Neural Basis of Categorical Representations of Animal Body Silhouettes

Neural Mechanism | Neural Basis of Animal Body Silhouette Classification This article, written by Yue Pu and Shihui Han, published in “neurosci. bull.” in 2024, explores the neural processes of rapid classification and cognition of animal body silhouettes in humans. The study aims to reveal how humans identify and categorize individuals of differen...

A Bicoherence Approach to Analyze Multi-Dimensional Cross-Frequency Coupling in EEG/MEG Data

Academic News Report on Multidimensional Cross-Frequency Coupling Analysis in EEG/MEG Data In recent years, with the advancement of neuroscience and medical imaging technology, researchers’ exploration of brain functional connectivity has become increasingly in-depth. This report will introduce a scientific research paper on multi-dimensional cross...

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...

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...

Functional Connectivity Changes in Mild Cognitive Impairment: A Meta-Analysis of M/EEG Studies

Changes in Functional Connectivity in Mild Cognitive Impairment: A Meta-Analysis of M/EEG Studies Background and Objectives Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by memory loss and cognitive impairment. AD is the leading cause of cognitive disorders in the elderly, accounting for approximately 60% to 80% of global c...

Networked Information Interactions in Schizophrenia Magnetoencephalograms based on Permutation Transfer Entropy

Study of Network Information Interactions in Schizophrenia Magnetoencephalograms Based on Permutation Transfer Entropy Academic Background Schizophrenia (SCZ) is a mental disorder characterized by persistent delusions and hallucinations, disorganized thinking, and inconsistent behavior, often leading to significant impairment in the perception of r...

Human Sensorimotor Resting State Beta Events and Aperiodic Activity Show Good Test–Retest Reliability

Human Sensorimotor Resting State β Events and Aperiodic Activity Exhibit Good Test-Retest Reliability Background Neurological diseases are some of the most impactful diseases on daily human life, particularly those affecting sensory and motor functions, such as Parkinson’s disease. Early diagnosis of these diseases is often exceedingly difficult du...

Speech Prosody Serves Temporal Prediction of Language via Contextual Entrainment

Time prediction plays an important role in language comprehension, making language processing faster and more efficient. Especially in complex auditory and language processing, predicting the information of the upcoming utterance can improve comprehension efficiency and reduce cognitive load. Existing research has shown that listeners can utilize t...