Transcutaneous Spinal Cord Stimulation Restores Hand and Arm Function After Spinal Cord Injury

Transcutaneous Spinal Cord Stimulation Restores Hand and Arm Function After Spinal Cord Injury

Spinal Cord Injury (SCI) resulting in upper limb paralysis significantly impacts patients’ independence and quality of life. Among the SCI patient population, regaining control over hand and arm movements is considered the highest priority treatment goal, surpassing even the restoration of walking ability. However, current clinical methods to impro...

Multi-Feature Attention Convolutional Neural Network for Motor Imagery Decoding

Brain-Computer Interface (BCI) is a communication method that connects the nervous system to the external environment. Motor Imagery (MI) is the cornerstone of BCI research, referring to the internal rehearsal before physical execution. Non-invasive techniques such as Electroencephalography (EEG) can record neural activities with high temporal reso...

A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification

Research Background and Objectives In recent years, Brain-Computer Interface (BCI) systems have been widely applied in the fields of neuroengineering and neuroscience. Electroencephalogram (EEG), as a data tool reflecting the activities of different neuronal groups in the central nervous system, has become a core research topic in these fields. How...

Uncovering the Neural Mechanisms of Inter-Hemispheric Balance Restoration in Chronic Stroke through EMG-Driven Robot Hand Training: Insights from Dynamic Causal Modeling

Uncovering the Neural Mechanisms of Inter-Hemispheric Balance Restoration in Chronic Stroke through EMG-Driven Robot Hand Training: Insights from Dynamic Causal Modeling

Revealing the Neuromechanism of Interhemispheric Balance Restoration in Chronic Stroke Patients through EMG-driven Robot Hand Training: Insights from Dynamic Causal Modeling Stroke is a common cause of disability, with most stroke survivors suffering from upper limb paralysis. The consequences of upper limb functional impairment can persist for ove...

Wavelet-Based Temporal-Spectral-Attention Correlation Coefficient for Motor Imagery EEG Classification

Brain-Computer Interface (BCI) technology has rapidly developed in recent years and is considered a cutting-edge technology that allows external devices to be controlled directly by the brain without the need for peripheral nerves and muscles. Particularly in the application of Motor Imagery Electroencephalography (MI-EEG), BCI technology has shown...

ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain–Computer Interface

ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain–Computer Interface

Brain-Computer Interface (BCI) has emerged as an enhanced communication and control technology in recent years. In BCI based on electrophysiological characteristics (such as Electroencephalogram, EEG), Motor Imagery (MI) is an important branch that decodes users’ motor intentions for use in clinical rehabilitation, intelligent wheelchair control, c...

Spatiotemporal Dynamics of Cortical Somatosensory Network in Typically Developing Children

Temporal and Spatial Dynamics of Somatosensory Cortex Network in Typically Developing Children Research Background Touch plays a crucial role in our interaction with external objects and the fine control of hand movements. Despite substantial research on the mechanisms of sensory information processing in human skin, it remains unclear how brain re...

Measuring Human Auditory Evoked Fields with a Flexible Multi-Channel OPM-Based MEG System

Measuring Human Auditory Evoked Fields with a Flexible Multi-Channel OPM-Based MEG System

Measurement of Human Auditory Evoked Fields Using a Flexible Multichannel Optically Pumped Magnetometer MEG System Xin Zhang and others, from the Suzhou Institute of Biomedical Engineering and Technology of the Chinese Academy of Sciences, University of Science and Technology of China, Jihua Laboratory in Foshan, Guangdong Province, and Guoke Medic...

Interaction Between the Gut Microbiota and Colonic Enteroendocrine Cells Regulates Host Metabolism

Interaction Between the Gut Microbiota and Colonic Enteroendocrine Cells Regulates Host Metabolism

Interaction Between Gut Microbiota and Colonic Enteroendocrine Cells Regulates Host Metabolism Research Background Obesity is a major health issue in the 21st century and a significant factor contributing to various adverse health consequences such as diabetes, fatty liver disease, and cardiovascular diseases. Therefore, exploring the biological me...

Injectable Ultrasonic Sensor for Wireless Monitoring of Intracranial Signals

Injectable Ultrasonic Sensor for Wireless Monitoring of Intracranial Signals

Wireless Injectable Ultrasound Sensor for Intracranial Signal Monitoring Background Introduction Direct and accurate monitoring of intracranial physiological conditions is extremely important for injury classification, prognosis assessment, and disease prevention. However, traditional wired clinical devices, such as percutaneous leads, although per...