Severe Cerebral Small Vessel Disease Research Articles

Higher Long-Term Visit-to-Visit Blood Pressure Variability Is Associated With Severe Cerebral Small Vessel Disease in the General Population.

Long-term visit-to-visit blood pressure (BP) variability is linked to various diseases, but its impact on cerebral small vessel disease (cSVD) burden, and its features remains uncertain. We analyzed 1284 participants from the Kailuan cohort (2006-2022). Visit-to-visit systolic BP (SBP), diastolic BP (DBP), and pulse pressure (PP) variability were categorized into tertiles (low, middle, high). Magnetic resonance imaging identified white matter hyperintensities (WMH), lacunae of presumed vascular origin (LA), cerebral microbleeds (CMBs), and visible perivascular spaces (PVS). Total cSVD burden was classified as none (0), mild (1), moderate (2), or severe (3-4) based on the presence of these features. Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs). High SBP variability was associated with moderate cSVD burden (OR = 1.89, 95% CI: 1.09-3.29) and PVS (OR = 1.62, 95% CI: 1.10-2.39). High DBP variability was associated with LA (OR = 1.74, 95% CI: 1.06-2.84). High PP variability showed a significant risk for severe cSVD burden (OR = 2.49, 95% CI: 1.34-4.63). These associations were modified by age and hypertension status. Among young adults (age < 60 years), high PP variability was associated with severe cSVD burden (OR = 3.33, 95% CI: 1.31-8.44), LA (OR = 3.02, 95% CI: 1.31-6.93), and PVS (OR = 1.86, 95% CI: 1.20-2.88). The risk effects of SBP and PP variability on cSVD burden were significant only in participants with hypertension. High long-term visit-to-visit BP variability (BPV), particularly in combination with hypertension, is a significant risk factor for total cSVD. Special attention should be given to PP variability in younger adults.

More severe cerebral small vessel disease associated with poor leptomeningeal collaterals in symptomatic intracranial atherosclerotic stenosis.

We investigated the association between cerebral small vessel disease (CSVD) and ipsilateral leptomeningeal collateral (LMC) status in patients with symptomatic intracranial atherosclerotic stenosis (sICAS). In 108 patients with 50-99% symptomatic intracranial internal carotid artery or M1 middle cerebral artery stenosis, 4 CSVD imaging markers (lacunes, cerebral microbleeds, enlarged perivascular spaces [EPVSs], and white matter hyperintensities [WMHs]) were assessed in MRI. Score of 0 or 1 was assigned to each marker and added up as a summary CSVD score (ranging 0-4) to reflect an overall CSVD burden. Ipsilateral LMC status was assessed by determining the laterality of distal vessels in anterior and posterior cerebral artery territories on CT angiography. Moderate-to-severe EPVSs (adjusted odds ratio [aOR] = 4.15; p = 0.031) and WMHs (aOR = 5.90; p = 0.010), and higher summary CSVD score (aOR = 1.66; p = 0.030) were independently associated with poor LMCs. There was significant interaction between stenosis percentage in sICAS and summary CSVD score on poor LMCs (p = 0.022 for interaction), when higher CSVD score was significantly associated with poor LMCs in patients with severe sICAS (aOR = 2.84; p = 0.011) but not in those with moderate sICAS. The findings indicated possibly adverse effect of CSVD on the recruitment or development of LMCs in sICAS patients, especially in patients with severe sICAS.

Intracranial Aneurysms and Cerebral Small Vessel Disease: Is There an Association between Large- and Small-Artery Diseases?

Background/Objectives: Intracranial aneurysms (IAs) may be connected to interactions between large and small intracranial vessels. We aimed to investigate the association between IAs and cerebral small-vessel disease (CSVD) and assess CSVD impact on IA patient management. Methods: This retrospective study analyzed clinical data and MRI features of CSVD in 192 subarachnoid hemorrhage (SAH) patients: 136 with incidental IA, 147 with severe CSVD without SAH/IA, and 50 controls without SAH, IA, or severe CSVD. MRI assessments followed the Standards for Reporting Vascular Changes on Neuroimaging (STRIVE), with a total burden of small-vessel disease (TBSVD) score calculated. Statistical analyses included forward selection and binary logistic regression. Results: TBSVD differed significantly across groups (p < 0.001), except between SAH and IA groups (p = 0.8). Controls had the lowest TBSVD (1.00; 1.22 ± 0.996), followed by SAH (2.00; 2.08 ± 1.013) and IA groups (2.00; 2.04 ± 1.141), with the highest in the CSVD group (1.00; 1.22 ± 0.996). White-matter hyperintensity (WMH) patterns varied with IA rupture status (p = 0.044); type A was prevalent in SAH patients and type D in the IA group. Incorporating MRI CSVD features and TBSVD into risk assessments did not enhance IA prediction or outcome models. Conclusions: IA patients exhibit a higher CSVD burden than controls, suggesting a link between small and large intracranial vessels. WMH patterns distinguish between ruptured and unruptured IA patients, offering potential markers for IA rupture risk assessment and signaling a paradigm shift in understanding IAs and CSVD.

