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Objective:To investigate the correlation between paroxysmal slow-wave events (PSWEs) and cerebral small vessel disease (CSVD) and CSVD-related cognitive impairment.Methods:Patients with CSVD visited Weihai Municipal Hospital from March 2021 to April 2022 were included, and sex- and age-matched healthy controls were recruited for cross-sectional analysis. The patients with CSVD were further divided into cognitive impairment group and non-cognitive impairment group. The self-developed Python script was used to detect the PSWE parameters in electroencephalogram records. Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE) were used to evaluate cognitive function. Multivariate logistic regression analysis was used to determine whether PWSE parameters were the independent related factors of CSVD and CSVD-related cognitive impairment. Multiple linear regression analysis was used to determine the correlation between the PSWE parameters and overall cognitive function (MoCA total score) in patients with CSVD. Results:A total of 76 patients with CSVD (including 41 patients with cognitive impairment and 35 patients without cognitive impairment) and 45 healthy controls were included. Compared with the healthy control group, PWSEs in the F3 (left frontal area) and O1 (left occipital area) regions of the CSVD group occurred more frequently and lasted longer (all P<0.05). Multivariate logistic regression analysis showed that the frequency (odds ratio [ OR] 1.080, 95% confidence interval [ CI] 1.023-1.140; P=0.005) and duration ( OR 1.006, 95% CI 1.001-1.011; P=0.023) of PWSEs in the left frontal area, as well as the frequency ( OR 1.052, 95% CI 1.010-1.095; P=0.014) and duration ( OR 1.003, 95% CI 1.000-1.006; P=0.028) of PWSEs in the left occipital region were the independent related factors for CSVD. The frequency ( OR 1.106, 95% CI 1.033-1.183; P=0.004) and duration ( OR1.010, 95% CI 1.003-1.017; P=0.004) of PWSEs in the left frontal area were the independent risk factors for cognitive impairment in patients with CSVD. Multiple linear regression analysis showed that the frequency ( β= –0.242, P=0.045) and duration ( β= –0.235, P=0.046) of PWSEs in the left frontal region were negatively correlated with the overall cognitive function score in patients with CSVD. Conclusions:The frequency and duration of PSWEs in some brain regions of patients with CSVD increase, and there is an independent correlation between PSWEs and cognitive impairment, suggesting that the damage of blood-brain barrier may participate in the pathogenesis of cognitive impairment in patients with CSVD.
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Objective:To investigate the effect of the possibility of sleep-disordered breathing (SDB) as assessed by the four-variable score on the platelet function and the risk of stroke recurrence in patients with acute ischemic stroke.Methods:Patients with acute ischemic stroke admitted to the Department of Neurology, Weihai Municipal Hospital from January 2020 to January 2021 were enrolled prospectively. Main inclusion criteria: admission within 24 h of onset; National Institutes of Health Stroke Scale score ≤3; Receiving aspirin + clopidogrel dual antiplatelet therapy. All patients were divided into a high possibility group and a low possibility group of SDB according to the four-variable score. 7±2 d after dual antiplatelet therapy, PL-12 multi-parameter platelet function analyzer was used to detect the maximum aggregation rate (MAR). The patients were followed up for 6 months after discharge and the recurrence of ischemic stroke was observed. The mediating effect model was established with the high possibility of SDB as the independent variable, MAR as the intermediary variable and stroke recurrence as the dependent variable. Firstly, MAR as the dependent variable and high probability of SDB as the independent variable were analyzed by linear regression; then, a binary logistic regression analysis was performed with ischemic stroke recurrence as the dependent variable and the high probability of SDB and MAR as independent variables. Results:A total of 213 patients were enrolled in the study. The average age of the patients was 62.70 ± 10.04 years old. There were 146 male (68.5%) and 121 patients (56.8%) were in the high possibility group (56.8%). During the follow-up period, 24 patients (11.3%) had stroke recurrence. Univariate analysis showed that arachidonic acid (AA) induced MAR (MAR-AA) and adenosine diphosphate (ADP) induced the MAR (MAR-ADP) in the high possibility group of SDB were significantly higher than those in the low possibility group (all P<0.05); MAR-AA and MAR-ADP in the recurrent group were significantly higher than those in the non-recurrent group (all P<0.05), and the proportion of high possibility of SDB in the recurrent group was significantly higher ( P=0.008). Binary logistic regression analysis showed that homocysteine (odds ratio 1.132, 95% confidence interval 1.048-1.223; P=0.002) and having high possibility of SDB (odds ratio 6.351, 95% confidence interval 1.134-35.566; P=0.035) were the independent risk factors for stroke recurrence in patients treated with dual antiplatelet therapy. Intermediary effect analysis showed that MAR had a significant intermediary effect on the risk of stroke recurrence in patients with high probability of SDB. Conclusion:The MAR and stroke recurrence rates in the high possibility group of SDB were significantly higher than those in the low possibility group, and its stroke risk was probably mediated by platelet hyperreactivity.
