Markers Of Cerebral Small Vessel Disease Research Articles

The possible causal relationship between COVID-19 and imaging markers of cerebral small vessel disease: a Mendelian randomization study

ABSTRACT Objectives Observational studies have suggested that SARS-CoV-2 infection may increase the burden of cerebral small vessel disease (CSVD). This study aims to explore the causal correlation between COVID-19 and the imaging markers of CSVD using Mendelian randomization (MR) methods. Methods Summary-level genome-wide association study (GWAS) statistics for COVID-19 susceptibility, hospitalization, and severity were utilized as proxies for exposure. Large-scale meta-analysis GWAS data on three neuroimaging markers of white matter hyperintensity, lacunar stroke, and brain microbleeds, were employed as outcomes. Our primary MR analysis employed the inverse variance weighted (IVW) approach, supplemented by MR-Egger, weighted median, and MR-PRESSO methods. We also conducted multivariable MR analysis to address confounding bias and validate the robustness of the established causal estimates. Comprehensive sensitivity analyses included Cochran’s Q test, Egger-intercept analysis, MR-PRESSO, and leave-one-out analysis. Results The MR analysis revealed a significant causal correlation between the severity of COVID-19 and an increased risk of lacunar stroke, as demonstrated by the IVW method (ORivw = 1.08, 95% CI: 1.03–1.16, pivw = 0.005, FDR = 0.047). Nevertheless, no causal correlations were observed between COVID-19 susceptibility or hospitalization and any CSVD imaging markers. The robustness and stability of these findings were further confirmed by multivariable MR analysis and comprehensive sensitivity analyses. Discussion This study provides compelling evidence of a potential causal effect of severe COVID-19 on the incidence of lacunar stroke, which may bring fresh insights into the understanding of the comorbidity between COVID-19 and CSVD.

Impaired Kidney Function, Cerebral Small Vessel Disease and Cognitive Disorders: The Framingham Heart Study.

It remains unclear if the relation of chronic kidney disease (CKD) with cognitive dysfunction is independent of blood pressure (BP). We evaluated kidney function in relation to premorbid BP measurements, cerebral small vessel disease (CSVD) and incident mild cognitive impairment (MCI) and dementia in Framingham Offspring Cohort participants. We included Framingham Offspring participants free of dementia, attending an examination during midlife (exam cycle 6, baseline) for ascertainment of kidney function status, with brain MRI late in life (exam cycles 7-9), cognitive outcome data and available interim hypertension and blood pressure assessments. We related CKD (estimated glomerular filtration rate<60ml/min/1.73m2) and albuminuria (urine albumin-to-creatinine ratio≥30mg/g) to CSVD markers and cognitive outcomes using multivariable regression analyses. Among 2604 participants (mean age 67.4±9.2, 64% women, 7% had CKD and 9% albuminuria), albuminuria was independently associated with covert infarcts (adjusted OR, 1.55 [1.00-2.38]; P=0.049) and incident MCI and dementia (adjusted HR, 1.68 [1.18-2.41]; P=0.005 and 1.71, [1.11-2.64]; P=0.015, respectively). CKD was not associated with CSVD markers but was associated with higher risk of incident dementia (HR, 1.53 [1.02-2.29]; P=0.041), While albuminuria was predictive of the Alzheimer's disease subtype (Adjusted HR=1.68, [1.03-2.74]; P=0.04), CKD was predictive of vascular dementia (Adjusted HR, 2.78, [1.16-6.68]; P=0.023). Kidney disease was associated with CSVD and cognitive disorders in asymptomatic community dwelling participants. The relation was independent of premorbid BP, suggesting that the link between kidney and brain disease may involve additional mechanisms beyond blood pressure related injury.

A Nomogram Including Total Cerebral Small Vessel Disease Burden Score for Predicting Mild Vascular Cognitive Impairment in Patients with Type 2 Diabetes Mellitus.

Total cerebral small vessel disease (CSVD) burden score is an important predictor of vascular cognitive impairment (VCI). However, few predictive models of VCI in type 2 diabetes mellitus (T2DM) patients have included the total CSVD burden score, especially in the early stage of VCI. To develop and validate a nomogram that includes the total CSVD burden score to predict mild VCI in patients with T2DM. A total of 322 eligible participants with T2DM who were divided into mild and normal cognitive groups were enrolled in this retrospective study. Demographic data, laboratory data and imaging markers of CSVD were collected. The total CSVD burden score was calculated by combining the different CSVD markers. Step-backward multivariable logistic regression analysis with the Akaike information criterion was applied to select significant predictors and develop a best-fit predictive nomogram. The performance of the nomogram was assessed in terms of discriminative ability, calibrated ability, and clinical usefulness. The nomogram model consisted of five variables: age, education, hemoglobin A1c level, serum homocysteine level, and total CSVD burden score. A nomogram with these variables showed good discriminative ability (area under the receiver operating characteristic curve was 0.801 in internal verification). In addition, the Hosmer-Lemeshow test (χ2 =9.226, P=0.417) and bootstrap-corrected calibration plot indicated that the nomogram had good calibration. The Brier score of the predictive model was 0.178. Decision curve analysis demonstrated that when the threshold probability ranged between 16% and 98%, the use of the nomogram to predict mild VCI in patients with T2DM provide a greater net benefit. The nomogram, composed of age, education, stroke, HbA1c level, Hcy level, and total CSVD burden score, had good predictive accuracy and may provide clinicians with a practical tool for predicting the risk of mild VCI in T2DM patients.

