Changes in visual function after intraocular pressure reduction using antiglaucoma medications

Purpose To evaluate the change in visual function after starting glaucoma treatment and correlate this to a decrease in intraocular pressure (IOP) in primary open-angle glaucoma patients.Methods A prospective, randomized clinical trial was carried out involving 54 glaucoma patients (54 eyes). After inclusion, patients randomly received timolol maleate 0.5%, brimonidine tartrate 0.2%, or travoprost 0.004% in one randomly selected eye. Patients underwent Goldmann applanation tonometry, visual acuity test, standard automated perimetry (SAP), visual quality perception test (visual analogue scale), and contrast sensitivity (CS) test, in a random order before and after the 4-week glaucoma treatment.Results There were statistically significant changes in IOP (mean change [standard deviation], 7.8 [3.6] mmHg, P 0.001), SAP mean deviation index (0.84 [2.45] dB, P = 0.02), visual quality perception (0.56 [1.93], P = 0.045), and CS at frequencies of 12 cycles/degree (0.10 [0.37], P = 0.03) and 18 cycles/degree (0.18 [0.42], P = 0.02) after the 4-week treatment when compared with baseline. No statistically significant differences were found between the treatment groups in visual function changes after treatment (P > 0.40). No significant correlations between IOP reduction and changes in visual function were found (P > 0.30).Conclusions Visual quality perception, visual field mean deviation index, and CS at higher frequencies improve after starting glaucoma therapy. However, no correlation was found between IOP reduction and changes in visual function, and no differences were found in visual function when the three medications studied were compared. Eye (2009) 23, 1081-1085; doi:10.1038/eye.2008.226; published online 1 August 2008Universidade Federal de São Paulo, Glaucoma Serv, Dept Ophthalmol, BR-01404001 São Paulo, BrazilUniversidade Federal de São Paulo, Glaucoma Serv, Dept Ophthalmol, BR-01404001 São Paulo, BrazilWeb of Scienc

NICE : A Computational solution to close the gap from colour perception to colour categorization

The segmentation of visible electromagnetic radiation into chromatic categories by the human visual system has been extensively studied from a perceptual point of view, resulting in several colour appearance models. However, there is currently a void when it comes to relate these results to the physiological mechanisms that are known to shape the pre-cortical and cortical visual pathway. This work intends to begin to fill this void by proposing a new physiologically plausible model of colour categorization based on Neural Isoresponsive Colour Ellipsoids (NICE) in the cone-contrast space defined by the main directions of the visual signals entering the visual cortex. The model was adjusted to fit psychophysical measures that concentrate on the categorical boundaries and are consistent with the ellipsoidal isoresponse surfaces of visual cortical neurons. By revealing the shape of such categorical colour regions, our measures allow for a more precise and parsimonious description, connecting well-known early visual processing mechanisms to the less understood phenomenon of colour categorization. To test the feasibility of our method we applied it to exemplary images and a popular ground-truth chart obtaining labelling results that are better than those of current state-of-the-art algorithms

Racism as a determinant of health: a systematic review and meta-analysis

Despite a growing body of epidemiological evidence in recent years documenting the health impacts of racism, the cumulative evidence base has yet to be synthesized in a comprehensive meta-analysis focused specifically on racism as a determinant of health. This meta-analysis reviewed the literature focusing on the relationship between reported racism and mental and physical health outcomes. Data from 293 studies reported in 333 articles published between 1983 and 2013, and conducted predominately in the U.S., were analysed using random effects models and mean weighted effect sizes. Racism was associated with poorer mental health (negative mental health: r = -.23, 95% CI [-.24,-.21], k = 227; positive mental health: r = -.13, 95% CI [-.16,-.10], k = 113), including depression, anxiety, psychological stress and various other outcomes. Racism was also associated with poorer general health (r = -.13 (95% CI [-.18,-.09], k = 30), and poorer physical health (r = -.09, 95% CI [-.12,-.06], k = 50). Moderation effects were found for some outcomes with regard to study and exposure characteristics. Effect sizes of racism on mental health were stronger in cross-sectional compared with longitudinal data and in non-representative samples compared with representative samples. Age, sex, birthplace and education level did not moderate the effects of racism on health. Ethnicity significantly moderated the effect of racism on negative mental health and physical health: the association between racism and negative mental health was significantly stronger for Asian American and Latino(a) American participants compared with African American participants, and the association between racism and physical health was significantly stronger for Latino(a) American participants compared with African American participants.<br /

The MC1R gene in the guppy (Poecilia reticulata): Genotypic and phenotypic polymorphisms

