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Background: Cerebral pulsatility is thought to reflect arterial stiffness and downstream microvascular resistance. Although previous studies indicated cerebral pulsatility might closely relate to development of cerebral small vessel disease (SVD), yet evidence remain controversial and longitudinal data are rare. Objective: We aimed to explore relationships of cerebral pulsatility with severity and progression of various SVD imaging markers among the community-dwelling elderly. Design: A longitudinal cohort study. Methods: As part of the prospective community-based Shanghai Aging Study cohort, dementia- and stroke-free elderly were recruited for baseline assessment of cerebral pulsatility and SVD severity during 2010–2011 and traced for SVD progression during 2016–2017. Cerebral pulsatility was quantified for both anterior and posterior circulation with transcranial Doppler ultrasound. SVD imaging markers were measured with brain magnetic resonance imaging (MRI) including white matter hyperintensities (WMHs), enlarged perivascular spaces (ePVS), lacunes, and microbleeds. The cross-sectional and longitudinal relationships between cerebral pulsatility and SVD were analyzed by univariable and multivariable regression models. Results: Totally, 188 eligible subjects were included at baseline and out of them, 100 (53.19%) returned for a 7-year follow-up. At baseline, increased pulsatility of posterior circulation was independently associated with more periventricular WMH (PWMH) and ePVS in basal ganglia (BG-ePVS) but not with other SVD markers. Longitudinally, higher posterior pulsatility predicted greater PWMH progression in participants with hypertension (β = 2.694, standard error [SE] = 1.112, p = 0.020), whereas pulsatility of anterior circulation was shown to prevent BG-ePVS progression among followed-up elderly (β = −6.737, SE = 2.685, p = 0.012). However, no significant relationship was found between cerebral pulsatility and burden of lacunes or cerebral microbleeds. Conclusion: Higher pulsatility of posterior circulation could worsen PWMH progression, especially for participants with hypertension. But for development of ePVS, increased cerebral pulsatility could play a compensatory role among several healthy elderly. The distinct relationships between cerebral pulsatility and various SVD markers emphasized the importance of individualized SVD management. [ABSTRACT FROM AUTHOR]

The existence of lymphatic vessels or similar clearance systems in the central nervous system (CNS) that transport nutrients and remove cellular waste is a neuroscientific question of great significance. As the brain is the most metabolically active organ in the body, there is likely to be a potential correlation between its clearance system and the pathological state of the CNS. Until recently the successive discoveries of the glymphatic system and the meningeal lymphatics solved this puzzle. This article reviews the basic anatomy and physiology of the glymphatic system. Imaging techniques to visualize the function of the glymphatic system mainly including post-contrast imaging techniques, indirect lymphatic assessment by detecting increased perivascular space, and diffusion tensor image analysis along the perivascular space (DTI-ALPS) are discussed. The pathological link between glymphatic system dysfunction and neurological disorders is the key point, focusing on the enlarged perivascular space (EPVS) and the index of diffusivity along the perivascular space (ALPS index), which may represent the activity of the glymphatic system as possible clinical neuroimaging biomarkers of neurological disorders. The pathological link between glymphatic system dysfunction and neurological disorders is the key point, focusing on the enlarged perivascular space (EPVS) and the index for of diffusivity along the perivascular space (ALPS index), which may represent the activity of the glymphatic system as possible clinical neuroimaging biomarkers of neurological disorders [ABSTRACT FROM AUTHOR]

Background Enlarged perivascular spaces (EPVS) have been reported to be associated with cerebral infarction, cerebral hemorrhage or cognitive dysfunction. However, there is still a lack of relevant reports on the risk factors of EPVS, especially fundus arteriovenous crossing phenomenon and fundus exudation in patients with mild acute cerebral infarction. Objective To investigate the risk factors of EPVS and the association between EPVS and fundus lesions in patients with mild acute cerebral infarction. Methods Two hundred and sixty-six patients with mild acute cerebral infarction were retrospectively chosen from the Fifth People's Hospital of Pingdingshan and Pingdingshan the Second People's Hospital in the period from January 2015 to December 2020, including 114 with EPVS, and 152 without. General demographics, laboratory test and imaging data were collected. Multivariate Logistic regression was used to analyze the independent influencing factors of EPVS in mild acute cerebral infarction. Spearman's rank correlation and multivariate linear regression were used to analyze the correlation between the severity and number of EPVS with fundus lesions. Results Among the 266 patients, 178 were male and 88 were female, with a mean age of (67.8±12.9) years. Patients with and without EPVS had significant differences in mean age, prevalence of hypertension history, mean severity of fundus arteriosclerosis, diameter of the central retinal artery, retinal arteriovenous ratio, prevalence of hemangioma and retinal arteriovenous crossing phenomenon (P

Background The enlarged perivascular space (EPVS) is closely associated with cognitive dysfunction, affective disorder, stroke, and adverse outcomes after stroke. So early detection and treatment of EPVS are extremely important. Objective To investigate the relationship between heart rate variability (HRV) and the distribution of EPVS in the brain. Methods One hundred and ninety-nine inpatients with complete examination results of 24-hour ambulatory ECG and brain MRI were selected from Department of Neurology, the Second Affiliated Hospital of Zhengzhou University from January 2020 to May 2022. The sum of EPVS was assessed, and by the sum of EPVS (severity score of EPVS) in basal ganglia region (BG-EPVS), the patients were divided into 3 groups: mild BG-EPVS group〔visual PVS rating scale score developed by Potter (Potter score) =1, 126 cases〕, moderate BG-EPVS group (Potter score=2, 46 cases), severe BG-EPVS group (Potter score=3-4, 27 cases), and by the sum of EPVS in centrum semiovale region (CS-EPVS), the patients were divided into another 3 groups: mild CS-EPVS group (Potter score=1, 131 cases), moderate CS-EPVS group (Potter score=2, 45 cases), severe CS-EPVS group (Potter score=3-4, 23 cases). The dominance models were divided according to the number of BG-EPVS and CS-EPVS, model 1 (BG>CS, 119 cases), model 2 (BG=CS, 20 cases), model 3 (BG

The ocular glymphatic system supports bidirectional fluid transport along the optic nerve, thereby removes metabolic wastes including amyloid-β. To better understand this biological process, we examined the distributions of intravitreally and intracisternally infused tracers in full-length optic nerves from different age groups of mice. Aging was linked to globally impaired ocular glymphatic fluid transport, similar to what has seen previously in the brain. Aging also reduced the pupillary responsiveness to light stimulation and abolished light-induced facilitation in anterograde ocular glymphatic flow. In contrast to normal aging, in the DBA/2 J model of glaucoma, we found a pathological increase of glymphatic fluid transport to the anterior optic nerve that was associated with dilation of the perivascular spaces. Thus, aging and glaucoma have fundamentally different effects on ocular glymphatic fluid transport. Manipulation of glymphatic fluid transport might therefore present a new target for the treatment of glaucoma.

