Quantity and Morphology of Perivascular Spaces: Associations With Vascular Risk Factors and Cerebral Small Vessel Disease

2021 ◽  
Author(s):  
Shuyue Wang ◽  
Peiyu Huang ◽  
Ruiting Zhang ◽  
Hui Hong ◽  
Yeerfan Jiaerken ◽  
...  
Keyword(s):  
Risk Factors ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Vascular Risk Factors ◽  
Small Vessel ◽  
Perivascular Spaces ◽  
Vascular Risk ◽  
Vessel Disease

scholarly journals A Case of Sporadic Cerebral Small Vessel Disease in an Identical Twin

2020 ◽  
Vol 12 (3) ◽  
pp. 416-421
Author(s):  
Hilde van den Brink ◽  
Nick A. Weaver ◽  
Geert Jan Biessels
Keyword(s):  
Risk Factors ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Vascular Risk Factors ◽  
Small Vessel ◽  
Vascular Risk ◽  
Vessel Disease ◽  
Causative Factors ◽  
Potential Risk Factors ◽  
Clinical Consequences

Sporadic cerebral small vessel disease (cSVD) is primarily attributed to heritability and vascular risk factors. Still, our understanding of the causative factors in cSVD lesion burden in the brain is far from complete. This is exemplified by this case of identical twins with remarkably similar vascular risk profiles, where one twin had developed severe cSVD on neuroimaging with cognitive deficits, while the other twin had no cSVD. This case highlights the need to search for further causes of cSVD, also beyond genetic and conventional vascular risk factors. Identification of other potential risk factors or disease mechanisms should be a priority for cSVD research to improve our understanding, prevention and treatment of this common cause of vascular brain injury with major clinical consequences.

scholarly journals Perivascular spaces on 7 Tesla brain MRI are related to markers of small vessel disease but not to age or cardiovascular risk factors

2016 ◽  
Vol 36 (10) ◽  
pp. 1708-1717 ◽  
Author(s):  
Willem H Bouvy ◽  
Jaco JM Zwanenburg ◽  
Rik Reinink ◽  
Laura EM Wisse ◽  
Peter R Luijten ◽  
...  
Keyword(s):  
Risk Factors ◽  
Basal Ganglia ◽  
Small Vessel Disease ◽  
Brain Mri ◽  
Vascular Risk Factors ◽  
Small Vessel ◽  
7 Tesla ◽  
Perivascular Spaces ◽  
Vascular Risk ◽  
Vessel Disease

Cerebral perivascular spaces (PVS) are small physiological structures around blood vessels in the brain. MRI visible PVS are associated with ageing and cerebral small vessel disease (SVD). 7 Tesla (7T) MRI improves PVS detection. We investigated the association of age, vascular risk factors, and imaging markers of SVD with PVS counts on 7 T MRI, in 50 persons aged ≥ 40. The average PVS count ± SD in the right hemisphere was 17 ± 6 in the basal ganglia and 71 ± 28 in the semioval centre. We observed no relation between age or vascular risk factors and PVS counts. The presence of microbleeds was related to more PVS in the basal ganglia (standardized beta 0.32; p = 0.04) and semioval centre (standardized beta 0.39; p = 0.01), and white matter hyperintensity volume to more PVS in the basal ganglia (standardized beta 0.41; p = 0.02). We conclude that PVS counts on 7T MRI are high and are related SVD markers, but not to age and vascular risk factors. This latter finding may indicate that due to the high sensitivity of 7T MRI, the correlation of PVS counts with age or vascular risk factors may be attenuated by the detection of “normal”, non-pathological PVS.

Abstract TP407: Effects of Remote Ischemic Conditioning on Cerebral Small Vessel Disease Outcomes

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Yuan Wang ◽  
Haiqing Song ◽  
Kai Dong ◽  
Ran Meng ◽  
Shuying Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Flow Velocity ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Vascular Risk Factors ◽  
Control Group ◽  
Vascular Risk ◽  
Remote Ischemic Conditioning ◽  
Ischemic Conditioning ◽  
Vessel Disease

