| Application of semantic feature analysis in patients with post-stroke non-fluent aphasia |
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| DOI：10.3870/zgkf.2025.12.002 |
| EN KeyWords: aphasia semantic feature analysis speech rehabilitation |
| Fund Project:国家科技部重点研发计划（2022YFC3601204）；上海市宝山区科学技术委员会科技创新专项资金项目（21-E-04）；中西医协同重点科室建设项目（复旦大学附属华山医院康复医学科） |
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| EN Abstract: |
| Objective: To explore the effect of semantic feature analysis (SFA) on language function and general cognitive function in patients with post-stroke non-fluent aphasia. Methods：A total of 40 patients with post-stroke non-fluent aphasia were enrolled and randomly divided into a control group and an intervention group, with 20 cases in each group. The control group received conventional speech rehabilitation training, while the intervention group received speech rehabilitation training based on SFA. The Western Aphasia Battery (WAB) and Nonverbal Cognitive Assessment Scale (NLCA) were used to evaluate and compare changes in language function and general cognitive function before and after training in both groups. Results：After 3 weeks of training, scores of spontaneous speech, fluency, auditory comprehension, repetition, naming, and total Aphasia Quotient (AQ) in the WAB scale were significantly improved in both groups compared with those before training (P<0.05). After training, all WAB scores in the intervention group were higher than those in the control group, with a significant improvement only in fluency (P<0.05). After training, all scores and total scores of the nonverbal cognitive scale in both groups were higher than those before training (P<0.05), except for no significant improvement in executive function in the control group. However, there was no statistically significant difference in all scores and total scores of the nonverbal cognitive scale between the two groups after training. Conclusion: SFA can effectively improve language function and general cognitive function in patients with post-stroke non-fluent aphasia, especially in speech fluency. |
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