Neuroadaptation to multifocal IOLs took place initially through recruitment of visual attentional and procedural learning networks. Thereafter, a form of long-term adaptation/functional plasticity occurred, leading to brain activity regularization toward a non-effort pattern. These findings, which reinforce the crucial role of higher-level brain regions in the perceptual construction of vision, were consistent with functional and questionnaire outcomes and were unrelated to optical properties.

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Alterations in oculomotor performance are among the first observable physical alterations during presymptomatic stages of Huntington's disease (HD). Quantifiable measurements of oculomotor performance have been studied as possible markers of disease status and progression in presymptomatic and early symptomatic stages of HD, on the basis of traditional analysis methods. Whether oculomotor performance can be used to classify individuals according to HD disease stage has yet to be explored via the application of machine-learning methods. In the present study, we report the application of the support vector machine (SVM) algorithm to oculomotor features pooled from a four-task psychophysical experiment. We were able to automatically distinguish control participants from presymptomatic HD (pre-HD) participants with an accuracy of 73.47 %, a sensitivity of 74.31 %, and a specificity of 72.64 %; to distinguish control participants from HD patients with an accuracy of 81.84 %, a sensitivity of 76.19 %, and a specificity of 87.48 %; and to distinguish pre-HD participants from HD patients with an accuracy of 83.54 %, a sensitivity of 92.62 %, and a specificity of 74.45 %. These results demonstrate that the application of supervised classification methods to oculomotor features is a valuable and promising approach to the automatic detection of disease stage in HD.

Purpose To study the impact of changed optical properties on cortical population receptive fields (pRF), psychophysical function and participant reported quality of vision after cataract surgery. Methods We studied 30 patients after recent bilateral sequential cataract surgery, using functional magnetic resonance imaging and pRF modelling methods to assess pRF sizes across early visual regions. Ophthalmological and psychophysical evaluation was also performed, and a quality of vision questionnaire was obtained. Results We found that subjects with worse optical properties had larger pRF sizes. pRF sizes in the primary visual cortex were also larger for operated subjects with worse contrast sensitivity (p = 0.038). Surprisingly, patients who were more bothered by dysphotic symptoms showed lower pRF size fitting interception (p = 0.012) and pRF size fitting slopes (p = 0.020), showing that objective and subjective quality of vision may dissociate. Conclusions Optical properties of the eye influence PRF sizes and both dissociate from subjective quality of vision, suggesting that patients with better cortical resolution may have augmented dysphotic perception, and consequently more visual complaints, in spite of improved optical quality.