The Neurological Field Continues to Update
In recent years, there has been tremendous growth in new diagnostic information, pharmacological and neurosurgical treatments for neurological disease, as well as a greater understanding of brain function. Our news section informs you of ongoing topics with a potential worldwide influence. In addition to this section, we inform through our social media platforms to keep connect with our member more easier than before.
Our subcategories on News include:
- World Federation of Neurology News
We inform you on our projects and activities, the journal updates, the WFN committee update and more... - Neurology News
Update on interesting news and current activities with worldwide scope. From the history of neurology through the modern technology that shape neurology nowadays.
World Federation of Neurology News
21 Mar 2025
World Federation of Neurology Awards 2025: Call for Nominations
12 Mar 2025
WFN Digital Neurology Updates 2024 Now Available On-Demand
10 Mar 2025
Journal of the Neurological Sciences issue 471 now available
Neurology News
25 Mar 2025
The Declaration of Helsinki at 60: Bridging Historical Ethics to Modern Neurology
This Special Editorial seeks to put the WMA Declaration of Helsinki in its historical context and to highlight its most relevant recent modifications for neurologists.
24 Mar 2025
Safety of intravenous thrombolysis in central retinal artery occlusion patients with concomitant acute cerebral infarctions
Central retinal artery occlusion (CRAO) results in severe visual impairment. Intravenous thrombolysis (IVT) is a potential treatment for CRAO, but ambiguous data regarding efficacy and the possibility that the presence of cerebral infarctions may increase the risk of symptomatic intracranial hemorrhage (sICH) raise concerns. The aim of the current study was to evaluate the safety of IVT in patients with CRAO.
18 Mar 2025
Differential diagnosis of multiple system atrophy with predominant parkinsonism and Parkinson's disease using neural networks
Neural networks (NNs) possess the capability to learn complex data relationships, recognize inherent patterns by emulating human brain functions, and generate predictions based on novel data.