Aberrant brain structural-functional connectivity coupling associated with cognitive dysfunction in different cerebral small vessel disease burdens.

Emerging evidence suggests that cerebral small vessel disease (CSVD) pathology changes brain structural connectivity (SC) and functional connectivity (FC) networks. Although network-level SC and FC are closely coupled in the healthy population, how SC-FC coupling correlates with neurocognitive outcomes in patients with different CSVD burdens remains largely unknown. Using multimodal MRI, we reconstructed whole-brain SC and FC networks for 54 patients with severe CSVD burden (CSVD-s), 106 patients with mild CSVD burden (CSVD-m), and 79 healthy controls. We then investigated the aberrant SC-FC coupling and functional network topology in CSVD and their correlations with cognitive dysfunction. Compared with controls, the CSVD-m patients showed no significant change in any SC-FC coupling, but the CSVD-s patients exhibited significantly decreased whole-brain (p = 0.014), auditory/motor (p = 0.033), and limbic modular (p = 0.011) SC-FC coupling. For functional network topology, despite no change in global efficiency, CSVD-s patients exhibited significantly reduced nodal efficiency of the bilateral amygdala (p = 0.024 and 0.035) and heschl gyrus (p = 0.001 and 0.005). Notably, for the CSVD-s patients, whole-brain SC-FC coupling showed a significantly positive correlation with MoCA (r = 0.327, p = 0.020) and SDMT (r = 0.373, p = 0.008) scores, limbic/subcortical modular SC-FC coupling showed a negative correlation (r = -0.316, p = 0.025) with SCWT score, and global/local efficiency (r = 0.367, p = 0.009 and r = 0.353, p = 0.012) showed a positive correlation with AVLT score. For the CSVD-m group, whole-brain and auditory/motor modular SC-FC couplings showed significantly positive correlations with SCWT (r = 0.217, p = 0.028 and r = 0.219, p = 0.027) and TMT (r = 0.324, p = 0.001 and r = 0.245, p = 0.013) scores, and global/local efficiency showed positive correlations with AVLT (r = 0.230, p = 0.020 and r = 0.248, p = 0.012) and SDMT (r = 0.263, p = 0.008 and r = 0.263, p = 0.007) scores. Our findings demonstrated that decreased whole-brain and module-dependent SC-FC coupling associated with reduced functional efficiency might underlie more severe burden and worse cognitive decline in CSVD. SC-FC coupling might serve as a more sensitive neuroimaging biomarker of CSVD burden and provided new insights into the pathophysiologic mechanisms of clinical development of CSVD.

Blood-brain barrier-associated biomarker correlated with cerebral small vessel disease and shunt outcome in normal pressure hydrocephalus: a prospective cohort study.

Blood-brain barrier (BBB) breakdown is associated with neurodegeneration and cognitive impairment. Cerebral small vessel disease (CSVD) is also common in idiopathic normal pressure hydrocephalus (iNPH). Biomarkers in the cerebrospinal fluid (CSF) may reflect the severity of neuropathological damage and indicate a relationship between BBB integrity and iNPH and its surgical outcome. We investigated the association of CSVD and comorbidity-related CSF biomarkers with shunt outcomes in iNPH. This prospective cohort study recruited 53 patients with iNPH, who were subgrouped by CSVD severity. CSF proteins were analyzed, including soluble platelet-derived growth factor receptor-β (sPDGFR-β), Alzheimer's disease biomarkers, neurofilament light chain (NfL), and triggering receptor expressed on myeloid cells 2 (Trem2). We assessed symptom improvement, investigated its association with biomarkes levels, calculated protein cutoffs for surgical outcomes using receiver operating characteristic (ROC) curves, and compared model predictions using different proteins using hierarchical regression analysis. Among patients with iNPH, 74% had comorbid CSVD. Patients with severe CSVD exhibited significantly higher sPDGFR-β levels (P=0.019) and better postoperative performance (β=0.332, t=2.174, P=0.039; r=0.573, P=0.001). Analysis of the predictive potential of the biomarkers showed that sPDGFR-β was predictive of surgical outcomes (area under curve=0.82, sensitivity=66.8%, specificity=94.7%). A Comparison of the models revealed a greater effect of sPDGFR-β (Adjusted R2=0.247, ∆R2=0.160, ∆F(1, 37)=8.238, P=0.007) on cognitive improvement. This study highlighted the relevance of CSF biomarkers in assessing CSVD severity and predicting iNPH surgical outcome. CSF shunt surgery may provide an alternative treatment for neurodegenerative diseases with BBB breakdown and dysfunctional CSF clearance.