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The eukaryotic genome is folded into higher-order conformation accompanied with constrained dynamics for coordinated genome functions. However, the molecular machinery underlying these hierarchically organized three-dimensional (3D) chromatin architecture and dynamics remains poorly understood. Here by combining imaging and sequencing, we studied the role of lamin B1 in chromatin architecture and dynamics. We found that lamin B1 depletion leads to detachment of lamina-associated domains (LADs) from the nuclear periphery accompanied with global chromatin redistribution and decompaction. Consequently, the inter-chromosomal as well as inter-compartment interactions are increased, but the structure of topologically associating domains (TADs) is not affected. Using live-cell genomic loci tracking, we further proved that depletion of lamin B1 leads to increased chromatin dynamics, owing to chromatin decompaction and redistribution toward nucleoplasm. Taken together, our data suggest that lamin B1 and chromatin interactions at the nuclear periphery promote LAD maintenance, chromatin compaction, genomic compartmentalization into chromosome territories and A/B compartments and confine chromatin dynamics, supporting their crucial roles in chromatin higher-order structure and chromatin dynamics.
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Humans , Chromatin , Chromosomes , Genome , Lamin Type B/geneticsABSTRACT
Objective:To investigate the correlation between heart rate variability (HRV) and early neurological deterioration (END) and poor outcomes in patients with branch atheromatous disease (BAD).Methods:Patients with BAD admitted to the Department of Neurology, Weihai Municipal Hospital from September 2020 to September 2022 were enrolled prospectively. END was defined as an increase of ≥2 points in the total score of the National Institutes of Health Stroke scale (NIHSS) or an increase of ≥1 in motor item score within 72 h of admission compared with the baseline. Poor outcome was defined as the score of the modified Rankin Scale >2 at 6 months after the onset. Multivariate logistic regression analysis was used to determine whether HRV parameters were the independent influencing factors of END and poor outcomes in patients with BAD. Results:A total of 117 patients with BAD were enrolled, including 76 males (65.0%), aged 64.27±6.95 years. Thirty-eight patients (32.4%) had END, and 21 (17.9%) had poor outcomes. Percentage of the number of pairs of adjacent R-R intervals differentiating by more than 50 ms (pNN50), number of adjacent R-R intervals differentiating by more than 50 ms (NN50), power in low frequency range (LF) and power in high frequency range (HF) in the END group were significantly lower than those in the non-END group, and the LF/HF ratio was significantly higher than the non-END group (all P<0.05). The standard deviation of the R-R interval (SDNN), standard deviation of the average of R-R intervals in all 5-min segments (SDANN), and HF in the poor outcome group were significantly lower than those in the good outcome group. Multivariate logistic regression analysis showed that HF (odds ratio [ OR] 0.994, 95% confidence interval [ CI] 0.991-0.998; P<0.001) was an independent protective factor of END in patients with BAD, and LF/HF ratio ( OR 1.455, 95% CI 1.056-2.005; P=0.022) was an independent risk factor for END in patients with BAD; SDANN ( OR 0.997, 95% CI 0.993-0.999; P=0.023) was an independent protective factor of good outcomes in patients with BAD. Conclusion:HF and LF/HF ratios are the independent influencing factors of END in patients with BAD, and SDANN is an independent influencing factor of the poor outcomes in patients with BAD, suggesting that autonomic dysfunction is involved in the pathophysiological mechanism of END and poor outcomes in patients with BAD.
