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A total of 250 subjects were retrospectively recruited. OCTA images, ENG signals and neurocognitive scores were collected from all subjects. The model had an area under curve of 0.85 for the independent validation cohort, with the sensitivity and specificity of 0.73 and 0.90 at the optimal cut-off of receiver operating characteristic curve, respectively. According to Gradient-weighted Class Activation Mapping analysis, the model focused on regions with reduced microvascular density. SHapley Additive exPlanations analysis revealed that saccade accuracy (left eye), saccade latency (right eye) and smooth pursuit gain (left eye) contributed the most to the model. 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