Meta-analysis of the relationship between the number and location of perivascular spaces in the brain and cognitive function.

BACKGROUND: Cerebral perivascular spaces are part of the cerebral microvascular structure and play a role in lymphatic drainage and the removal of waste products from the brain. Relationships of the number and location of such spaces with cognition are unclear. OBJECTIVE: To meta-analyze available data on potential associations of severity and location of perivascular spaces with cognitive performance. METHODS: We searched PubMed, EMBASE, Web of Science and the Cochrane Central Registry of Controlled Trials for relevant studies published between January 2000 and July 2023. Performance on different cognitive domains was compared to the severity of perivascular spaces in different brain regions using comprehensive meta-analysis. When studies report unadjusted and adjusted means, we use adjusted means for meta-analysis. The study protocol is registered in the PROSPERO database (CRD42023443460). RESULTS: We meta-analyzed data from 26 cross-sectional studies and two longitudinal studies involving 7908 participants. In most studies perivascular spaces was using a visual rating scale. A higher number of basal ganglia perivascular spaces was linked to lower general intelligence and attention. Moreover, increased centrum semiovale perivascular spaces were associated with worse general intelligence, executive function, language, and memory. Conversely, higher hippocampus perivascular spaces were associated with enhanced memory and executive function. Subgroup analyses revealed variations in associations among different disease conditions. CONCLUSIONS: A higher quantity of perivascular spaces in the brain is correlated with impaired cognitive function. The location of these perivascular spaces and the underlying disease conditions may influence the specific cognitive domains that are affected. SYSTEMATIC REVIEW REGISTRATION: The study protocol has been registered in the PROSPERO database (CRD42023443460).

Transcutaneous electrical acupoint stimulation for postoperative nausea and vomiting in patients undergoing craniotomy: A randomized controlled trial.

BACKGROUND: The incidence of nausea and vomiting following craniotomy is high, and pericardium 6 (P6; Neiguan) acupoint stimulation is an important strategy for treating postoperative nausea and vomiting (PONV). Here, we aimed to evaluate the efficacy of transcutaneous electrical acupoint stimulation (TEAS) at P6 as an adjunct to antiemetic drugs to prevent PONV after craniotomy. MATERIALS AND METHODS: This randomized placebo-controlled trial enrolled 120 patients scheduled for craniotomy. The enrolled patients were randomly assigned to a TEAS or sham TEAS group. The incidence of PONV, pain score, and postoperative remedial treatment with antiemetics and analgesics at 0-2, 2-6, and 6-24 h after craniotomy were assessed. RESULTS: The patient characteristics did not significantly differ between the two groups (P > 0.05). During 0-2 and 6-24 h after craniotomy, the incidence of vomiting was not significantly different between the two groups (P > 0.05). During 2-6 h, the incidence of vomiting was higher in the sham TEAS group than in the TEAS group (29.3 % vs. 14.0 %, P = 0.047). During 0-2 and 2-6 h, the pain scores did not differ significantly between the two groups (P > 0.05). During 6-24 h after craniotomy, the pain score was significantly higher in the sham TEAS group than in the TEAS group (P = 0.001). The degree of nausea and proportion of patients requiring antiemetic drugs were not significantly different between the two groups in each period (P > 0.05). CONCLUSION: TEAS at P6 may reduce vomiting incidence and pain scores following craniotomy.

Research hotspots and trends of transcranial magnetic stimulation in Parkinson's disease: a bibliometric analysis.

