficients of determination (R 2 ≤ 2.9%). One can conclude that RQ V derived from a single stabilometric trial could be not sufficient for the diagnosis of body sway control impairment by vision. Nevertheless, the RQ V could be useful to indicate subjects to carry out additional tests to investigate a possible deficit in the integration of the visual information in the postural control system. Keywords Body sway control, Center of pressure velocity, Lognormal distribution, Romberg's test, Visual system. p > 0,05 Avaliando a importância da visão nas oscilações posturais utilizando o quociente de Romberg da velocidade do centro de pressão Resumo O Teste de Romberg clássico, baseado em testes estabilométricos nas condições de olhos abertos (EO) e fechados (EC), tem sido utilizado para investigar a influência da realimentação visual no controle das oscilações posturais em sujeitos adultos saudáveis. Estabilogramas de 144 sujeitos (18 a 40 anos) em posição ortostática sobre uma plataforma de força foram coletados durante 30 s na condição EO e 30 s em EC. As velocidades médias para EO (VmEO) e EC (VmEC), obtidas nas direções anteroposterior (y), mediolateral (x) e no plano (x,y), foram utilizadas no cálculo dos respectivos quocientes de Romberg (RQV). Os histogramas dos parâmetros Vm e RQV apresentaram morfologia unimodal assimétrica, aos quais foram ajustadas distribuições lognormais (Teste de

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Section: Discussionsupporting

confidence: 91%

Investigating the center of pressure velocity Romberg s quotient for assessing the visual role on the body sway

Silva

Nadal²,

Infantosi³

2012

RBEB

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“…So, subjects can better control their stability in AP direction. This result is coherent with some previous studies showing that in the direction of head and gazes, subjects can better maintain their stability [21][22][23].…”

Section: Directional Specificity Effectssupporting

confidence: 92%

Discrete wavelet and modified PCA decompositions for postural stability analysis in biometric applications

Maatar¹,

Fournier²,

Lachiri³

et al. 2011

JBiSE

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The aim of this study is to compare the Discrete wavelet decomposition and the modified Principal Analysis Component (PCA) decomposition to analyze the stabilogram for the purpose to provide a new insight about human postural stability. Discrete wavelet analysis is used to decompose the stabilogram into several timescale components (i.e. detail wavelet coefficients and approximation wavelet coefficients). Whereas, the modified PCA decomposition is applied to decompose the stabilogram into three components, namely: trend, rambling and trembling. Based on the modified PCA analysis, the trace of analytic trembling and rambling in the complex plan highlights a unique rotation center. The same property is found when considering the detail wavelet coefficients. Based on this property, the area of the circle in which 95% of the trace's data points are located, is extracted to provide important information about the postural equilibrium status of healthy subjects (average age 31 ± 11 years). Based on experimental results, this parameter seems to be a valuable parameter in order to highlight the effect of visual entries, stabilogram direction, gender and age on the postural stability. Obtained results show also that wavelets and the modified PCA decomposition can discriminate the subjects by gender which is particularly interesting in biometric applications and human stability simulation. Moreover, both techniques highlight the fact that male are less stable than female and the fact that there is no correlation between human stability and his age (under 60).

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“…It is inferred that people can stabilize posture during an upright standing posture by using visual information within 2.5 degrees of the central visual field, because both groups' sway velocity decreased in the central vision condition compared with the no vision condition. Berencsi et al (2005) and Wada and Sasaki (1990) reported that the COP sway area became smaller when visual information was presented in the central visual field compared with no visual information, although neither measured sway velocity. Further, Turano et al (1996) compared COP sway between patients with central visual field loss and normal controls when presenting static visual stimulation plus somatesthesic interference stimulation to alter the participants' somatosensory feedback, and they reported that the COP was larger in the participants with a field loss.…”

Section: Discussionmentioning

confidence: 99%

Low Visual Acuity is Associated with the Decrease in Postural Sway

Uchiyama

Demura

2008

Tohoku J. Exp. Med.

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Vision contributes to upright postural control by providing afferent feedback to the cerebellum. Vision is generally classified into central and peripheral vision, but little is known about the respective role of central and peripheral vision for postural control with different visual acuity levels. This study examined the influence of visual acuity and visual field conditions on upright posture. Eleven males (21.1 ± 2.0 yrs) and 15 females (22.2 ± 2.2 yrs) were classified into high (above 1.0 binocular vision) and low (below 0.3) visual acuity groups. Postural sway was measured for 1 min in each of three visual field conditions (central vision, full vision, and no vision). Participants were given only central visual information (central vision), central and peripheral visual information (full vision), or no visual information (no vision). The effect of central vision on postural sway was detected as a difference between no vision and central vision conditions, and the effect of peripheral vision was assessed as a difference between central vision and full vision conditions. The low visual acuity group decreased their sway amplitude in antero-posterior direction using central plus peripheral visual information, but the high visual-acuity group did not. The high frequency sway was significantly smaller in the low visual-acuity group than that in the high visual-acuity group under the no vision and central vision conditions. These findings suggest the necessity of considering participants' visual acuity in examining the role of the visual information from the central and peripheral visual fields. postural control; visual acuity; upright stance; center of pressure; healthy young adults.Tohoku

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The functional role of central and peripheral vision in the control of posture

Cited by 113 publications

References 27 publications

Investigating the center of pressure velocity Romberg s quotient for assessing the visual role on the body sway

Investigating the center of pressure velocity Romberg s quotient for assessing the visual role on the body sway

Discrete wavelet and modified PCA decompositions for postural stability analysis in biometric applications

Low Visual Acuity is Associated with the Decrease in Postural Sway

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