{"title":"Post-stroke brain functional reorganization is associated with glymphatic dysfunction during stroke recovery.","authors":"Yueyan Bian, Jiajia Zhang, Yifei Zhang, Hongxia Zhang, Xuejia Jia, Hongkai Wang, Xiuqin Jia, Qi Yang","doi":"10.1186/s40708-025-00273-y","DOIUrl":null,"url":null,"abstract":"<p><p>BACKGROUND: Ischemic stroke may impair glymphatic clearance, but whether this is associated with post-stroke brain functional reorganization in humans remains unclear. METHODS: We prospectively enrolled 48 capsular stroke (CS) patients, 28 pontine stroke (PS) patients, and 50 healthy controls. All participants underwent MRI examinations at baseline (< 7 days) and 90 days post-stroke. Cerebrovascular reactivity (CVR) and the diffusion tensor imaging along the perivascular space (DTI-ALPS) index were measured to assess functional reorganization and glymphatic function. Regions with significant intergroup CVR differences were identified as regions-of-interest (ROIs) reflecting focal functional reorganization. Correlations between ROI-based CVR and DTI-ALPS indices were analyzed to determine which ROIs related to functional reorganization were associated with glymphatic function in CS and PS patients. Cross-lagged panel models (CLPMs) were constructed to analyze the temporal sequence of functional reorganization and glymphatic dysfunction. RESULTS: Both CS and PS patients exhibited focal CVR reorganization and reduced DTI-ALPS indices. Significant associations between CVR and DTI-ALPS indices were found in the putamen and thalamus in both groups. In the putamen, among CS patients, baseline CVR was negatively correlated with both baseline and 90-day ipsilesional hemispheric DTI-ALPS indices (IL.DTI-ALPS) (r = -0.479, p = 0.001; r = -0.493, p < 0.001). In PS patients, baseline contralesional hemispheric DTI-ALPS indices (CL.DTI-ALPS) was negatively correlated with both baseline and 90-day CVR (r = -0.510, p = 0.006; r = -0.532, p = 0.004). Similar patterns of association were observed in the thalamus. Additionally, CLPMs revealed that in CS patients, CVR changes were temporally associated with subsequently reduced DTI-ALPS, while in PS patients, reduced DTI-ALPS were temporally associated with subsequent CVR changes. CONCLUSIONS: Focal CVR reorganization in the putamen and thalamus was associated with post-stroke glymphatic dysfunction in a bidirectional, lesion-location-specific manner. These findings enhance our understanding of post-stroke glymphatic impairment and may help inform strategies to mitigate post-stroke cognitive decline. </p>","PeriodicalId":37465,"journal":{"name":"Brain Informatics","volume":"12 1","pages":"24"},"PeriodicalIF":8.3000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12484500/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s40708-025-00273-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0
Abstract
BACKGROUND: Ischemic stroke may impair glymphatic clearance, but whether this is associated with post-stroke brain functional reorganization in humans remains unclear. METHODS: We prospectively enrolled 48 capsular stroke (CS) patients, 28 pontine stroke (PS) patients, and 50 healthy controls. All participants underwent MRI examinations at baseline (< 7 days) and 90 days post-stroke. Cerebrovascular reactivity (CVR) and the diffusion tensor imaging along the perivascular space (DTI-ALPS) index were measured to assess functional reorganization and glymphatic function. Regions with significant intergroup CVR differences were identified as regions-of-interest (ROIs) reflecting focal functional reorganization. Correlations between ROI-based CVR and DTI-ALPS indices were analyzed to determine which ROIs related to functional reorganization were associated with glymphatic function in CS and PS patients. Cross-lagged panel models (CLPMs) were constructed to analyze the temporal sequence of functional reorganization and glymphatic dysfunction. RESULTS: Both CS and PS patients exhibited focal CVR reorganization and reduced DTI-ALPS indices. Significant associations between CVR and DTI-ALPS indices were found in the putamen and thalamus in both groups. In the putamen, among CS patients, baseline CVR was negatively correlated with both baseline and 90-day ipsilesional hemispheric DTI-ALPS indices (IL.DTI-ALPS) (r = -0.479, p = 0.001; r = -0.493, p < 0.001). In PS patients, baseline contralesional hemispheric DTI-ALPS indices (CL.DTI-ALPS) was negatively correlated with both baseline and 90-day CVR (r = -0.510, p = 0.006; r = -0.532, p = 0.004). Similar patterns of association were observed in the thalamus. Additionally, CLPMs revealed that in CS patients, CVR changes were temporally associated with subsequently reduced DTI-ALPS, while in PS patients, reduced DTI-ALPS were temporally associated with subsequent CVR changes. CONCLUSIONS: Focal CVR reorganization in the putamen and thalamus was associated with post-stroke glymphatic dysfunction in a bidirectional, lesion-location-specific manner. These findings enhance our understanding of post-stroke glymphatic impairment and may help inform strategies to mitigate post-stroke cognitive decline.
期刊介绍:
Brain Informatics is an international, peer-reviewed, interdisciplinary open-access journal published under the brand SpringerOpen, which provides a unique platform for researchers and practitioners to disseminate original research on computational and informatics technologies related to brain. This journal addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics. It also welcomes emerging information technologies and advanced neuro-imaging technologies, such as big data analytics and interactive knowledge discovery related to various large-scale brain studies and their applications. This journal will publish high-quality original research papers, brief reports and critical reviews in all theoretical, technological, clinical and interdisciplinary studies that make up the field of brain informatics and its applications in brain-machine intelligence, brain-inspired intelligent systems, mental health and brain disorders, etc. The scope of papers includes the following five tracks: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing