Vascular cognitive impairment (VCI), a syndrome induced by cerebrovascular disease and its risk factors, has become a major public health challenge worldwide. Especially in the context of an increasingly aging population, its impact is becoming more significant. In recent years, research has gradually revealed the crucial role of chronic cerebral hypoperfusion (CCH) in the occurrence and development of VCI. CCH leads to long-term ischemia and hypoxia in brain tissue, which seriously threatens mitochondrial function and triggers a series of problems such as mitochondrial oxidative stress, calcium homeostasis disturbance, dynamic abnormalities, autophagy dysregulation, and impaired biogenesis. These issues are extensively involved in the pathological process of VCI. This article provides an overview of the correlation between mitochondrial dysfunction and VCI under CCH conditions, aiming to explore new directions for the treatment of VCI.
Objective To systematically review the efficacy of six cognitive interventions on cognitive function of patients with mild cognitive impairment after stroke. Methods The PubMed, EMbase, Cochrane Library, SinoMed, WanFang Data and CNKI databases were electronically searched to collect randomized controlled trials on the effects of non-drug interventions on the cognitive function of patients with mild cognitive impairment after stroke from inception to March 2023. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Network meta-analysis was then performed using Openbugs 3.2.3 and Stata 16.0 software. Results A total of 72 studies involving 4 962 patients were included. The results of network meta-analysis showed that the following five cognitive interventions improved the cognitive function of stroke patients with mild cognitive impairment: cognitive control intervention (SMD=−1.28, 95%CI −1.686 to −0.90, P<0.05) had the most significant effect on the improvement of cognitive function, followed by computer cognitive training (SMD=−1.02, 95%CI −1.51 to −0.53, P<0.05), virtual reality cognitive training (SMD=−1.20, 95%CI −1.78 to −0.62, P<0.05), non-invasive neural regulation (SMD=−1.09, 95%CI −1.58 to −0.60, P<0.05), and cognitive stimulation (SMD=−0.94, 95%CI −1.82 to −0.07, P<0.05). Conclusion Five cognitive interventions are effective in improving cognitive function for stroke patients with mild cognitive impairment, among which cognitive control intervention is the most effective. Due to the limited quantity and quality of the included studies, more high-quality studies are needed to verify the above conclusion.
We in the present research proposed a classification method that applied infomax independent component analysis (ICA) to respectively extract single modality features of structural magnetic resonance imaging (sMRI) and positron emission tomography (PET). And then we combined these two features by using a method of weight combination. We found that the present method was able to improve the accurate diagnosis of Alzheimer's disease (AD) and mild cognitive impairment (MCI). Compared AD to healthy controls (HC): the study achieved a classification accuracy of 93.75%, with a sensitivity of 100% and a specificity of 87.64%. Compared MCI to HC: classification accuracy was 89.35%, with a sensitivity of 81.85% and a specificity of 99.36%. The experimental results showed that the bi-modality method performed better than the individual modality in comparison to classification accuracy.
Alzheimer’s disease (AD) is a common and serious form of elderly dementia, but early detection and treatment of mild cognitive impairment can help slow down the progression of dementia. Recent studies have shown that there is a relationship between overall cognitive function and motor function and gait abnormalities. We recruited 302 cases from the Rehabilitation Hospital Affiliated to National Rehabilitation Aids Research Center and included 193 of them according to the screening criteria, including 137 patients with MCI and 56 healthy controls (HC). The gait parameters of the participants were collected during performing single-task (free walking) and dual-task (counting backwards from 100) using a wearable device. By taking gait parameters such as gait cycle, kinematics parameters, time-space parameters as the focus of the study, using recursive feature elimination (RFE) to select important features, and taking the subject’s MoCA score as the response variable, a machine learning model based on quantitative evaluation of cognitive level of gait features was established. The results showed that temporal and spatial parameters of toe-off and heel strike had important clinical significance as markers to evaluate cognitive level, indicating important clinical application value in preventing or delaying the occurrence of AD in the future.
