The ViRA-L (Visual Recognition Assessment-Leuven): Development, Validation, and Age Stratified Normative Characterization of a Multi-Category Visual Recognition Battery

The Visual Recognition Assessment-Leuven (ViRA-L) is a new recognition-memory battery designed to evaluate ten visual categories in a standardized testing environment. This assessment was developed and validated using healthy Dutch-speaking adults, and it provides age-stratified normative data. The study involved participants completing a visual recognition task for each of the ten visual categories, which included six learned targets and 30 novel trials, all requiring recognition despite changes in appearance.

After excluding participants who did not meet the criteria, 417 individuals remained for analysis. The researchers evaluated the battery's reliability, score distributions, task effects, demographic associations, and category-specific norms. The battery demonstrated good internal consistency (Cronbach's alpha = .879; omega total = .901), although the category-level estimates were slightly lower. The score dispersion was broad, and there were minimal floor and ceiling effects.

The accuracy of participants varied significantly across the different categories, with some categories proving more challenging than others. Participants also made slower responses when presented with novel and more difficult trials. Age emerged as the most significant demographic factor influencing accuracy, with no independent associations found between gender or education levels.

The study found that age-related effects varied depending on the visual category being assessed. The largest age differences were observed in the recognition of pseudowords and hands, while the smallest differences were noted for houses. These findings suggest that interpreting age-related recognition-memory profiles should be done on a category-by-category basis, as certain categories may be more sensitive to age-related changes.

In conclusion, the ViRA-L provides a valuable tool for neuropsychological research, allowing for comparisons of recognition-memory profiles under consistent testing conditions. The category-specific age associations identified in this study support the idea that age-related changes in recognition-memory abilities should be interpreted separately for each visual category. However, further validation is needed to establish the ViRA-L's clinical diagnostic utility.