Prediction of dementia risk from multimodal repeated measures: The added value of brain MRI biomarkers.

The utility of brain magnetic resonance imaging (MRI) for predicting dementia is debated. We evaluated the added value of repeated brain MRI, including atrophy and cerebral small vessel disease markers, for dementia prediction. We conducted a landmark competing risk analysis in 1716 participants of the French population-based Three-City Study to predict the 5-year risk of dementia using repeated measures of 41 predictors till year 4 of follow-up. Brain MRI markers improved significantly the individual prediction of dementia after accounting for demographics, health measures, and repeated measures of cognition and functional dependency (area under the ROC curve [95% CI] improved from 0.80 [0.79 to 0.82] to 0.83 [0.81 to 0.84]). Nonetheless, accounting for the change over time through repeated MRIs had little impact on predictive abilities. These results highlight the importance of multimodal analysis to evaluate the added predictive abilities of repeated brain MRI for dementia and offer new insights into the predictive performances of various MRI markers. We evaluated whether repeated brain volumes and cSVD markers improve dementia prediction.The 5-year prediction of dementia is slightly improved when considering brain MRI markers.Measures of hippocampus volume are the main MRI predictors of dementia.Adjusted on cognition, repeated MRI has poor added value over single MRI for dementia prediction.We utilized a longitudinal analysis that considers error-and-missing-prone predictors, and competing death.

Temporal Ordering of Biomarkers in Dutch-Type Hereditary Cerebral Amyloid Angiopathy.

The temporal ordering of biomarkers for cerebral amyloid angiopathy (CAA) is important for their use in trials and for the understanding of the pathological cascade of CAA. We investigated the presence and abnormality of the most common biomarkers in the largest (pre)symptomatic Dutch-type hereditary CAA (D-CAA) cohort to date. We included cross-sectional data from participants with (pre)symptomatic D-CAA and controls without CAA. We investigated CAA-related cerebral small vessel disease markers on 3T-MRI, cerebrovascular reactivity with functional 7T-MRI (fMRI) and amyloid-β40 and amyloid-β42 levels in cerebrospinal fluid. We calculated frequencies and plotted biomarker abnormality according to age to form scatterplots. We included 68 participants with D-CAA (59% presymptomatic, mean age, 50 [range, 26-75] years; 53% women), 53 controls (mean age, 51 years; 42% women) for cerebrospinal fluid analysis and 36 controls (mean age, 53 years; 100% women) for fMRI analysis. Decreased cerebrospinal fluid amyloid-β40 and amyloid-β42 levels were the earliest biomarkers present: all D-CAA participants had lower levels of amyloid-β40 and amyloid-β42 compared with controls (youngest participant 30 years). Markers of nonhemorrhagic injury (>20 enlarged perivascular spaces in the centrum semiovale and white matter hyperintensities Fazekas score, ≥2, present in 83% [n=54]) and markers of impaired cerebrovascular reactivity (abnormal BOLD amplitude, time to peak and time to baseline, present in 56% [n=38]) were present from the age of 30 years. Finally, markers of hemorrhagic injury were present in 64% (n=41) and only appeared after the age of 41 years (first microbleeds and macrobleeds followed by cortical superficial siderosis). Our results suggest that amyloid biomarkers in cerebrospinal fluid are the first to become abnormal in CAA, followed by MRI biomarkers for cerebrovascular reactivity and nonhemorrhagic injury and lastly hemorrhagic injury. This temporal ordering probably reflects the pathological stages of CAA and should be taken into account when future therapeutic trials targeting specific stages are designed.

Relationship of neutrophil/lymphocyte ratio with cerebral small vessel disease and its common imaging markers.

