A unified framework for personalized regions selection and functional relation modeling for early MCI identification

Keyphrases

• Mild Cognitive Impairment 100%
• Functional Relationship 100%
• Region of Interest 100%
• Unified Framework 100%
• MCI Identification 100%
• Region Selection 100%
• Relation Modeling 100%
• Resting-state Functional Magnetic Resonance Imaging (rs-fMRI) 66%
• Brain Diseases 66%
• Disease Identification 66%
• Region of Interest Selection 66%
• Subject-specific 33%
• Neural Activity 33%
• Neuroscience 33%
• Superior Performance 33%
• Multiple Regions 33%
• Functional Traits 33%
• Co-activity 33%
• Multivariate Pattern Classification 33%
• Blood Oxygen Level-dependent Signal 33%
• Reinforcement Learning Algorithm 33%
• Functional Abnormalities 33%
• Group Analysis 33%
• Individual Property 33%
• Selected Region 33%
• Discriminative Feature Representation 33%
• Deep Neural Network 33%
• Graph Neural Network 33%
• Temporal Embedding 33%
• Embedded Module 33%
• Analysis Patterns 33%

Computer Science

• Discriminative Feature 100%
• Conventional Method 100%
• Neural Network 100%
• Multiple Region 100%
• Superior Performance 100%
• Reinforcement Learning 100%
• Learning Mechanism 100%
• Individual Variability 100%
• Unified Framework 100%
• Functional State 100%
• Individual Characteristic 100%
• Functional Characteristic 100%
• Deep Neural Network 100%
• Pattern Recognition 100%

Neuroscience

• Mild Cognitive Impairment 100%
• Functional Magnetic Resonance Imaging 66%
• Neural Network 66%
• Brain Disease 66%
• Blood-Oxygen-Level Dependent 33%
• Reinforcement Learning 33%
• Pattern Recognition 33%