Cognitive impairment due to widespread enlarged perivascular spaces.
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ABSTRACT:
SUBMITTER: Yamaguchi Y
PROVIDER: S-EPMC8319478 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Background and aimsEnlarged perivascular spaces (also known as Virchow-Robin spaces) on T2-weighted brain magnetic resonance imaging are common, but their etiology, and specificity to small vessel as opposed to general cerebrovascular disease or ageing, is unclear. We tested the association between enlarged perivascular spaces and ischemic stroke subtype, other markers of small vessel disease, and common vascular risk factors.MethodsWe prospectively recruited patients with acute stroke, diagnosed and subtyped by a stroke physician using clinical features and brain magnetic resonance imaging. A neuroradiologist rated basal ganglia and centrum semiovale enlarged perivascular spaces on a five-point scale, white matter lesions, recent and old infarcts, and cerebral atrophy. We assessed associations between basal ganglia-, centrum semiovale- and total (combined basal ganglia and centrum semiovale) enlarged perivascular spaces, stroke subtype, white matter lesions, atrophy, and vascular risk factors.ResultsAmong 298 patients (mean age 68 years), after adjusting for vascular risk factors and white matter lesions, basal ganglia-enlarged perivascular spaces were associated with increasing age (P = 0.001), centrum semiovale-enlarged perivascular spaces (P < 0.001), cerebral atrophy (P = 0.03), and lacunar stroke subtype (P = 0.04). Centrum semiovale-enlarged perivascular spaces were associated mainly with basal ganglia-enlarged perivascular spaces. Total enlarged perivascular spaces were associated with increasing age (P = 0.01), deep white matter lesions (P = 0.005), and previous stroke (P = 0.006).ConclusionsEnlarged perivascular spaces are associated with age, lacunar stroke subtype and white matter lesions and should be considered as another magnetic resonance imaging marker of cerebral small vessel disease. Further evaluation of enlarged perivascular spaces in studies of ageing, stroke, and dementia is needed to determine their pathophysiological importance.
| S-EPMC4463944 | biostudies-literature
Project description:Enlarged perivascular spaces (ePVS), visible on magnetic resonance imaging (MRI), are associated with aortic pulse wave changes produced by arterial stiffening. However, the relationship between ePVS and cognition is still unclear. We aimed to benchmark current knowledge of associations between ePVS and cognitive function using a meta-analysis of all available published data. We searched three databases for studies examining ePVS and cognition, identified seven studies involving 7,816 participants, plotted multivariate-adjusted odds ratio (OR) and 95% CI and generated summary OR with a fixed effects model. EPVS were related to the risk of impaired cognition (OR?=?1.387, 95% CI?=?1.198-1.606, z=4.38, P<0.001) with low heterogeneity. There was publication bias, which could be corrected by trimming and supplementation (OR=1.297, 95% CI= 1.130-1.490). EPVS were associated with impaired cognition and may be a sign of cognitive impairment rather than particular diseases. More studies are required to validate ePVS as a measurable risk marker for cognition using consistent methods to determinea characteristic appearance of ePVS.
| S-EPMC7243265 | biostudies-literature
Project description:Background and purposeEnlarged perivascular spaces (EPVS) have been associated with aging, increased stroke risk, decreased cognitive function, and vascular dementia. However, the relationship of EPVS with age-related neuropathologies is not well understood. Therefore, the purpose of this study was to assess the neuropathologic correlates of EPVS in a large community-based cohort of older adults. The cognitive correlates of EPVS over and beyond those of other pathologies were also assessed.MethodsThis study included 654 older deceased and autopsied participants of 3 longitudinal community-based studies of aging that had available data on cognition, ex vivo brain magnetic resonance imaging, and detailed neuropathologic examination. EPVS seen on ex vivo magnetic resonance imaging were histologically validated. Experienced observers rated EPVS burden in ex vivo magnetic resonance imaging using a semiquantitative 4-level scale. Elastic-net regularized ordinal logistic regression was used to investigate associations of EPVS burden with age-related neuropathologies. Mixed-effects models of cognition controlling for neuropathologies, demographics, and clinical factors, were used to determine whether EPVS burden has additional contributions to cognitive decline.ResultsEPVS burden in the whole group was associated with gross infarcts (odds ratio=1.67, P=0.0017) and diabetes mellitus (odds ratio=1.73, P=0.004). When considering only nondemented participants (with mild or no cognitive impairment), EPVS burden was associated with gross infarcts (odds ratio=1.74, P=0.016) and microscopic infarcts (odds ratio=1.79, P=0.013). EPVS burden was associated with faster decline in visuospatial abilities (estimate=-0.009, P=0.028), in the whole group, as well as lower levels of semantic memory (estimate=-0.13, P=0.048) and visuospatial abilities (estimate=-0.11, P=0.016) at the time of death.ConclusionsEPVS and infarcts may share similar neurobiological pathways regardless of dementia status. EPVS burden is linked to diabetes mellitus independently of neuropathologies, extending recent findings in animal studies implicating diabetes mellitus in impairment of the glymphatic system. Finally, EPVS burden may reflect additional brain tissue injury that may contribute to cognitive decline, not captured with traditional neuropathologic measures.
