Aging is a process associated with declines in various visual functions, including visual processing in the temporal domain. Understanding how visual processing changes throughout adulthood is crucial. A recent study recruited adults aged 20 to 70 years to investigate these changes. By manipulating stimulus onset asynchrony (SOA) of external noise masks, contrast thresholds in an orientation discrimination task were measured across different SOA conditions. The study hypothesized that thresholds would change with age and that this change would depend on the SOA condition. Results showed that thresholds increased with age at all SOA conditions except for the no mask condition.
To delve deeper into temporal processing dynamics, the elaborated perceptual template model was applied to the contrast thresholds. This model allowed the extraction of the temporal processing window, describing how visual processing efficiency varies over time. The study found that the temporal window of visual processing became wider and less efficient with age, indicating a decline in the ability to process dynamic visual information as individuals age. These findings suggest that age-related changes in visual processing occur gradually across adulthood, impacting peak efficiency and susceptibility to temporal disturbances.
The study’s design aimed to control for changes in target visibility across age groups and assumed symmetry in the masking function. The ePTM model parameters, such as internal additive noise and template gain, were estimated, revealing a decline in visual processing efficiency with age. Further analysis of the temporal weights at different SOAs indicated distinct age-related changes in temporal processing efficiency. The peak amplitude and full width at half maximum of the temporal window decreased and increased, respectively, with age, suggesting a gradual flattening of the temporal window with aging.
Insights from this study shed light on the functional changes in visual processing across adulthood, emphasizing the importance of understanding age-related alterations in temporal processing efficiency. The findings contribute to the broader understanding of how aging impacts visual perception and highlight the need for further research to explore the underlying neurophysiological mechanisms driving these changes.
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