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Biomedical subjects

K Fuld

Publications and source records attributed to K Fuld.

At least 19 recordsLinked to original sources
PubMed1996

Iris color and macular pigment optical density.

The present study was designed to assess the relationship between iris color and macular pigment optical density. Both melanin and carotenoids (responsible for iris color and macular pigment composition, respectively) appear to protect the retina through similar mechanisms and higher concentrations may reduce the incidence of retinal degenerations. To evaluate this relationship, 95 subjects were examined and the following variables were measured: iris color; macular pigment optical density (MP); plasma concentrations of lutein and zeaxanthin and beta-carotene; dietary intake of lutein and zeaxanthin and beta-carotene; and total fat intake. Iris color was determined by self assessment and classified as blue or gray (group I), green or hazel (group II) or brown or black (group III). MP density was measured psychophysically by measuring foveal and parafoveal sensitivities to lights of 460 and 550 nm, using the method of heterochromatic flicker photometry. Plasma carotenoid concentrations were measured using reverse-phase high-performance liquid chromatography. Dietary intake was determined by a detailed food-frequency questionnaire. Despite similarities in diet and in blood concentrations of carotenoids, significant differences in macular pigment density (P < 0.02) were found for different colored irises (group I, n = 38, MP = 0.25; group II, n = 26, MP = 0.32; group III, n = 31, MP = 0.38). The covariation of iris color and MP indicates that past epidemiologic studies have not adequately determined the independent effects of either factor. The relationship of MP and iris color may be the result of one or two factors: the evolution of a shared tendency to accumulate melanin and carotenoids due to similar environmental pressures (e.g. light and oxygen); and/or MP might be depleted due to the tendency for eyes with light irises to transmit more light than eyes with dark irises, thus causing increased oxidative stress.

Adult↗
PubMed1996

Sex differences in macular pigment optical density: relation to plasma carotenoid concentrations and dietary patterns.

Sex differences in macular pigment (MP) optical density (measured psychophysically) were examined. Concentrations of lutein and zeaxanthin (L and Z) (non-separated) and beta-carotene (BC) in the blood were determined using reverse phase high-performance liquid chromatography. Dietary intake of L and Z, BC, fat, and iron were estimated by questionnaire. Males had 38% higher MP density than females (P < 0.001) despite similar plasma carotenoid concentrations and similar dietary intake (except for fat). Dietary intake of carotenoids, fat and iron, as well as plasma concentrations of L and Z were positively related to MP density in males. Conversely, only plasma L and Z was related to MP density for females, and dietary fat was negatively related to MP density. Sex differences in protection of the retina by MP and in the relationship between the retina, blood and diet could be a factor in the incidence of retinal diseases, especially age-related macular degeneration.

Adult↗
PubMed1995

The prediction of hue and saturation for non-spectral lights.

The Jameson and Hurvich opponent-colors model of hue and saturation was tested for spectral and non-spectral lights. Four observers described the color of lights by scaling hue and saturation. The lights ranged from 440 to 640 nm and consisted of five purities: 1.0, 0.80, 0.60, 0.40 and 0.20. Admixtures of monochromatic and a xenon-white light yielded the different colorimetric purities. For each subject, chromatic response functions were measured by the method of hue cancellation at each purity, and an achromatic response function was measured by the method of heterochromatic flicker photometry for spectral lights. Chromatic response functions measured for a particular purity and the achromatic response function were used to predict hue and saturation for that purity. The model successfully predicted hue at each level of purity, but failed to predict precisely the Abney effect. The model made relatively poor predictions of saturation, tending to overestimate short-wave lights and underestimate long-wave lights. An additional experiment found that stimulus parameters that favor rod contribution weaken the model's predictions of saturation, while stimulus parameters that do not favor rod contribution improve the model's predictions of saturation.

Adult↗
PubMed1995

Macular pigment density in monozygotic twins.

