Layer-Dependent Effects of Chronic Neural Electrode Implants on Neural Functional Connectivity in Mice Introduction This study explores the long-term effects of chronically implanted microelectrodes on neural functional connectivity within the brains of C57BL6 wild-type mice. Implanted intracerebral electrodes enable the recording and electrical st...

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...

Topology of Surface Electromyography Signals: Decoding Hand Gestures Using Riemannian Manifolds This paper is authored by Harshavardhana T. Gowda (Department of Electrical and Computer Engineering, University of California, Davis) and Lee M. Miller (Center for Mind and Brain Sciences, Department of Neurophysiology and Behavior, Department of Otolar...

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...

EEG of Pre-movement Phase Aids Brain-Computer Interface (BCI) in Recognizing Movement Intentions Background and Research Objectives Brain-Computer Interface (BCI) is a technology that translates human intentions directly through neural signals to control devices, holding extensive application prospects [1]. BCI has the potential to revolutionize va...

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...

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 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...

Comprehensive Academic Report on Scientific Paper Research Background Multiple sclerosis (MS) is an inflammatory and degenerative disease of the central nervous system (CNS), affecting approximately 2.8 million people worldwide. The pathological mechanisms of this disease are mainly related to autoimmune-mediated demyelination and axonal transectio...

Characteristics, Quantity, and Spatial Distribution of Human Cervical Vagus Nerve and its Cardiac Superior Branch Nerve Fibers Introduction In modern medicine, Vagus Nerve Stimulation (VNS) is widely used to treat various diseases such as epilepsy, obesity, depression, and heart diseases. Although the overall Vagus nerve stimulation method has prov...