High neutrophil/lymphocyte ratio (NLR) is associated with poor prognosis in ischemic stroke. However, the role of NLR in cerebral small vessel disease (CSVD) is controversial. Herein, we evaluated the value of NLR in identifying CSVD and its relationship with the common imaging markers of CSVD. A total of 667 patients were enrolled in this study, including 368 in the CSVD group and 299 in the non-CSVD group. Clinical, laboratory, and imaging data were collected. The relationship of NLR with CSVD and common imaging markers of CSVD were analyzed with univariate and multivariate logistic regression analysis. The predictive value of NLR was assessed with the receiver operating characteristic curve. NLR (odds ratio [OR] = 1.929, 95% confidence interval [CI] = 1.599-2.327, p < .001) was an independent risk factor for CSVD. NLR was also independently associated with moderate to severe white matter hyperintensity (WMH) (OR = 2.136, 95% CI = 1.768-2.580, p < .001), moderate to severe periventricular WMH (OR = 2.138, 95% CI = 1.771-2.579, p < .001), and moderate to severe deep WMH (OR = 1.654, 95% CI = 1.438-1.902, p < .001), moderately to severely enlarged perivascular spaces (EPVS) (OR = 1.248, 95% CI = 1.110-1.402, p < .001), moderately to severely EPVS in the basal ganglia (OR = 1.136, 95% CI = 1.012-1.275, p = .030), and moderately to severely EPVS in the centrum semiovale (OR = 1.140, 95% CI = 1.027-1.266, p = .014). However, NLR was not statistically significantly associated with lacune. The optimal cutoff point of NLR in predicting CSVD was 2.47, with sensitivity and specificity of 84.2% and 66.9%, respectively (p < .01). The diagnostic effect was maximized when NLR was combined with other risk factors. NLR is an independent risk factor for CSVD and is independently associated with common imaging markers of CSVD. NLR may serve as a valid and convenient biomarker for assessing CSVD.

Analysis of the Relationship between Recent Small Subcortical Infarcts and Autonomic Nervous Dysfunction.

Autonomic Nervous System (ANS) dysfunction may be involved in the pathogenesis of Cerebral Small Vessel Disease (CSVD). The study aimed to explore the relationship between Recent Small Subcortical Infarct (RSSI) and Blood Pressure Variability (BPV), and Heart Rate Variability (HRV). A total of 588 patients from the CSVD registration research database of Henan Province were included in this study, and were divided into two groups according to the presence of RSSI. Clinical data, including demographic characteristics, disease history, laboratory indexes, 24-hour ambulatory blood pressure and electrocardiogram indicators, and imaging markers of CSVD, were collected. Univariate and binary logistic regression analyses were used to study the relationship between RSSI and indicators of laboratory, HRV and BPV in the CSVD population. Multivariate analysis showed that higher 24-hour mean Diastolic Blood Pressure (DBP)[Odds Ratios (OR)=1.083,95% Confidence Intervals (CI)=(1.038,1.129), p < 0.001], Standard Deviation (SD) of 24-hour DBP [OR=1.059,95%CI=(1.000,1.121), p = 0.049], nocturnal mean Systolic Blood Pressure (SBP) [OR=1.020,95%CI=(1.004,1.035), p = 0.012], nocturnal mean DBP [OR=1.025,95%CI=(1.009,1.040), p = 0.002] were independent risk factors for RSSI. In contrast, the decrease of the standard deviation of N-N intervals (SDNN) [OR=0.994,95%CI=(0.989,1.000), p = 0.035] was beneficial to the occurrence of RSSI. In addition, neutrophil counts [OR=1.138,95%CI=(1.030,1.258), p = 0.011], total cholesterol (TC) [OR=1.203,95%CI=(1.008,1.437), p = 0.041] and High-Density Lipoprotein (HDL) [OR=0.391, 95%CI=(0.195,0.786), p = 0.008] were also independently associated with the occurrence of RSSI. After adjusting for confounding factors, except for TC, the other factors remained associated with the occurrence of RSSI. Increased 24-hour mean DBP, nocturnal mean SBP and DBP, SD of 24-hour DBP and decreased SDNN were independently correlated with RSSI occurrence, suggesting that sympathetic overactivity plays a role in the pathogenesis of RSSI.

Correlations of Plasma Biomarkers and Imaging Characteristics of Cerebral Small Vessel Disease.

Cerebral small vessel disease (CSVD), which is a group of pathological processes affecting cerebral microvessels, leads to functional loss in the elderly population and mostly presents as cognitive impairment and gait decline. CSVD is diagnosed based on brain imaging biomarkers, but blood biomarkers are of great significance for the early diagnosis and progression prediction of CSVD and have become a research focus because of their noninvasiveness and easy accessibility. Notably, many blood biomarkers have been reported to be associated with CSVD in a relatively large population, particularly serum neurofilament light chain (NfL), which has been regarded as a promising biomarker to track the variation trend in WMH and to predict the further status of white matter hyperintensities (WMH) and lacunar infarcts. And neuro-glio-vascular unit structure and blood-brain barrier function have been proposed as underlying mechanisms of CSVD. The article starts from the neuroimaging markers of CSVD, including recent small subcortical infarcts (RSSI), white matter hyperintensities (WMH), lacunes, cerebral microbleeds (CMB), enlarged perivascular spaces (EPVS), cerebral atrophy, and the combined small vessel disease score, and attempts to systematically review and summarize the research progress regarding the blood biomarkers of CSVD that form the changes in the neuro-glio-vascular unit structure and blood-brain barrier function.

