Evidence map›Paper›PMID 42319649›Full record

ArticleBrain imaging and behavior2026

Disrupted white matter functional connectivity in post-stroke cognitive impairment: Insights from resting-state fMRI.

Yan Min, Zixiao Li, Lijun Zuo, Yongjun Wang

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In one paragraph

Article in Brain imaging and behavior, 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

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yan MinDepartment of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China.
Zixiao LiDepartment of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China.
Lijun ZuoDepartment of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China. zuolijun1987@126.com.
Yongjun WangDepartment of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China. yongjunwang@ncrcnd.org.cn.

Funding

Beijing Natural Science Foundation 7264267
6 · The paper itself

Abstract

Post-stroke cognitive impairment (PSCI) significantly impacts patients' quality of life following a stroke. Its effects on white matter functional networks remain unclear. This study used resting-state functional MRI to examine alterations in white matter functional connectivity and spontaneous activity in this condition. Resting-state functional MRI data were acquired from PSCI (n = 21), non-PSCI (PSNCI, n = 16), and healthy subjects (HSs, n = 29). A clustering analysis was employed to identify white matter functional networks. Functional connectivity and the amplitude of low-frequency fluctuation within these networks were compared across groups. Correlation analyses assessed their relationships with neuropsychological scores. Sixteen stable white matter networks were identified. Both patient groups showed reduced functional connectivity between the inferior longitudinal fasciculus and anterior cingulum compared to HSs. PSCI patients also exhibited decreased functional connectivity between the anterior and posterior cingulum compared to HSs. Furthermore, the amplitude of low-frequency fluctuation in the posterior cingulum was lower in PSCI group than in PSNCI group. These altered metrics showed correlations with neuropsychological performance across multiple cognitive domains. This study identified alterations in functional connectivity and spontaneous activity within specific WM networks in PSCI, which were associated with cognitive performance. These findings suggest that white matter functional abnormalities may be involved in the neural mechanisms underlying PSCI and could inform future research on early identification.

Indexed as

BrainCognitive DysfunctionStrokeWhite MatterAgedBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysNeuropsychological TestsRestAmplitude of low-frequency fluctuationFunctional connectivityPost-stroke cognitive impairmentResting-state functional MRIWhite matter networks

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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.