Background and Purpose. The manifestations of motor and nonmotor dysfunctions in Parkinson’s disease (PD), which are intimately connected, have been shown to reduce quality of life (QoL). It has been demonstrated that yoga could benefit PD patients. However, there was no consensus on the impact of yoga on PD. This meta-analysis is aimed at investigating the effects of yoga intervention on motor function, nonmotor function, and QoL in patients with PD. Methods. A meta-analysis was conducted by systematically searching PubMed, Embase, and Cochrane Library databases till August 2020 for studies published in English. The reference lists of eligible studies were also searched. The motor symptoms (UPDRS-Part III), balance function (BBS and BESTest), functional mobility (TUG), anxiety (HADS and BAI), depression (HADS and BDI), and the quality of life (PDQ-39 and PDQ-8) were the primary evaluation indexes. Results. Ten studies including 359 participants were included in this meta-analysis. The pooled results showed significant difference between the yoga training group and the control group. Patients in the yoga training group had better functional outcomes in terms of motor status ( MD = − 5.64 ; 95% CI, -8.57 to -2.7), balance function ( SMD = 0.42 ; 95% CI, 0.08 to 0.77), functional mobility ( MD = − 1.71 ; 95% CI, -2.58 to -0.84), anxiety scale scores ( SMD = − 0.72 ; 95% CI, -1.01 to -0.43), depression scale scores ( SMD = − 0.92 ; 95% CI, -1.22 to -0.62), and QoL ( SMD = − 0.54 ; 95% CI, -0.97 to -0.11). Conclusion. Our pooled results showed the benefits of yoga in improving motor function, balance, functional mobility, reducing anxiety and depression, and increasing QoL in PD patients.

ObjectivesCollateral status (CS) is a crucial determinant of outcome in patients with ischemic stroke. We aimed to test whether the cerebral blood volume (CBV) and cerebral blood flow (CBF) based on computed tomography perfusion (CTP) measurements can quantitatively evaluate CS and explore the predictive ability of CTP parameters in determining clinical outcomes in patients with MCA severe stenosis or occlusion presenting beyond 24 h.Materials and methodsIn this retrospective study, data obtained from September 2018 to March 2022 in consecutive stroke patients caused by isolated middle cerebral artery severe stenosis or occlusion were reviewed within 24–72 h after onset. Correlation between the collateral score systems assessed with CT angiography (CTA) and CTP parameters was calculated using the Spearman correlation. The optimal threshold of the CBV ratio for predicting a good outcome was determined using receiver operating characteristic curve (ROC) analysis.ResultsA total of 69 patients met inclusion criteria. Both the CBV ratio and the CBF ratio had significant correlation with collateral score systems assessed with CTA [CBV ratio and Tan score: rs = 0.702, P < 0.0001; CBV ratio and regional leptomeningeal collateral (rLMC) score: rs = 0.705, P < 0.0001; CBV ratio and Miteff score: rs = 0.625, P < 0.0001. CBF ratio and Tan score: rs= 0.671, P < 0.0001; CBF ratio and rLMC score: rs = 0.715, P < 0.0001; CBF ratio and Miteff score: rs = 0.535, P < 0.0001]. ROC analysis revealed the CBV ratio performed better than the qualitative collateral assessments and the CBF ratio in the prediction of a favorable 90-day modified Rankin scale score. The CBV ratio was a useful parameter that predicted a good functional outcome [area under the curve (AUC), 0.922; 95% CI, 0.862 ± 0.982].ConclusionsIn late time window stroke patients, the CBV and CBF ratio on CTP may be valuable parameters for quantitatively revealing the collateral status after stroke. In addition, the CBV ratio was the predictor of clinical outcomes in patients with MCA severe stenosis or occlusion.

Objective: To investigate the changes in CT perfusion between symptomatic and asymptomatic patients with unilateral middle cerebral artery severe stenosis or occlusion. Methods: A total of 64 consecutive patients with unilateral middle cerebral artery severe stenosis or occlusion admitted to the First Affiliated Hospital of Xinxiang Medical College from January 2019 to March 2022 were retrospectively analyzed and divided into the symptomatic group (n=33), and the asymptomatic group (n=31). Clinical data of the two groups were collected. Multivariate logistic regression analysis was performed to analyze the factors of symptomatic and asymptomatic MCA stenosis. A t-test was performed to compare the differences in cerebral perfusion parameters between the two groups. Results: Multivariate logistic regression analysis indicated that glycosylated hemoglobin levels and high-density lipoprotein cholesterol levels were associated with the development of asymptomatic MCA severe stenosis or occlusion (odds ratio =1.591 and 0.04, respectively). There were significant differences in CBV, MTT, and TTP between symptomatic and asymptomatic groups (P<0.05). The CBF of the affected side in the symptomatic group was lower than that of the unaffected side (P<0.05), whereas the asymptomatic group in CBF was not. Compared with the asymptomatic group, the CBF, MTT, and TTP of the affected side were significantly different (P<0.05). In contrast, the cerebral perfusion parameters of the unaffected side were not significantly different (P>0.05). Conclusion: The use of CT perfusion imaging to analyze the alterations in cerebral perfusion parameters in patients with symptomatic and asymptomatic MCA severe stenosis or occlusion was helpful in clinical diagnosis and selecting treatment strategies and judging the development of the disease.