Modified Magnetic Resonance Imaging Burden of Cerebral Small Vessel Disease and Related Risk Factors in Patients With Thalassemia.

This study aimed to explore the burden of magnetic resonance imaging (MRI) of cerebral small vessel disease (CSVD) in patients with thalassemia and related risk factors. The clinical data and MRI of patients with thalassemia were retrospectively analyzed, and non-thalassemia controls with matched sex and age were selected. The modified MRI burden of CSVD included recent small subcortical infarct, presumed vasogenic white matter hyperintensity, presumed vasogenic lacunae, perivascular space (PVS), and brain atrophy. This study included 110 patients in each of the thalassemia and control groups. There was no significant difference in sex, age, and common cerebrovascular disease risk factors between the 2 groups. The patients with thalassemia had a higher red blood cell count and lower content of hemoglobin. The PVS and modified MRI burden scores in the thalassemia group were higher than in the control group. With the increase in age, patients with thalassemia have a more severe CSVD burden. Patients with thalassemia have a heavier modified MRI burden of CSVD than non-thalassemia patients, particularly PVS, and aging is an important risk factor for CSVD changes.

Handwriting Movement Abnormalities in Older Adults with Silent Cerebral Small Vessel Disease-A Preliminary Study.

The features of cerebral small vessel disease (CSVD) range from occurrence of asymptomatic radiological markers to symptomatic characteristics that include cognitive deficits and gait decline. The aim of the present study was to examine whether handwriting movement is abnormal in older people with CSVD through handwriting and drawing tasks using digitized handwriting kinematic assessment technology. Older subjects (n = 60) were grouped according to Fazekas score, with 16 in the Severe CSVD group, 12 in the Non-severe group and 32 in the Healthy group. Kinematic data were recorded and analyzed during handwriting and drawing tasks: signature; writing of Chinese characters ("" and ""); and Archimedes' spiral drawing. The Severe CSVD group showed lower velocity and higher tortuosity during signature writing, lower velocity of stroke #4 of "" and vertical size of "" than did the Non-severe and Healthy groups. Both Severe CSVD and Non-severe CSVD subjects displayed higher average normalized jerk than did the Healthy group. Partial correlation analysis adjusting for age, gender, education, and mini-mental state evaluation (MMSE) showed that CSVD burden was positively associated with tortuosity of signature and average normalized jerk of Archimedes' spiral, and was negatively associated with velocity of strokes #3 and #4 of "", as well as vertical size of "". Older adults with CSVD showed abnormal handwriting movement. And the handwriting abnormalities captured by digitized handwriting analysis were correlated with CSVD severity in users of simplified Chinese characters.

Abstract TP166: White Matter Hyperintensity Burden Associated With Stroke Severity, Aphasia, and Motor Deficits During Intracerebral Hemorrhage Hospitalization

Introduction: Cerebral Small Vessel Disease (CSVD) is associated with cognitive disruptions after intracerebral hemorrhage (ICH), however evidence connecting CSVD to specific neurological deficits after ICH is limited. Methods: Electronic medical record data were retrieved for adult patients (&gt;18 years) with admission for primary non-traumatic ICH, available admission NIHSS scores, and CSVD assessment. CSVD burden was graded from 0-4, with 1 point assessed for: 1) deep Fazekas white matter hyperintensity (WMH) score of 2-3 or periventricular (PV) Fazekas score of 3; 2) cerebral microbleed presence; 3) lacune presence; 4) &gt; 20 basal ganglia perivascular spaces. Severe CSVD was assessed scores ≥ 3, and individual marker severity was assessed using the same criteria. The primary outcome was moderate-severe stroke (total NIHSS score ≥5). Secondary outcomes were severe motor deficit (motor score &gt;12), complete aphasia (language score = 3), and cortical deficit (any impairment in language, extinction, and gaze). Associations between CSVD and NIHSS were determined using multivariable logistic regression, adjusting for major clinical and demographic factors. Adjusted odds ratios (aOR) and 95% confidence interval (CI) are reported. Results: The cohort included 1024 patients (median age [interquartile range]: 71 [61-79], 53% male). Patients were 22% Hispanic and had a racial distribution of 61% White, 24% Black, 8% Asian, 7% other. The median NIHSS score was 4 [1-11]; 477 (47%) showed moderate-severe NIHSS scores and 262 (26%) showed severe CSVD. Severe PV WMH burden was independently associated with moderate-severe NIHSS score (vs non-severe; aOR, 95% CI: 1.55, [1.02-2.36]). Severe deep WMH burden (vs non-severe) was independently associated with aphasia (1.97, [1.02-3.81]), and motor deficit (3.95, [1.22-12.73]) (Figure 1). Conclusion: Severe WMH burdens increase odds of neurological deficit among patients with primary ICH.