| S-EPMC7484322 | biostudies-literature
Project description:ObjectiveTo examine the association between enlarged perivascular spaces (EPVS) and the prevalence and extent of small acute diffusion-weighted imaging (DWI) lesions (SA-DWIL) in patients with spontaneous supratentorial intracerebral hemorrhage (ICH).MethodsWe conducted a retrospective review of a consecutive cohort of 201 patients with spontaneous supratentorial ICH who had brain MRI with DWI within 1 month of ICH onset. We compared the clinical and imaging characteristics, including EPVS, of patients with and without SA-DWIL. We used univariate and multivariate logistic regression analyses to determine the variables associated with SA-DWIL.ResultsSmall acute DWI lesions were detected in 27.9% (n = 56) of patients. Intraventricular and subarachnoid extension of ICH (p ≤ 0.001), high centrum semiovale (CSO)-EPVS (p < 0.001), high basal ganglia-EPVS (p = 0.007), overall extent of white matter hyperintensity (p = 0.018), initial ICH volume (p < 0.001), and mean change in mean arterial blood pressure (δ MAP = MAP at admission - the lowest MAP before MRI scan) (p = 0.027) were associated with SA-DWIL on univariate analyses. On multivariate logistic regression analyses, larger ICH volume (odds ratio [OR] 1.03; 95% confidence interval [CI] 1.01-1.06; p = 0.006) and high CSO-EPVS (OR 12.56; 95% CI 4.40-35.85; p < 0.001) were independently associated with the presence of SA-DWIL.ConclusionsIn our cohort, high EPVS, in particular CSO-EPVS, and larger hematoma volume emerged as independent predictors for SA-DWIL after ICH. Our findings might provide a new explanation for the pathophysiologic mechanisms predisposing to SA-DWIL after ICH.
| S-EPMC4676754 | biostudies-literature
Project description:Deep learning has been demonstrated effective in many neuroimaging applications. However, in many scenarios, the number of imaging sequences capturing information related to small vessel disease lesions is insufficient to support data-driven techniques. Additionally, cohort-based studies may not always have the optimal or essential imaging sequences for accurate lesion detection. Therefore, it is necessary to determine which imaging sequences are crucial for precise detection. This study introduces a deep learning framework to detect enlarged perivascular spaces (ePVS) and aims to find the optimal combination of MRI sequences for deep learning-based quantification. We implemented an effective lightweight U-Net adapted for ePVS detection and comprehensively investigated different combinations of information from SWI, FLAIR, T1-weighted (T1w), and T2-weighted (T2w) MRI sequences. The experimental results showed that T2w MRI is the most important for accurate ePVS detection, and the incorporation of SWI, FLAIR and T1w MRI in the deep neural network had minor improvements in accuracy and resulted in the highest sensitivity and precision (sensitivity =0.82, precision =0.83). The proposed method achieved comparable accuracy at a minimal time cost compared to manual reading. The proposed automated pipeline enables robust and time-efficient readings of ePVS from MR scans and demonstrates the importance of T2w MRI for ePVS detection and the potential benefits of using multimodal images. Furthermore, the model provides whole-brain maps of ePVS, enabling a better understanding of their clinical correlates compared to the clinical rating methods within only a couple of brain regions.
