Evidence map›Paper›PMID 41102334›Full record

ArticleScientific reports2025

Analysis of the correlation between sleep spindles and cognitive impairment in patients with ischemic stroke.

Yixi Zheng, Tianyu Jing, Liwen Xu, Shutong Sun, Wenyi Yu, Ruonan Liu, Gang Xu, Cheng Chu

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Article in Scientific reports, 2025. 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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5 · Who and what money

Authors and funding

8 authors.

Yixi Zheng *Department of Neurology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Tianyu Jing *Department of Neurology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Liwen XuDepartment of Neurology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Shutong SunDepartment of Neurology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Wenyi YuDepartment of Neurology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
Ruonan LiuYangzhou University, Yangzhou, Jiangsu, China.
Gang XuDepartment of Neurology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China. 1621860708@qq.com.
Cheng ChuDepartment of Neurology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China. 090865@yzu.edu.cn.

Funding

Natural Science Foundation of Yangzhou Municipality YZ2017111
6 · The paper itself

Abstract

Sleep spindle (SS) are characteristic electroencephalographic hallmarks of nonrapid eye movement sleep (NREM), typically defined as oscillatory activity in the sigma frequency range (11-16 Hz) lasting 0.5-3.0 s. Research indicates that SS are involved in memory consolidation, promote memory and learning, and are significantly associated with physiological aging and cognitive decline. To explore the changes in the number, amplitude, and duration of SS in patients with acute ischemic stroke, to analyze the impact of SS on cognitive function in stroke patients, and to understand whether SS can serve as biomarkers for assessing cognitive function in stroke patients. This retrospective study included a total of 314 patients who underwent polysomnography (PSG) at the Affiliated Hospital of Yangzhou University from March 2022 to February 2024 were selected and divided into a stroke group (229 patients) and a control group (85 patients). Baseline data, questionnaire scores, PSG parameters, and SS parameters were collected. Differences between the two groups were compared. Multiple linear regression analyse was conducted to evaluate the influencing factors of Montreal Cognitive Assessment (MoCA) score in patients with ischemic stroke. Compared with the control group, the stroke group had lower MoCA score, fewer SS in nonrapid-eye-movement sleep stage 2 (NREM2) and nonrapid-eye-movement sleep stage 3 (NREM3), lower SS indices, a shorter average duration of SS in N2 sleep, and a lower maximum amplitude of SS in the N3 stage. The multiple linear regression models showed that the MoCA score of stroke patients was significantly correlated with age, sleep efficiency and N2 sleep spindle (N2-SS) index. In stroke patients, there is a reduction in the number, a shorter duration, and a decrease in amplitude of SS. The decrease of spindle activity is one of the potential factors affecting the cognitive level of stroke patients. The change of N2-SS can be related to the degree of cognitive impairment in ischemic stroke patients. SS is expected to be a new objective physiological indicator to evaluate the cognitive function after stroke. However, this study represents an initial exploration of associations rather than causal relationships. Future research should focus on longitudinal designs to clarify whether interventions targeting SS activity could improve cognitive outcomes.

Indexed as

Cognitive DysfunctionIschemic StrokeSleepSleep StagesAgedCognitionElectroencephalographyFemaleHumansMaleMiddle AgedPolysomnographyRetrospective StudiesCognitive functionElectroencephalographyMontreal cognitive assessmentPoststroke cognitive impairmentSleep spindlesStroke

Identifiers

PMID41102334
PMCPMC12533240

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