临床中脑小血管病患者发生自发性高血压脑出血的现象多见，且很多患者合并脑小血管病的影像学标志物，本综述对二者临床上的相关性进行总结。脑白质高信号的严重程度与自发性高血压脑出血复发的风险呈正相关，增加死亡率和不良预后；总微出血数量与血肿扩大显著相关，可预测患者的不良预后；血管周围间隙扩大或腔隙性梗死合并自发性高血压脑出血的临床研究较少，有待于进一步阐明；多个影像学特征的脑小血管病患者，其脑小血管病总体负荷评分越高，临床不良功能预后及脑出血复发风险越高。 Abstract: Many patients with cerebral small vessel disease (CSVD) in clinical practice developed spontaneous hypertensive intracerebral hemorrhage, and many CSVD patients had CSVD imaging markers. This article reviewed the progress of clinical correlation of spontaneous intracerebral hemorrhage with CSVD. Most studies suggested that the severity of white matter hyperintensity was positively correlated with the risk of intracerebral hemorrhage recurrence, and increased mortality and poor prognosis; the total number of microbleeds was significantly correlated with hematoma enlargement, and could predict the poor prognosis of patients. There are few studies on the correlation of enlarged perivascular space or lacunar infarction with spontaneous hypertensive intracerebral hemorrhage, and the evidence on their relationship is insufficient. For patients with multiple CSVD imaging features, the higher the total score of CSVD load, the higher the risk of poor functional prognosis and intracerebral hemorrhage recurrence.

Objective To investigate the correlation between mood disorders and imaging markers in patients with arteriosclerotic cerebral small vessel disease （aCSVD）, aiming to provide evidence for clinical diagnosis, treatment and mechanism. Methods Eighty-one aCSVD patients were included in this study. According to the Self-Rating Anxiety Scale （SAS） and Self-Rating Depression Scale （SDS） scores, all patients were divided into the non-anxiety （n = 58）, anxiety （n = 23）, non-depression （n = 50） and depression groups （n = 31）. The correlation between CSVD imaging markers and anxiety and depression was analyzed. Results The average age of patients was （67.03±9.28） years. The CSVD imaging burden score was 1.5 （2）. Among imaging markers, the number of basal ganglia enlarged perivascular space （BG-EPVS） was independently associated with anxiety （P = 0.004） and depression （P = 0.011）. Symptomatic analysis showed that the number of BG-EPVS was correlated with the anxiety symptoms, such as frequent urination （P = 0.026）, facial flushing and perspiration （P = 0.007）, sleep disturbance （P = 0.002）, and negative ideational content of depression （P < 0.001）. Conclusions Among different CSVD imaging markers, BG-EPVS is independently associated with anxiety and depression in aCSVD patients. For anxiety, BG-EPVS is correlated with anxiety-related somatical symptoms and sleep disorders. For depression, BG-EPVS mainly affects the psychological state of aCSVD patients. aCSVD patients with a significantly increasing number of BG-EPVS are more likely to develop mood disorders, and early interventions may bring benefits to aCSVD patients.

Deep learning has been demonstrated effective in many neuroimaging applications. However, in many scenarios, the number of imaging sequences capturing information related to small vessel disease lesions is insufficient to support data-driven techniques. Additionally, cohort-based studies may not always have the optimal or essential imaging sequences for accurate lesion detection. Therefore, it is necessary to determine which imaging sequences are crucial for precise detection. This study introduces a deep learning framework to detect enlarged perivascular spaces (ePVS) and aims to find the optimal combination of MRI sequences for deep learning-based quantification. We implemented an effective lightweight U-Net adapted for ePVS detection and comprehensively investigated different combinations of information from SWI, FLAIR, T1-weighted (T1w), and T2-weighted (T2w) MRI sequences. The experimental results showed that T2w MRI is the most important for accurate ePVS detection, and the incorporation of SWI, FLAIR and T1w MRI in the deep neural network had minor improvements in accuracy and resulted in the highest sensitivity and precision (sensitivity = 0.82, precision = 0.83). The proposed method achieved comparable accuracy at a minimal time cost compared to manual reading. The proposed automated pipeline enables robust and time-efficient readings of ePVS from MR scans and demonstrates the importance of T2w MRI for ePVS detection and the potential benefits of using multimodal images. Furthermore, the model provides whole-brain maps of ePVS, enabling a better understanding of their clinical correlates compared to the clinical rating methods within only a couple of brain regions.

Objective: To explore the relationship between heart rate variability (HRV), the brain distribution of enlarged perivascular space (EPVS), and cognitive impairment in patients with EPVS. Materials and methods: The clinical and imaging data of 199 patients with EPVS were retrospectively analyzed. EPVS load in the basal ganglia (BG) and centrum semiovale (CS) regions were assessed using the Potter's method. Cognitive function was evaluated using the Montreal Cognitive Assessment Scale. A logistic regression model was used to analyze the relationship between HRV, the brain distribution of EPVS and cognitive function in patients with EPVS. A receiver operating characteristic curve was used to assess the predictive value of HRV for cognitive function in patients with EPVS. Results: Of the 199 patients, 27 and 42 presented with severe BG-EPVS and cognitive impairment, respectively. Significant differences were observed in the root mean square of successive differences of normal-normal (NN) intervals for period of interest (rMSSD), the percentage of adjacent NN intervals greater than 50 ms (PNN50), and the ratio of low-frequency power (LF) to high-frequency power (HF) between the mild and severe BG-EPVS groups (P < 0.05). Patients who presented with and without cognitive impairment differed significantly in the standard deviation of NN intervals (SDNN), rMSSD, PNN50, total power, LF, and LF/HF (P < 0.05). rMSSD (odds ratio [OR] 0.871, 95% confidence interval [CI] 0.768-0.988) and LF/HF (OR 3.854, 95% CI 1.196-12.419) were independent influencing factors of BGEPVS, and rMSSD (OR 0.936, 95% CI 0.898-0.976) was an independent influencing factor of cognitive impairment in patients with EPVS. The optimal cut-off point was 0.312, with an area under the curve of 0.795 (95% CI 0.719-0.872) for predicting cognitive impairment in patients with EPVS by rMSSD. Conclusion: Reduced HRV is involved in the pathophysiological mechanisms of the formation and development of BG-EPVS and is associated with cognitive impairment in patients with EPVS, independent of CS-EPVS. For patients with HRV changes but without autonomic nervous system symptoms, positive intervention may slow the occurrence or progression of EPVS and cognitive impairment in patients with EPVS. [ABSTRACT FROM AUTHOR]

Background and objective: Gait disturbances are common in the elderly and can lead to the loss of functional independence and even death. Enlarged perivascular space (EPVS) andmotor performancemay be related, but only few studies have explored this relationship. The aim of our study was to investigate the effects of both the severity and location of EPVS on movement disorders. Method: Two hundred and six participants aged between 45 and 85 years old with complete magnetic resonance imaging (MRI) data were included in our analysis. EPVS were divided into basal ganglia (BG) and centrum semiovale (CSO), and their grades were measured. Gait was assessed quantitatively using a 4-m walkway and TUG test as well as semi-quantitatively using the Tinetti and SPPB tests. The function of upper extremities was evaluated by 10-repeat pronation-supination, 10-repeat finger-tapping, and 10-repeat opening and closing of the hands. Results: Both high-grade EPVS, whether in BG and CSO, were independently correlated with gait parameters, the TUGtime, Tinetti, and SPPB tests. The EPVS located in BG had a significant association with 10-repeat finger-tapping time (β = 0.231, P = 0.025) and a similar association was also observed between CSO-EPVS and 10-repeat pronation-supination time (β = 0.228, P = 0.014). Conclusion: Our results indicated that EPVS was associated with gait disturbances, and a further investigation found that EPVS has an association with upper extremities disorder. EPVS should be considered as a potential target for delaying gait and upper extremities damage since CSVD can be prevented to some extent. [ABSTRACT FROM AUTHOR]