Abstract WMP22: Higher Burden of Cerebral Small Vessel Disease is Associated With Risk of Incident Stroke in Community-Dwelling Individuals

Background: Mild manifestations of individual cerebral small vessel disease (CSVD) markers are common and may not denote increased risk, but high CSVD burden identifies individuals at increased risk of stroke and dementia. Scores incorporating multiple CSVD markers may better identify a person’s risk, but it remains unclear if they offer benefit beyond tools based on clinical factors alone such as the revised Framingham Stroke Risk Profile (FSRP). Therefore, we related a multi-marker CSVD score to risk of incident stroke and compared the findings with the FSRP in community-dwelling individuals. Methods: Framingham Heart Study (FHS) participants aged ≥55 years, free of stroke and dementia and with brain magnetic resonance imaging (MRI) ratings of CSVD markers were included. A multi-marker CSVD score reflecting increasing CSVD burden was used (one point each for presence of cerebral microbleeds, severe perivascular spaces, extensive white matter hyperintensities, covert brain infarcts, and cortical superficial siderosis, ranging 0-5). Multivariable Cox proportional hazards regression analyses were used to relate CSVD score to incident stroke. Results: Among 1,154 participants (46% male, mean age 70.9±8.7), 590 (51%) had score 0, 352 (31%) had score 1, 164 (14%) had score 2, and 48 (4%) had score ≥ 3. Over a median follow-up of 8.2 years (Q1-Q3: 5.1-12.5) from the time of MRI, 92 (8%) developed stroke. In models adjusting for time interval between clinic exam and MRI, FHS cohort, and FSRP score, number of CSVD manifestations was associated with increased risk of stroke in a dose-dependent manner: score 1 (HR: 1.73; 95% CI 1.05-2.84), score 2 (HR 1.83; 95% CI: 1.01-3.30), and score ≥ 3 (HR: 3.31; 95% CI: 1.50-7.28) in relation to participants with no CSVD markers. In comparison, a 5-percent increase in FSRP alone was associated with increased risk of stroke (HR: 1.25; 95% CI 1.15-1.36). Interpretation: Higher CSVD burden is associated with increased risk of stroke, beyond the effect explained by risk factors in the FSRP. These findings support consideration of CSVD burden to identify risk of stroke in community-dwelling individuals.

Abstract TP15: Association Between Prevalent Cardiovascular Disease Plus Atrial Fibrillation and Global Cerebral Small Vessel Disease- The Framingham Heart Study

Background: Cardiovascular diseases (CVD) contribute to stroke and dementia, which can be due to cerebral small vessel disease (CSVD) detectable on brain MRI. Aim: To determine the association between prevalent CVD and atrial fibrillation (AF) with CSVD. Methods: We assessed a composite of CVD including coronary heart disease, intermittent claudication, congestive heart failure (CHF) and AF, as well as the individual components. A multi-marker CSVD score was used to reflect increasing CSVD burden (cerebral microbleeds, high burden perivascular spaces, extensive white matter hyperintensity, or covert brain infarcts were assigned 1 point each, range 0-4). We related prevalent CVD or the individual components to the CSVD score using logistic regression analyses adjusted for age, sex, FHS cohort, time between MRI-clinic exam (model-1), and vascular risk factors (model-2). Results: In 3413 participants (mean age 59±14 years, 46.6% males), 8.4% had prevalent CVD, 4.1% had AF and 10.9% had both. One CSVD marker was seen in 22.7% participants, two in 7.1% and ≥3 in 1.82%. In multivariable-adjusted analyses prevalent CVD was associated with presence of one CSVD marker (OR 1.40, 95% confidence interval [CI] 1.07-1.84). The association with 2 or ≥3 markers did not reach statistical significance. The strongest association with subtype of CVD was between CHF and ≥3 CSVD markers (OR 5.67, 95% CI 1.90-16.9). Stratified analyses in subgroups by hypertension status, APOE- ε4 presence, and age &lt; 65 years were limited by smaller number of events, with no significant differences. Interpretation: Prevalent CVD (including AF) is associated with presence of CSVD in community dwelling middle-aged adults free of stroke and dementia, with stronger associations with CHF.

Abstract WMP16: Multi-Marker Cerebral Small Vessel Disease Score and Risk of Incident Dementia in the Framingham Heart Study

