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...

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...

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...

Macroscale Intrinsic Dynamics are Associated with Microcircuit Function in Focal and Generalized Epilepsies

Macroscale Intrinsic Dynamics are Associated with Microcircuit Function in Focal and Generalized Epilepsies

Study on the Relationship between Macroscopic Intrinsic Dynamics and Microcircuit Functions in Epilepsy Research Background Epilepsy is a group of neurological disorders characterized by abnormal spontaneous brain activity, involving multi-scale changes in brain functional organization. However, it remains unclear to what extent epilepsy-related sp...

Potential Biomarker for Early Detection of ADHD Using Phase-Based Brain Connectivity and Graph Theory

Research Report on Potential Biomarkers for Early Detection of ADHD: Phase-Based Functional Brain Connectivity and Graph Theory Analysis This is a research report titled “Potential Biomarkers for Early Detection of ADHD: Using Phase-Based Functional Brain Connectivity and Graph Theory Analysis”. This study was conducted by Farhad Abedinzadeh Torgha...