(1) Background: This study aimed to investigate the prevalence and risk factors for enlarged perivascular spaces (EPVS) in young adults from a neurology clinic-based cohort (≤45 years old) via unenhanced brain MRI. (2) Methods: A total of 931 young adults from a neurology clinic-based cohort who underwent unenhanced brain MRI between 1 January 2021 and 30 June 2021 were retrospectively included in this study. The EPVS were rated in the centrum semiovale (CSO-EPVS), basal ganglia (BG-EPVS), and midbrain (MB-EPVS) using a visual rating scale. The degrees of the CSO-EPVS, BG-EPVS, and MB-EPVS were all divided by a cutoff value of 1. Demographic factors, vascular risk factors, and symptoms were analyzed using the chi-square test and logistic regression to determine the risk factors of EPVS. (3) Results: The overall prevalence of EPVS was 99.8% (929/931). The CSO-EPVS, BG-EPVS, and MB-EPVS were predominantly scored as 1 (52.1%, 79.1%, and 58.3%, respectively). Logistic regression analysis identified age and hypertension as factors affecting the degrees of CSO-EPVS and BG-EPVS (p < 0.05). Hypertension (p < 0.001) and diabetes (p = 0.014) were revealed to be factors affecting the degree of BG-EPVS. Furthermore, patients with headache (OR = 1.807; p = 0.001) and dizziness (OR = 1.574; p = 0.025) were associated with MB-EPVS. (4) Conclusions: EPVS were frequently found in young adults and could be related to the symptoms. Age, hypertension, and diabetes were the risk factors for the severity of EPVS in the corresponding brain regions. [ABSTRACT FROM AUTHOR]

Cerebral small vessel disease (CSVD) is a common cerebrovascular disease and an important cause of gait and balance disorders. Gait and balance disorders can further lead to an increased risk of falls and a decreased quality of life. CSVD can damage gait and balance function by affecting cognitive function or directly disrupting motor pathways, and different CSVD imaging features have different characteristics of gait and balance impairment. In this article, the correlation between different imaging features of sporadic CSVD and gait and balance disorders has been reviewed as follows, which can provide beneficial help for standardized management of CSVD. [ABSTRACT FROM AUTHOR]

Background: We aimed to analyze the clinical characteristics and prognostic features of Chinese patients with relatively late-onset neuromyelitis optica spectrum disorder (RLO-NMOSD>40 years of age at disease onset), compared with patients with relatively early onset NMOSD (REO-NMOSD, ≤ 40 years of age at disease onset). Methods: We retrospectively reviewed the medical records of patients with NMOSD in central China (with disease courses longer than 3 years) between January 2012 and January 2021. We further analyzed the clinical and prognostic differences between patients with REO-NMOSD and RLO-NMOSD. Results: A total of 71 patients were included in this study. The results showed that 39 (54.9%) of the patients had RLO-NMOSD. The patients with RLO-NMOSD had higher expanded disability status scale (EDSS) scores than patients with REO-NMOSD at the initial (5.0 vs. 3.0, p = 0.01), 3-month (4.0 vs. 2.5, p = 0.001), 1-year (4.0 vs. 2.5, p = 0.003), 3rd-year (3.5 vs. 3.0, p = 0.0017), and final follow-up (4.0 vs. 2.5, P = 0.002) time points. The EDSS scores of visual function were 2.0 (1.0–3.0) in REO-NMOSD and 3.0 (2.0–3.0) in RLO-NMOSD (p = 0.038) at the final follow-up time point. The locations of spinal cord lesions at transverse myelitis (TM) onset were prone to cervical cord in patients with REO-NMOSD. There were no between-group treatment differences. The risk of requiring a cane to walk (EDSS score of 6.0) increased as the age of disease onset increased: for every 10-year increase in the age of disease onset, the risk of needing a cane to walk increased by 65% [hazard ratio (HR) = 1.65, 95% CI 1.15–2.38, p = 0.007]. Another significant predictor identified in the multivariate analysis was annualized relapse rate (ARR) (HR = 2.01, 95% CI 1.09–3.71, p = 0.025). In addition, we observed a positive correlation between age at onset and EDSS scores at the final follow-up (Spearman's r = 0.426, p < 0.0001) time point. EDSS scores at different periods were significantly different between patients with RLO-NMOSD and REO-NMOSD with anti-aquaporin-4 (AQP4) IgG positive. Conclusion: The patients with RLO-NMOSD developed more severe disabilities than patients with REO-NMOSD at a variety of time periods. All of the patients may experience recurrent aggravated symptoms after their first year, with only patients with REO-NMOSD partly recovering from the 3rd year. The age at onset and ARR were the main predictors of outcomes. [ABSTRACT FROM AUTHOR]

Objective: To investigate the factors influencing enlarged perivascular space (EPVS) characteristics at the onset of acute ischemic stroke (AIS), and whether the PVS characteristics can predict later post‐stroke epilepsy (PSE). Methods: A total of 312 patients with AIS were identified, of whom 58/312 (18.6%) developed PSE. Twenty healthy participants were included as the control group. The number of PVS in the basal ganglia (BG), centrum semiovale (CS), and midbrain (MB) was manually calculated on T2‐weighted MRI. The scores and asymmetry index (AI) of EPVS in each region were compared among the enrolled participants. Other potential risk factors for PSE were also analyzed, including NIHSS at admission and stroke etiologies. Results: The EPVS scores were significantly higher in the bilateral BG and CS of AIS patients compared to those of the control group (both p < 0.01). No statistical differences in EPVS scores in BG, CS, and MB were obtained between the PSE group and the nonepilepsy AIS group (all p > 0.01). However, markedly different AI scores in CS were found between the PSE group and the nonepilepsy AIS group (p = 0.004). Multivariable analysis showed that high asymmetry index of EPVS (AI≥0.2) in CS was an independent predictor for PSE (OR = 3.7, 95% confidence interval 1.5–9.1, p = 0.004). Conclusions: Asymmetric distribution of EPVS in CS may be an independent risk factor and a novel imaging biomarker for the development of PSE. Further studies to understand the mechanisms of this association and confirmation with larger patient populations are warranted. [ABSTRACT FROM AUTHOR]

Objective. FAM19A5 plays an essential role in the development and acute or chronic inflammation of the central nervous system. The present study aimed to explore the association between FAM19A5 and cerebral small vessel disease (cSVD). Methods. A total of 344 recent small subcortical infarct (RSSI) patients and 265 healthy controls were included in this study. The difference in the FAM19A5 level between the two groups was compared and the correlation between FAM19A5 and cerebral infarction volume was analyzed. Also, the association between FAM19A5 and the total magnetic resonance imaging (MRI) burden with its imaging characteristics was explored. Moreover, the correspondence of FAM19A5 with the outcome was assessed via 1 National Institutes of Health Stroke Scale score (NIHSS) and the percentage of NIHSS improvement. Results. FAM19A5 was highly expressed in the RSSI group (P D 0:023), showing a positive correlation with cerebral infarction volume (P < 0:01). It was positively correlated with total MRI cSVD burden (P <0:001) and reflected the severity of white matter hyperintensity (WMH) (P < 0:01) and enlarged perivascular space (EPVS) (P < 0:01), but did not show any association with cerebral microbleed (CMB) and lacune. Moreover, FAM19A5 suggested a larger 1 NIHSS (P D 0:021) and NIHSS improvement percentage (P D0:007). Conclusion. Serum FAM19A5 was increased in RSSI and positively correlated with the infarct volume. It also reflects the total MRI burden of cSVD, of which the imaging characteristics are positively correlated with WMH and EPVS. In addition, higher FAM19A5 levels reflect better outcomes in RSSI patients. [ABSTRACT FROM AUTHOR]

