Analysis of Reading-Task-Based Brain Connectivity in Dyslexic Children Using EEG Signals

Medicine, Neurology, Clinical Psychology, Life Sciences, Bioengineering, Biophysics,
dyslexia   EEG   coherence   brain connectivity   graph theory  

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...

Development of Complemented Comprehensive Networks for Rapid Screening of Repurposable Drugs Applicable to New Emerging Disease Outbreaks

Chemistry, Medicinal Chemistry, Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Pharmacy, Life Sciences, Immunology, Microbiology,
drug repurposing   network medicine   graph-based semi-supervised learning   COVID-19  

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...

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

Information Science, Artificial Intelligence, Medicine, Neurology, Clinical Psychology, Medical Imaging, Life Sciences, Bioengineering, Biophysics,
ADHD detection   functional EEG connectivity   phase synchronization measure   graph connectivity measurements   phase-based connectivity  

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...

The Neural Mechanism of Knowledge Assembly in the Human Brain Inspires Artificial Intelligence Algorithm

The Neural Mechanism of Knowledge Assembly in the Human Brain Inspires Artificial Intelligence Algorithm

Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Biophysics,
knowledge assembly   neural mechanism   fMRI   artificial neural networks   PPC   cognitive flexibility   perceptual processing  

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 via Affinity Graph Enhanced Classifier: A Machine Learning Approach Based on Routine Blood Biomarkers

Information Science, Computer Science, Artificial Intelligence, Medicine, Respiratory System, Medical Laboratory Science,
asthma prediction   asthma   affinity graph   feature selection   machine learning  

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...

Identification of Autism Spectrum Disorder Using Multiple Functional Connectivity-Based Graph Convolutional Network

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Clinical Psychology, Medical Imaging,
autism spectrum disorder   graph convolutional network   functional connectivity   brain network   readout layer  

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-...