stimuli procedure for measuring visual motion acuity on random dot kinematograms

Assessing Vision via Shape Recognition in Random Dot Kinematograms

Most of the available visual tests are directed to examine the features processed by central vision, relying on the input deriving from the central retina1. The central retina has the densest cone-photoreceptor population for maximal visual acuity and lacks rod photoreceptors, which dominate the peripheral retina2. The presence of densely packed photoreceptors is also reflected in an increased density of ganglion cells, which means a greater number of axons are directed to the optic nerve and, eventually, to the visual cortex. Outside the fovea towards the periphery, rods outnumber the cone photoreceptor3. With the rods&#39; wider bodies and the sparser mosaic of photoreceptors, the peripheral retina is primarily responsive to night vision and motion awareness4.
Classically, it was believed that visual processing, depending on stimulation of the central part of the visual field, is devoted to the fine analysis of stationary objects, and its peripheral part is specialized in detecting motion and bringing objects to the central, foveal vision, where it is further analyzed5,6. However, now we have emerging evidence showing that on the cortical level, the fine analysis of the stationary pathway is not fully separated from the motion-sensitive one6,7,8. Testing form and motion perception simultaneously is classically performed using moving gratings9 and glass patterns10 and also concentric rings motion11. Our goal is to introduce a test that is close to the normal life of visually disabled people, which can lower their frustrations and give hope by explicitly showing them that some features of their visual processing might still be preserved and even strengthened. The proposed motion-acuity test based on random dot kinematograms (RDKs) combines motion and shape perception analysis and simultaneously tests the functioning of the motion and shape perception. Within the motion-acuity test, there are many possibilities of psychophysical features to test, such as different velocities, directions, and contrasts of the RDKs. By changing the parameters, we can manipulate the strength of stimulation, either specific for the central processing or peripheral. For example, detecting fast-moving objects is a well-described feature specific to peripheral visual processing12, whereas the processing of the darks on the bright background is preferentially processed by central vision13. This test was initially performed on patients with retinal degeneration of photoreceptors, either specifically located within the central or peripheral retina14. Retinitis pigmentosa (RP) is manifested with peripheral damage and prevails in ~1/5000 patients worldwide15. Stargardt disease (STGD), with a prevalence of ~1/10000, is the most common cause of juvenile macular degeneration (MD)16. Damage to the photoreceptors at the central retina, as in macular degeneration or as in retinitis pigmentosa at the peripheral retina, results in corresponding visual field losses. Those visual field losses are reflected in the impairments of the features specific to the given visual system regions17. Importantly, the regions of the visual system that receive inputs from unaffected parts of the retina are also affected. It was previously shown in animal models of macular degeneration18 that after binocular central retinal damage, not only is acuity aggravated, but motion perception, a feature characteristic of peripheral processing, is reinforced. The motion-acuity testing described here provides an important insight for planning visual rehabilitation procedures. A complete view of the interplay between central and peripheral parts of the visual field has a crucial role in understanding how lost functions might be taken over by the spare parts of the visual system and how this process can be supported by visual training rehabilitation procedures. Inline, the knowledge of how regional retinal degeneration affects visual processing, especially beyond its damaged parts, still remains incomplete. Optical tests are based on the measurements of the stationary shape features. For instance, the visual acuity measurements rely on stationary stimuli, either letters (Snellen charts), grating charts, or vernier acuity charts.
For the purpose of widening the insight into the dynamics between central and peripheral vision in healthy eyes and eyes that have impaired central/peripheral visual functions, a motion-based acuity test measuring the shape and motion perception simultaneously was introduced. The motion-acuity test is based on the detection of centrally located shapes in negative or positive contrast (dark or light dots), an ellipse and circle with matching surfaces, built from random dot kinematograms (RDK) and separated from the same RDK background by velocity, coherence, or direction. Acuity is measured as the minimal difference perceived between circle and ellipse dimensions, and the results are given in visual degrees at which the subject stops to perceive the difference. Additionally, to check if the luminance contrast influences the measured motion acuity, stimuli can be presented in negative (black dots on white background) or in positive contrast (white dots on black background). All the available information about positive contrast (ON type) and negative contrast (OFF type) processing in the visual system comes from the stationary stimulation of the central visual field19,20. But how peripheral processing of motion signals depends on contrast remains fairly unknown14,21. It was only established that sensitivity to high velocities is specific for peripheral processing, whereas central motion processing engages slow velocities at higher spatial frequencies presented in positive contrast (ON type)12. The positive and negative contrast versions of the motion-acuity stimuli, as well as the ability to modify the velocity of dots, as well as the coherence or direction, is crucial for a more detailed description of the full visual field. Additionally, a mechanical narrowing of the visual field to central 10 degrees is proposed using goggles with lenses replaced with opaque ones with centrally located holes. This easily replicable narrowing system, suitable for fMRI and TMS protocols, allows further investigations of the functions of the peripheral visual input and how visual peripheries influence centrally measured acuity. A similar system was initially validated in previous studies14, in which it was found that motion acuity tests in negative contrast and in fast motion, strongly activating visual peripheries, are the most difficult for all participants. For patients with Stargardt disease, they were unmanageable. Importantly, attenuation of visual periphery stimulation, by diminishing the velocity of RDKs, improves acuity thresholds in all tested subjects. In conclusion, we propose the task with motion-acuity measurement based on simple shape discrimination. Therefore, the results are straightforward and easy to understand also for patients and their caregivers. The motion-acuity test presented here is also addressed for users outside academia. The task is easy to explain to a broad range of ages and patient groups.