The association of global vessel width with cognitive decline and cerebral small vessel disease burden in the KaiLuan study.

As the retinal microvasculature shares similarities with the cerebral microvasculature, numerous studies have shown that retinal vascular is associated with cognitive decline. In addition, several population-based studies have confirmed the association between retinal vascular and cerebral small vessel disease (CSVD) burden. However, the association of retinal vascular with CSVD burden as well as cognitive function has not been explored simultaneously. This study investigated the relations of retinal microvascular parameters (RMPs) with CSVD burden and cognitive function. We conducted a cross-sectional study of participants in the KaiLuan study. Data were collected from subjects aged ≥18 years old who could complete retinal photography and brain magnetic resonance imaging (MRI) between December 2020 to October 2021 in the Kailuan community of Tangshan. RMPs were evaluated using a deep learning system. The cognitive function was measured using the Montreal Cognitive Assessment (MoCA). We conducted logistic regression models, and mediation analysis to evaluate the associations of RMPs with CSVD burden and cognitive decline. Of the 905 subjects (mean age: 55.42±12.02 years, 54.5% female), 488 (53.9%) were classified with cognitive decline. The fractal dimension (FD) [odds ratio (OR), 0.098, 95% confidence interval (CI): 0.015-0.639, P=0.015] and global vein width (OR: 1.010, 95% CI: 1.005-1.015, P<0.001) were independent risk factors for cognitive decline after adjustment for potential confounding factors. The global artery width was significantly associated with severe CSVD burden (OR: 0.985, 95% CI: 0.974-0.997, P=0.013). The global vein width was sightly associated with severe CSVD burden (OR: 1.005, 95% CI: 1.000-1.010, P=0.050) after adjusting for potential confounders. The multivariable-adjusted odds ratios (95% CI) in highest tertile versus lowest tertile of global vein width were 1.290 (0.901-1.847) for cognitive decline and 1.546 (1.004-2.290) for severe CSVD burden, respectively. Moreover, CSVD burden played a partial mediating role in the association between global vein width and cognitive function (mediating effect 6.59%). RMPs are associated with cognitive decline and the development of CSVD. A proportion of the association between global vein width and cognitive decline may be attributed to the presence of CSVD burden.

Deep-Learning-Based MRI Microbleeds Detection for Cerebral Small Vessel Disease on Quantitative Susceptibility Mapping.

Cerebral microbleeds (CMB) are indicators of severe cerebral small vessel disease (CSVD) that can be identified through hemosiderin-sensitive sequences in MRI. Specifically, quantitative susceptibility mapping (QSM) and deep learning were applied to detect CMBs in MRI. To automatically detect CMB on QSM, we proposed a two-stage deep learning pipeline. Retrospective. A total number of 1843 CMBs from 393 patients (69 ± 12) with cerebral small vessel disease were included in this study. Seventy-eight subjects (70 ± 13) were used as external testing. 3 T/QSM. The proposed pipeline consisted of two stages. In stage I, 2.5D fast radial symmetry transform (FRST) algorithm along with a one-layer convolutional network was used to identify CMB candidate regions in QSM images. In stage II, the V-Net was utilized to reduce false positives. The V-Net was trained using CMB and non CMB labels, which allowed for high-level feature extraction and differentiation between CMBs and CMB mimics like vessels. The location of CMB was assessed according to the microbleeds anatomical rating scale (MARS) system. The sensitivity and positive predicative value (PPV) were reported to evaluate the performance of the model. The number of false positive per subject was presented. Our pipeline demonstrated high sensitivities of up to 94.9% at stage I and 93.5% at stage II. The overall sensitivity was 88.9%, and the false positive rate per subject was 2.87. With respect to MARS, sensitivities of above 85% were observed for nine different brain regions. We have presented a deep learning pipeline for detecting CMB in the CSVD cohort, along with a semi-automated MARS scoring system using the proposed method. Our results demonstrated the successful application of deep learning for CMB detection on QSM and outperformed previous handcrafted methods. 2 TECHNICAL EFFICACY: Stage 2.

