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The simulation of visual deficits associated with aging has been the subject of numerous investigations both in real environments with the use of aging suits and in immersive environments with the use of Extended Reality experiences. However, there is a dearth of heterogeneity and randomness, which characterize the age-related conditions and are important aspects in human-like simulations. Towards this end, procedurally generated age-related deficits are simulated in Virtual Reality environments, giving the possibility to experience these deficits and their nuances in real time. Our work is drawing upon state-of-the-art featurebased approaches, such as foveated rendering and procedural noise, to provide realistic effects. A pilot assessment is conducted through a visual performance task, while eye-tracking data are recorded. The preliminary results provide a first evaluation of the simulation's effectiveness in inducing, in normal subjects, a visual behavior similar to that of real patients., ICAT-EGVE 2021 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments, Education and Immersion, 19, 24, Christina Zavlanou, Philippe Huber, Yvain Tisserand, David Rudrauf, and Andreas Lanitis, CCS Concepts: Computing methodologies --> Compute shaders, foveated rendering, procedural noise; Hardware --> Virtual Reality, eyetracking

Functional neuroimaging research has consistently associated brain structures within the default mode network (DMN) and frontoparietal network (FPN) with mind-wandering. Targeted lesion research has documented impairments in mind-wandering after damage to the medial prefrontal cortex (mPFC) and hippocampal regions associated with the DMN. However, no lesion studies to date have applied lesion network mapping to identify common networks associated with deficits in mind-wandering. In lesion network mapping, resting-state functional connectivity data from healthy participants are used to infer which brain regions are functionally connected to each lesion location from a sample with brain injury. In the current study, we conducted a lesion network mapping analysis to test the hypothesis that lesions affecting the DMN and FPN would be associated with diminished mind-wandering. We assessed mind-wandering frequency on the Imaginal Processes Inventory (IPI) in participants with brain injury (n = 29) and healthy comparison participants without brain injury (n = 19). Lesion network mapping analyses showed the strongest association of reduced mind-wandering with the left inferior parietal lobule within the DMN. In addition, traditional lesion symptom mapping results revealed that reduced mind-wandering was associated with lesions of the dorsal, ventral, and anterior sectors of mPFC, parietal lobule, and inferior frontal gyrus in the DMN (p < 0.05 uncorrected). These findings provide novel lesion support for the role of the DMN in mind-wandering and contribute to a burgeoning literature on the neural correlates of spontaneous cognition.