PURPOSE: Research shows wide variation in macular pigment density between individuals. As are other ocular pigments, this variation may be genetic. To test this hypothesis, the authors measured macular pigment density, serum carotenoid concentrations, and general dietary patterns in 10 pairs of identical twins. METHODS: Macular pigment was measured psychophysically by a 1 degree test stimulus. Foveal and parafoveal sensitivities to 460-nm and 530-nm light were compared. Determining the difference in log sensitivity to the 460-nm light for the fovea (where macular pigment is most dense) and the parafovea (where macular pigment is optically immeasurable), after normalizing with respect to 530 nm, yields a measurement of the optical density of macular pigment. Concentrations of carotenoids within the serum were measured using reverse-phase, high-performance liquid chromatography. Dietary patterns were determined using a food-frequency questionnaire. RESULTS: Statistically significant differences in macular pigment optical density were found for 5 of the 10 twin pairs. For these five pairs, differences in macular pigment density were moderately related to differences in the intake of dietary fat, iron, linoleic and oleic acid, fiber, and total calories (P < 0.10, individually; P < 0.05, for an equally weighted composite of these variables). There was no significant relationship, however, found between macular pigment density and carotenoids in the blood and diet. CONCLUSIONS: Given the putative protective role of macular pigment, variations in macular pigment density may have clinical significance. The conclusion that macular pigment is not completely determined genetically allows the possibility that macular pigment density may be modified for the protective purposes. The current data suggest that dietary fat, iron, and fiber may influence macular pigment levels (perhaps through their influence on carotenoid metabolism). These data suggest that the eventual deposition of macular pigment in the retina is complex and probably is influenced by a number of variables.

Adult↗
PubMed1992

Interocular differences in macular pigment density.

Interocular differences in the optical density of macular pigment were examined. Foveal and parafoveal sensitivities to lights of 460 and 530 nm were measured by heterochromatic flicker photometry for both eyes of ten subjects. These two wavelengths represent the maximum and minimum absorbance for macular pigment. Taking the difference in log sensitivity to the 460 nm light for the fovea and parafovea, after normalizing with respect to 530 nm, yields a measurement of the optical density of the macular pigment. Consistent interocular differences in macular pigment density were found for only two subjects, and these differences were less than 0.1. Other subjects frequently showed significant interocular differences on a given day but showed no consistent differences over the course of many days. In general, the amount of macular pigment measured for one eye was found to be essentially the same as that for the other eye. When measurements were averaged for the two eyes of each subject, significant differences in macular pigment density among subjects were found.

Adult↗
PubMed1991

The contribution of chromatic and achromatic valence to spectral saturation.

The spectral efficiency of the achromatic and opponent chromatic channels was measured in three subjects by use of heterochromatic flicker photometry and hue cancellation, respectively. Heterochromatic brightness matching was also used for measuring achromatic spectral efficiency. These data were then used to predict spectral saturation based on Hurvich and Jameson's (1957; Psychological Review, 64, 384-404) opponent colors model. A standard color-naming procedure and a saturation matching technique were used for measures of spectral saturation. The ratio of saturation of short-wave to long-wave lights was found to be less than that predicted by the linear valence model. Allowing for nonlinearity at the opponent site of the yellow-blue channel plus a desaturating signal from the rods provided a good fit between data and theory.

Adult↗
PubMed1990

A simple but powerful theory of the moon illusion.

Modification of Restle's theory (1970) explains the moon illusion and related phenomena on the basis of three principles: (1) The apparent sizes of objects are their perceived visual angles. (2) The apparent size of the moon is determined by the ratio of the angular extent of the moon relative to the extents subtended by objects composing the surrounding context, such as the sky and things on the ground. (3) The visual extents subtended by common objects of a constant physical size decrease systematically with increasing distance from the observer. Further development of this theory requires specification of both the components of the surrounding context and their relative importance in determining the apparent size and distance of the moon.

Distance Perception↗
PubMed1989

Black spectral responsivity.

Six subjects induced blackness within a circular broadband field by increasing the radiance of a surrounding monochromomatic annulus, which varied in wavelength. Between the central field and the annulus was a thin dark ring. Half of the subjects were instructed to increase the radiance of the annulus until the central field just turned black, and the other half were instructed to increase the radiance of the annulus until the contour between the central field and the dark ring disappeared. Spectral luminous efficiency functions measured by the methods of heterochromatic flicker photometry (HFP) and brightness matching (HBM) were determined for each subject and compared with the subject's blackness-induction functions. The hypothesis that the contour-disappearance instruction would yield blackness-induction curves best fitted by flicker photometric functions and that the absolute-blackness instruction would yield blackness-induction curves best fitted by HBM functions was not confirmed. There was only one subject for whom the spectral efficiency of blackness was represented better by HFP than by HBM. There was one subject for whom blackness spectral efficiency was fitted better by HBM than by HFP. For the remaining four subjects, there was no difference in fits.

