Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection

Keyphrases

• 3D Convolutional Neural Network (3D CNN) 14%
• 3D Image 14%
• Ability to Learn 14%
• Alzheimer's Disease Diagnosis 14%
• Brain Disease Diagnosis 14%
• Brain Functional Network 100%
• Challenging Problems 14%
• Convolutional Neural Network 14%
• Deep Learning 100%
• Diagnostic Features 14%
• Diagnostic Performance 14%
• Dynamic Brain Network 100%
• Dynamic Functional Connectivity 28%
• Embedding Features 14%
• Functional Connectome 14%
• Functional Network Dynamics 14%
• Individualized Diagnosis 14%
• Large Cohort 14%
• MCI Detection 100%
• Medical Image 14%
• Mild Cognitive Impairment 14%
• Modified Independent Component Analysis 14%
• MRI Data 14%
• Network Features 42%
• Neural Network Framework 14%
• Neurological Diseases 14%
• Novel Convolutional Neural Network 14%
• Performance Improvement 14%
• Resting State 14%
• Resting-state Functional Magnetic Resonance Imaging (rs-fMRI) 57%
• Spatial Features 14%
• Spatiotemporal Pattern 14%
• Sporadic Alzheimer's Disease 14%
• Static Functional Connectivity 14%
• Static-dynamic 28%
• Voxel-wise 28%

Neuroscience

• Alzheimer's Disease 25%
• Brain Disease 25%
• Connectomics 25%
• Dynamic Functional Connectivity 50%
• Functional Magnetic Resonance Imaging 100%
• Independent Component Analysis 25%
• Mild Cognitive Impairment 25%
• Nervous System Disorder 25%
• Neural Network 50%

Computer Science

• 3-Dimensional Convolutional Neural Networks 9%
• Conventional Method 9%
• Convolutional Neural Network 18%
• Deep Learning Method 100%
• Functional Connectivity 18%
• Functional Network 100%
• Functional State 36%
• Modified Independent Component Analysis 9%
• Network Dynamic 9%
• Performance Improvement 9%