Background: Individual magnetic resonance imaging (MRI) markers of cerebral small vessel disease (CSVD) are associated with impaired cognition and dementia but may not reflect the overall burden of CSVD. It is unclear whether these markers provide additional value in evaluating the risk of dementia beyond assessments based solely on clinical risk factors. Thus, we aimed to determine whether the association of additive burden of multiple CSVD markers was independent of vascular risk factors and the Framingham Stroke Risk Profile (FSRP) and to also compare results with the FSRP. Methods: We included 1,152 Framingham Heart Study (FHS) participants over the age of 55, free of stroke and dementia, from the Original and Offspring cohorts with available MRI and FSRP data. CSVD score was calculated by summing the number of CSVD features detected in the MRI: cerebral microbleeds, cerebral brain infarcts, extensive white matter hyperintensities, severe perivascular spaces, and cortical superficial siderosis. Two Cox proportional hazards regression models were used to relate the multi-marker CSVD score to incident all-cause dementia and Alzheimer’s dementia. The first model adjusted for education, cohort, and clinical risk factors while the second adjusted for education, cohort, and FSRP. Results: Mean age was 70.9 years (SD: 8.7), 527 (46%) were male, and 211 (18%) had score ≥ 2. Over a median follow-up time of 6.4 years (Q1-Q3: 4.6-11.3), participants with score ≥ 2 had elevated risk of all-cause dementia compared to those with no CSVD markers after adjustment for FSRP (HR: 2.32; 95% CI: 1.46-3.69; p&lt;0.001) and vascular risk factors (HR: 1.76; 95% CI: 1.10-2.81; p=0.02). Score ≥ 2 was also significantly associated with AD after adjustment for FSRP (HR: 2.05; 95% CI: 1.19-3.62; p&lt;0.01), but not vascular risk factors (HR: 1.50; 95% CI: 0.87-2.60; p=0.15). In addition, a 5-percent increase in FSRP was independently associated with incident dementia after adjustment for education and FHS cohort (HR: 1.21; 95% CI: 1.13-1.30; p&lt;0.001). Conclusions: Our results support the use of CSVD score as an indicator for dementia risk and it may be as robust as the FSRP. Further studies are necessary to validate the use of CSVD score in quantifying dementia risk.

Abstract TP221: Progression of Intracranial Artery Stenosis and Cerebral Small Vessel Disease and Associations Between the Two Entities: A Prospective Community-Based Cohort Study

Background: Both intracranial artery stenosis (ICAS) and cerebral small vessel disease (CSVD) can cause heavy socioeconomic burdens. However, their longitudinal changes remain controversial. To investigate the risk factors for ICAS and CSVD progression and their associations in a community population. Methods: This longitudinal analysis included 756 participants who underwent both baseline and follow-up brain magnetic resonance imaging (MRI) and magnetic resonance angiography from Shunyi cohort. The follow-up duration was 5.58±0.49 years. Incident ICAS was defined as new stenosis occurring in at least one artery or increased severity of the original artery stenosis. CSVD markers included lacunes, cerebral microbleeds (CMB), and white matter hyperintensities (WMH). Results: Of the 756 participants (aged 53.7±8.0 years, 34.9% men), 8.5% had incident ICAS. Body mass index (BMI) and diabetes mellitus are independent risk factors for ICAS. Hypertension is an independent risk factor for incident lacunes and CMB, whereas WMH progression is primarily affected by BMI. Higher LDL cholesterol level independently protects against WMH progression. Baseline ICAS burden predicted an increased risk of incident lacunes (odds ratio [OR] = 2.17, 95% confidence interval [CI] = 1.10-4.29, p = 0.025) after adjusting for age, sex, follow-up time, vascular risk factors, and baseline lacunes burden. Incident ICAS was also significantly associated with incident lacunes (OR = 3.29, 95% CI = 1.61-6.72, p = 0.001). No significant correlation was identified between ICAS and CMB or WMH. Conclusions: Patients with ICAS and CSVD progression had different modifiable risk factor profiles. The disparate association between ICAS and progressions of different MRI markers of CSVD imply vital differences of their underline mechanism.

Abstract TP39: Multi-Marker Cerebral Small Vessel Disease Score and Risk of Incident Depression: The Framingham Heart Study

Introduction: The vascular depression hypothesis postulates that cerebral small vessel disease (CSVD) contributes to the development of depression. A multi-marker CSVD score based on brain magnetic resonance imaging (MRI) could serve as a valuable tool for predicting the risk of developing vascular depression. This is important as depression can mimic cognitive impairment, dementia and is treatable. This study aimed to determine the relation of a MRI multi-marker CSVD score with incident depression in community-dwelling individuals. Methods: Framingham Heart Study participants from the Original and Offspring cohorts free of stroke, dementia and depression with available data on depression and CSVD ratings on MRI were included. Depression was defined as Center for Epidemiological Studies Depression scale score ≥16 or use of antidepressant medication. The multi-marker CSVD score was calculated by summing 1 point for individual CSVD markers present (covert brain infarcts, cerebral microbleeds, extensive white matter hyperintensities, high burden perivascular spaces, cortical superficial siderosis), ranging 0-5. Multivariable logistic regression models were used to relate the MRI-multi-marker CSVD score and incident depression in a primary analysis and individual CSVD biomarkers and depression in an exploratory analysis. Models were adjusted for age, sex, FHS cohort, time interval between MRI and clinic exam, body mass index, smoking, prevalent hypertension and diabetes. Results: In 1768 participants included (mean age 54.4±12.4 years, 54% male), the incidence of depression was 11% (median follow-up 6.0 years, IQR: 5.3-6.7). No CSVD score group had a statistically significant association with incident depression, however a CSVD score 3+ showed a trend towards increased odds of developing incident depression (OR 2.65 [0.87, 8.06], p =0.09). Among the individual CSVD markers, visible perivascular spaces had the highest odds for incident depression (OR 1.55 [0.96, 2.51] p =0.07). Conclusion: A higher multi-marker CSVD score might be associated with increased odds of incident depression. Further studies with a larger sample may help elucidate a potential association between this CSVD burden and onset of depression.