The triglyceride glucose (TyG) index is considered a simple surrogate marker for insulin resistance and has been associated with cerebrovascular diseases. However, limited information is available regarding its association with the subclinical cerebral small vessel disease (CSVD). Here, we investigated the association of TyG index with the burden and distribution of enlarged perivascular space (EPVS) in the non-diabetic population. The data of 531 non-diabetic patients from 2017 to 2020 were assessed. Participants were grouped according to the burden of EPVS. TyG index was calculated using the log scale of fasting triglycerides (mg/dl) × fasting glucose (mg/dl)/2. The association of TyG index with EPVS burden and distribution was evaluated. In the multivariable logistic regression analysis, the TyG index was associated with moderate to severe EPVS [odds ratio (OR): 2.077; 95% CI = 1.268–3.403]. The TyG index was significantly associated with an increased risk of moderate to severe EPVS in subgroups of age <65 years, male, diastolic blood pressure (DBP) <90 mmHg, low-density lipoprotein cholesterol (LDL-C) ≥2.85 mmol/L, serum homocysteine <10 μmol/L, and estimated glomerular filtration rate (eGFR) <90 ml/min/1.73 m2, as well as those without smoking. Further analysis of EPVS distribution, the TyG index was found to be associated with moderate to severe EPVS in the centrum semiovale (CSO), not in the basal ganglia (BG). Conclusively, the TyG index was independently and positively associated with moderate to severe CSO EPVS. TyG index may serve as an independent risk factor for CSVD in clinical practice. [ABSTRACT FROM AUTHOR]

Cilia dysfunction in autosomal-dominant polycystic kidney disease (ADPKD) may impair the integrity of glymphatic system and be implicated in the progression of cerebral small vessel disease (SVD), although the link between the two diseases has not been investigated. We evaluated the association of ADPKD pathology with SVD pattern and severity. Overall, 304 individuals in an ADPKD (chronic kidney disease stage ≤4 and age ≥50 years) cohort and their age, sex, and estimated glomerular filtration rate (eGFR)-matched controls were retrospectively included. ADPKD severity was classified into 1 A-B, 1 C, and 1 D-E, according to age and height-adjusted total kidney volume. SVD parameters included white-matter hyperintensity (WMH) severity scale, enlarged perivascular space (ePVS) score, and degree of lacunes or cerebral microbleeds (CMBs). After adjustments for age, sex, eGFR, and cerebrovascular risk factor parameters, ADPKD was associated with higher ePVS scores (P < 0.001), but not with the WMH severity or degree of lacunes or CMBs. In the ADPKD subgroup, higher ADPKD severity class was associated with higher ePVS scores (P < 0.001), WMH severity (P = 0.003), and degree of lacunes (P = 0.002). ADPKD associated cilia dysfunction may induce chronic cerebral glymphatic system dysfunction, which may contribute to the specific progression of ePVS compared with other SVD markers. [ABSTRACT FROM AUTHOR]

The Virchow-Robin spaces (VRSs), which are often incidentally observed in modern structural neuroimaging examinations, are small cystic cavities that usually surround the small arteries and arterioles at the level of basal ganglia, the anterior perforated substance and the thalamic-mesencephalic junction. Typically, they have similar physicochemical characteristics to cerebral spinal fluid (CSF) and there is no contrast enhancement on brain CT and MRI images. Its real meaning is unknown, although some contemporary studies have suggested that it might be related to certain traumatic brain injury or several other central nervous system (CNS) disorders, as degenerative diseases. Occasionally, some wide and atypical VRS may be mistaken for primary cystic brain tumors, especially in the context of large and symptomatic lesions, multiple clustered cysts, cortical lesions and if there is adjacent reactive gliosis. The present paper reports four patients who were affected by atypical VRS mimicking brain tumors that required imaging follow-up or even a biopsy to confirm the diagnosis or to indicate the correct approach. Although it is not so unusual, one of them occurred concomitantly and adjacent to a diffuse glioma (co-deleted 1p19q, WHO-GII).

The triglyceride glucose (TyG) index is considered a simple surrogate marker for insulin resistance and has been associated with cerebrovascular diseases. However, limited information is available regarding its association with the subclinical cerebral small vessel disease (CSVD). Here, we investigated the association of TyG index with the burden and distribution of enlarged perivascular space (EPVS) in the non-diabetic population. The data of 531 non-diabetic patients from 2017 to 2020 were assessed. Participants were grouped according to the burden of EPVS. TyG index was calculated using the log scale of fasting triglycerides (mg/dl) × fasting glucose (mg/dl)/2. The association of TyG index with EPVS burden and distribution was evaluated. In the multivariable logistic regression analysis, the TyG index was associated with moderate to severe EPVS [odds ratio (OR): 2.077; 95% CI = 1.268–3.403]. The TyG index was significantly associated with an increased risk of moderate to severe EPVS in subgroups of age

Background: Cerebral small vessel disease (cSVD) and neurodegeneration are the two main causes of dementia and are considered distinct pathological processes, while studies have shown overlaps and interactions between the two pathological pathways. Medial temporal atrophy (MTA) is considered a classic marker of neurodegeneration. We aimed to investigate the relationship of total cSVD burden and MTA on MRI using a total cSVD score and to explore the impact of the two MRI features on cognition. Methods: Patients in a memory clinic were enrolled, who underwent brain MRI scan and cognitive evaluation within 7 days after the first visit. MTA and total cSVD score were rated using validated visual scales. Cognitive function was assessed by using Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scales. Spearman's correlation and regression models were used to test (i) the association between MTA and total cSVD score as well as each cSVD marker and (ii) the correlation of the MRI features and cognitive status. Results: A total of 312 patients were finally enrolled, with a median age of 75.0 (66.0–80.0) years and 40.7% (127/312) males. All of them finished MRI and MMSE, and 293 subjects finished MoCA. Of note, 71.8% (224/312) of the patients had at least one of the cSVD markers, and 48.7% (152/312) of them had moderate–severe MTA. The total cSVD score was independently associated with MTA levels, after adjusting for age, gender, years of education, and other vascular risk factors (OR 1.191, 95% CI 1.071–1.324, P = 0.001). In regard to individual markers, a significant association existed only between white matter hyperintensities and MTA after adjusting for the factors mentioned above (OR 1.338, 95% CI 1.050–1.704, P = 0.018). Both MTA and total cSVD score were independent risk factors for MMSE ≤ 26 (MTA: OR 1.877, 95% CI 1.407–2.503, P < 0.001; total cSVD score: OR 1.474, 95% CI 1.132–1.921, P = 0.004), and MoCA < 26 (MTA: OR 1.629, 95% CI 1.112–2.388, P = 0.012; total cSVD score: OR 1.520, 95% CI 1.068–2.162, P = 0.020). Among all the cSVD markers, microbleed was found significantly associated with MMSE ≤ 26, while no marker was demonstrated a relationship with MoCA < 26. Conclusion: Cerebral small vessel disease was related to MTA in patients of a memory clinic, and both the MRI features had a significant association with cognitive impairment. [ABSTRACT FROM AUTHOR]

脑部血管周围间隙扩大是脑小血管病的影像学标志物之一，其发生发展的机制尚不明确。 现有研究表明血流动力学改变可能引起血管周围间隙扩大的发生发展。本文从血压、血管管壁僵硬 程度、脑血流量等因素对血管周围间隙扩大的影响作一简要综述，为探索血管周围间隙扩大的发病 机制及可能的治疗方法提供帮助。 Abstract: The enlarged perivascular space is one of the neuroimaging markers of cerebral small vessel disease. The mechanism of perivascular space enlargement is still unclear. Many studies have shown that abnormal hemodynamics may be correlated with the enlarged perivascular space. This article reviewed the relationship between blood pressure, stiffness of vessel wall and cerebral blood flow with the enlarged perivascular space, to provide reference for studies of pathogenesis and possible treatment methods of enlarged perivascular space.