| S-EPMC10078801 | biostudies-literature
Project description:Purpose To describe a fully automated segmentation method that yields object-based morphologic estimates of enlarged perivascular spaces (ePVSs) in clinical-field-strength (3.0-T) magnetic resonance (MR) imaging data. Materials and Methods In this HIPAA-compliant study, MR imaging data were obtained with a 3.0-T MR imager in research participants without dementia (mean age, 85.3 years; range, 70.4-101.2 years) who had given written informed consent. This method is built on (a) relative normalized white matter, ventricular and cortical signal intensities within T1-weighted, fluid-attenuated inversion recovery, T2-weighted, and proton density data and (b) morphologic (width, volume, linearity) characterization of each resultant cluster. Visual rating was performed by three raters, including one neuroradiologist, after established single-section guidelines. Correlations between visual counts and automated counts, as well session-to-session correlation of counts within each participant, were assessed with the Pearson correlation coefficient r. Results There was a significant correlation between counts by visual raters and automated detection of ePVSs in the same section (r = 0.65, P < .001; r = 0.69, P < .001; and r = 0.54, P < .01 for raters 1, 2, and 3, respectively). With regard to visual ratings and whole-brain count consistency, average visual rating scores were highly correlated with automated detection of total burden volume (r = 0.58, P < .01) and total ePVS number (r = 0.76, P < .01). Morphology of clusters across 28 data sets was consistent with published radiographic estimates of ePVS; mean width of clusters segmented was 3.12 mm (range, 1.7-13.5 mm). Conclusion This MR imaging-based method for multimodal autoidentification of perivascular spaces yields individual whole-brain morphologic characterization of ePVS in clinical MR imaging data and is an important tool in the detailed assessment of these features. © RSNA, 2017 Online supplemental material is available for this article.
| S-EPMC5790307 | biostudies-literature
Project description:Enlarged perivascular spaces (EPVS) are widely considered as a feature of cerebral small vessel diseases (SVD), but its underlying pathology is still under active investigation. The aim of this study was to explore the association between hemoglobin level and the severity of EPVS. Consecutive patients with acute ischemic stroke who underwent baseline MRI scan and hemoglobin testing were evaluated. EPVS in basal ganglia (BG) and central semiovale (CS) were rated with a validated 4-point semiquantitative scale (0 = none; 1 = 1-10; 2 = 11-20; 3 = 21-40; and 4 ≥ 40). Bivariate logistic regression models were used to identify the associations of hemoglobin with predefined high-degree (score > 1) CS-EPVS and BG-EPVS. Multinomial logistic regression models were used to analyze the associations between hemoglobin and CS-/BG-EPVS predominance patterns. A total of 401 patients were included in the final analysis, 94 patients (23.4%) had a high degree of CS-EPVS and 45 patients (11.2%) had a high degree of BG-EPVS. Compared with tertile 1 of hemoglobin, tertile 3 of hemoglobin was independently associated with high degree of CS-EPVS after adjusting for other features of SVD (odds ratio [OR] 2.399, 95% confidence interval [CI] 1.315-4.379, P = 0.004) and potential confounding factors (OR 2.611, 95% CI 1.346-5.066, P = 0.005). In multinomial logistic regression models, compared with tertile 1 of hemoglobin, tertile 2 (OR 2.463, 95% CI 1.195-5.075, P = 0.015) and tertile 3 (OR 2.625, 95% CI 1.102-6.251, P = 0.029) of hemoglobin were associated with higher odds of BG-EPVS = CS-EPVS pattern, and tertile 3 of hemoglobin (OR 2.576, 95% CI 1.004-6.608, P = 0.049) was associated with higher odds of BG-EPVS < CS-EPVS pattern. Elevated hemoglobin level was independently associated with high degree of CS-EPVS and higher odds of CS-EPVS predominance pattern, but not with BG-EPVS, which support that the topography of EPVS is characteristic. However, the pathogenesis linking hemoglobin and CS-EPVS is unclear and still needs further investigation.
