Objective:To investigate the correlation between the location and volume of cerebral microbleeds (CMBs) and lacunar infarction (LI) in patients with cerebral small vessel disease (CSVD).Methods:Participants from the CSVD cohort in the Department of Neurology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Medical School of Nanjing University from February 2017 to March 2019 were enrolled retrospectively. All participants underwent magnetic resonance imaging scans, standardized clinical assessment and diagnosis. AccuBrain, an automatic brain segmentation and quantification software developed by the Chinese University of Hong Kong, was used to quantitatively analyze the volume of CMBs and white matter hyperintensities (WMHs). Ordered multi-class logistic regression analysis was used to determine the independent influencing factors of LI, and then multiple linear regression analysis was used to investigate the correlation between the volume of deep or infratentorial CMBs (DI-CMBs) and the number of LI. Results:A total of 317 patients with CSVD were included in the analysis, including 214 (67.5%) in the non-LI group, 43 (13.6%) in the single LI group, and 60 (18.9%) in the multiple LI group. The comparison of the three groups showed that older age, male, smoking, drinking, history of previous stroke or transient ischemic attack (TIA), lower levels of high-density lipoprotein cholesterol, larger CMBs and WMHs volume, higher enlarged perivascular spaces (EPVS) grade might be the risk factors for LI. Ordinal multivariable logistic regression analysis showed that male (odds ratio [ OR] 2.058, 95% confidence interval [ CI] 1.084-3.909; P=0.027), previous stroke or TIA history ( OR 1.962, 95% CI 1.089-3.535; P=0.025), larger WMH volume ( OR 8.716, 95% CI 4.034-18.832; P<0.001), higher EPVS grade ( OR 1.915, 95% CI 1.292-2.839; P=0.001), larger DI-CMB volume ( OR 1.022, 95% CI 1.006-1.038; P=0.008) or more DI-CMB number ( OR 1.187, 95% CI 1.005-1.403; P=0.044) were the independent related factors of LI. Multiple linear regression analysis showed that there was a significant correlation between the volume of DI-CMB and the number of LI ( r=0.330, P<0.001). Conclusion:In patients with CSVD, there is a significant correlation between DI-CMBs and LI.

Traumatic acute subdural hematoma (ASDH) is often severe,and bridging vein rupture is one of the case mechanisms of ASDH.After traumatic ASDH,venous reflux disorder,cerebral ischemia,delayed bleeding in other parts of the brain,and intraoperative encephalocele are prone to occur.This article reviews the occurrence and development of ASDH and its relation with intracranial venous circulation.

Objective:To explore the alterations in functional connectivity density (FCD) resulted from mild cognitive impairment (MCI) and their correlations with cognitive scores in various cognitive domains in patients with Parkinson's disease (PD).Methods:Forty-three PD patients admitted to Department of Neurology, Sixth Affiliated Hospital of Nantong University from January 2022 to April 2024 were selected and divided into PD-MCI group (MoCA scores<26) and PD with normal cognition (PD-NC) group (MoCA scores≥26) according to Montreal Cognitive Assessment (MoCA). Another 23 middle-aged and elderly healthy volunteers (HC group) matched with PD patients in age, gender and education level were recruited at the same period. Resting-state functional MRI (rs-fMRI) data were collected and whole brain FCD was calculated. Differences of clinical data, whole brain FCD, and FCD in brain regions with significantly different FCD among the 3 groups were compared. Efficiency of FCD in brain regions with significantly different FCD between PD-MCI group and PD-NC group in differentially diagnosing PD-MCI and PD-NC was analyzed by receiver operating characteristic (ROC) curve. Pearson correlation was used to the analyze the correlations of FCD in brain regions with significantly different FCD with MoCA score and cognitive scores in various cognitive domains.Results:Among the 43 patients, 23 were into the PD-MCI group and 20 into the PD-NC group. PD-MCI group had significantly lower scores in the visuospatial and executive function, abstraction, and delayed memory cognitive domains than PD-NC group ( P<0.05). Brain regions with significantly different FCD among the 3 groups were the right parahippocampal gyrus, left gyrus rectus, right rolandic operculum, left middle occipital gyrus, right precentral gyrus, left middle frontal gyrus, and left medial superior frontal gyrus. Compared with the HC group, the PD-MCI group and PD-NC group had significantly increased FCD at the right parahippocampal gyrus, left gyrus rectus and right rolandic operculum, statistically decreased FCD at the right precentral gyrus, left middle frontal gyrus, and left medial superior frontal gyrus ( P<0.05). Compared with the HC group, the PD-MCI group had significantly increased FCD at the left middle occipital gyrus ( P<0.05). Compared with the PD-NC group, the PD-MCI group had significantly decreased FCD at the right parahippocampal gyrus, and statistically increased FCD at the left middle occipital gyrus and left middle frontal gyrus ( P<0.05). Area under ROC curve (AUC) of FCD in brain regions with significantly different FCD in discriminating PD-MCI and PD-NC was 0.878, with sensitivity of 90.0% and specificity of 91.3%. FCD at right parahippocampal gyrus, left middle occipital gyrus and left middle frontal gyrus was negatively correlated with MoCA score ( P<0.05); FCD at right parahippocampal gyrus was positively correlated with cognitive scores in the visuospatial and executive function, and delayed memory domains ( P<0.05); FCD at left middle occipital gyrus was negatively correlated with cognitive scores in the executive function and visual-spatial skills, and abstraction domains ( P<0.05); FCD at the left medial frontal gyrus was negatively correlated with cognitive scores in the visuospatial and executive function, abstraction and delayed memory domains ( P<0.05). Conclusions:Abnormal FCD can be noted in some brain regions of PD patients, enjoying differences between PD-MCI patients and PD-NC patients. Combined FCD in brain regions with significantly different FCD has high value in differentially diagnosing PD-MCI and PD-NC, and FCD in brain regions with significantly different FCD is correlated with cognitive function changes in PD patients.