Color Perception↗
PubMed1986

Spectral responsivity of the white-black channel.

Three subjects viewed, foveally and monocularly, a monochromatic test field of 0.6-deg diameter that was surrounded by a white annulus of 0.6-deg inner diameter and 4.5-deg outer diameter. The wavelength of the central test field was varied in steps of 10 nm from 440 to 640 nm, and its luminance was set to 100 Td. Center and surround were flashed together for 2 sec every 4 sec. The subjects adjusted the luminance of the surround so that the central field was perceived as having equal amounts of whiteness and blackness. The luminance of the surround required for this balance point varied with the wavelength of the test field in a manner that closely resembled a heterochromatic brightness matching function obtained under similar conditions. Control experiments ruled out the possibility that the subjects were making brightness matches between center and surround fields. Additional evidence was provided suggesting that the spectral responsivity of the putative white-black channel is best represented by a photopic spectral sensitivity curve based on equal brightness.

Color Perception↗
PubMed1985

Colors of monochromatic lights that vary in contrast-induced brightness.

Using a color-naming procedure, two subjects described monochromatic lights, ranging from 450 to 630 nm, that were surrounded by perceptually unique-white fields of variable retinal illuminance. The test fields were 0.6 deg and 10, 100, or 1,000 Td. The surrounds, which were 4.5 deg in outer diameter, ranged from 0 to approximately 31,000 Td. From the resulting color-naming functions, equal-hue contours were derived, with surround intensity plotted against wavelength, for the spectral unique hues and the binary hues blue-green, green-yellow, and yellow-red. The wavelengths for unique blue, unique yellow, and blue-green were essentially invariant with changes in surround intensity. The spectral locus for unique green was also invariant at higher test-field intensities, but, at lower levels, it generally shifted toward shorter wavelengths as surround intensity increased. Nonmonotonic shifts were found for green-yellow and yellow-red. The contrast and the wavelength requirements for the color brown were nearly invariant with the changes of test-field intensity. Over the full range of surround intensities, subjects described the test fields as consisting of one or two hues plus white or black, depending on the surround level, but never (except for one subject at the lowest test-field intensity) white and black simultaneously and cospatially. This opponent aspect of black and white was compared with that associated with the chromatically opponent processes.

Color↗
PubMed1984

Brightness matching, brightness cancellation, and increment threshold in the Ehrenstein illusion.

Matching and cancellation techniques were used to measure the relative strength of the Ehrenstein illusion in dark figures on a light background (negative contrast) and light figures on a dark background (positive contrast). Brightness enhancement on the former was shown to be maximally 0.28 log unit (relative to the detection threshold), and darkness enhancement on the latter 0.43 log unit. Values differed little with figure-ground contrast (down to a minimum of +/- 0.5), but decreased with decreasing level of illumination. The luminance increment (decrement) needed to match the illusory brightness (darkness) was similar in size to the luminance decrement (increment) needed to cancel the illusion. The increment threshold for a small test flash measured in three locations relative to the subjective contour delineating the illusion did not differ systematically. The results are compatible with a neurophysiological explanation of the Ehrenstein illusion in terms of line-induced lateral interaction in hypercomplex receptive fields.

Fixation, Ocular↗
PubMed1983

The possible elemental nature of brown.

The continuous judgmental color-naming technique was used to assess the elemental nature of names descriptive of dark colors. Subjects were instructed to describe the color of a 0.54 deg. 2.5 log td test field of either 450, 530, 580 or 660 nm, that was surrounded by an achromatic annulus of 3.8 deg outer diameter. The annulus was varied in retinal illuminance from 1.5 to 3.7 log td. Test field and annulus were flashed simultaneously for 1 sec to the fovea of one eye. Results from 3 subjects indicated that the names blue, green, red and black were necessary and sufficient for describing the 450, 530 and 600 nm test fields. The 580 nm test field required the color name brown, in addition to the names yellow and black, to describe it when intermediate surround intensities were used. Additional results suggested the possible elemental nature of the color name brown.

Color↗