Assessing Sustained B-Cell Depletion and Disease Activity in a French Multiple Sclerosis Cohort Treated by Long-Term IV Anti-CD20 Antibody Therapy

Long-term Intravenous Anti-CD20 Antibody Therapy Assessment in a French Multiple Sclerosis Cohort Background and Research Motivation Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease affecting the central nervous system, leading to varying degrees of physical and cognitive impairment. Recent Phase II and III clinical trials of...

Wavelet-Based Bracketing, Time–Frequency Beta Burst Detection: New Insights in Parkinson's Disease

Parkinson’s Disease Research Report: Beta Burst Behavior Analysis Using a Wavelet-Based Time-Frequency Detection Framework Background Parkinson’s disease (PD) is a prevalent neurodegenerative disorder characterized by motor dysfunction, including tremors, rigidity, and bradykinesia. Recent studies have linked motor impairments in PD to excessive sy...

Magnetic Resonance-Guided Focused Ultrasound Thalamotomy Rebalances Atypical Functional Hierarchy in Patients with Essential Tremor

Research Report: Reshaping Functional Hierarchies in Medication-Refractory Essential Tremor Through MRgFUS Therapy Essential tremor (ET), a prevalent movement disorder, is characterized by involuntary limb tremors, particularly noticeable during specific tasks. While traditional pharmacological treatments and deep brain stimulation (DBS) have shown...

Frequency-Dependent Reduction of Cybersickness in Virtual Reality by Transcranial Oscillatory Stimulation of the Vestibular Cortex

Use of Transcranial Oscillatory Stimulation to Reduce Cybersickness in Virtual Reality Background and Motivation Virtual Reality (VR) technology is increasingly integrated into fields such as work, healthcare, and entertainment. However, approximately 95% of VR users experience symptoms known as Cybersickness (CS), characterized by nausea, dizzines...

Enhanced MRI-based Brain Tumour Classification with a Novel Pix2Pix Generative Adversarial Network Augmentation Framework

Here’s the translation of the report, ensuring all content is preserved as requested: The research presents an enhanced MRI-based brain tumor classification method using a novel Pix2Pix Generative Adversarial Network (GAN) augmentation framework, effectively addressing challenges in data scarcity and privacy while improving diagnostic accuracy. Doe...