(1) Background: This study aimed to investigate the prevalence and risk factors for enlarged perivascular spaces (EPVS) in young adults from a neurology clinic-based cohort (≤45 years old) via unenhanced brain MRI. (2) Methods: A total of 931 young adults from a neurology clinic-based cohort who underwent unenhanced brain MRI between 1 January 2021 and 30 June 2021 were retrospectively included in this study. The EPVS were rated in the centrum semiovale (CSO-EPVS), basal ganglia (BG-EPVS), and midbrain (MB-EPVS) using a visual rating scale. The degrees of the CSO-EPVS, BG-EPVS, and MB-EPVS were all divided by a cutoff value of 1. Demographic factors, vascular risk factors, and symptoms were analyzed using the chi-square test and logistic regression to determine the risk factors of EPVS. (3) Results: The overall prevalence of EPVS was 99.8% (929/931). The CSO-EPVS, BG-EPVS, and MB-EPVS were predominantly scored as 1 (52.1%, 79.1%, and 58.3%, respectively). Logistic regression analysis identified age and hypertension as factors affecting the degrees of CSO-EPVS and BG-EPVS (p < 0.05). Hypertension (p < 0.001) and diabetes (p = 0.014) were revealed to be factors affecting the degree of BG-EPVS. Furthermore, patients with headache (OR = 1.807; p = 0.001) and dizziness (OR = 1.574; p = 0.025) were associated with MB-EPVS. (4) Conclusions: EPVS were frequently found in young adults and could be related to the symptoms. Age, hypertension, and diabetes were the risk factors for the severity of EPVS in the corresponding brain regions.

Abstract Objective We investigated the effect of arterial stiffness on the severity of enlarged perivascular spaces (EPVSs) and cerebral microbleeds (CMBs) at different brain locations. Methods A total of 854 stroke patients underwent both brachial‐ankle pulse wave velocity (baPWV) measurement and brain MRI. The extent of EPVS was separately rated at the levels of the basal ganglia (BG) and centrum semiovale (CS). The CMBs were categorized as strictly lobar CMB and deep CMB. The patients were categorized according to baPWV quartiles, and multivariable logistic regressions were performed to evaluate whether the baPWV increment was independently associated with each cerebral SVD marker at different locations. The odds ratio (OR) with 95% confidence interval (CI) was derived on the reference of the first quartile. Results Severe EPVSs at BG and CS were detected in 243 (28.5%) and 353 patients (41.3%), respectively. The increment of baPWV quartiles was associated with both severe BG EPVS burden (Q4: OR = 2.58, CI = 1.45–4.60) and severe CS EPVS burden (Q4: OR = 2.06, CI = 1.24–3.42). Deep CMBs were found in 259 patients (30.3%), and strictly lobar CMBs were found in 170 patients (19.9%). Multivariable logistic regression model revealed deep CMB was independently associated with the baPWV increment (Q4: OR = 2.52, CI = 1.62–3.94). However, strictly lobar CMB had a neutral relationship with baPWV. Conclusion Increased arterial stiffness is consistently associated with the presence of deep CMB and severe EPVS burden at the BG and CS, suggesting a common pathophysiologic mechanism.

Objective: We investigated the effect of arterial stiffness on the severity of enlarged perivascular spaces (EPVSs) and cerebral microbleeds (CMBs) at different brain locations. Methods: A total of 854 stroke patients underwent both brachial‐ankle pulse wave velocity (baPWV) measurement and brain MRI. The extent of EPVS was separately rated at the levels of the basal ganglia (BG) and centrum semiovale (CS). The CMBs were categorized as strictly lobar CMB and deep CMB. The patients were categorized according to baPWV quartiles, and multivariable logistic regressions were performed to evaluate whether the baPWV increment was independently associated with each cerebral SVD marker at different locations. The odds ratio (OR) with 95% confidence interval (CI) was derived on the reference of the first quartile. Results: Severe EPVSs at BG and CS were detected in 243 (28.5%) and 353 patients (41.3%), respectively. The increment of baPWV quartiles was associated with both severe BG EPVS burden (Q4: OR = 2.58, CI = 1.45–4.60) and severe CS EPVS burden (Q4: OR = 2.06, CI = 1.24–3.42). Deep CMBs were found in 259 patients (30.3%), and strictly lobar CMBs were found in 170 patients (19.9%). Multivariable logistic regression model revealed deep CMB was independently associated with the baPWV increment (Q4: OR = 2.52, CI = 1.62–3.94). However, strictly lobar CMB had a neutral relationship with baPWV. Conclusion: Increased arterial stiffness is consistently associated with the presence of deep CMB and severe EPVS burden at the BG and CS, suggesting a common pathophysiologic mechanism. [ABSTRACT FROM AUTHOR]

Objectives: To investigate the association between insulin resistance (IR) and enlarged perivascular space (EPVS) in the basal gangliain nondiabetic healthy elderly population. Methods: A total of 235 nondiabetic healthy elderly population were recruited. A 3-level scale was used to evaluate the burden of EPVSs. The homeostasis model assessment–estimated insulin resistance index (HOMA-IR) was used for IR estimation. Correlation between IR and severity of EPVS was assessed using the regression model after adjusting demographics and cardiovascular risk factors. Results: The top quartile of HOMA-IR was 2.52, and 25.11% of patients showed IR. The proportion of patients with IR was higher in the moderate to severe EPVS group than in the mild group (36.51% vs 20.93%, P =.015). In multivariate logistic analysis, IR was positively correlated with the moderate to severe EPVS (adjusted odds ratio: 3.532, 95% confidence interval: 1.633-7.636, P =.001) after adjusting classical risk factors. Conclusions: Insulin resistance was independently correlated with EPVS in the basal ganglia in nondiabetic healthy elderly population. [ABSTRACT FROM AUTHOR]

Background: Perivascular spaces (PVSs) are spaces in brain parenchyma filled with interstitial fluid surrounding small cerebral vessels. Massive enlargements of PVSs are referred to as "giant tumefactive perivascular spaces" (GTPVSs), which can be classified into three types depending on their localization. These lesions are rare, predominantly asymptomatic, and often initially misinterpreted as cystic tumor formations. However, there are several reported cases in which GTPVSs have induced neurological symptoms because of their size, mass effect, and location, ultimately leading to obstructive hydrocephalus necessitating neurosurgical intervention. Presented here are three diverse clinical presentations of GTPVS., Observations: Here, the authors observed an asymptomatic case of type 1 GTPVS and two symptomatic cases of type 3 GTPVS, one causing local mass effect and the other hydrocephalus., Lessons: GTPVSs are mostly asymptomatic lesions. Patients without symptoms should be closely monitored, and biopsy is discouraged. Hydrocephalus resulting from GTPVS necessitates surgical intervention. In these cases, third ventriculostomy, shunt implantation, or direct cyst fenestration are surgical options. For patients presenting with symptoms from localized mass effect, a thorough evaluation for potential neurosurgical intervention is imperative. Follow-up in type 3 GTPVS is recommended, particularly in untreated cases. Given the infrequency of GTPVS, definitive guidelines for neurosurgical treatment and subsequent follow-up remain elusive.