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Motion-Acuity Test for Visual Field Acuity Measurement with Motion-Defined Shapes

Процедура стимуляции для измерения остроты зрительного движения на кинематограммах случайных точек

Для начала подготовьте условия для теста на остроту движения и выполните тест, чтобы определить уровень его сложности. Затем, когда тема будет подготовлена, откройте текстовый файл конфигурации, чтобы продолжить проверку когерентности. Закомментируйте строку, читающую filename-Shape_Brt.txt в начале строки. После этого раскомментируйте строку под ним, которая включает в себя Shape_dotsB_C. txt задачу.Выполните Viscacha2. JAR программа. Просто упростите объяснение задачи по теме.Когда участник будет готов, нажмите клавишу S, чтобы начать эксперимент. После этого снова откройте текстовый файл конфигурации. Закомментируйте строку filename-shape_dotsB_C.TXT и раскомментируйте строку, содержащую shape_dotsW_C. txt задачу. Для задачи направления, после открытия текстового файла конфигурации, прокомментируйте ранее выбранное имя файла и раскомментируйте строку, содержащую shape_dotsB_D filename-.Задача TXT. Выполните Viscacha2. JAR программа.Объясните задачу участнику и нажмите клавишу S, чтобы начать эксперимент. Затем снова откройте текстовый файл конфигурации. Закомментируйте строку Filename-shape_dotsB_D.txt и раскомментируйте строку ниже, содержащую shape_dotsW_D. txt задачу. Для задачи скорости откройте текстовый файл конфигурации и прокомментируйте ранее выбранное имя файла.Раскомментируйте строку, содержащую filename-shape_dotsB_V1020. Задача TXT. Выполните Viscacha2.JAR программа. Объясните задачу участнику и нажмите клавишу S, чтобы начать эксперимент. Затем закомментируйте строку shape_dotsB_V1020.txt и раскомментируйте строку под ним, которая включает shape_dotsW_V1020. Задача TXT.

Research

JoVE Journal

Neuroscience

Stimuli Procedure for Measuring Visual Motion Acuity on Random Dot Kinematograms

The standard visual acuity measurements rely on stationary stimuli, either letters (Snellen charts), vertical lines (vernier acuity) or grating charts, ...

Determining the Initial Difficulty of the Motion-Based Acuity Test

Определение начальной сложности теста на остроту зрения, основанного на движении