Objective: To evaluate the preliminary efficacy of remote ischemic conditioning (RIC) on patients with cerebral small vessel disease (SVD). Methods: Thirty patients diagnosed with symptomatic SVD within 30 days of onset were enrolled in this prospectively randomized controlled study for 1 year. All patients received routine medical treatment including treating vascular risk factors according to the guideline. Patients in the experimental group (n=14) were administered 5 cycles consisting of ischemia followed by reperfusion for 5 minutes on bilateral upper limbs twice daily for 1 year. Those in the control group (n=16) underwent sham ischemia-reperfusion cycles. Primary outcome was the change of cognitive function measured by mini-mental state examination (MMSE) and montreal cognitive assessment scale (MoCA), and secondary outcomes were changes of plasma biomarkers, cerebral hemodynamic parameters measured by vascular ultrasound and brain lesions measured by MRI FLAIR both at baseline and at the end of 1 year visit. Results: Compared with patients in the control group, patients in the RIC group had higher flow velocity (FV), and lower pulsatility index (PI), but without statistical difference. Patients in the RIC group had improvement in visuospatial and executive abilities (3.86±1.03 vs. 4.43±0.85, p=0.026), reduced plasma triglyceride (1.60±0.74 vs. 1.25±0.38, p=0.019), low density lipoprotein (2.89±0.81 vs. 2.26±0.67, p=0.003) and homocysteine (15.66±10.11 vs. 13.66±9.80 p=0.017). Similarly in the RIC group, the diastolic flow velocity (DFV) of middle cerebral artery (MCA) (right: 33.93±7.67 vs. 36.93±6.12, p=0.032; left: 33.93±7.67 vs. 36.93± 6.12, p=0.032) and the mean flow velocity (MFV) of left MCA (35.00±5.04 vs. 39.50±5.59, p=0.003) increased, and the PI of MCA (right: 1.11±0.19 vs. 1.02±0.14 p=0.030; left: 1.10±0.22 vs. 0.99±0.14, p=0.037) decreased. Conclusion: RIC appears to be potentially effective for improving cognition, enhancing cerebral perfusion, and modifying vascular risk factors in SVD patients. Further studies focusing on long-term neurological outcomes and potential mechanisms underlying RIC on SVD patients are needed.

scholarly journals Associations of Vascular Risk Factors and APOE Genotype With Perivascular Spaces Among Community‐Dwelling Older Adults

2020 ◽  
Vol 9 (16) ◽  
Author(s):  
Anna Laveskog ◽  
Rui Wang ◽  
Davide L. Vetrano ◽  
Lena Bronge ◽  
Lars‐Olof Wahlund ◽  
...  
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
White Matter ◽  
Magnetic Resonance ◽  
Orthostatic Hypotension ◽  
Small Vessel Disease ◽  
Vascular Risk Factors ◽  
Perivascular Spaces ◽  
Vascular Risk ◽  
Vessel Disease

Background Evidence suggests that enlarged perivascular spaces (PVSs) may represent a marker for cerebral small‐vessel disease. We investigated whether vascular risk factors are correlated with visible PVS in older adults. Methods and Results This population‐based study included 530 participants (age ≥60 years) who were free from dementia and functional dependence, derived from the Swedish National study on Aging and Care in Kungsholmen (2001–2003). We collected data on demographics, vascular risk factors, and health conditions through interviews, clinical examinations, laboratory tests, and patient registers. Cerebral PVSs and white matter hyperintensities on magnetic resonance images were visually assessed with semiquantitative visual rating scales. Data were analyzed using the general linear regression models. After controlling for demographics and cardiovascular disease, very high blood pressure (≥160/100 mm Hg) was significantly associated with global PVS score (β‐coefficient, 1.30; 95% CI, 0.06–2.53) and orthostatic hypotension was associated with PVS score in the basal ganglia (β‐coefficient 0.37; 0.03–0.70), but the associations became non‐significant when adjusting for white matter hyperintensity load. Orthostatic hypotension was significantly associated with global and lobar PVS scores in carriers but not in noncarriers of the APOE ε4 allele. Global or regional PVS score was not significantly associated with other traditional vascular risk factors such as smoking, diabetes mellitus, physical inactivity, and overweight or obesity. Conclusions This study provides limited evidence supporting a correlation of magnetic resonance imaging–visible PVS with traditional vascular risk factors in older adults. The association of orthostatic hypotension with lobar PVS among APOE ε4 carriers suggests that lobar PVS may be a marker for amyloid‐associated small‐vessel disease.

Abstract W MP58: The Relationship Between Carotid Stiffness, Diastolic Diameter, and White Matter Hyperintensity Volume: The Northern Manhattan Study

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Matthew S Markert ◽  
Chuanhui Dong ◽  
David Della-Morte ◽  
Eugene Roberts ◽  
Susanne Bartels ◽  
...  
Keyword(s):  
Risk Factors ◽  
White Matter ◽  
Small Vessel Disease ◽  
Vascular Risk Factors ◽  
Small Vessel ◽  
White Matter Hyperintensity ◽  
Large Artery ◽  
Vascular Risk ◽  
Vessel Disease ◽  
Carotid Stiffness

Background: Changes in the extracranial vasculature may be associated with small vessel disease in the brain. We sought to examine the association of carotid stiffness and carotid diastolic diameter with white matter hyperintensity volume (WMHV), a magnetic resonance imaging (MRI) measure for cerebral small vessel disease, in a multi-ethnic community-based cohort. Methods: We evaluated 1140 stroke-free participants in the Northern Manhattan study who underwent brain MRIs and high-resolution carotid ultrasounds. We used linear regression to examine carotid stiffness and diastolic diameter with WMHV after adjusting for sociodemographics, lifestyle behaviors, and traditional vascular risk factors. Results: Among 1140 participants (mean age: 70.6±9.0 years; 61% women; 15% White, 16% Black, 59% Hispanics), the mean carotid stiffness was 8.19 ± 5.39, mean carotid diastolic diameter was 6.16 ± 0.93 mm, and mean WMHV 0.68 ± 0.84. In a fully adjusted model, diastolic diameter was associated with log-WMHV (β=0.10, p=0.001). In a stratified multivariable linear model, greater carotid arterial stiffness and diastolic diameter were associated with log-WMHV among Hispanics (β=0.15, p=0.005 and β=0.13, p<0.001, respectively), but not among blacks or whites. Conclusion: Greater carotid stiffness and diastolic diameter were associated with greater WMHV independent of demographics and traditional vascular risk factors, especially among Hispanics. Further studies are needed to understand how these large artery characteristics relate to WMH formation and lesion load. Carotid ultrasound may be a useful tool to assess the risk of increased brain white matter disease in a pre-clinical stage.