Correlation between Carotid Blood Flow Velocity and Total Magnetic Resonance Imaging Burden of Cerebral Small Vessel Disease in Patients with Recent Small Subcortical Infarcts.

The common and internal carotid arteries are the upstream vessels of the small cerebral vessels. The relationship between hemodynamic changes in the significant cervical vessels and cerebral small vessel disease (CSVD) remains uncertain. This research sought to analyze the correlation between carotid blood flow velocity and the total magnetic resonance imaging (MRI) burden of CSVD in patients with recent small subcortical infarcts (RSSIs). Data were gathered from individuals diagnosed with RSSIs admitted to Changzhou Second People's Hospital between January 2022 and June 2023. Brain MRI was performed on every patient to determine the overall MRI burden of CSVD, along with carotid duplex ultrasound to evaluate carotid blood flow velocity and pulsatility index (PI) of the common carotid (CCA) and internal carotid (ICA) arteries. The association between carotid blood flow velocity and the total MRI load of CSVD was examined using univariate and multivariate analyses. For our investigation, 272 individuals with RSSIs were screened. 82 individuals had a moderate to severe load of CSVD, while 190 participants showed a mild burden. Patients with moderate to severe burden of CSVD had lower end-diastolic velocity (EDV) and higher PI in CCA and ICA than those with mild load (P < 0.001). After adjusting for variables like age, hypertension, systolic blood pressure, and blood homocysteine levels, multivariate logistic regression analysis showed that EDV in CCA (OR, 0.894; P = 0.011), PI in CCA (OR, 5.869; P = 0.017), EDV in ICA (OR, 0.909; P = 0.008), and PI in ICA (OR, 5.324; P = 0.041) were independently related to moderate to severe CSVD burden. Spearman correlation analysis showed that EDV in CCA and ICA was negatively related to the total MRI load of CSVD in patients with RSSIs (P < 0.001). PI in CCA and ICA was positively associated with the whole MRI load of CSVD (P < 0.001). Low carotid blood flow velocity and high carotid pulsatility index are independently associated with moderate to severe burden of CSVD.

Aldosteronism is associated with more severecerebral small vessel disease in hypertensive intracerebral hemorrhage.

Primary aldosteronism is associated with various types of cardiovascular and cerebrovascular damage independently of hypertension. Although chronic hypertension and related cerebral arteriosclerosis are the main risk factors for intracerebral hemorrhage, the effects of aldosteronism remain poorly understood. We enrolled 90 survivors of hypertensive intracerebral hemorrhage, 21 of them with aldosteronism and 69 with essential hypertension as controls in this study. Clinical parameters and neuroimaging markers of cerebral small vessel disease were recorded, and its correlations with aldosteronism were investigated. Our results showed that the aldosteronism group (55.2 ± 9.7 years, male 47.6%) had similar hypertension severity but exhibited a higher cerebral microbleed count (interquartile range) (8.5 [2.0‒25.8] vs 3 [1.0‒6.0], P = 0.005) and higher severity of dilated perivascular space in the basal ganglia (severe perivascular space [number >20], 52.4% vs. 24.6%, P = 0.029; large perivascular space [>3 mm], 52.4% vs. 20.3%, P = 0.010), compared to those with essential hypertension (53.8 ± 11.7 years, male 73.9%). In multivariate models, aldosteronism remained an independent predictor of a higher (>10) microbleed count (odds ratio = 8.60, P = 0.004), severe perivascular space (odds ratio = 4.00, P = 0.038); the aldosterone-to-renin ratio was associated with dilated perivascular space (P = 0.043) and large perivascular space (P = 0.008). In conclusions, survivors of intracerebral hemorrhage with aldosteronism showed a tendency towards more severe hypertensive arteriopathy than the essential hypertension counterparts independently of blood pressure; aldosteronism may contribute to dilated perivascular space around the deep perforating arteries. Aldosteronism is associated with more severe cerebral small vessel disease in hypertensive intracerebral hemorrhage.

Cerebral Small Vessel Disease Is Associated with Motor, Cognitive, and Emotional Dysfunction in Multiple System Atrophy.