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Objective:To investigate whether the combination of conventional axial and thin-layer sagittal diffusion-weighted imaging (DWI) can improve the detection ability of acute brainstem infarction (ABI).Methods:Patients with ABI diagnosed clinically and admitted to Weihai Municipal Hospital, Shandong University from January 2019 to July 2020 were enrolled retrospectively. All patients underwent conventional axial and thin-layer sagittal DWI examination after admission. Those who could not make a definite diagnosis were confirmed by DWI reexamination before discharge. The numbers of positive and negative cases of brainstem infarction at different sites detected by conventional axial and conventional axial+ thin-layer sagittal DWI were recorded.Results:A total of 65 patients with ABI were included. Conventional axial DWI was positive in 51 patients (78.5%) and was negative in 14 (21.5%); conventional axial+ thin-layer sagittal DWI were positive in 60 patients (92.3%) and was negative in 5 (7.7%). In 8 patients with medullary infarction, only 4 (50.0%) were positive on conventional axial DWI, and 6 (75.0%) were positive on conventional axial+ thin-layer sagittal DWI; in 50 patients with pontine infarction, only 44 (88.0%) were positive on conventional axial DWI, and 48 (96.0%) were positive on conventional axial+ thin-layer sagittal DWI; in 4 patients with midbrain infarction, only 1 (25.0%) was positive on conventional axial DWI, and 3 (75.0%) were positive on conventional axial+ thin-layer sagittal DWI; in 3 patients with pontine+ midbrain infarction, only 2 (66.7%) were positive on conventional axial DWI, and 3 (100.0%) were positive on conventional axial DWI+ thin-layer sagittal DWI. The detection rate of ABI on conventional axial+ thin-layer sagittal DWI was significantly higher than that on conventional axial DWI, and difference was statistically significant (92.3% vs. 78.5%; χ2=4.993, P=0.026). Conclusion:The combination of conventional axial and thin-layer sagittal DWI improved the detection rate of ABI. For ABI patients whose axial DWI did not find lesions or whose diagnosis was not clear, thin-layer sagittal DWI should be added.
