Aby wyświetlić tę treść, wymagana jest subskrypcja JoVE. Zaloguj się lub rozpocznij bezpłatny okres próbny.
* Wspomniani autorzy wnieśli do projektu równy wkład.
We present development of a gaze-contingent display framework designed for perceptual and oculomotor research simulating central vision loss. This framework is particularly adaptable for studying compensatory behavioral and oculomotor strategies in individuals experiencing both simulated and pathological central vision loss.
Macular degeneration (MD) is one of the leading causes of vision impairment in the Western world. Patients with MD tend to develop spontaneous eye movement strategies to compensate for their vision loss, including adopting a preferred retinal locus, or PRL, a spared peripheral region that they use more frequently to replace the damaged fovea. However, not all patients are successful in developing a PRL, and even when they do, it might take them months. Currently, no gold standard rehabilitative therapy exists, and MD research is further hindered by issues of recruitment, compliance, and comorbidity. To help address these issues, a growing body of research has used eye tracking-guided, gaze-contingent displays in a simulated central vision loss paradigm in individuals with intact vision. While simulated vision loss is qualitatively different than pathological central vision loss, our framework provides for a highly controlled model through which to study compensatory eye movements and test possible rehabilitation interventions in low vision. By developing a comprehensive framework, rather than relying on isolated and disconnected tasks, we create a cohesive environment where we can test larger-scale hypotheses, allowing us to examine interactions between tasks, assess training effects across multiple measures, and establish a consistent methodology for future research. Furthermore, participants in simulated central vision loss studies show similarities in their oculomotor compensatory behaviors compared to patients with MD. Here, we present a framework for conducting gaze-contingent studies related to simulated central vision loss. We emphasize the utilization of the framework to test behavioral and oculomotor performance of healthy individuals on a wide range of perceptual tasks encompassing different levels of visual processing. We also discuss how this framework can be adapted for training MD patients.
Macular degeneration (MD) is the main cause of vision impairment globally, and it is projected to affect 248 million people worldwide by 20401. Late-stage MD is characterized by damage to the photoreceptors in the center of the visual field (fovea). Loss of central vision has severe effects on daily tasks that rely on central vision, such as navigation2, reading3, and recognizing faces4. Consequences of MD greatly impact the quality of life of these individuals5 and lead to negative psychological consequences6. Patients with MD, deprived of their central vision, may spontaneously develop compensatory oculomotor strategies involving the use of a peripheral retinal region to replace the fovea (Figure 1). This region, referred to as the preferred retinal locus (PRL)7, is often adopted by patients in tasks involving fixation, reading, and face recognition. There is evidence of the PRL, in patients with MD, taking over oculomotor referencing duties of the fovea8,9. Further, changes in attention and cognitive control are observed in patients with central vision loss, suggesting a relationship between vision loss and cognitive functions10.
Figure 1. Illustration of the perceptual experience of individuals with healthy vision and macular degeneration patients with foveal scotoma. Foveal scotoma leads to central vision loss in patients with macular degeneration. Some individuals can partially compensate for the loss of visual input to the fovea by using a peripheral retinal location, defined as preferred retinal locus (PRL). In patients that developed a PRL, this is often used for eccentric fixation and during daily tasks. Retinal location, shape and size of the PRL can vary from person to person. Please click here to view a larger version of this figure.
While no gold standard intervention exists to recover vision loss or to compensate for loss of central vision, experimental approaches from optometry, occupational therapy and vision science are being tested to improve compensation through peripheral vision11,12. Oculomotor approaches focus on teaching patients to improve eye movement control and coordination, including teaching them to use a more adequate PRL11,12,13,14,15 while perceptual interventions focus on improving the general peripheral visual abilities or vision within the PRL, partially overcoming the limitation of peripheral vision16,17,18,19,20. Recent studies have used an eye-tracking based gaze-contingent display as a paradigm for the study of eye movements in central vision loss21,22,23,24,25,26,27,28,29. This approach, which utilizes a simulated scotoma (i.e., an occluder to obstruct the central region of the visual field) in healthy individuals (Figure 1), mitigates issues of recruitment and compliance, while providing high control on several parameters, such as the size and shape of the scotoma, thereby offering a promising alternative to the direct involvement of patients with MD. While there exists several differences between central vision loss and simulated scotoma30,31, some of the oculomotor behavior observed in the former, such as the development of a PRL, can be seen in the latter27,30,32, suggesting that some aspects of compensatory oculomotor strategies can be elicited by this gaze-contingent paradigm. Importantly, simulated central vision loss provides a broad framework for studying plasticity in both the healthy visual system and following central vision loss.
Here, we present the design, development, and use of a gaze-contingent framework that can be used to test perceptual, oculomotor, and attentional performances in healthy individuals and, with some modifications, in MD patients (Figure 2). We also detail the technical and psychophysical considerations that accompany gaze-contingent, peripheral training. A key technical challenge involves creating the perception of a smooth, short latency movement of the scotoma33. This short latency is obtained by selecting appropriate display devices, eye trackers, and operating systems34,35,36. Previous work has documented how each piece of hardware adds latency37 and strategies to reduce overall latency, accommodate blinks, and slow eye movements33. A novel aspect of our paradigm is the diverse set of training and assessment tasks within a single framework for perceptual research in both healthy and patient populations. The framework characterizes multiple levels of visual processing affected by central vision loss, specifically low-level vision, higher-level vision, attention, oculomotor control, and cognitive control. Preliminary tests conducted using a modified version of this approach showed evidence of improvement in visual acuity in both healthy controls and the patient population32.