Background: Transcranial magnetic stimulation (TMS), as a non-invasive neuromodulation technique, has been widely used in the treatment of Parkinson's disease (PD). The increasing application of TMS has promoted an increasing number of clinical studies. In this paper, a bibliometric analysis of existing studies was conducted to reveal current research hotspots and guide future research directions. Method: Relevant articles and reviews were obtained from the Science Citation Index Expanded of Web of Science Core Collection database. Data related to publications, countries, institutions, authors, journals, citations, and keywords in the studies included in the review were systematically analyzed using VOSviewer 1.6.18 and Citespace 6.2.4 software. Result: A total of 1,894 papers on the topic of TMS in PD between 1991 and 2022 were analyzed and visualized to identify research hotspots and trends in the field. The number of annual publications in this field of study has increased gradually over the past 30 years, with the number of annual publications peaking in 2022 (n = 150). In terms of publications and total citations, countries, institutions, and authors from North America and Western Europe were found to make significant contributions to the field. The current hotspot focuses on the effectiveness of TMS for PD in different stimulation modes or different stimulated brain regions. The keyword analysis indicates that the latest research is oriented to the mechanism study of TMS for motor symptoms in PD, and the non-motor symptoms are also receiving more attention. Conclusion: Our study offers insights into the current hotspots and emerging trends of TMS in the rehabilitation of PD. These findings may serve as a guide for future research and the application of TMS for PD.

Association between COVID-19 and myasthenia gravis (MG): A genetic correlation and Mendelian randomization study.

BACKGROUND: Observational studies have suggested an association between coronavirus disease 2019 (COVID-19) and myasthenia gravis (MG). Here, we aimed to estimate the genetic correlation and causal relationship between COVID-19 susceptibility, hospitalization, severity, and MG phenotypes using linkage disequilibrium score regression (LDSC) and Mendelian randomization (MR) approach. METHODS: Summary statistics of COVID-19 susceptibility, hospitalization, and severity were used as instrumental variables for exposure traits. Large-scale genome-wide association study (GWAS) data for MG were used as outcome traits. The inverse variance weighted approach was used for the main MR analysis, complemented by MR-Egger, weighted median, simple mode, and weighted mode methods. Sensitivity analysis was implemented using Cochran's Q test, MR-PRESSO method, and MR-Egger intercept test. RESULTS: LDSC analysis did not reveal any genetic correlation among COVID-19 susceptibility, hospitalization, severity, and MG phenotypes, including MG, early-onset MG, and late-onset MG (p > .05). Our MR analysis did not provide evidence supporting a causal effect of COVID-19 susceptibility, hospitalization, or severity on MG phenotypes (p > .05). Extensive sensitivity analysis strengthened the robustness and consistency of the MR estimates. CONCLUSION: Our study did not find evidence of a genetic correlation or causal relationship among COVID-19 susceptibility, hospitalization, severity, and MG. Future studies with more GWAS data are needed to evaluate the association between COVID-19 phenotypes and MG and its subgroups.

Association between dietary intake and risk of Parkinson's disease: cross-sectional analysis of survey data from NHANES 2007-2016.

Background: While dietary factors have shown an association with Parkinson's disease (PD), the available data remains a subject of ongoing debate and controversy. Aim: We sought to evaluate potential relationships between dietary consumption of nutrients and micronutrients and risk of PD in a large sample. Methods: Cross-sectional data were retrospectively analyzed for 10,651 adults aged 40-80 years that had been collected in the US between 2007 and 2016 as a component of the nationwide National Health and Nutrition Examination Survey. Aspects of dietary intake were compared between those who reported having specific PD medication regimens or not when they completed the survey, and potential associations between diet and risk of PD were explored using binomial logistic regression. We employed Propensity Score Matching (PSM) to minimize the impact of potential confounding factors, thus enhancing the reliability of the results. Additionally, subgroup analysis based on gender and age was conducted to investigate these relationships. Results: Higher dietary intake of iron was linked to greater PD risk [odds ratio (OR) 1.065, 95% confidence interval (CI) 1.019-1.114, p = 0.006], whereas risk decreased with higher intake of vitamin K (OR 0.999, 95% CI 0.998-1.000, p = 0.024) or vitamin C (OR 0.998, 95% CI 0.996-0.999, p = 0.039). Even after applying PSM, the connection between dietary iron intake and dietary vitamin C intake with PD risk remained substantial. Subgroup analysis results revealed a significant positive association between dietary intake of iron from food and the PD risk, which was evident among individuals under 60 years of age and among males. Conclusion: The intake of micronutrients can influence risk of PD, which should be verified and explored further in prospective samples with other dietary habits and ethnic backgrounds.