The existence of lymphatic vessels or similar clearance systems in the central nervous system (CNS) that transport nutrients and remove cellular waste is a neuroscientific question of great significance. As the brain is the most metabolically active organ in the body, there is likely to be a potential correlation between its clearance system and the pathological state of the CNS. Until recently the successive discoveries of the glymphatic system and the meningeal lymphatics solved this puzzle. This article reviews the basic anatomy and physiology of the glymphatic system. Imaging techniques to visualize the function of the glymphatic system mainly including post-contrast imaging techniques, indirect lymphatic assessment by detecting increased perivascular space, and diffusion tensor image analysis along the perivascular space (DTI-ALPS) are discussed. The pathological link between glymphatic system dysfunction and neurological disorders is the key point, focusing on the enlarged perivascular space (EPVS) and the index of diffusivity along the perivascular space (ALPS index), which may represent the activity of the glymphatic system as possible clinical neuroimaging biomarkers of neurological disorders. The pathological link between glymphatic system dysfunction and neurological disorders is the key point, focusing on the enlarged perivascular space (EPVS) and the index for of diffusivity along the perivascular space (ALPS index), which may represent the activity of the glymphatic system as possible clinical neuroimaging biomarkers of neurological disorders., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

The ocular glymphatic system supports bidirectional fluid transport along the optic nerve, thereby removes metabolic wastes including amyloid-β. To better understand this biological process, we examined the distributions of intravitreally and intracisternally infused tracers in full-length optic nerves from different age groups of mice. Aging was linked to globally impaired ocular glymphatic fluid transport, similar to what has seen previously in the brain. Aging also reduced the pupillary responsiveness to light stimulation and abolished light-induced facilitation in anterograde ocular glymphatic flow. In contrast to normal aging, in the DBA/2 J model of glaucoma, we found a pathological increase of glymphatic fluid transport to the anterior optic nerve that was associated with dilation of the perivascular spaces. Thus, aging and glaucoma have fundamentally different effects on ocular glymphatic fluid transport. Manipulation of glymphatic fluid transport might therefore present a new target for the treatment of glaucoma. [Display omitted] • Natural aging decreases, while glaucoma enhances, ocular glymphatic fluid transport in both directions. • Perivascular changes in the optic nerve may contribute to the pathological ocular glymphatic flow in glaucoma. [ABSTRACT FROM AUTHOR]

Aim: Wall shear stress (WSS) is the frictional force caused by viscous blood flowing along the vessel wall. Decreased WSS is associated with local vascular endothelial dysfunction and atherosclerosis. The vector flow mapping (VFM) technique detects the direction of intracardiac blood flow and WSS on the vessel wall with echocardiography. In this study, we examined carotid WSS by applying the VFM technique to the carotid arteries and evaluated its relationship with cerebral small vessel disease (SVD)., Methods: This is a single-center, prospective, observational study. We investigated the association between carotid WSS and SVD imaging, and cognitive outcomes in consecutive 113 patients with acute lacunar infarction., Results: Carotid WSS was negatively associated with age (r=-0.376, p＜0.001). Lower WSS was correlated with total SVD scores (ρ=-0.304, p=0.004), especially with enlarged perivascular space (EPVS) in the basal ganglia ＞10 (p＜0.001). The carotid intima-media thickness was not associated with the total SVD score (ρ=-0.183, p=0.052). Moreover, lower WSS was associated with executive dysfunction., Conclusion: EPVS has recently been reported as a marker of early SVD imaging, and executive dysfunction is common in vascular cognitive impairment. These results suggested that decreased carotid WSS based on vascular VFM, which can be measured easily, is associated with imaging and cognitive changes in the early stages of SVD.

Objective: Cerebral small vessel disease (SVD) is associated with increased mortality, disability and cognitive decline, depression in stroke survivors. This study examined the association between SVD burden, defined by a combination of SVD markers, and health-related quality of life (HRQoL) in acute ischemic stroke.Methods: Patients admitted with acute ischemic stroke of any etiology were prospectively screened between January 2010 to December 2014 and enrolled in the study if they met study entry criteria. HRQoL was evaluated with the 12-item Stroke Specific Quality of Life (SSQoL) at 3 months after the onset of acute ischemic stroke. SVD was ascertained by the presence of any of the SVD markers including lacune, white matter hyperintensities (WMH), cerebral microbleeds (CMB) and enlarged perivascular spaces (EPVS) in the basal ganglia or their combinations on brain magnetic resonance imaging (MRI). The presence of each individual marker scored 1 point and was summed up to generate an ordinal “SVD score” (0–4) capturing total SVD burden. Linear regression was used to determine the associations between SVD burden and HRQoL.Results: Of the743 acute ischemic stroke patients that formed he study sample (mean age: 66.3 ± 10.6 years; 41.7% women), 49.3%, 22.5%, 16.0%, 9.2% and 3.1% had SVD scores of 0, 1, 2, 3 and 4, respectively. After adjusting for demographic, clinical and imaging variables, the SVD score was independently associated with lower overall score of SSQoL (B = −1.39, SE = 0.56, p = 0.01), and its domains of mobility (B = −0.41, SE = 0.10, p < 0.001) and vision (B = −0.12, SE = 0.06, p = 0.03). Acute infract volume (B = −1.44, SE = 0.54, p = 0.01), functional independence (B = 5.69, SE = 0.34, p < 0.001) and anxious (B = −1.13, SE = 0.23, p < 0.001) and depressive symptoms (B = −3.41, SE = 0.22, p < 0.001) were also the significant predictors of the overall score of SSQoL.Conclusion: The brain’s SVD burden predicts lower HRQoL, predominantly in domains of mobility and vision at 3 months after acute ischemic stroke. The evaluation of SVD burden could facilitate developing individual treatment strategies.

Backgrounds:Enlarged perivascular spaces (EPVS) have been identified as a marker of cerebral small vessel diseases (CSVD). Ambulatory blood pressure (ABP) is the strongest predictor of hypertension-related brain damage. However, the relationship between ABP levels and EPVS is unclear. Objectives:This study aimed to investigate the association between ABP levels and EPVS by 24-hour ambulatory blood pressure monitoring (ABPM). Methods:We prospectively recruited inpatients for physical examinations in our hospital from May 2013 to Jun 2016. 24-hour ABPM data and cranial magnetic resonance imaging information were collected. EPVS in basal ganglia (BG) and centrum semiovale (CSO) were identified and classified into three categories by the severity. White matter hyperintensities were scored by Fazekas scale. Spearman correlation analysis and multiple logistic regression analysis were used to determine the relationship between ABP levels and EPVS. Results:A total of 573 subjects were enrolled in this study. 24-hour, day and night systolic blood pressure (SBP) levels were positively related to higher numbers of EPVS in BG (24-hour SBP:r = 0.23,p < 0.01; day SBP:r = 0.25,p < 0.01; night SBP:r = 0.30,p < 0.01). The association was unchanged after controlling for confounders by multiple logistic regression analysis. 24-hour and day diastolic blood pressure (DBP) levels increased with an increasing degree of EPVS in CSO (p = 0.04 and 0.049, respectively). But the association disappeared after adjusting for confounders. Spearman correlation analysis indicated that ABP levels were not associated with higher numbers of EPVS in CSO (p > 0.05). DBP levels were not independently associated with the severity of EPVS in BG and CSO. Conclusion:Higher SBP levels were independently associated with EPVS in BG, but not in CSO, which supported EPVS in BG to be a marker of CSVD. Pathogenesis of EPVS in BG and CSO might be different. [ABSTRACT FROM PUBLISHER]

