The Ankle Dorsiflexion Kinetics Demand to Increase Swing Phase Foot-Ground Clearance: Implications for Assistive Device Design and Energy Demands

Engineering, Mechanical Engineering, Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Ankle Dorsiflexion   Minimum Foot Clearance   Swing Biomechanics   Ankle Foot Orthoses   Assistive Devices  

Research Report Background Introduction With an aging population and the increase in neurological and muscular diseases such as stroke, the risk of tripping and falling due to gait disorders has become a serious problem. Research shows that ankle dorsiflexion is crucial for ensuring foot clearance during the swing phase of gait. However, there is l...

Time Synchronization Between Parietal–Frontocentral Connectivity with MRCP and Gait in Post-Stroke Bipedal Tasks

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging,
stroke   brain-computer interface   functional connectivity   motor execution   motor preparation   bipedal classification   rehabilitation  

Time Synchronization of Motor-Related Cortical Potentials and Parieto-Frontocentral Connectivity in Bilateral Tasks of Stroke Patients Background In stroke rehabilitation research, functional connectivity (FC), motor-related cortical potentials (MRCP), and gait activities are common metrics related to rehabilitation outcomes. Although these have be...

Inter-alpha-trypsin inhibitor heavy chain h3 is a potential biomarker for disease activity in myasthenia gravis

Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurology, Life Sciences, Cell Biology, Biochemistry, Immunology,
myasthenia gravis   biomarker   inter-alpha-trypsin inhibitor heavy chain h3   muscle proteomics   neuromuscular junction   acetylcholine receptor  

Research Background Myasthenia Gravis (MG) is a chronic antibody-mediated autoimmune disease that primarily affects synaptic transmission at the neuromuscular junction. Approximately 85% of MG patients are antibody-mediated targeting acetylcholine receptors (AChR). The clinical features of this disease include muscle weakness, especially fatigue-in...

Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and Mice

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Cell Biology, Bioengineering,
electrophysiology   cell-type classification   neuronal types   domain adaptation   sparse neural networks   interpretable neural networks  

Innovative Fusion in Neuron Classification: Shared Information from Human and Mouse Electrophysiological Data The scientific community has long faced significant challenges in neuron classification. Accurate classification of neurons is crucial for understanding brain function in both healthy and diseased states. This study, led by Ofek Ophir, Orit...

Introduction to Cadence: A Neuroinformatics Tool for Supervised Calcium Events Detection

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Life Sciences, Cell Biology, Biochemistry, Bioengineering, Biophysics,
calcium imaging   calcium events detection   relative fluorescence   neuroinformatics tool   neuronal ensembles  

A New Breakthrough in Neuroinformatics: Research Report on Cadence Tool for Calcium Event Detection Background Introduction Calcium imaging technology has revolutionized the study of neuron ensembles, providing researchers with a powerful tool to simultaneously visualize and monitor multiple neuronal activities. Calcium imaging utilizes fluorescent...

Predicting cognitive functioning for patients with a high-grade glioma: Evaluating different representations of tumor location in a common space

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
cognitive functioning   high-grade glioma   individual predictions   lesion location   parcellations   dimensionality reduction  

Academic Background It is widely recognized that the cognitive function of patients with high-grade glioma is affected by the location and volume of the tumor. However, research on how to accurately predict individual patients’ cognitive function for personalized treatment decisions before and after surgery remains limited. Currently, most studies ...