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 ...

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-...

Topological Organization of the Brain Network in Patients with Primary Angle-Closure Glaucoma through Graph Theory Analysis

Topological Organization of the Brain Network in Patients with Primary Angle-Closure Glaucoma through Graph Theory Analysis

Medicine, Neurology, Ophthalmology, Medical Imaging, Life Sciences, Biophysics,
Primary Angle-Closure Glaucoma   Functional Magnetic Resonance Imaging   Graph Theory Analysis   Functional Brain Network   Neurodegenerative Disease  

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...

Functional Connectivity Alterations in Patients with Post-Stroke Epilepsy Based on Source-Level EEG and Graph Theory

Information Science, Artificial Intelligence, Medicine, Basic Medical Sciences, Neurology, Life Sciences, Biophysics,
epilepsy   ischemic stroke   electroencephalography   functional connectivity   graph theory  

Research Report on Changes in Functional Connectivity in Post-Stroke Epilepsy (PSE) Patients Based on Source-Level EEG and Graph Theory Research Background Epilepsy has various etiologies, including idiopathic, congenital, head trauma, central nervous system infections, brain tumors, neurodegenerative diseases, and cerebrovascular diseases. Among t...

Altered Functional Brain Networks in Coronary Heart Disease: Independent Component Analysis and Graph Theoretical Analysis

Altered Functional Brain Networks in Coronary Heart Disease: Independent Component Analysis and Graph Theoretical Analysis

Medicine, Neurology, Medical Imaging, Cardiovascular System,
coronary heart disease   resting-state functional MRI   functional connectivity   independent component analysis   graph theoretical analysis  

Changes in Functional Brain Networks in Coronary Heart Disease Patients: Independent Component Analysis and Graph Theory Analysis This article, published in the 229th volume of “Brain Structure and Function” in 2024, explores the changes in functional connectivity (FC) and brain network topology in patients with coronary heart disease (CHD). The st...

Graph-based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis with Synthetic Functional Brain Network Generation

Graph-based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis with Synthetic Functional Brain Network Generation

Information Science, Artificial Intelligence, Medicine, Psychiatry, Neurology, Medical Imaging,
Major Depressive Disorder   Generative Adversarial Networks   Graph Convolutional Networks   Resting-State Functional MRI   Synthetic Functional Connectivity  

Graph-Based Conditional Generative Adversarial Network for Generating Synthetic Functional Brain Networks to Diagnose Major Depressive Disorder Research Background: Major Depressive Disorder (MDD) is a widespread mental disorder that affects millions of people’s lives and poses a significant threat to global health. Studies have shown that function...