a network for the segmentation of multiple brain regions has been proposed that is based on 3D convolutional neural networks and utilizes residual learning and dilated convolution operations to ...

The objective of this paper is to evaluate available evidence for each step in autoimmune encephalitis management and provide expert opinion when evidence is lacking. The paper approaches autoimmune ...

Background Anti-N-methyl-D-aspartate receptor encephalitis (NMDARE) is a severe autoimmune disorder ... During the screening visit (V1), all candidates underwent CSF Ab testing, MRI scanning and blood ...

Anti-NMDA receptor encephalitis is rare ... Basically something was irritating his brain and I got him admitted and repeated the MRI, and it showed evidence of an attack. I treated him with ...

1 Molecular Neurotherapeutics Laboratory, Department of Pharmacology and Clinical Pharmacology, The University of Auckland, Auckland, New Zealand 2 Centre for Brain Research ... the autoimmune disease ...

A new study suggests that synaptic NMDA receptor activity affords neuroprotection by regulating oxidation-reduction (redox) pathways via transcription. Oxidative damage has long been considered to ...

Summary: A research team has uncovered a molecular “switch” that precisely regulates NMDA receptors, key players in brain communication, by blocking excitatory synapse overactivity. The proteins MDGA2 ...

Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis is accepted as an autoimmune disorder of the central nervous system (CNS). NLR family pyrin domain containing 3 (NLRP3) inflammasome, a potent ...

MRI brain measures at the time of the stroke included as follows: 1, total number of LACIs (index LACI and nonindex radiographic lacunes); 2, size of the largest lacune; 3, ventricular size; 4, ...

Zhejiang Cancer Hospital, The Key Laboratory of Zhejiang Province for Basic and Clinical Application of Functional Nucleic Acids, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, ...

the UNet-based MC-Net and a baseline ViT based method in terms of quantitative metrics. This study offers a practical approach for elimination of motion artifacts from brain MRI, using self-supervised ...