Biomedical subjects

M A Bearse

Publications and source records attributed to M A Bearse.

7 recordsLinked to original sources

PubMed1999

[Multifocal electroretinogram (MF-ERG) in diagnosis of macular changes. Example: senile macular degeneration].

PURPOSE: Small areas of retinal pathology may pose diagnostic difficulties. The noninvasive multifocal electroretinogram (MF-ERG) provides a topographical mapping of retinal function. Its role in the diagnosis of macular diseases is examined in age-related macular degeneration (AMD). AMD is a main cause of central visual loss in the elderly population, affecting the second eye in 75%. METHODS: MF-ERG recordings of three patients with AMD were compared to the findings of fundus photography and fluorescein angiography. During the MF-ERG recordings the central 50 degrees of the retina was stimulated. The visual stimulus consisted of 241 hexagons that alternated, independently and pseudorandomly, between black and white according to a special predetermined binary sequence. Local retinal response components were extracted using the Fast m-Transform Algorithm. RESULTS: Three of six eyes had undergone cataract surgery with implantation of a posterior chamber lens (PCL). In accordance with an increase in light transmission through PCLs, these eyes showed an increase in the MF-ERG responses. MF-ERG allowed accurate topographic mapping of focal areas of retinal dysfunction in all patients tested. There was good correspondence to anatomical changes detected by fluorescein angiography. CONCLUSION: The high resolution of the MF-ERG enables detection of small areas of retinal pathology. It thus presents a clinically useful, noninvasive method in the early diagnosis and follow-up of macular disease.

Aged↗

PubMed1999

The optic nerve head component of the human ERG.

The local responses of the multifocal ERG reveal continuous changes in the second order waveforms from the nasal to the temporal retina. Scrutiny of these changes suggests the presence of an additive component whose latency increases with the distance of the stimulus from the optic nerve head. This observation led to the hypothesis of a contributing source in the vicinity of the optic nerve head whose signal is delayed in proportion to the fiber length from the stimulated retinal patch to the nerve head. The hypothesis was tested with two independent methods. In Method 1, a set of different local response waveforms was approximated by two fixed components whose relative latency was allowed to vary and the fit of this two component model was evaluated. In Method 2, two signals were derived simultaneously using different placements for the reference electrode. The placements were selected to produce a different ratio of the signal contributions from the retina and the nerve head in the two recording channels. The signals were then combined at a ratio that canceled the retinal component. Method 1 yielded an excellent fit of the two component model. Waveforms and latencies of the hypothetical optic nerve head component derived from the two methods agree well with each other. The local latencies also agree with the propagation delays measured in the nerve fiber layer of the monkey retina. In combination, these findings provide strong evidence for a signal source near the optic nerve head.

Electroretinography↗

PubMed1997

Mapping of retinal function in diabetic retinopathy using the multifocal electroretinogram.

PURPOSE: To investigate focal abnormalities in the electroretinogram (ERG) signal in diabetic patients, with and without retinopathy, using a multifocal ERG. METHODS: Sixteen patients with diabetes mellitus, 8 of whom had diabetic retinopathy (mean duration of diabetes: 18.5 years) and 19 approximately age-matched healthy volunteers underwent multifocal ERG testing. One hundred three retinal locations within the central 50 degrees were stimulated concurrently, according to a pseudorandom m-sequence. Response components were extracted for each stimulated retinal location. RESULTS: In diabetic patients with retinopathy, the overall amplitudes were reduced (P < 0.01), and peak implicit times were increased (P < 0.01) in the first-order component (mean flash response) and in the first slice of the second-order component (local two flash interaction). In addition, local reductions of amplitude could be seen in the first- and second-order components. In patients without retinopathy, only amplitudes of the second-order component were reduced (P < 0.01). Another salient difference was observed in a special feature of the second-order component that was reduced in diabetic patients, with and without retinopathy (P < 0.05). CONCLUSIONS: Second-order components depend on nonlinear dynamics. Thus our findings indicate changes in the nonlinear dynamics of a fast-gain control in diabetic patients, presumably located in the inner retina. This suggests that early functional changes of the inner retina are evident in diabetic patients before impairment of the outer retina is observed. Multifocal nonlinear analysis permits the detection of subclinical diabetic retinopathy and offers the advantage of topographic mapping of retinal dysfunction.

Adult↗

PubMed1996

Imaging localized retinal dysfunction with the multifocal electroretinogram.