Background and purpose Despite extensive studies on post-stroke depression ( PSD), the role of the total burden of cerebral small-vessel disease ( cSVD) in its pathogenesis remains unclear. Methods We conducted a magnetic resonance imaging ( MRI)-based cohort study to investigate the relationship between total MRI burden of cSVD and PSD among patients with first-ever lacunar stroke. From June 2013 to January 2016, 374 patients were consecutively recruited. PSD was identified using the Chinese version of the Structured Clinical Interview for DSM- IV. Brain MRI presence of silent lacunar infarcts, white-matter lesions, cerebral microbleeds and enlarged perivascular spaces was summed to an ordinal score between 0 and 4. Multivariable logistic regression analysis was performed to determine the contribution of total MRI cSVD burden in the prediction of PSD. Results Ninety patients (24.1%) were diagnosed with PSD at 3 months after stroke. Only two MRI markers of cSVD, asymptomatic lacunar infarcts and white-matter lesions, were related to PSD [odds ratio ( OR), 3.167; 95% confidence interval ( CI), 1.879-5.338; P = 0.001 and OR, 2.284; 95% CI, 1.403-3.713; P = 0.001, respectively]. Moreover, higher total MRI cSVD burden was an independent predictor for PSD (high tertile OR, 4.577; 95% CI, 2.400-8.728; P = 0.001) after adjusting for individual cSVD MRI marker and other potential confounders. Conclusions This study demonstrated that greater total MRI burden of cSVD may predict the presence of PSD in patients with acute lacunar stroke. [ABSTRACT FROM AUTHOR]

Deep learning has been demonstrated effective in many neuroimaging applications. However, in many scenarios, the number of imaging sequences capturing information related to small vessel disease lesions is insufficient to support data-driven techniques. Additionally, cohort-based studies may not always have the optimal or essential imaging sequences for accurate lesion detection. Therefore, it is necessary to determine which imaging sequences are crucial for precise detection. This study introduces a deep learning framework to detect enlarged perivascular spaces (ePVS) and aims to find the optimal combination of MRI sequences for deep learning-based quantification. We implemented an effective lightweight U-Net adapted for ePVS detection and comprehensively investigated different combinations of information from SWI, FLAIR, T1-weighted (T1w), and T2-weighted (T2w) MRI sequences. The experimental results showed that T2w MRI is the most important for accurate ePVS detection, and the incorporation of SWI, FLAIR and T1w MRI in the deep neural network had minor improvements in accuracy and resulted in the highest sensitivity and precision (sensitivity =0.82, precision =0.83). The proposed method achieved comparable accuracy at a minimal time cost compared to manual reading. The proposed automated pipeline enables robust and time-efficient readings of ePVS from MR scans and demonstrates the importance of T2w MRI for ePVS detection and the potential benefits of using multimodal images. Furthermore, the model provides whole-brain maps of ePVS, enabling a better understanding of their clinical correlates compared to the clinical rating methods within only a couple of brain regions., Competing Interests: Declaration of interests The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Objective: To explore the relationship between heart rate variability (HRV), the brain distribution of enlarged perivascular space (EPVS), and cognitive impairment in patients with EPVS., Materials and Methods: The clinical and imaging data of 199 patients with EPVS were retrospectively analyzed. EPVS load in the basal ganglia (BG) and centrum semiovale (CS) regions were assessed using the Potter's method. Cognitive function was evaluated using the Montreal Cognitive Assessment Scale. A logistic regression model was used to analyze the relationship between HRV, the brain distribution of EPVS and cognitive function in patients with EPVS. A receiver operating characteristic curve was used to assess the predictive value of HRV for cognitive function in patients with EPVS., Results: Of the 199 patients, 27 and 42 presented with severe BG-EPVS and cognitive impairment, respectively. Significant differences were observed in the root mean square of successive differences of normal-normal (NN) intervals for period of interest (rMSSD), the percentage of adjacent NN intervals greater than 50 ms (PNN50), and the ratio of low-frequency power (LF) to high-frequency power (HF) between the mild and severe BG-EPVS groups ( P < 0.05). Patients who presented with and without cognitive impairment differed significantly in the standard deviation of NN intervals (SDNN), rMSSD, PNN50, total power, LF, and LF/HF ( P < 0.05). rMSSD (odds ratio [OR] 0.871, 95% confidence interval [CI] 0.768-0.988) and LF/HF (OR 3.854, 95% CI 1.196-12.419) were independent influencing factors of BG-EPVS, and rMSSD (OR 0.936, 95% CI 0.898-0.976) was an independent influencing factor of cognitive impairment in patients with EPVS. The optimal cut-off point was 0.312, with an area under the curve of 0.795 (95% CI 0.719-0.872) for predicting cognitive impairment in patients with EPVS by rMSSD., Conclusion: Reduced HRV is involved in the pathophysiological mechanisms of the formation and development of BG-EPVS and is associated with cognitive impairment in patients with EPVS, independent of CS-EPVS. For patients with HRV changes but without autonomic nervous system symptoms, positive intervention may slow the occurrence or progression of EPVS and cognitive impairment in patients with EPVS., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Zhou, Lu, Su, Liu, Chen, Zhang, Bai and Li.)

Background and Objective: Gait disturbances are common in the elderly and can lead to the loss of functional independence and even death. Enlarged perivascular space (EPVS) and motor performance may be related, but only few studies have explored this relationship. The aim of our study was to investigate the effects of both the severity and location of EPVS on movement disorders., Method: Two hundred and six participants aged between 45 and 85 years old with complete magnetic resonance imaging (MRI) data were included in our analysis. EPVS were divided into basal ganglia (BG) and centrum semiovale (CSO), and their grades were measured. Gait was assessed quantitatively using a 4-m walkway and TUG test as well as semi-quantitatively using the Tinetti and SPPB tests. The function of upper extremities was evaluated by 10-repeat pronation-supination, 10-repeat finger-tapping, and 10-repeat opening and closing of the hands., Results: Both high-grade EPVS, whether in BG and CSO, were independently correlated with gait parameters, the TUG time, Tinetti, and SPPB tests. The EPVS located in BG had a significant association with 10-repeat finger-tapping time (β = 0.231, P = 0.025) and a similar association was also observed between CSO-EPVS and 10-repeat pronation-supination time (β = 0.228, P = 0.014)., Conclusion: Our results indicated that EPVS was associated with gait disturbances, and a further investigation found that EPVS has an association with upper extremities disorder. EPVS should be considered as a potential target for delaying gait and upper extremities damage since CSVD can be prevented to some extent., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Hou, Yang, Li, Qin, Yang and Hu.)