Association of Mean Upper Cervical Spinal Cord Cross-Sectional Area With Cerebral Small Vessel Disease: A Community-Based Cohort Study.

The purpose of this study was to investigate the association between the mean upper cervical spinal cord cross-sectional area (MUCCA) and the risk and severity of cerebral small vessel disease (CSVD). Community-dwelling residents in Lishui City, China, from the cross-sectional survey in the PRECISE cohort study (Polyvascular Evaluation for Cognitive Impairment and Vascular Events) conducted from 2017 to 2019. We included 1644 of 3067 community-dwelling adults in the PRECISE study after excluding those with incorrect, incomplete, insufficient, or missing clinical or imaging data. Total and modified total CSVD scores, as well as magnetic resonance imaging features, including white matter hyperintensity, lacunes, cerebral microbleeds, enlarged perivascular spaces, and brain atrophy, were assessed at the baseline. The Spinal Cord Toolbox was used to measure the upper cervical spinal cord cross-sectional area of the C1 to C3 segments of the spinal cord and its average value was taken as MUCCA. Participants were divided into 4 groups according to quartiles of MUCCA. Associations were analyzed using linear regression models adjusted for age, sex, current smoking and drinking, medical history, intracranial volume, and total cortical volume. The means±SD age of the participants was 61.4±6.5 years, and 635 of 1644 participants (38.6%) were men. The MUCCA was smaller in patients with CSVD than those without CSVD. Using the total CSVD score as a criterion, the MUCCA was 61.78±6.12 cm2 in 504 of 1644 participants with CSVD and 62.74±5.94 cm2 in 1140 of 1644 participants without CSVD. Using the modified total CSVD score, the MUCCA was 61.81±6.04 cm2 in 699 of 1644 participants with CSVD and 62.91±5.94 cm2 in 945 of 1644 without CSVD. There were statistical differences between the 2 groups after adjusting for covariates in 3 models. The MUCCA was negatively associated with the total and modified total CSVD scores (adjusted β value, -0.009 [95% CI, -0.01 to -0.003] and -0.007 [95% CI, -0.01 to -0.0006]) after adjustment for covariates. Furthermore, the MUCCA was negatively associated with the white matter hyperintensity burden (adjusted β value, -0.01 [95% CI, -0.02 to -0.003]), enlarged perivascular spaces in the basal ganglia (adjusted β value, -0.005 [95% CI, -0.009 to -0.001]), lacunes (adjusted β value, -0.004 [95% CI, -0.007 to -0.0007]), and brain atrophy (adjusted β value, -0.009 [95% CI, -0.01 to -0.004]). The MUCCA and CSVD were correlated. Spinal cord atrophy may serve as an imaging marker for CSVD; thus, small vessel disease may involve the spinal cord in addition to being intracranial.

The association between alpha diversity of gut microbiota, neuroimaging markers and cognitive function in cerebral small vessel disease

There is increasing recognition of gut microbial dysbiosis in cerebral small vessel disease (CSVD). The altered diversity in a single ecosystem - alpha diversity index of gut microbiota has attracted wide attention. Our study aims to determine whether the alpha diversity index differs among healthy control (HC), CSVD with and without cognitive impairment. Moreover, we investigate the correlation between the alpha diversity index, neuroimaging markers, and cognitive function. We recruited 40 HC, 43 CSVD patients without cognitive impairment (CSVD-NCI), and 35 CSVD patients with mild cognitive impairment (CSVD-MCI). Clinical and neuropsychological assessments, MRI scanning, and gut microbiota analysis were performed on all participants. The alpha diversity indexes Chao1 and Shannon were calculated to evaluate community richness and diversity in a sample, respectively. Individual neuroimaging markers of CSVD and the CSVD burden score were also evaluated. A significantly lower level of Chao 1 rather than the Shannon index was observed in the CSVD subgroups than in the HC group. The level of the Chao 1 index was negatively correlated with both CMB counts, a neuroimaging characteristic of CSVD, and CSVD burden score in patients with CSVD. Additionally, the Chao 1 index has been associated with general cognitive function, information processing speed, and language function in patients with CSVD. Remarkably, the increased CSVD burden score mediated the effects of decreased levels of Chao 1 on information processing speed and language function. Hence, the alterations in species richness may be associated with CSVD-related cognitive impairment and mediated by CSVD neuroimaging markers.

Quantitative Analysis of Multimodal MRI Markers and Clinical Risk Factors for Cerebral Small Vessel Disease Based on Deep Learning.

