A novel approach in quantifying writing errors in Arabic‐speaking patients with Alzheimer's disease

Abstract

According to our neurocognitive model of agraphia in Arabic (Taiebine et al., 2024), graphemic and post-graphemic buffer errors are produced by patients with moderate AD. The application of the equation for analyzing writing accuracy during the MLSE writing subtest showed different patterns in inter- and intra-individual performances. By averaging the accuracy rate for each patient, we identified 3 groups: those with a high accuracy rate (more than 65%); those with an average accuracy rate (between 40% and 65%) and those with a low accuracy rate (less than 40%). (Table 1) CONCLUSION: This study provides a new perspective in the neurolinguistic characterization of agraphia in AD. The typical pattern of graphemic disorders found in our patients is consistent with the impairment of concomitant triple peripheral writing buffers: graphemic, graphomotor, and allographic.