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Visual dysfunction is a better predictor than retinal thickness for dementia in Parkinson’s disease
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Other responses

  • Published on:
    Usefulness of Retinal Imaging for Predicting Cognitive Impairment in Parkinson's Disease: Insights for Clinical Practice and Research
    • Ane Murueta-Goyena, Associate Professor University of the Basque Country, UPV/EHU
    • Other Contributors:
      • Iñigo Gabilondo, Senior Researcher and Neurologist

    We are writing to respectfully offer some additional comments on the recent publication of Hannaway et al. in JNNP titled “Visual dysfunction is a better predictor than retinal thickness for dementia in Parkinson’s disease”.

    While the authors provided interesting insights on the predictive value of higher order visual functions for dementia, we noticed that the authors did not find significant associations between parafoveal GCIPL (pfGCIPL) and cognition in their work, whereas our research did. As they mentioned, the range of cognitive impairment was higher in our sample, and possibly this might have driven our findings. However, we would like to add that the relationship between the retina and cognition is not linear, according to our data. As such, we calculated relative risks by categorizing continuous variables, which allowed us to identify non-linear relationships between pfGCIPL and cognitive impairment. Furthermore, we speculate that these variables do not exhibit a synchronous pattern of change over time, suggesting that the temporal trends are not closely linked, which might justify the lack of association in the current work.

    We do agree with the authors in that visual function is a good predictor of cognitive deterioration. Our previous work also demonstrated this fact, but we would like to highlight the benefits of retinal OCT imaging in this context, if its utility is validated. Retinal OCT imaging is a faster and easier-to-measure technique com...

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    Conflict of Interest:
    None declared.