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Structural biology of ferritin nanocages
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source
Electromyography (EMG) is essential in medical and rehabilitation fields for assessing neuromuscular functions. However, mainstream traditional surface EMG (sEMG) is susceptible to electrode displacement or noise interference during walking, leading to ...
Ying Du +6 more
doaj +1 more source
Personalized Brain-Computer Interface Models for Motor Rehabilitation
We propose to fuse two currently separate research lines on novel therapies for stroke rehabilitation: brain-computer interface (BCI) training and transcranial electrical stimulation (TES).
Grosse-Wentrup, Moritz +5 more
core +1 more source
Progress in Brain Computer Interface: Challenges and Opportunities [PDF]
Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have
S. Saha +7 more
semanticscholar +1 more source
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
Autism spectrum disorder disrupts brain network connectivity maturation during childhood development
Understanding the developmental trajectory of autism spectrum disorder (ASD) remains a critical barrier for timely intervention in children. Here, we investigated the deficit brain maturation trajectory during childhood development in 35 ASD level 1 and ...
Lattika Tiawongsuwan +7 more
doaj +1 more source
Spiking Neural Network for Augmenting Electroencephalographic Data for Brain Computer Interfaces
With the advent of advanced machine learning methods, the performance of brain–computer interfaces (BCIs) has improved unprecedentedly. However, electroencephalography (EEG), a commonly used brain imaging method for BCI, is characterized by a tedious ...
Sai Kalyan Ranga Singanamalla +2 more
doaj +1 more source
Freeze the BCI until the user is ready: a pilot study of a BCI inhibitor [PDF]
In this paper we introduce the concept of Brain-Computer Interface (BCI) inhibitor, which is meant to standby the BCI until the user is ready, in order to improve the overall performance and usability of the system.
Bonnet, Laurent +2 more
core +2 more sources
An inversion method based on random sampling for real-time MEG neuroimaging [PDF]
The MagnetoEncephaloGraphy (MEG) is a non-invasive neuroimaging technique with a high temporal resolution which can be successfully used in real-time applications, such as brain-computer interface training or neurofeedback rehabilitation.
Pascarella, Annalisa, Pitolli, Francesca
core +1 more source
Generative Adversarial Networks-Based Data Augmentation for Brain–Computer Interface
The performance of a classifier in a brain–computer interface (BCI) system is highly dependent on the quality and quantity of training data. Typically, the training data are collected in a laboratory where the users perform tasks in a controlled ...
Fatemeh Fahimi +4 more
semanticscholar +1 more source

