Evidence map›Paper›PMID 42251351›Full record

ArticleBMC medical informatics and decision making2026

Effects of cerebral infarction on cognitive and speech performance.

Yang Niu, Mingming Hu, Xiaoyan Zhao, Xiaoping Gao, Yongmei Zhu

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yang NiuDepartment of Rehabilitation Medicine, Anhui No.2 Provincial People's Hospital, Hefei, Anhui, 230022, China.
Mingming HuAI Research Institute, iFLYTEK Co., LTD., Hefei, Anhui, China.
Xiaoyan ZhaoDepartment of Rehabilitation Medicine, Anhui No.2 Provincial People's Hospital, Hefei, Anhui, 230022, China.
Xiaoping GaoDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Anhui Medical University, Heifei, Anhui, China.
Yongmei ZhuDepartment of Rehabilitation Medicine, Anhui No.2 Provincial People's Hospital, Hefei, Anhui, 230022, China. 2399418005@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe present study sought to identify the cognitive features and speech features that might distinguish cerebral infarction patients by using artificial intelligence.

methodsA 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.

resultsCerebral 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.

conclusionCognitive 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.

Indexed as

Artificial IntelligenceCerebral InfarctionCognitionSpeechStroke, LacunarAgedFemaleHumansMaleMiddle AgedAcoustic featuresArtificial intelligence technologyCerebral infarctionCognitive featureLacunar infarction

Identifiers

PMID42251351
PMCPMC13459603

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.