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Related Experiment Video

Updated: Jan 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Clinical Manifestations.

Mohamed Taiebine1, Mustapha El Alaoui Faris2,3, Maria Benabdeljlil3,4

  • 1Euro-Mediterranean University of Fez (UEMF), Fez, Morocco.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 25, 2025
PubMed
Summary

This study characterizes agraphia in Alzheimer's disease (AD) patients speaking Arabic. Moderate AD patients exhibit graphemic and post-graphemic buffer errors, impacting writing accuracy.

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Area of Science:

  • Neurolinguistics
  • Cognitive Neuroscience
  • Psycholinguistics

Background:

  • Limited research exists on Arabic agraphia in neurodegenerative diseases.
  • This study focuses on characterizing agraphia in Alzheimer's disease (AD) within an Arabic-speaking population.

Purpose of the Study:

  • To linguistically characterize acquired written language disorders (agraphia) in Arabic-speaking patients with Alzheimer's disease.
  • To investigate the specific patterns of writing errors in mild and moderate AD.

Main Methods:

  • The study included 14 patients with mild (n=4) and moderate (n=10) AD.
  • The Moroccan version of the Mini-Linguistic State Examination (MLSE) was administered.
  • A novel equation was used to analyze graphemic accuracy in writing.

Main Results:

  • Patients with moderate AD showed graphemic and post-graphemic buffer errors.
  • Analysis revealed varied inter- and intra-individual writing accuracy patterns.
  • Patients were categorized into high (>65%), average (40-65%), and low (<40%) accuracy groups.

Conclusions:

  • This research offers new insights into the neurolinguistic profile of agraphia in Arabic-speaking AD patients.
  • Observed graphemic disorders align with impairments in graphemic, graphomotor, and allographic writing buffers.