Functional Connectivity Analysis of Children with Autism Under Emotional Clips

Functional Connectivity Analysis of Children with Autism under Emotional Stimulation Background Introduction Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder, primarily characterized by deficits in social interaction and communication abilities, as well as repetitive behaviors and restricted interests. One of the core feature...

Multi-scale Hyperbolic Contrastive Learning for Cross-subject EEG Emotion Recognition

Cross-Subject EEG Emotion Recognition Research Based on Multi-Scale Hyperbolic Contrastive Learning Academic Background Electroencephalography (EEG), as a physiological signal, plays an important role in the field of affective computing. Compared with traditional non-physiological cues (such as facial expressions or voice), EEG signals have higher ...

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...

Distinct Contributions of Alpha and Beta Oscillations to Context-Dependent Visual Size Perception

Revealing Different Cognitive Mechanisms of the Ebbinghaus Illusion Through Neural Oscillations Academic Background Human perception of size in vision is not entirely faithful to the physical world and is highly dependent on context. For example, when an object is surrounded by several smaller objects, it appears larger than when surrounded by larg...

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...

A GRU-CNN Model for Auditory Attention Detection using Microstate and Recurrence Quantification Analysis

Overview and Report: Application of GRU-CNN Model Based on Microstate and Recurrence Quantification Analysis in Auditory Attention Detection Background and Research Motivation Attention, as a cognitive ability, plays a crucial role in the perception process, helping humans to focus on specific objects while ignoring other distractions in a complex ...

Beta to Theta Power Ratio in EEG Periodic Components as a Potential Biomarker in Mild Cognitive Impairment and Alzheimer's Dementia

Alzheimer’s Disease Research and Treatment Frontiers: Beta/Theta Power Ratio in EEG Periodic Components as a Potential Biomarker Background Introduction Alzheimer’s dementia (AD) is a progressively developing disease, accounting for 60% to 80% of all dementia cases [1]. In the early stages of AD, mild cognitive impairment (MCI) typically occurs, du...

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...

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...

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...