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Objective:To investigate the correlation between heart rate variability (HRV) and cognitive impairment in patients with obstructive sleep apnea (OSA).Methods:Patients received polysomnography in Weihai Municipal Hospital from June 2019 to November 2020 were enrolled as the subjects of cross-sectional analysis. According to the Montreal Cognitive Assessment score, the patients with OSA were divided into a cognitive impairment group and a non-cognitive impairment group. Multivariate logistic regression analysis was used to determine whether HRV parameters were the independent influencing factors of cognitive impairment in patients with OSA. Multiple linear regression analysis was used to determine the independent correlation between HRV parameters and overall cognition as well as each cognitive domain in patients with OSA. Results:A total of 115 patients with OSA were included, including 80 males (69.6%), aged 58.25±9.88 years. Among them, there were 61 in the cognitive impairment group (53.0%) and 54 in the non-cognitive impairment group (47.0%). The standard deviation of the R-R interval in normal sinus beats (SDNN), the square root of the mean of the sum of the squares of the difference between adjacent NN intervals (RMSSD), the percentage of the number of pairs of adjacent R-R intervals differing by more than 50 ms (pNN50) and the power in high-frequency range (HF; 0.15-0.40 Hz) in the cognitive impairment group were significantly lower than those in non-cognitive impairment group (all P<0.05). Multivariate logistic regression analysis showed that SDNN (odds ratio [ OR] 0.551, 95% confidence interval [ CI] 0.380-0.798; P=0.002), RMSSD ( OR 0.516, 95% CI 0.342-0.779; P=0.002), pNN50 ( OR 0.900, 95% CI 0.834-0.971; P=0.006), LF ( OR 0.821, 95% CI 0.687-0.982; P=0.030) and HF ( OR 0.687, 95% CI 0.525-0.899; P=0.006) were the independent protective factors of cognitive impairment in patients with OSA. Multiple linear regression analysis showed that SDNN ( β=0.208, P=0.023), RMSSD ( β=0.228, P=0.011), pNN50 ( β=0.186, P=0.040), HF ( β=0.235, P=0.010) is independently correlated with overall cognitive function in patients with OSA. Conclusion:The decline of HRV parameters SDNN, RMSSD, pNN50 and HF is independently correlated with cognitive impairment in patients with OSA, suggesting that the decline of vagus nerve function may be involved in the mechanism of cognitive impairment in patients with OSA.
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Objective:To investigate the correlation between heart rate variability (HRV) and cerebral small vessel disease (CSVD) in patients with obstructive sleep apnea (OSA).Methods:Patients with OSA received polysomnography and brain MRI examination in Weihai Municipal Hospital from July 2019 to July 2020 were consecutively collected for cross-sectional analysis. The 5 min HRV before sleep (awake state) was analyzed. The patients were divided into CSVD group and non-CSVD group according to the overall burden of CSVD. The demographic data, clinical data, polysomnography parameters and HRV time domain and frequency domain parameters were compared between the two groups. Multivariate logistic regression analysis was used to determine the correlation between the HRV parameters and CSVD in patients with OSA. Results:A total of 100 patients with OSA were enrolled, including 79 males (79.0%), aged 52.36±8.66 years, apnea hypopnea index (AHI) 38.70±24.65/h. There were 46 patients (46.0%) in the CSVD group and 54 (54.0%) in the non-CSVD group. Univariate analysis showed that there were significant differences in age, AHI, oxygen desaturation index (ODI), percentage of blood oxygen saturation <90% in total sleep time (T90), square root of the mean of the sum of the squares of the difference between adjacent RR intervals (RMSSD), power in high frequency range (HF), power in low frequency range (LF) to HF ratio (LF/HF) between the CSVD group and the non-CSVD group (all P<0.05). Multivariate logistic regression analysis showed that after adjusting for age, body mass index, systolic blood pressure, AHI, ODI, and T90, RMSSD (odds ratio 0.625, 95% confidence interval 0.389-0.981; P=0.041) and LF/HF ratio (odds ratio 1.429, 95% confidence interval 1.011-2.020; P=0.043) were the independent influencing factors of CSVD in patients with OSA. Conclusion:Increased LF/HF and decreased RMSSD in OSA patients with CSVD suggest that the increased sympathetic excitability and decreased vagus function, which may be one of the pathophysiological mechanisms of occurring CSVD in patients with OSA.