Cerebral small vessel disease (CSVD) is a common cerebrovascular disease and an important cause of gait and balance disorders. Gait and balance disorders can further lead to an increased risk of falls and a decreased quality of life. CSVD can damage gait and balance function by affecting cognitive function or directly disrupting motor pathways, and different CSVD imaging features have different characteristics of gait and balance impairment. In this article, the correlation between different imaging features of sporadic CSVD and gait and balance disorders has been reviewed as follows, which can provide beneficial help for standardized management of CSVD., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Su, Yang, Wei and Zhao.)

Objective: FAM19A5 plays an essential role in the development and acute or chronic inflammation of the central nervous system. The present study aimed to explore the association between FAM19A5 and cerebral small vessel disease (cSVD)., Methods: A total of 344 recent small subcortical infarct (RSSI) patients and 265 healthy controls were included in this study. The difference in the FAM19A5 level between the two groups was compared and the correlation between FAM19A5 and cerebral infarction volume was analyzed. Also, the association between FAM19A5 and the total magnetic resonance imaging (MRI) burden with its imaging characteristics was explored. Moreover, the correspondence of FAM19A5 with the outcome was assessed via Δ National Institutes of Health Stroke Scale score (NIHSS) and the percentage of NIHSS improvement., Results: FAM19A5 was highly expressed in the RSSI group ( P  = 0.023), showing a positive correlation with cerebral infarction volume ( P  < 0.01). It was positively correlated with total MRI cSVD burden ( P  < 0.001) and reflected the severity of white matter hyperintensity (WMH) ( P  < 0.01) and enlarged perivascular space (EPVS) ( P  < 0.01), but did not show any association with cerebral microbleed (CMB) and lacune. Moreover, FAM19A5 suggested a larger Δ NIHSS ( P  = 0.021) and NIHSS improvement percentage ( P  = 0.007)., Conclusion: Serum FAM19A5 was increased in RSSI and positively correlated with the infarct volume. It also reflects the total MRI burden of cSVD, of which the imaging characteristics are positively correlated with WMH and EPVS. In addition, higher FAM19A5 levels reflect better outcomes in RSSI patients., Competing Interests: The authors declare there are no competing interests., (©2022 Hao et al.)

Recent interest in enlarged perivascular spaces (ePVS) in the brain, which can be visualized on MRI and appear isointense to cerebrospinal fluid on all sequence weightings, has resulted in the necessity of reliable algorithms for automated segmentation to allow for whole brain assessment of ePVS burden. However, several publicly available datasets do not contain sequences required for recently published algorithms. This prospective study presents a method for identification of enlarged perivascular spaces (ePVS) in white matter using 3T T 1 and FLAIR MR imaging (MAPS-T 1), making the algorithm accessible to groups with valuable sets of limited data. The approach was applied identically to two datasets: 1) a repeated measurement in a dementia-free aged human population (N = 14), and 2) an aged sample of multisite ADNI datasets (N = 30). ePVS segmentation was accomplished by a stepwise local homogeneity search of white matter-masked T 1 -weighted data, constrained by FLAIR hyperintensity, and further constrained by width, volume, and linearity measurements. Pearson's r was employed for statistical testing between visual (gold standard) assessment and repeated measures in cohort one. Visual ePVS counts were significantly correlated with MAPS-T 1 (r =.72, P <.0001). Correlations between repeated measurements in cohort one were significant for both visual and automated methods in the single visually-rated slice (MAPS-T 1 : r =.87, P <.0001, visual: (r =.86, P <.0001) and for whole brain assessment (MAPS-T 1 : r =.77, P =.001). Results from each cohort were manually inspected and found to have positive predictive values of 77.5% and 87.5%, respectively. The approach described in this report is an important tool for detailed assessment of ePVS burden in white matter on routinely acquired MRI sequences. • Enlarged perivascular spaces can be reliably segmented using only T1 and FLAIR MRI. • The positive predictive value of segmentation was 77 and 87% in two separate cohorts. • Perivascular spaces can be differentiated from lacunes and hyperintensities in WM. • Automated segmentation counts matched single slice visual ratings. • Automated segmentation counts were correlated across repeated measurements. [ABSTRACT FROM AUTHOR]

Objectives: Individual neuroimaging features of small vessel disease (SVD) have been reported to influence poststroke cognition. This study aimed to investigate the joint contribution and strategic distribution patterns of multiple types of SVD imaging features in poststroke cognitive impairment., Methods: We studied 145 first-ever ischaemic stroke patients with MRI and Montreal Cognitive Assessment (MoCA) examined at baseline. The local burdens of acute ischaemic lesion (AIL), white matter hyperintensity, lacune, enlarged perivascular space and cross-sectional atrophy were quantified and entered into support vector regression (SVR) models to associate with the global and domain scores of MoCA. The SVR models were optimised with feature selection through 10-fold cross-validations. The contribution of SVD features to MoCA scores was measured by the prediction accuracy in the corresponding SVR model after optimisation., Results: The combination of the neuroimaging features of SVD contributed much more to the MoCA deficits on top of AILs compared with individual SVD features, and the cognitive impact of different individual SVD features was generally similar. As identified by the optimal SVR models, the important SVD-affected regions were mainly located in the basal ganglia and white matter around it, although the specific regions varied for MoCA and its domains., Conclusions: Multiple types of SVD neuroimaging features jointly had a significant impact on global and domain cognitive functionings after stroke on top of AILs. The map of strategic cognitive-relevant regions of SVD features may help clinicians to understand their complementary impact on poststroke cognition., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Objective : Cerebral small vessel disease (SVD) is associated with increased mortality, disability and cognitive decline, depression in stroke survivors. This study examined the association between SVD burden, defined by a combination of SVD markers, and health-related quality of life (HRQoL) in acute ischemic stroke. Methods : Patients admitted with acute ischemic stroke of any etiology were prospectively screened between January 2010 to December 2014 and enrolled in the study if they met study entry criteria. HRQoL was evaluated with the 12-item Stroke Specific Quality of Life (SSQoL) at 3 months after the onset of acute ischemic stroke. SVD was ascertained by the presence of any of the SVD markers including lacune, white matter hyperintensities (WMH), cerebral microbleeds (CMB) and enlarged perivascular spaces (EPVS) in the basal ganglia or their combinations on brain magnetic resonance imaging (MRI). The presence of each individual marker scored 1 point and was summed up to generate an ordinal "SVD score" (0-4) capturing total SVD burden. Linear regression was used to determine the associations between SVD burden and HRQoL. Results : Of the743 acute ischemic stroke patients that formed he study sample (mean age: 66.3 ± 10.6 years; 41.7% women), 49.3%, 22.5%, 16.0%, 9.2% and 3.1% had SVD scores of 0, 1, 2, 3 and 4, respectively. After adjusting for demographic, clinical and imaging variables, the SVD score was independently associated with lower overall score of SSQoL ( B = -1.39, SE = 0.56, p = 0.01), and its domains of mobility ( B = -0.41, SE = 0.10, p < 0.001) and vision ( B = -0.12, SE = 0.06, p = 0.03). Acute infract volume ( B = -1.44, SE = 0.54, p = 0.01), functional independence ( B = 5.69, SE = 0.34, p < 0.001) and anxious ( B = -1.13, SE = 0.23, p < 0.001) and depressive symptoms ( B = -3.41, SE = 0.22, p < 0.001) were also the significant predictors of the overall score of SSQoL. Conclusion : The brain's SVD burden predicts lower HRQoL, predominantly in domains of mobility and vision at 3 months after acute ischemic stroke. The evaluation of SVD burden could facilitate developing individual treatment strategies.