A Novel CNN-Based Image Segmentation Pipeline for Individualized Feline Spinal Cord Stimulation Modeling

Automated Spinal Cord Segmentation Pipeline Based on Convolutional Neural Network (CNN) for Individualized Cat Spinal Cord Stimulation Modeling Background and Research Motivation Spinal cord stimulation (SCS) is a widely used treatment method for chronic pain management. In recent years, it has also been used to modulate neural activity, aiming to ...

GCTNet: A Graph Convolutional Transformer Network for Major Depressive Disorder Detection Based on EEG Signals

GCTNet: Graph Convolution Transformer Network for Detecting Major Depressive Disorder Based on EEG Signals Research Background Major Depressive Disorder (MDD) is a prevalent mental illness characterized by significant and persistent low mood, affecting over 350 million people worldwide. MDD is one of the leading causes of suicide, resulting in appr...

Influence of Peripheral Axon Geometry and Local Anatomy on Magnetostimulation Chronaxie

Influence of Peripheral Nerve Geometry and Local Anatomy on Magnetic Stimulation Time Constant Background Introduction Rapidly switching magnetic resonance imaging (MRI) gradient fields produce sufficiently strong electric fields within the human body, leading to peripheral nerve stimulation (PNS), which limits improvements in imaging speed and res...

Single-Session Cross-Frequency Bifocal tACS Modulates Visual Motion Network Activity in Young Healthy Population and Stroke Patients

Report on Single-Session Cross-Frequency Dual-Focus tACS Modulation of Visuomotor Network Activity in Healthy Young Adults and Stroke Patients Academic Background and Research Significance In neuroscience research, neural oscillations play a crucial role in regulating communication within and between brain regions. Long-distance phase synchronizati...

A User-Friendly Visual Brain-Computer Interface Based on High-Frequency Steady-State Visual Evoked Fields Recorded by OPM-MEG

A User-Friendly Visual Brain-Computer Interface Based on High-Frequency Steady-State Visual Evoked Fields Recorded by OPM-MEG

Visual Brain-Computer Interface Based on High-Frequency Steady-State Visual Evoked Fields Background Brain-Computer Interface (BCI) technology allows users to control machines by decoding specific brain activity signals. While invasive BCIs excel in capturing high-quality brain signals, their application is mainly limited to clinical settings. Non-...

The Effect of TDCS on Inhibitory Control and its Transfer Effect on Sustained Attention in Children with Autism Spectrum Disorder: An fNIRS Study

The Effect of TDCS on Inhibitory Control and Its Transfer Effect on Sustained Attention in Children with Autism Spectrum Disorder: An fNIRS Study Background Autism Spectrum Disorder (ASD) is a type of neurodevelopmental disorder characterized by social communication impairments, narrow interests, and repetitive behaviors. Many studies have found th...

Sustained Reduction of Essential Tremor with Low-Power Non-Thermal Transcranial Focused Ultrasound Stimulations in Humans

Sustained Reduction of Essential Tremor with Low-Power Non-Thermal Transcranial Focused Ultrasound Stimulations in Humans

Sustained Reduction of Essential Tremor with Low-Power Non-Thermal Transcranial Focused Ultrasound Stimulation in Humans Background Essential Tremor (ET) is one of the most common neurological disorders, primarily characterized by bilateral upper limb action tremor that persists for more than three years. For ET unresponsive to medication, neurosur...

Tactile Perception: A Biomimetic Whisker-Based Method for Clinical Gastrointestinal Diseases Screening

Clinical Gastrointestinal Disease Screening Based on the Bionic Artificial Tentacle Method Background Gastrointestinal diseases display a wide range of complex symptoms globally, such as diarrhea, gastrointestinal bleeding, malabsorption, malnutrition, and even neurological dysfunction. These diseases pose significant health challenges and socioeco...

Convergent Neuroimaging and Molecular Signatures in Mild Cognitive Impairment and Alzheimer's Disease: A Data-Driven Meta-Analysis with n = 3,118

Convergent Neuroimaging and Molecular Signatures in Mild Cognitive Impairment and Alzheimer's Disease: A Data-Driven Meta-Analysis with n = 3,118

Neuroimaging and Molecular Markers in Alzheimer’s Disease: Data-Driven Meta-Analysis Research Background Alzheimer’s Disease (AD) is a chronic neurodegenerative disease characterized mainly by progressive memory loss and cognitive impairment, making it the most common type of dementia. Neuronal loss, one of the primary hallmarks of AD, is closely a...

Whole-brain mapping of inputs and outputs of specific orbitofrontal cortical neurons in mice

Whole-brain mapping of inputs and outputs of specific orbitofrontal cortical neurons in mice

Whole-Brain Mapping of Specific Orbitofrontal Cortex Neuron Inputs and Outputs in Mice Research on the mouse brain has always been an important topic in neuroscience, especially studies on the orbitofrontal cortex (ORB). The ORB plays a key role in reward processing, decision making, behavioral flexibility, and emotional regulation. In recent years...