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...

A Study on EEG Activities in Artistic and Engineering Thinking during the Creative Process Background and Research Motivation Creativity is universally regarded as the ability to imagine new and valuable things. Researchers have identified two types of creative thinking: growth mindset and fixed mindset. Growth mindset creativity can improve skills...

Brain Connectivity Analysis Based on Reading Tasks in Children with Dyslexia (Using EEG Signals) Dyslexia is a neurodevelopmental disorder that affects the normal reading ability, even though children with normal intelligence may still be affected. This paper investigates the differences in brain connectivity between children with dyslexia and norm...

Research on Network Construction and Application of Novel Drug Repositioning Strategies Background During the COVID-19 pandemic, researchers and pharmaceutical companies have been dedicated to developing treatments and vaccines. Drug repositioning, due to its shortcut, is considered a rapid and effective response strategy. Drug repositioning attemp...

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...

Brain Science Research Inspires AI Algorithms: Neural Mechanisms of Knowledge Assembly Background Introduction When new information enters the brain, human pre-existing knowledge of the world can quickly change through a process called “knowledge assembly.” Recently, in a study conducted by Nelli et al., the neural correlates of knowledge assembly ...

Asthma Prediction Enhanced by Affinity Graph-Based Classifier: A Machine Learning Approach Using Routine Blood Biomarkers Background Asthma is a chronic respiratory disease that affects approximately 235 million people worldwide. According to the World Health Organization (WHO), the main characteristic of asthma is airway inflammation, leading to s...

The title of this paper is “Identification of Autism Spectrum Disorder Using Multiple Functional Connectivity-based Graph Convolutional Network,” published in the journal “Medical & Biological Engineering & Computing,” volume 62, pages 2133-2144, in 2024. This paper proposes a multiple functional connectivity-based graph convolutional network (mfc-...

Representation Learning of Lung Cancer Based on Graph Neural Networks Background Introduction With the rapid development of digital pathology, image-based diagnostic systems are becoming increasingly important in precise pathological diagnosis. These systems rely on Multiple Instance Learning (MIL) technology for Whole Slide Images (WSIs). However,...

Graph Theory Analysis of Brain Network Topology Structure in Patients with Primary Angle-Closure Glaucoma Research Background Glaucoma is a global blinding eye disease characterized by optic nerve damage and elevated intraocular pressure (IOP) (Kang and Tanna 2021). Among various types of glaucoma, Primary Angle-Closure Glaucoma (PACG) is particula...