ReVis-MD-Scene: A Stimulus Database to Explore Spatial Frequency Processing in Scene Categorization for Macular Disease Research

ReVis-MD is an interdisciplinary project aimed at better understanding functional adaptation following the onset of scotoma in patients with macular degeneration (MD). By combining ophthalmological, psychophysical, neural (fMRI), and neuro-computational (artificial neural networks) approaches, the project pursues two main objectives. The first is to characterize the cortical reorganizations occurring in patients and how these changes impact their visuo-cognitive abilities, such as scene processing, compared to an age-matched control group with an artificial central scotoma. The second objective is to assess whether these adaptations can be enhanced through perceptual learning and cognitive retraining strategies, potentially paving the way for future rehabilitation programs. The project is funded by the ANR (Project ANR-21-CE28-0021) and involves a partnership between the CERCO laboratory (CNRS UMR 5549, Toulouse; PI: Benoît Cottereau, CNRS Research Director) and the LPNC laboratory (CNRS UMR 5105, Grenoble; responsible: Carole Peyrin, CNRS Research Director).