Cerebral small vessel disease lacks specific clinical manifestations, and extraction of valuable features from multimodal images is expected to improve its diagnostic accuracy. In this study, we used deep learning techniques to segment cerebral small vessel disease imaging markers in multimodal magnetic resonance images and analyze them with clinical risk factors. We recruited 211 lacunar stroke patients and 83 control patients. The patients' cerebral small vessel disease markers were automatically segmented using a V-shaped bottleneck network, and the number and volume were calculated after manual correction. The segmentation results of the V-shaped bottleneck network for white matter hyperintensity and recent small subcortical infarction were in high agreement with the ground truth (DSC>0.90). In small lesion segmentation, cerebral microbleed (average recall=0.778; average precision=0.758) and perivascular spaces (average recall=0.953; average precision=0.923) were superior to lacunar infarct (average recall=0.339; average precision=0.432) in recall and precision. Binary logistic regression analysis showed that age, systolic blood pressure, and total cerebral small vessel disease load score were independent risk factors for lacunar stroke (P<0.05). Ordered logistic regression analysis showed age was positively correlated with cerebral small vessel disease load score and total cholesterol was negatively correlated with cerebral small vessel disease score (P<0.05). Lacunar stroke patients exhibited higher cerebral small vessel disease imaging markers, and age, systolic blood pressure, and total cerebral small vessel disease score were independent risk factors for lacunar stroke patients. V-shaped bottleneck network segmentation network based on multimodal deep learning can segment and quantify various cerebral small vessel disease lesions to some extent.

Vascular contribution to the preclinical Alzheimer’s disease pathological changes: Insights from the EPAD cohort

AbstractBackgroundThe role of cardiovascular risk factors and cerebral small vessel disease (CSVD) on the sequences of Alzheimer’s Disease (AD) pathological events remains to be determined.MethodWe included 1592 non‐demented participants from EPAD‐LCS (Table‐1). Linear models were used to study associations between the Framingham score (FRS) and CSF‐Aß1‐42; CSVD indices (visual assessment for perivascular spaces [PVS] in the basal ganglia [BG] and centrum‐semiovale [CS], periventricular and deep white matter hyperintensities [WMHs], presence of lobar or deep cerebral microbleeds [CMBs], and lacunes, and quantification of global and lobar WMH volumes) and Aß1‐42 and p‐Tau181, including an interaction between CSVD indices and Aß1‐42 for the latter. Hippocampal volumes (HCV) were quantified using LEAP. Structural equation models (SEM) were used to assess the association between clinical variables as described in Figure‐1. Models were corrected for age, sex, site and multiple comparisons.ResultHigher FRS scores were associated with lower CSF Aß1‐42 (ß = ‐0.18; p&lt;0.001) and higher P‐tau181 (ß = 0.21; p&lt;0.001). Aß1‐42 was negatively associated with all CSVD markers (all p&lt;0.001; Figure‐2). We found stronger association between Aß1‐42 and P‐tau181 in participants with higher Fazekas deep and periventricular (p‐interaction&lt;0.005) scores, and higher regional WMH (all p‐interactions&lt;0.005) volumes. Using SEM, the CSVD‐burden latent factor fully mediated the association between FRS and Aß1‐42 (indirect effect: ß = ‐0.03; p&lt;0.001). Aß1‐42 did not significantly predict the CSVD‐burden latent factor. We observed a significant direct effect of Aß1‐42 on P‐tau181 levels (ß = ‐0.14; p&lt;0.001) and HCV (ß = 0.06; p&lt;0.05), and of P‐tau181 levels onto HCV (ß = ‐0.05; p&lt;0.05). A significant indirect, but not direct, effect of the latent factor on both P‐tau181 (indirect effect: ß = 0.36; p &lt; 0.05) and HCV (indirect effect: ß = ‐0.24; p &lt; 0.05) through Aß1‐42 was observed.ConclusionExpression of cerebrovascular pathology fully mediates the effects of vascular risk factors on amyloid and accelerates manifestation of downstream biomarkers in the preclinical phases of AD, stressing the importance of vascular‐protective treatments.

Vascular contribution to the preclinical Alzheimer’s disease pathological changes: Insights from the EPAD cohort

AbstractBackgroundThe role of cardiovascular risk factors and cerebral small vessel disease (CSVD) on the sequences of Alzheimer’s Disease (AD) pathological events remains to be determined.MethodWe included 1592 non‐demented participants from EPAD‐LCS (Table‐1). Linear models were used to study associations between the Framingham score (FRS) and CSF‐Aβ1‐42; CSVD indices (visual assessment for perivascular spaces [PVS] in the basal ganglia [BG] and centrum‐semiovale [CS], periventricular and deep white matter hyperintensities [WMHs], presence of lobar or deep cerebral microbleeds [CMBs], and lacunes, and quantification of global and lobar WMH volumes) and Aβ1‐42 and p‐Tau181, including an interaction between CSVD indices and Aβ1‐42 for the latter. Hippocampal volumes (HCV) were quantified using LEAP. Structural equation models (SEM) were used to assess the association between clinical variables as described in Figure‐1. Models were corrected for age, sex, site and multiple comparisons.ResultHigher FRS scores were associated with lower CSF Aβ1‐42 (β = ‐0.18; p&lt;0.001) and higher P‐tau181 (β = 0.21; p&lt;0.001). Aβ1‐42 was negatively associated with all CSVD markers (all p&lt;0.001; Figure‐2).We found stronger association between Aβ1‐42 and P‐tau181 in participants with higher Fazekas deep and periventricular (p‐interaction&lt;0.005) scores, and higher regional WMH (all p‐interactions&lt;0.005) volumes.Using SEM, the CSVD‐burden latent factor fully mediated the association between FRS and Aβ1‐42 (indirect effect: β = ‐0.03; p&lt;0.001). Aβ1‐42 did not significantly predict the CSVD‐burden latent factor. We observed a significant direct effect of Aβ1‐42 on P‐tau181 levels (β = ‐0.14; p&lt;0.001) and HCV (β = 0.06; p&lt;0.05), and of P‐tau181 levels onto HCV (β = ‐0.05; p&lt;0.05). A significant indirect, but not direct, effect of the latent factor on both P‐tau181 (indirect effect: β = 0.36; p &lt; 0.05) and HCV (indirect effect: β = ‐0.24; p &lt; 0.05) through Aβ1‐42 was observed.ConclusionExpression of cerebrovascular pathology fully mediates the effects of vascular risk factors on amyloid and accelerates manifestation of downstream biomarkers in the preclinical phases of AD, stressing the importance of vascular‐protective treatments.

