Journal Article

Towards realistic simulation of disease progression in the visual cortex with CNNs

Wilms, Matthias, Vigneshwaran, Vibujithan, Stanley, Emma A. M., Kang, Chris, Forkert, Nils D., Moore, Jasmine A., Memon, Ashar

2025

Overview

Convolutional neural networks (CNNs) and mammalian visual systems share architectural and information processing similarities. We leverage these parallels to develop an in-silico CNN model simulating diseases affecting the visual system. This model aims to replicate neural complexities in an experimentally controlled environment. Therefore, we examine object recognition and internal representations of a CNN under neurodegeneration and neuroplasticity conditions simulated through synaptic weight decay and retraining. This approach can model neurodegeneration from events like tau accumulation, reflecting cognitive decline in diseases such as posterior cortical atrophy, a condition that can accompany Alzheimer’s disease and primarily affects the visual system. After each degeneration iteration, we retrain unaffected synapses to simulate ongoing neuroplasticity. Our results show that with significant synaptic decay and limited retraining, the model’s representational similarity decreases compared to a healthy model. Early CNN layers retain high similarity to the healthy model, while later layers are more prone to degradation. The results of this study reveal a progressive decline in object recognition proficiency, mirroring posterior cortical atrophy progression. In-silico modeling of neurodegenerative diseases can enhance our understanding of disease progression and aid in developing targeted rehabilitation and treatments.

• Publisher: Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
• Subject: 631/378/116 / 631/378/116/1925 / 692/699/375/132 / Alzheimer Disease - pathology / Alzheimer Disease - physiopathology / Alzheimer's disease / Atrophy / Cognitive ability / Computational neuroscience / Computer Simulation / Computer vision / Decay / Deep learning / Disease / Disease Progression / Humanities and Social Sciences / Humans / Information processing / Models, Neurological / multidisciplinary / Neural networks / Neural Networks, Computer / Neurodegeneration / Neurodegenerative diseases / Neuronal Plasticity / Neuroplasticity / Pattern recognition / Posterior cortical atrophy / Science / Science (multidisciplinary) / Synaptic plasticity / Synaptic strength / Tau protein / Visual cortex / Visual Cortex - pathology / Visual Cortex - physiopathology / Visual plasticity / Visual stimuli / Visual system