Cerebral small vessel disease (CSVD) has not been systematically studied in patients with multiple system atrophy (MSA). We sought to explore whether MSA patients suffer from a heavier CSVD burden relative to healthy individuals and whether CSVD has a relationship with motor, cognitive, and emotional dysfunction in patients with MSA. This study consecutively recruited 190 MSA patients and 190 matched healthy controls whose overall CSVD burden and single CSVD imaging markers (including white matter hyperintensity (WMH), microbleeds, lacunes, and enlarged perivascular spaces (EPVS)) were measured. Of the MSA patients, 118 completed multi-dimensional outcome assessments. Spearman's correlations and multivariable linear regressions were performed. We observed a greater burden of overall CSVD, WMH, and EPVS in MSA patients compared with controls, but not for microbleeds and lacunes. Motor dysfunction and cognitive impairment were significantly worse in subjects with severe CSVD than those with none-to-mild CSVD. In patients with MSA, the severity of CSVD burden was positively associated with motor impairments as measured by the Unified Multiple System Atrophy Rating Scale-II (β= 2.430, p = 0.039) and Scale for the Assessment and Rating of Ataxia (β= 1.882, p = 0.015). Of CSVD imaging markers, different associations with MSA outcomes were displayed. WMH was associated with motor, cognitive, and emotional deficits, while the EPVS in the centrum semiovale, basal ganglia, and hippocampus regions was correlated only with motor severity, anxiety, and cognition, respectively. Similar findings were noted in MSA-cerebellar and MSA-parkinsonian patients. Concomitant CSVD may be correlated with worse multi-dimensional dysfunction in patients with MSA.

Hemodynamic significance of intracranial atherosclerotic disease and ipsilateral imaging markers of cerebral small vessel disease.

Cerebral small vessel disease (CSVD) commonly exists in patients with symptomatic intracranial atherosclerotic disease (sICAD). We aimed to investigate the associations of hemodynamic features of sICAD lesions with imaging markers and overall burden of CSVD. Patients with anterior-circulation sICAD (50%-99% stenosis) were analyzed in this cross-sectional study. Hemodynamic features of a sICAD lesion were quantified by translesional pressure ratio (PR = Pressurepost-stenotic/Pressurepre-stenotic) and wall shear stress ratio (WSSR = WSSstenotic-throat/WSSpre-stenotic) via CT angiography-based computational fluid dynamics modeling. PR ⩽median was defined as low ("abnormal") PR, and WSSR ⩾ fourth quartile as high ("abnormal") WSSR. For primary analyses, white matter hyperintensities (WMHs), lacunes, and cortical microinfarcts (CMIs) were assessed in MRI and summed up as overall CSVD burden, respectively in ipsilateral and contralateral hemispheres to sICAD. Enlarged perivascular spaces (EPVSs) and cerebral microbleeds (CMBs) were assessed for secondary analyses. Among 112 sICAD patients, there were more severe WMHs, more lacunes and CMIs, and more severe overall CSVD burden ipsilaterally than contralaterally (all p < 0.05). Abnormal PR and WSSR (vs normal PR and WSSR) was significantly associated with moderate-to-severe WMHs (adjusted odds ratio = 10.12, p = 0.018), CMI presence (5.25, p = 0.003), and moderate-to-severe CSVD burden (12.55; p = 0.033), ipsilaterally, respectively independent of contralateral WMHs, CMI(s), and CSVD burden. EPVSs and CMBs were comparable between the two hemispheres, with no association found with the hemodynamic metrics. There are more severe WMHs and CMI(s) in the hemisphere ipsilateral than contralateral to sICAD. The hemodynamic significance of sICAD lesions was independently associated with severities of WMHs and CMI(s) ipsilaterally.

Decreased Local Specialization of Brain Structural Networks Associated with Cognitive Dysfuntion Revealed by Probabilistic Diffusion Tractography for Different Cerebral Small Vessel Disease Burdens

To reveal the network-level structural disruptions associated with cognitive dysfunctions in different cerebral small vessel disease (CSVD) burdens, we used probabilistic diffusion tractography and graph theory to investigate the brain network topology in 67 patients with a severe CSVD burden (CSVD-s), 133 patients with a mild CSVD burden (CSVD-m) and 89 healthy controls. We used one-way analysis of covariance to assess the altered topological measures between groups, and then evaluated their Pearson correlation with cognitive parameters. Both the CSVD and control groups showed efficient small-world organization in white matter (WM) networks. However, compared with CSVD-m patients and controls, CSVD-s patients exhibited significantly decreased local efficiency, with partially reorganized hub distributions. For regional topology, CSVD-s patients showed significantly decreased nodal efficiency in the bilateral anterior cingulate gyrus, caudate nucleus, right opercular inferior frontal gyrus (IFGoperc), supplementary motor area (SMA), insula and left orbital superior frontal gyrus and angular gyrus. Intriguingly, global/local efficiency and nodal efficiency of the bilateral caudate nucleus, right IFGoperc, SMA and left angular gyrus showed significant correlations with cognitive parameters in the CSVD-s group, while only the left pallidum showed significant correlations with cognitive metrics in the CSVD-m group. In conclusion, the decreased local specialization of brain structural networks in patients with different CSVD burdens provides novel insights into understanding the brain structural alterations in relation to CSVD severity. Cognitive correlations with brain structural network efficiency suggest their potential use as neuroimaging biomarkers to assess the severity of CSVD.