Mechanistic Evaluation of Diffusion Weighted Hyperintense Lesions After Large Spontaneous Intracerebral Hemorrhage: A Subgroup Analysis of MISTIE III.

Ischemic lesions on diffusion weighted imaging (DWI) are common after acute spontaneous intracerebral hemorrhage (ICH) but are poorly understood for large ICH volumes (> 30mL). We hypothesized that large blood pressure drops and effect modification by cerebral small vessel disease markers on magnetic resonance imaging (MRI) are associated with DWI lesions. This was an exploratory analysis of participants in the Minimally Invasive Surgery Plus Alteplase for Intracerebral Hemorrhage Evacuation phase 3 trial with protocolized brain MRI scans within 7days from ICH. Multivariable logistic regression analysis was performed to assess biologically relevant factors associated with DWI lesions, and relationships between DWI lesions and favorable ICH outcomes (modified Rankin Scale 0-3). Of 499 enrolled patients, 300 had MRI at median 7.5days (interquartile range 7-8), and 178 (59%) had DWI lesions. The incidence of DWI lesions was higher in patients with systolic blood pressure (SBP) reduction ≥ 80mm Hg in first 24h (76%). In adjusted models, factors associated with DWI lesions were as follows: admission intraventricular hematoma volume (p = 0.03), decrease in SBP ≥ 80mm Hg from admission to day 1 (p = 0.03), and moderate-to-severe white matter disease (p = 0.01). Patients with DWI lesions had higher odds of severe disability at 1month (p = 0.04), 6months (p = 0.036), and 12months (p < 0.01). No evidence of effect modification by cerebral small vessel disease on blood pressure was found. In patients with large hypertensive ICH, white matter disease, intraventricular hemorrhage volume, and large reductions in SBP over the first 24h were independently associated with DWI lesions. Further investigation of potential hemodynamic mechanisms of ischemic injury after large ICH is warranted.

Relationships between intracranial arterial dolichoectasia and small vessel disease in patients with ischaemic stroke: a systematic review and meta-analysis.

Intracranial arterial dolichoectasia (IADE) is a common arterial finding of dilation, elongation, or both, affecting large intracranial vessels, and associated with vascular risk factors, including hypertension. Associations of IADE with neuroimaging cerebral small vessel disease (CSVD) may be relevant for diagnosis and prognosis in patients with stroke. The study aimed to conduct an updated systematic review and meta-analysis of observational studies to investigate the relationships of IADE with well-defined CSVD markers in patients with ischaemic stroke. We systematically searched PubMed, Embase, and Scopus for studies on IADE in ischaemic stroke patients with fulfilling predefined inclusion criteria. We pooled data to conduct a meta-analysis to compare the prevalence of SVD markers between patients with and without IADE groups using risk ratios (RRs) and 95% confidence intervals (CIs). From 157 retrieved abstracts, we included six studies from seven publications comprising 6102 patients with ischaemic stroke. The mean age of patients was 52.8years, and 3691 (60.5%) were male. IADE was diagnosed in 11.4% (95% CI 8.9-13.9) (761) of included patients; 51.8% (3160) had hypertension. Compared to patients without IADE, individuals diagnosed with IADE had a significantly increased prevalence of lacune (RR 1.67, 95% CI 1.36-2.06, P < 0.01, I2 = 0.00%), cerebral microbleeds (CMBs) (RR 2.56, 95% CI 1.53-4.28, P < 0.01, I2 = 84.95%) and white matter hyperintensities (WMHs) (RR 2.17, 95% CI 1.84-2.56, P < 0.01, I2 = 0.00%). In patients with ischaemic stroke, IADE is associated with a higher prevalence of CSVD markers, including lacunes, CMBs, and WMHs. Further studies are needed to clarify the mechanisms underlying these associations and their potential relevance for the understanding, diagnosis, and treatment of CSVD.