Yield of Non-Invasive Imaging in MRI-Negative Focal Epilepsy

Clinical Utility of Non-invasive Imaging in MRI-negative Focal Epilepsy Academic Background Epilepsy surgery is a crucial treatment modality for drug-resistant epilepsy. However, the likelihood of achieving good outcomes postoperatively is significantly diminished when Magnetic Resonance Imaging (MRI) fails to detect lesions. Previous studies indic...

Modulating the Difficulty of a Visual Oddball-like Task and P3m Amplitude

Modulation of P3m Amplitude by Task Difficulty in a Visual Oddball Task Background In cognitive neuroscience research, Event-Related Potentials (ERP) and Event-Related Fields (ERF) are important means to explore the cognitive processing mechanisms of the brain. Among these, the P3 component (referred to as P3m in magnetoencephalography) has garnere...

Neurophysiological Study of Orientation Discrimination in a Working Memory Task

Neurophysiological Study: Neurophysiological Research on Orientation Discrimination in a Working Memory Task Background Recognizing and remembering the spatial orientation of the environment is a crucial component of visuospatial behavior. Accurately storing and recalling this information helps us navigate in space and respond adaptively to rapid c...

Theta Oscillations Support Prefrontal-Hippocampal Interactions in Sequential Working Memory

Study on Theta Oscillations in Hippocampus-Prefrontal Interaction Supporting Sequential Working Memory Academic Background The dorsolateral prefrontal cortex (DLPFC) and the hippocampus play crucial roles in sequential working memory, but the specific interaction mechanisms are not yet clear. Previous studies have shown that these two brain regions...

Deep-Learning-Based Motor Imagery EEG Classification by Exploiting the Functional Connectivity of Cortical Source Imaging

Deep-learning-based Motor Imagery EEG Classification by Exploiting the Functional Connectivity of Cortical Source Imaging Research Background and Motivation A brain-computer interface (BCI) is a system that directly decodes and outputs brain activity information without relying on related neural pathways and muscles, thereby achieving communication...

Study on Different Brain Activation Rearrangement during Cognitive Workload from ERD/ERS and Coherence Analysis

Study on Different Brain Activation Reorganization during Cognitive Load: ERD/ERS and Coherence Analysis Academic Background When humans engage in imagination, movement, or cognitive tasks, their brain functional activity patterns and activated regions differ. These pattern changes are also reflected in changes in brain electrical activity, which c...

Physiological Data for Affective Computing: The Affect-HRI Dataset

Application of Physiological Data in Human-Robot Interaction with Anthropomorphic Service Robots: Affect-HRI Dataset Background and Significance In interactions between humans and humans, as well as humans and robots, the interacting entity can influence human emotional states. Unlike humans, robots inherently cannot exhibit empathy and thus cannot...

Speech-Induced Suppression During Natural Dialogues

During human communication, the brain processes self-generated speech and others’ speech differently, a phenomenon known as the Speech-Induced Suppression (SIS) mechanism. This mechanism involves the motor efference copy in the perception pathway, functioning similar to an “echo” that helps filter internally generated signals to avoid confusing the...

Identifying Oscillatory Brain Networks with Hidden Gaussian Graphical Spectral Models of MEEG

Identifying Oscillatory Brain Networks with Hidden Gaussian Graphical Spectral Models of MEEG

Research Background and Objectives With the continuous development of neuroscience, identifying indirectly observed processes related to functional networks has become an important research direction. Researchers attempt to estimate the activity of these functional networks through electrophysiological signals such as EEG and MEG. However, this pro...

Increases in Pre-Stimulus Theta and Alpha Oscillations Precede Successful Encoding of Crossmodal Associations

Enhancement of Theta and Alpha Oscillations Prior to Crossmodal Memory Encoding Background Episodic memory is a crucial component of human memory, with one of its core mechanisms being the formation of associations through stimuli from different sensory channels. Current theories suggest that during crossmodal associative encoding, the phase and po...