Abnormal whole-brain voxelwise structure-function coupling and its association with cognitive dysfunction in patients with different cerebral small vessel disease burdens.

Cerebral small vessel disease (CSVD) is a universal neurological disorder in older adults that occurs in connection with cognitive dysfunction and is a chief risk factor for dementia and stroke. While whole-brain voxelwise structural and functional abnormalities in CSVD have been heavily explored, the degree of structure-function coupling abnormality possible in patients with different CSVD burdens remains largely unknown. This study included 53 patients with severe CSVD burden (CSVD-s), 108 patients with mild CSVD burden (CSVD-m) and 76 healthy controls. A voxelwise coupling metric of low frequency fluctuations (ALFF) and voxel-based morphometry (VBM) was used to research the important differences in whole-brain structure-function coupling among groups. The correlations between ALFF/VBM decoupling and cognitive parameters in CSVD patients were then investigated. We found that compared with healthy controls, CSVD-s patients presented notably decreased ALFF/VBM coupling in the bilateral caudate nuclei and increased coupling in the right inferior temporal gyrus (ITG). In addition, compared with the CSVD-m group, the CSVD-s group demonstrated significantly decreased coupling in the bilateral caudate nuclei, right putamen and inferior frontal gyrus (IFG) and increased coupling in the left middle frontal gyrus and medial superior frontal gyrus. Notably, the ALFF/VBM decoupling values in the caudate, IFG and ITG not only showed significant correlations with attention and executive functions in CSVD patients but also prominently distinguished CSVD-s patients from CSVD-m patients and healthy controls in receiver operating characteristic curve research. Our discoveries demonstrated that decreased ALFF/VBM coupling in the basal ganglia and increased coupling in the frontotemporal lobes were connected with more severe burden and worse cognitive decline in CSVD patients. ALFF/VBM coupling might serve as a novel effective neuroimaging biomarker of CSVD burden and provide new insights into the pathophysiological mechanisms of the clinical development of CSVD.

Stroke severity mediates the effect of socioeconomic disadvantage on poor outcomes among patients with intracerebral hemorrhage.

Socioeconomic deprivation drives poor functional outcomes after intracerebral hemorrhage (ICH). Stroke severity and background cerebral small vessel disease (CSVD) burden have each been linked to socioeconomic status and independently contribute to worse outcomes after ICH, providing distinct, plausible pathways for the effects of deprivation. We investigate whether admission stroke severity or cerebral small vessel disease (CSVD) mediates the effect of socioeconomic deprivation on 90-day functional outcomes. Electronic medical record data, including demographics, treatments, comorbidities, and physiological data, were analyzed. CSVD burden was graded from 0 to 4, with severe CSVD categorized as ≥3. High deprivation was assessed for patients in the top 30% of state-level area deprivation index scores. Severe disability or death was defined as a 90-day modified Rankin Scale score of 4-6. Stroke severity (NIH stroke scale (NIHSS)) was classified as: none (0), minor (1-4), moderate (5-15), moderate-severe (16-20), and severe (21+). Univariate and multivariate associations with severe disability or death were determined, with mediation evaluated through structural equation modelling. A total of 677 patients were included (46.8% female; 43.9% White, 27.0% Black, 20.7% Hispanic, 6.1% Asian, 2.4% Other). In univariable modelling, high deprivation (odds ratio: 1.54; 95% confidence interval: [1.06-2.23]; p = 0.024), severe CSVD (2.14 [1.42-3.21]; p < 0.001), moderate (8.03 [2.76-17.15]; p < 0.001), moderate-severe (32.79 [11.52-93.29]; p < 0.001), and severe stroke (104.19 [37.66-288.12]; p < 0.001) were associated with severe disability or death. In multivariable modelling, severe CSVD (3.42 [1.75-6.69]; p < 0.001) and moderate (5.84 [2.27-15.01], p < 0.001), moderate-severe (27.59 [7.34-103.69], p < 0.001), and severe stroke (36.41 [9.90-133.85]; p < 0.001) independently increased odds of severe disability or death; high deprivation did not. Stroke severity mediated 94.1% of deprivation's effect on severe disability or death (p = 0.005), while CSVD accounted for 4.9% (p = 0.524). CSVD contributed to poor functional outcome independent of socioeconomic deprivation, while stroke severity mediated the effects of deprivation. Improving awareness and trust among disadvantaged communities may reduce admission stroke severity and improve outcomes.