<p>Abstract</p> <p>Background</p> <p>The guppy (<it>Poecilia reticulata</it>) is an important model organism for studying sexual selection; male guppies have complex and conspicuous pigmentation, and female guppies exhibit preferences for males with specific color spots. Understanding the genetic basis underlying pigmentation variation in the guppy is important for exploring the factors causing the maintenance of color polymorphism in wild populations.</p> <p>Findings</p> <p>We focused on the melanic black pigmentation of guppies, and examined genetic variations in the <it>melanocortin 1 receptor </it>(<it>MC1R</it>) gene because variation in this gene is known to contribute to polymorphism of melanin pigmentation in several animal species. The complete coding sequence of the guppy <it>MC1R </it>gene was determined, and two different <it>MC1R </it>alleles (963 and 969 bp) were found in wild populations. Ornamental strain guppies with a 963-bp <it>MC1R </it>tended to show less black pigmentation than those with a 969-bp <it>MC1R</it>, although the association between <it>MC1R </it>genotype and black pigmentation disappeared in the F₂offspring.</p> <p>Conclusions</p> <p>The guppy <it>MC1R </it>gene showed variation in the five wild Trinidadian populations we examined, and these populations also differed in terms of allele frequencies. We identified a significant association between black pigmentation and <it>MC1R </it>genotype in fish obtained from aquarium shops. However, the results from F₂families suggest that there are other genes that modify the effects of the <it>MC1R </it>gene.</p

Grid-texture mechanisms in human vision:contrast detection of regular sparse micro-patterns requires specialist templates

Previous work has shown that human vision performs spatial integration of luminance contrast energy, where signals are squared and summed (with internal noise) over area at detection threshold. We tested that model here in an experiment using arrays of micro-pattern textures that varied in overall stimulus area and sparseness of their target elements, where the contrast of each element was normalised for sensitivity across the visual field. We found a power-law improvement in performance with stimulus area, and a decrease in sensitivity with sparseness. While the contrast integrator model performed well when target elements constituted 50–100% of the target area (replicating previous results), observers outperformed the model when texture elements were sparser than this. This result required the inclusion of further templates in our model, selective for grids of various regular texture densities. By assuming a MAX operation across these noisy mechanisms the model also accounted for the increase in the slope of the psychometric function that occurred as texture density decreased. Thus, for the first time, mechanisms that are selective for texture density have been revealed at contrast detection threshold. We suggest that these mechanisms have a role to play in the perception of visual textures

Shear Wave Splitting Analysis to Estimate Fracture Orientation and Frequency Dependent Anisotropy

Shear wave splitting is a well-known method for indication of orientation, radius, and length of fractures in subsurface layers. In this paper, a three component near offset VSP data acquired from a fractured sandstone reservoir in southern part of Iran was used to analyse shear wave splitting and frequency-dependent anisotropy assessment. Polarization angle obtained by performing rotation on radial and transverse components of VSP data was used to determine the direction of polarization of fast shear wave which corresponds to direction of fractures. It was shown that correct implementation of shear wave splitting analysis can be used for determination of fracture direction. During frequency- dependent anisotropy analysis, it was found that the time delays in shear- waves decrease as the frequency increases. It was clearly demonstrated throughout this study that anisotropy may have an inverse relationship with frequency. The analysis presented in this paper complements the studied conducted by other researchers in this field of research

What do contrast threshold equivalent noise studies actually measure? Noise vs. nonlinearity in different masking paradigms

The internal noise present in a linear system can be quantified by the equivalent noise method. By measuring the effect that applying external noise to the system’s input has on its output one can estimate the variance of this internal noise. By applying this simple “linear amplifier” model to the human visual system, one can entirely explain an observer’s detection performance by a combination of the internal noise variance and their efficiency relative to an ideal observer. Studies using this method rely on two crucial factors: firstly that the external noise in their stimuli behaves like the visual system’s internal noise in the dimension of interest, and secondly that the assumptions underlying their model are correct (e.g. linearity). Here we explore the effects of these two factors while applying the equivalent noise method to investigate the contrast sensitivity function (CSF). We compare the results at 0.5 and 6 c/deg from the equivalent noise method against those we would expect based on pedestal masking data collected from the same observers. We find that the loss of sensitivity with increasing spatial frequency results from changes in the saturation constant of the gain control nonlinearity, and that this only masquerades as a change in internal noise under the equivalent noise method. Part of the effect we find can be attributed to the optical transfer function of the eye. The remainder can be explained by either changes in effective input gain, divisive suppression, or a combination of the two. Given these effects the efficiency of our observers approaches the ideal level. We show the importance of considering these factors in equivalent noise studies

Visual acuity of dentists in their respective clinical conditions

OBJECTIVES This study examined the impact of age and magnification on the near visual acuity of dentists in their private practice under simulated clinical conditions. MATERIALS AND METHODS Miniaturized visual tests were fixed in posterior teeth of a dental phantom head and brought to 31 dentists in their respective private practice. The visual acuity of these dentists (n = 19, ≥40 years; n = 12, <40 years) was measured in a clinical setting under the following conditions: (a) natural visual acuity, distance of 300 mm; (b) natural visual acuity, free choice of the distance; and (c) loupe and additional light source, if available. RESULTS The visual acuity under the different clinical conditions varied widely between individuals. The older group of dentists had a lower median visual acuity value under all clinical conditions. This difference was highly significant for natural visual acuity at a free choice of distance (p < 0.0001). For younger dentists (<40 years), visual acuity could be significantly improved by reducing the eye-object distance (p = 0.001) or by using loupes (p = 0.008). For older dentists (≥40 years), visual acuity could be significantly improved by using loupes (p = 0.0005). CONCLUSIONS Visual performance decreased with increasing age under the specific clinical conditions of each dentist's private practice. Magnification aids can compensate for visual deficiencies. CLINICAL RELEVANCE The question of whether findings obtained under standardized conditions are valuable for the habitual setting of each dentist's private practice seems clinically relevant