scholarly journals Cerebral Small‐Vessel Disease and Risk of Incidence of Depression: A Meta‐Analysis of Longitudinal Cohort Studies

2020 ◽  
Vol 9 (15) ◽  
Author(s):  
Yuanyuan Fang ◽  
Tingting Qin ◽  
Wenhua Liu ◽  
Lusen Ran ◽  
Yuan Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Studies ◽  
Small Vessel Disease ◽  
Meta Analysis ◽  
Cerebral Atrophy ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Perivascular Spaces ◽  
Longitudinal Cohort ◽  
Vessel Disease

Background Results of several longitudinal cohort studies suggested an association between cerebral small‐vessel disease and depression. Therefore, we performed a meta‐analysis to explore whether cerebral small‐vessel disease imparts increased risk for incident depression. Methods and Results We searched prospective cohort studies relevant to the relationship between cerebral small‐vessel disease and incident depression published through September 6, 2019, which yielded 16 cohort studies for meta‐analysis based on the relative odds ratio (OR) calculated with fixed‐ and random‐effect models. Baseline white matter hyperintensities (WMHs) (pooled OR, 1.37; 95% CI, 1.14–1.65), enlarged perivascular spaces (pooled OR, 1.33; 95% CI, 1.03–1.71), and cerebral atrophy (pooled OR, 2.83; 95% CI, 1.54–5.23) were significant risk factors for incident depression. Presence of deep WMHs (pooled OR, 1.47; 95% CI, 1.05–2.06) was a stronger predictor of depression than were periventricular WMHs (pooled OR, 1.31; 95% CI, 0.93–1.86). What's more, the pooled OR increased from 1.20 for the second quartile to 1.96 for the fourth quartile, indicating that higher the WMH severity brings greater risk of incident depression (25th–50th: pooled OR, 1.20; 95% CI, 0.68–2.12; 50th–75th; pooled OR, 1.42; 95% CI, 0.81–2.46; 75th–100th: OR, 1.96; 95% CI, 1.06–3.64). These results were stable to subgroup analysis for age, source of participants, follow‐up time, and methods for assessing WMHs and depression. Conclusions Cerebral small‐vessel disease features such as WMHs, enlarged perivascular spaces, and cerebral atrophy, especially the severity of WMHs and deep WMHs, are risk factors for incident depression.

scholarly journals Carotid artery wall stiffness is increased in patients with small vessel disease: A case-control study

2016 ◽  
Vol 144 (1-2) ◽  
pp. 6-9 ◽  
Author(s):  
Denisa Salihovic-Hajdarevic ◽  
Aleksandra Pavlovic ◽  
Dzevdet Smajlovic ◽  
Ana Podgorac ◽  
Zagorka Jovanovic ◽  
...  
Keyword(s):  
Risk Factors ◽  
Carotid Artery ◽  
Arterial Stiffness ◽  
Small Vessel Disease ◽  
Vascular Risk Factors ◽  
Small Vessel ◽  
Vascular Risk ◽  
Vessel Disease ◽  
Increased Risk ◽  
Atheromatous Plaques

Introduction. Cerebral ischemic small-vessel disease (SVD), causing lacunar infarcts and white matter hyperintensities on brain magnetic resonance imaging (MRI), is a progressive disease associated with an increased risk of stroke, dementia and death. Increased arterial stiffness has been associated with ischemic stroke and cerebral SVD independently of common vascular risk factors. Objective. The aim of the study was to analyze arterial stiffness in our patients with symptomatic SVD. Methods. In a cross-sectional study design we included 30 patients with clinical and MRI evidence of cerebral SVD and 30 age-, gender- and risk factor-matched control subjects with no neurological diseases. Patients were evaluated at the Ultrasound Laboratory at the Neurology Clinic, Clinical Center of Serbia in Belgrade, during a three-month period (from September 1st to December 1st 2012). Baseline demographic and vascular risk factors were recorded. All patients underwent standard carotid ultrasound scans with measuring of intima-media thickness (IMT) and analysis of atheromatous plaques. Internal carotid artery stiffness was evaluated with the use of e-tracking option as beta stiffness index (BSI) value. Results. There were no differences between study groups in regard to degree of carotid stenosis and type of carotid plaques (p>0.05). Patients in SVD group had significantly higher mean IMT (p=0.0093) and mean BSI (p<0.0001) than subjects in the control group. No significant correlation was detected between IMT and BSI in SVD group (r=0.168; p=0.376). Brain lesions severity correlated with BSI (r=0.733; p<0.0001). Conclusion. Arterial stiffness is increased in symptomatic patients with SVD, independently of vascular risk factors and IMT.

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