Disturbance of functional brain networks and cognitive decline in Parkinson's disease: Severe cerebral small vessel disease aggravates this relationship

IntroductionSeveral studies have identified a relationship between functional brain network disturbance and cognitive decline in people with Parkinson's disease (PwP); however, few studies have explored whether cerebral small vessel disease (CSVD) burden modifies this relationship. This study aimed to investigate the potential moderating effect of CSVD on the relationship between functional brain network disturbance and cognitive decline in PwP. MethodsWe prospectively recruited 61 PwP from Beijing Tiantan Hospital between October 2021 to September 2022. The Montreal Cognitive Assessment (MoCA) score was used to assess cognition. CSVD imaging markers were evaluated following the STandards for ReportIng Vascular changes on nEuroimaging instructions, and the CSVD burden score was calculated. The functional connectivity indicator was obtained and calculated using quantitative electroencephalography examination. The moderating effect of CSVD burden on the relationship between functional brain network disturbance and cognitive decline was examined using hierarchical linear regression. ResultsForty-six of 61 (75.4%) PwP had cognitive impairment. Higher global weighted phase lag index (wPLI) values in beta1 bands were significantly associated with lower adjusted MoCA scores. CSVD burden aggravated the effect of the global wPLI in beta1 bands on adjusted MoCA scores. This effect was reinforced by the high level of CSVD burden. ConclusionsHigher wPLI indicates a possible pathological activation of functional brain networks that are associated with cognitive decline in PwP, and the high level of CSVD burden aggravates this relationship.

Elevated Soluble TNF-Receptor 1 in the Serum of Predementia Subjects with Cerebral Small Vessel Disease.

Tumor necrosis factor-receptor 1 (TNF-R1)-mediated signaling is critical to the regulation of inflammatory responses. TNF-R1 can be proteolytically released into systemic blood circulation in a soluble form (sTNF-R1), where it binds to circulating TNF and functions to attenuate TNF-mediated inflammation. Increases of peripheral sTNF-R1 have been reported in both Alzheimer's disease (AD) dementia and vascular dementia (VaD). However, the status of sTNF-R1 in predementia subjects (cognitive impairment, no dementia, CIND) is unknown, and putative associations with cerebral small vessel disease (CSVD), as well as with longitudinal changes in cognitive functions are unclear. We measured baseline serum sTNF-R1 in a longitudinally assessed cohort of 93 controls and 103 CIND, along with neuropsychological evaluations and neuroimaging assessments. Serum sTNF-R1 levels were increased in CIND compared with controls (p < 0.001). Higher baseline sTNF-R1 levels were specifically associated with lacunar infarcts (rate ratio = 6.91, 95% CI 3.19-14.96, p < 0.001), as well as lower rates of cognitive decline in the CIND subgroup. Our data suggest that sTNF-R1 interacts with vascular cognitive impairment in a complex manner at predementia stages, with elevated levels associated with more severe CSVD at baseline, but which may subsequently be protective against cognitive decline.

Subclinical Hypothyroidism is Associated with Cognitive Impairment in Patients with Cerebral Small Vessel Disease.

To investigate the association between subclinical hypothyroidism (SCH) and cognitive function in patients with cerebral small vessel disease (CSVD). We evaluated 528 patients with CSVD in this retrospective study. SCH was defined as elevated levels of thyroid stimulating hormone with normal concentrations of free thyroxine. Magnetic resonance imaging was performed to assess the total CSVD burden score and the Montreal Cognitive Assessment was used to measure the cognitive function. Participants were grouped based on cognitive function or total CSVD burden score. Multivariate logistic regression and mediation analysis models were used to estimate the association of SCH with cognitive function and CSVD burden. SCH was an independent risk factor for cognitive impairment in patients with CSVD after adjustment for potential confounding factors (OR: 1.939; 95% CI: 1.170 to 3.213; P=0.010). Additionally, SCH was independently associated with severe CSVD burden after adjustment for potential confounding factors (OR: 1.668; 95% CI: 1.085 to 2.564; P=0.020). Mediation analysis found a significant moderating effect (P=0.021) of the severe CSVD burden on the relation between SCH and cognitive impairment after adjustment for potential confounding factors. A 30.1% of the total effect between this relation was attributable to the presence of severe CSVD burden. SCH was associated with an increased risk of cognitive impairment in patients with CSVD. The mediating role of severe CSVD burden suggests that SCH may lead to cognitive impairment through the presence of severe CSVD burden. These findings may suggest strategies for screening for SCH in the context of cognitive impairment in patients with severe CSVD.