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Increasing the amplitude of event-related potential is one of the key methods to improve the accuracy of the potential-based brain-computer interface, e.g., P300-based brain-computer interface. The brain-computer interface systems often use symbols or controlled objects as vision stimuli, but what visual stimuli can induce more obvious event-related potential is still unknown. This paper designed three kinds of visual stimuli, i.e., a square, an arrow, and a robot attached with an arrow, to analyze the influence of concreteness degree of the graph on the N200 and P300 potentials, and applied a support vector machine to compare the performance of the brain-computer interface under different stimuli. The results showed that, compared with the square, the robot attached with arrow and the arrow both induced larger N200 potential ( = 1.6 × 10 , = 4.2 × 10 ) and longer P300 potential ( = 2.2 × 10 , = 1.9 × 10 ) in the frontal area, but the amplitude under the arrow condition is smaller than the one under the robot attached with arrow condition. The robot attached with arrow increased the N200 potential amplitude of the square and arrow from 3.12 μV and 5.19 μV to 7.21 μV ( = 1.6 × 10 , = 8.9 × 10 ), and improved the accuracy rate from 59.95%, 61.67% to 74.45% ( = 2.1 × 10 , = 1.6 × 10 ), and the information transfer rate from 35.00 bits/min, 35.98 bits/min to 56.71 bits/min ( = 2.6 × 10 , = 1.6 × 10 ). This study shows that the concreteness of graphics could affect the N200 potential and the P300 potential. The abstract symbol could represent the meaning and evoke potentials, but the information contained in the concrete robot attached with an arrow is more correlated with the human experience, which is helpful to improve the amplitude. The results may provide new sight in modifying the stimulus interface of the brain-computer interface.
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Objective@#To investigate the impact of obstructive sleep apnea hypopnea syndrome (OSAHS) on platelet function in patients with ischemic stroke.@*Methods@#Patients with ischemic stroke treated in the Department of Neurology, Weihai Municipal Hospital from January 2017 to November 2017 were collected prospectively. The presence or absence of OSAHS was determined by polysomnography. After oral administration of aspirin enteric coated tablets for 7±1 d, the maximum aggregation ratio (MAR) induced by arachidonic acid (AA) was determined by PL-12 Platelet Function Analyzer. MAR-AA ≥50% was defined as platelet hyperresponsiveness. Multivariate logistic regression analysis was used to evaluate the risk factors for platelet hyperresponsiveness in patients with ischemic stroke, and multiple linear regression analysis was used to determine the correlation between sleep parameters reflecting the severity of sleep apnea and MAR-AA.@*Results@#Among the 124 patients with ischemic stroke, 58 (46.77%) complicated with OSAHS, 66 (53.23%) without complicated with OSAHS; 84 (67.74%) had platelet hyperresponsiveness, and 40 (32.26%) had not platelet hyperresponsiveness. MAR-AA in the complicated OSAHS group was significantly higher than that in the non-complicated OSAHS group (48.98%±20.61% vs. 26.45%±15.15%; t=-6.858, P<0.001). Multivariate logistic regression analysis showed that OSAHS was an independent risk factor for platelet hyperresponsiveness in patients with ischemic stroke (odds ratio 9.551, 95% confidence interval 3.051-29.905; P<0.001). Multiple linear regression analysis showed that there was a significant linear relationship between apnea hypopnea index and MAR-AA (β=0.499, P<0.001).@*Conclusions@#OSAHS is an independent risk factor for platelet hyperresponsiveness in patients with ischemic stroke. Apnea hypopnea index is significantly correlated with MAR-AA.
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Individual differences of P300 potentials lead to that a large amount of training data must be collected to construct pattern recognition models in P300-based brain-computer interface system, which may cause subjects' fatigue and degrade the system performance. TrAdaBoost is a method that transfers the knowledge from source area to target area, which improves learning effect in the target area. Our research purposed a TrAdaBoost-based linear discriminant analysis and a TrAdaBoost-based support vector machine to recognize the P300 potentials across multiple subjects. This method first trains two kinds of classifiers separately by using the data deriving from a small amount of data from same subject and a large amount of data from different subjects. Then it combines all the classifiers with different weights. Compared with traditional training methods that use only a small amount of data from same subject or mixed different subjects' data to directly train, our algorithm improved the accuracies by 19.56% and 22.25% respectively, and improved the information transfer rate of 14.69 bits/min and 15.76 bits/min respectively. The results indicate that the TrAdaBoost-based method has the potential to enhance the generalization ability of brain-computer interface on the individual differences.