Effects of cerebral infarction on cognitive and speech performance.

Journal: BMC medical informatics and decision making
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Abstract

OBJECTIVE: The present study sought to identify the cognitive features and speech features that might distinguish cerebral infarction patients by using artificial intelligence. METHODS: A total of 117 patients were divided into the lacunar group, non-lacunar cerebral infarction group, and control group from Anhui No.2 Provincial People's Hospital. The cognitive features were created from the Chinese version of Montreal Cognitive Assessment Basic (MoCA-B) and the speech features were created from the cookie theft picture description task. RESULTS: Cerebral infarction patients, including lacunar and non-lacunar groups, had lower cognitive scores than the control group, with the non-lacunar group performing more poorly. The fluency task showed significant differences among the three groups, with the non-lacunar cerebral infarction group differing most from the control group. Non-lacunar and lacunar cerebral infarction groups performed worse than the control group in memory tasks, with the non-lacunar infarction group performing more poorly. Artificial intelligence technology was used to analyze speech data from patients completing tasks, revealing differences in acoustic features between the non-lacunar and lacunar cerebral infarction groups. CONCLUSION: Cognitive performance is a important distinguishing features of cerebral infarction. Some acoustic features may play an important role in distinguishing lacunar infarction from non-lacunar infarction.

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