Although statins have been associated with increased risk of spontaneous intracerebral hemorrhage, their relationship with cerebral microbleeds (CMBs) formation is poorly understood. We systematically reviewed previously published studies reporting on the association between CMBs presence and current statin use. We performed a systematic search in MEDLINE and SCOPUS databases on October 24, 2019 to identify all cohorts from randomized-controlled clinical trials or observational studies reporting on CMB prevalence and statin use. CX-5461 nmr We extracted cross-sectional data on CMBs presence, as provided by each study, in association to the history of current statin use. Random effects model was used to calculate the pooled estimates. We included 7 studies (n = 3734 participants) unselected general population [n = 1965], ischemic stroke [n = 849], hemorrhagic stroke [n = 252] and patients with hypertension over the age of 60 [n = 668]. Statin use was not associated with CMBs presence in either unadjusted (OR = 1.15, 95%CI 0.76-1.74) or adjusted analyses (OR = 1.09, 95%CI 0.64-1.86). Statin use was more strongly related to lobar CMB presence (OR = 2.01, 95%CI 1.48-2.72) in unadjusted analysis. The effect size of this association was consistent, but no longer statistically significant in adjusted analysis that was confined to two eligible studies (OR = 2.26, 95%CI 0.86-5.91). Except for the analysis on the unadjusted probability of lobar CMBs presence, considerable heterogeneity was present in all other analyses (I2 > 60%). Our findings suggest that statin treatment seems not to be associated with CMBs overall, but may increase the risk of lobar CMB formation. This hypothesis deserves further investigation within magnetic resonance imaging ancillary studies of randomized trials.Cognitive impairment (CI) is a frequent complication affecting people with multiple sclerosis (MS). The causes of CI in MS are not fully understood. Besides MRI measures, few other biomarkers exist to help us predict the development of CI and understand its biology. MicroRNAs (miRs) are relatively stable, non-coding RNA molecules about 22 nucleotides in length that can serve as biomarkers and possible therapeutic targets in several autoimmune and neurodegenerative diseases, including the dementias. In this review, we identify dysregulated miRs in MS that overlap with dysregulated miRs in cognitive disorders and dementia and explore how these overlapping miRs play a role in CI in MS. MiR-15, miR-21, miR-128, miR-132, miR-138, miR-142, miR-146a, miR-155, miR-181, miR-572, and let-7 are known to contribute to various forms of dementia and show abnormal expression in MS. These overlapping miRs are involved in pathways related to apoptosis, neuroinflammation, glutamate toxicity, astrocyte activation, microglial burst activity, synaptic dysfunction, and remyelination. The mechanisms of action suggest that these miRs may be related to CI in MS. From our review, we also delineated miRs that could be neuroprotective in MS, namely miR-23a, miR-219, miR-214, and miR-22. Further studies can help clarify if these miRs are responsible for CI in MS, leading to potential therapeutic targets.

For surveillance projects to be successful, it is important to accurately diagnose all patients, without overlooking any cases. Here, we investigated the present clinical diagnostic accuracy for prion diseases in Japan.

We analyzed volumes of the “Annual of the Pathological Autopsy Cases in Japan”, which reported details on 130,105 autopsies conducted from 2007 to 2016 throughout Japan.

The clinical diagnosis of patients with prion disease had a specificity of 91.3% and a sensitivity of 96.3%. The autopsy rates were estimated as 17.8% for patients with clinically suspected prion disease and as 1.8% for the entire population.

Despite the good accuracy of clinical diagnoses of prion diseases, a calculated 78.4 patients with prion disease were expected to have gone undiagnosed during the 10-year study period. However, autopsy is estimated to reveal a maximum of only 13.8 of these clinically undiagnosed patients because of the low autopsy rate. The overall autopsy rate, irrespective of any specific disorder, must increase for effective surveillance projects of disease incidence to be conducted.

Despite the good accuracy of clinical diagnoses of prion diseases, a calculated 78.4 patients with prion disease were expected to have gone undiagnosed during the 10-year study period. However, autopsy is estimated to reveal a maximum of only 13.8 of these clinically undiagnosed patients because of the low autopsy rate. The overall autopsy rate, irrespective of any specific disorder, must increase for effective surveillance projects of disease incidence to be conducted.Single subject VBM (SS-VBM), has been used as an alternative tool to standard VBM for single case studies. However, it has the disadvantage of producing an excessively large number of false positive detections. In this study we propose a machine learning technique widely used for automated data classification, namely Support Vector Machine (SVM), to refine the findings produced by SS-VBM. A controlled set of experiments was conducted to evaluate the proposed approach using three-dimensional T1 MRI scans from control subjects collected from the publicly available IXI dataset. The scans were artificially atrophied at different locations and with different sizes to mimic the behavior of neurological disorders. Results empirically demonstrated that the proposed method is able to significantly reduce the amount of false positive clusters (p  0.05). This evidence was observed to be consistent for different atrophied areas and sizes of atrophies. This approach could be potentially be applied to alleviate the intensive manual analysis that radiologists and clinicians have to perform to filter out miss-detections of SS-VBM, increasing its usability for image reading.The optic chiasm is an essential anatomical structure in neuro-ophthalmology. The systematization of the visual pathways results from the arrangement of the retinal ganglion cell fibers. It explains the signs of chiasmal syndrome. A good knowledge of the anatomy permits to correlate visual field defects with imaging results. It is now possible to map the organization of the ganglion cell fibers within the chiasm. Their hemidecussation allows for stereoscopic vision in humans. The causes of chiasmal syndrome are multiple, but tumors and compressive causes predominate. The proximity of the pituitary region to the chiasm accounts for the frequency of chiasmal syndrome, which involves ophthalmologists not only through dysfunction of the visual pathway, which may be the presenting sign, but also through possible complications throughout the course of the disease. This review aims to synthesize the embryology, anatomy and principles of work-up for chiasmal syndrome as well as its many possible causes.