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-...

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...

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...