Conventional electroretinographic techniques do not permit efficient mapping of retinal responsiveness for the detection of small dysfunctional areas. This study explores the application of a new technique that makes such mapping possible. It utilizes a multifocal electroretinogram technique based on binary m sequences that simultaneously tests a large number of small retinal areas by multiplexing their responses onto a single signal derived from the human cornea. The focal responses are subsequently extracted for the derivation of high-resolution maps that characterize retinal responsiveness. The required recording times are short enough to make such testing feasible in the clinic. In this study we demonstrate the high sensitivity of the technique by mapping a small area that has been partially bleached by a strobe flash in a normal retina and by mapping dysfunctional areas in three patients with different, well-documented retinal pathologies. The results suggest that the multifocal electroretinogram has the potential to become a valuable clinical tool.

Adult↗

PubMed1994

Binocular summation in orientation discrimination depends on stimulus contrast and duration.

Binocular summation, an improvement in visual performance with binocular viewing compared to monocular viewing, has been studied extensively in detection tasks. Monocular detection thresholds for stationary stimuli are typically about 40% higher than binocular thresholds. Binocular summation in discrimination tasks, however, is often lower and less consistent. A possible explanation for this difference is that saturation of responses limits the extent of binocular summation in discrimination tasks. To investigate this possibility, we used an orientation discrimination task and varied stimulus contrast and exposure duration. Monocular and binocular orientation discrimination thresholds were obtained using one-dimensional difference-of-Gaussian stimuli. For briefly exposed stimuli, binocular summation is greatest at low contrasts (e.g. 66% at 8% contrast) and is reduced systematically at higher contrasts so that monocular and binocular thresholds are approximately equal at contrasts above 15%. Binocular summation for low-contrast stimuli is greatest at a brief exposure duration (50 msec), is reduced at longer durations, and is not significant at durations of 100 msec or longer. Thus, binocular summation in orientation discrimination is greatest for relatively low-energy stimuli. These results are consistent with models of binocular energy summation and the hypothesis that saturation of responses after binocular combination can limit binocular summation in discrimination tasks.

Contrast Sensitivity↗

PubMed1991

Spatial linearity of the pattern electroretinogram.

We modeled the spatial-frequency sensitivity of the human pattern-reversal electroretinogram (PERG) with the linear, two-parameter, spatially bandpass model of Kelly [J. Opt. Soc. Am. A 2, 810 (1985)]. In the model temporal linearity or linearity with luminance is not assumed, but linearity with contrast is assumed. Measurements relating PERG amplitudes to stimulus element size were taken from 13 earlier reports. Stimuli were two-dimensional Fourier analyzed. The bandpass model fitted well and thus supported linearity (spatial superposition) and suggested that large PERG's to large checks (low-pass data) reflect mainly responses to higher-spatial-frequency stimulus components.

Electroretinography↗

PubMedDate not supplied

Contrast coding by cells in the cat's striate cortex: monocular vs. binocular detection.

Many psychophysical studies of various visual tasks show that performance is generally better for binocular than for monocular observation. To investigate the physiological basis of this binocular advantage, we have recorded, under monocular and binocular stimulation, contrast response functions for single cells in the striate cortex of anesthetized and paralyzed cats. We applied receiver operating characteristic analysis to our data to obtain monocular and binocular neurometric functions for each cell. A contrast threshold and a slope were extracted from each neurometric function and were compared for monocular and binocular stimulation. We found that contrast thresholds and slopes varied from cell to cell but, in general, binocular contrast thresholds were lower, and binocular slopes were steeper, than their monocular counterparts. The binocular advantage ratio, the ratio of monocular to binocular thresholds for individual cells, was, on average, slightly higher than the typical ratios reported in human psychophysics. No single rule appeared to account for the various degrees of binocular summation seen in individual cells. We also found that the proportion of cells likely to contribute to contrast detection increased with stimulus contrast. Less contrast was required under binocular than under monocular stimulation to obtain the same proportion of cells that contribute to contrast detection. Based on these results, we suggest that behavioral contrast detection is carried out by a small proportion of cells that are relatively sensitive to near-threshold contrasts. Contrast sensitivity functions (CSFs) for the cell population, estimated from this hypothesis, agree well with behavioral data in both the shape of the CSF and the ratio of binocular to monocular sensitivities. We conclude that binocular summation in behavioral contrast detection may be attributed to the binocular superiority in contrast sensitivity of a small proportion of cells which are responsible for threshold contrast detection.

Animals↗