| S-EPMC7854720 | biostudies-literature
Project description:ObjectivesRecent studies reported that 24-hour ambulatory blood pressure variability (ABPV) was associated with lacunar infarction and white matter hyperintensities (WMH). However, the relationship between ABPV and enlarged perivascular spaces (EPVS) has not been investigated. Thus, our study aimed to investigate whether ABPV is associated with EPVS by 24-hour ambulatory blood pressure monitoring (ABPM).DesignWe conducted this study as a cross-sectional study.SettingsThe study was based on patients who presented for physical examinations in our hospital from May 2013 to June 2016.ParticipantsPatients with both brain MRI scans and 24-hour ABPM were included and patients with acute stroke, a history of severe stroke and some other severe diseases were excluded. A total of 573 Chinese patients were prospectively enrolled in this study.Primary and secondary outcome measuresEPVS in basal ganglia (BG) and white matter (WM) were identified on MRI and classified into three categories by the severity. WMH were scored by the Fazekas scale. Coefficient of variation (CV) and SD were considered as metrics of ABPV. Spearman correlation analysis and ordinal logistic regression analysis were used to assess the relationship between ABPV and EPVS.ResultsThere were statistical differences among the subgroups stratified by the severity of EPVS in BG in the following ABPV metrics: SD and CV of systolic blood pressure (SBP), CV of diastolic blood pressure (DBP) in 24 hours, daytime and nighttime and SD of DBP in nighttime. The above ABPV metrics were positively associated with the degree of EPVS. The association was unchanged after adjusting for confounders. Spearman correlation analysis showed ABPV was not related to the degree of EPVS in the WM.ConclusionABPV was independently associated with EPVS in BG after controlling for blood pressure, but not in the WM. Pathogenesis of EPVS in BG and WM might be different.
| S-EPMC5724164 | biostudies-literature
Project description:ObjectiveTo explore whether MRI-visible enlarged perivascular spaces (EPVS) are associated with migraine and may serve as a predictor of migraine. Then further explore its correlation with migraine chronification.MethodsA total of 231 participants (healthy control [HC] = 57, episodic migraine [EM] = 59, chronic migraine [CM] = 115) were included in this case-control study. A 3T MRI device and the validated visual rating scale were used to assess the grades of EPVS in centrum semiovale (CSO), midbrain (MB), and basal ganglia (BG). Comparisons between the two groups were made using the chi-square or Fisher's exact tests to initially determine whether high-grade EPVS were associated with migraine and migraine chronification. A multivariate logistic regression model was constructed to further investigate the role of high-grade EPVS in migraine.ResultsThe prevalence of high-grade EPVS in CSO and MB were significantly higher in patients with migraine than in HCs (CSO: 64.94% vs. 42.11%, P = 0.002; MB: 55.75% vs. 29.82%, P = 0.001). Subgroup analysis showed no statistical difference between patients with EM and CM (CSO: 69.94% vs. 62.61%, P = 0.368; MB: 50.85% vs. 58.26%, P = 0.351). Individuals with high-grade EPVS in CSO (odds ratio [OR]: 2.324; 95% confidence interval [CI]: 1.136-4.754; P = 0.021) and MB (OR: 3.261; 95% CI: 1.534-6.935; P = 0.002) were more likely to suffer from migraine.InterpretationThis case-control study showed that high-grade EPVS in CSO and MB in clinical practice with the underlying mechanism of dysfunction of the glymphatic system could be a predictor of migraine, but no significant correlation had been found with migraine chronification.
| S-EPMC10351656 | biostudies-literature
Project description:BACKGROUND:Perivascular spaces can become detectable on magnetic resonance imaging (MRI) upon enlargement, referred to as enlarged perivascular spaces (EPVS) or Virchow-Robin spaces. EPVS have been linked to small vessel disease. Some studies have also indicated an association of EPVS to neuroinflammation and/or neurodegeneration. However, there is conflicting evidence with regards to their potential as a clinically relevant imaging biomarker in multiple sclerosis (MS). METHODS:To perform a systematic review and meta-analysis of EPVS as visualized by MRI in MS. Nine out of 299 original studies addressing EPVS in humans using MRI were eligible for the systematic review and meta-analysis including a total of 457 MS patients and 352 control subjects. RESULTS:In MS, EPVS have been associated with cognitive decline, contrast-enhancing MRI lesions, and brain atrophy. Yet, these associations were not consistent between studies. The meta-analysis revealed that MS patients have greater EPVS prevalence (odds ratio?=?4.61, 95% CI?=?[1.84; 11.60], p?=?0.001) as well as higher EPVS counts (standardized mean difference [SMD]?=?0.46, 95% CI?=?[0.26; 0.67], p?<?0.001) and larger volumes (SMD?=?0.88, 95% CI?=?[0.19; 1.56], p?=?0.01) compared to controls. CONCLUSIONS:Available literature suggests a higher EPVS burden in MS patients compared to controls. The association of EPVS to neuroinflammatory or -degenerative pathology in MS remains inconsistent. Thus, there is currently insufficient evidence supporting EPVS as diagnostic and/or prognostic marker in MS. In order to benefit future comparisons of studies, we propose recommendations on EPVS assessment standardization in MS. PROSPERO No: CRD42019133946.
| S-EPMC7577911 | biostudies-literature