ObjectivesTo systematically review the current status of cognitive impairment of the elderly in China.MethodsCNKI, VIP, CBM, WanFang Data, PubMed, EMbase and The Cochrane Library databases were electronically searched to collect studies on the current status of cognitive impairment of the elderly in China from January 1st, 2000 to March 12th, 2020. Two reviewers independently screened literature, extracted data and assessed risk of bias of included studies. Then, meta-analysis was performed by using Stata 14.1 software.ResultsA total of 126 studies involving 187 115 elderly were included. The results of meta-analysis showed that the cognitive impairment rate of the elderly in China was 22.0% (95%CI 20.4% to 23.6%). Subgroup analysis showed that the cognitive impairment rate was higher in females, seniors, low education level, residing in rural area, engaging in manual labor, no spouse, living alone, monthly income less than 1 000 yuan, and suffering from chronic diseases.ConclusionsCurrent evidence shows that the cognitive impairment rate of the elderly in China is 22%, which is relatively high in females, seniors, low education level, residing in rural area, engaging in manual labor, no spouse, living alone, low-income, and suffering from chronic diseases.
Objective To investigate the changes in mitochondrial morphology, structure and function in rats with severe intermittent hypoxia, as well as the effects of intermittent hypoxia and its severity on cognitive function. Methods A total of 18 rats were selected to construct a model of severe intermittent hypoxia, which were divided into a normal control group, an intermittent air control group, and a 5% intermittent hypoxia group for 8 weeks, with 6 rats in each group. The structural and functional changes of mitochondria in the hippocampal CA1 region were observed. A total of 30 rats were randomly divided into 5 groups: a normal control group, an intermittent air control group, a 5% intermittent hypoxia 4-week group, a 5% intermittent hypoxia 6-week group, and a 5% intermittent hypoxia 8-week group, with 6 rats in each group. The cognitive function of the rats in each group was evaluated by Morris water maze experiment. Results In the mitochondria of the hippocampal CA1 region of severely intermittent hypoxic rats, bilayer membranes or multilayer membranes were visible, the mitochondria were swollen, cristae were broken and vacuolated, and their respiratory function was significantly weakened, the membrane permeability was increased, and the membrane potential was reduced. In the Morris water maze, there was no significant difference in swimming speed between the rats. With the prolongation of intermittent hypoxia action time, the latency of finding the hidden platform in each group of rats increased significantly, and the residence time of the target quadrant decreased significantly. Conclusions Mitochondrial structure in the hippocampal CA1 region of the rat brain is destroyed during severe intermittent hypoxia, and dysfunction and cognitive impairment occur. With the prolongation of intermittent hypoxic injury, the degree of cognitive impairment worsens.
ObjectiveTo systematically review the detection rate of cognitive impairment in Chinese patients with type 2 diabetes mellitus (T2DM).MethodsPubMed, EMbase, The Cochrane Library, CBM, CNKI, WanFang Data and VIP databases were searched to collect studies on the detection rate of cognitive impairment in Chinese patients with T2DM from inception to January 20th, 2021. Two reviewers independently screened literature, extracted data and evaluated the risk of bias of included studies. Meta-analysis was then performed using Stata 12.0 software.ResultsA total of 27 studies involving 7 920 cases were included. Meta-analysis results showed that the total detection rate of cognitive impairment in Chinese patients with T2DM was 43.2% (95%CI 36.9% to 49.6%). The results of subgroup analysis showed that in T2DM patients, the detection rate of cognitive impairment in males was 42.4% (95%CI 34.4% to 50.4%), and that in females was 48.2% (95%CI 40.9% to 55.6%). The detection rate of cognitive impairment was 25.4% (95%CI 14.7% to 36.0%) in patients under the age of 60 years, and 47.0% (95%CI 30.0% to 64.0%) in patients aged 60 years or above. The detection rate of cognitive impairment among those with primary school education level or below was 67.1% (95%CI 48.9% to 85.3%). The detection rate of cognitive impairment was 37.1% (95%CI 27.3% to 46.8%) among those with education level of junior high school or above. The detection rate of cognitive impairment in patients with disease duration less than 10 years was 28.4% (95%CI 16.0% to 40.9%) and that in patients with disease duration more than 10 years was 50.6% (95%CI 33.2% to 68.0%). The detection rate of cognitive impairment in married individuals was 45.6% (95%CI 35.8% to 55.4%) and that in singles was 68.1% (95%CI 57.5% to 78.7%). The detection rate of cognitive impairment in smokers was 38.9% (95%CI 30.7% to 47.2%) and in non-smokers was 40.9% (95%CI 32.1% to 49.6%). The detection rate of cognitive impairment in drinkers was 35.6% (95%CI 27.3% to 44.0%) and that in non-drinkers was 41.8% (95%CI 32.2% to 51.4%).ConclusionsThe detection rate of cognitive impairment in Chinese patients with T2DM is high. Due to the quantity and quality of included studies, more high-quality studies are needed to verify the above conclusions.