Figure 2. Multidimensional approach to the study of plasticity in the visual system, and vision rehabilitation in Macular Degeneration. Illustration of interconnected dimensions such as visual perception, oculomotor, and cognitive control that contribute to visual processing and are affected in central vision loss. Please click here to view a larger version of this figure.
All participants were healthy individuals with visual acuity of 20/40 or above and no known vision issues. Both the representative participants are females, and their ages are 27 and 24. All participants provided informed consent, and the study received approval from the Institutional Review Board (IRB) at the University of Alabama at Birmingham.
1. Identifying an ideal system for simulated central vision loss research
Figure 3: Latency comparison across different combinations of monitors, eye-tracking devices, and operating systems. Bars represent the ± 1 standard deviation across the 20 repetitions per combination. Measures were taken with a Mac operating system phone in slow motion mode, reaching a refresh rate of 240Hz. TP/CRS/Win is statistically different from E1000/CRT/Mac (t(38)=9.53, p<0.001), E1000/CRS/Mac (t(38)=16.24, p<0.001) and E1000/CRS/Win (t(38)=3.94, p<0.001). Please click here to view a larger version of this figure.
2. Participant familiarization with simulated central vision loss through gaze-contingent display
NOTE: A fundamental component in simulating central vision loss is to familiarize participants with the gaze-contingent display. Without proper familiarization, measures of abilities can be conflated by the participants' effort to navigate the gaze-contingent display. Several key steps in the protocol ensure sufficient familiarization with the gaze-contingent display to be able to measure visual performance reliably.
3. Development of effective instructions
NOTE: Instructions play a crucial role in guiding participants on how to respond to stimuli and manage their simulated scotoma during different tasks. Appropriate instructions must be thorough and clear to avoid any confusion. Instructions should be reiterated as needed to ensure understanding.
4. Assessment tasks' design and implementation
NOTE: Tasks designed within this framework are broadly divided into two main categories: (1) Free eye movement tasks and (2) Fixation-constrained tasks. In the free-eye movement tasks, let participants make eye movements across the screen to identify targets appearing at random locations on the screen (or to read text), whereas, in fixation-constrained tasks, ask participants to maintain fixation within a central white box throughout the task and use their peripheral vision to make judgments. Figure 4 shows example tasks and descriptions for each category. More detailed information about the tasks can be found in38.
Figure 4: A visual representation of different assessment tasks designed using the framework. The tasks are broadly categorized into Free eye movement tasks, where the scotoma follows the eye movements of the participants to view targets freely (top panel), and Fixation-constrained tasks, where the scotoma needs to be placed within a central white box throughout the task (bottom panel). This figure has been modified from38. Please click here to view a larger version of this figure.
Figure 5: Fixation aids used to promote fixation stability in participants. (A) Fixation cross and fixation box were used for fixation stability tasks. (B) The fixation cross, fixation box, and black cross at the center were used in low-level vision tasks. Please click here to view a larger version of this figure.
In this section, we present illustrative data from both free eye movement and fixation-constrained tasks. The goal of this section is to illustrate data obtained using the framework and its ability to measure peripheral visual functions. The section is organized into four distinct categories, each highlighting critical elements necessary for accurate visual performance estimation under simulated central vision loss. These categories include performance on (1) low- and mid-level vision tasks, (2) attention measures in hig...
In this methodological paper, we present a gaze-contingent framework for conducting perceptual research in simulated central vision loss that emphasizes hardware, design, and methodological considerations that are required to (1) choose the shortest system latency for gaze-contingent display, (2) administer a wide range of visual perception tasks, and (3) measure the oculomotor and perceptual performance of participants within this paradigm. Concerning (1), we emphasize the need for testing hardware and software reliabil...
The authors declare that there is no conflict of interest regarding the publication of this paper.
This work is supported by NIH NEI 1 U01 R01EY031589 and 1R21EY033623-01.
Name | Company | Catalog Number | Comments |
CRT Monitor | ViewSonic PF817 Professional Series CRT, ViewSonic Corp. | https://www.viewsonic.com/us/monitors.html?srsltid= AfmBOorEmjc67A5U2v2V wywNRHWzdrxcYx7Q3Y0 9tiNrnbs6FC4TPlc9 | |
Display++ LCD Monitor | Cambridge Research Systems | https://www.crsltd.com/tools-for-vision-science/calibrated-displays/displaypp-lcd-monitor/ | |
Eye Tracker | EyeLink 1000 Plus Tower Mount, SR Research | https://www.sr-research.com/eyelink-1000-plus/ | |
Eye Tracker | Vpixx Technologies Inc. | www.vpixx.com | |
Macintosh IOS | Apple Inc. | https://www.apple.com/mac/ | |
Windows 10 | Microsoft Inc. | https://www.microsoft.com/en-us/ |
Zapytaj o uprawnienia na użycie tekstu lub obrazów z tego artykułu JoVE
Zapytaj o uprawnieniaThis article has been published
Video Coming Soon
Copyright © 2025 MyJoVE Corporation. Wszelkie prawa zastrzeżone