A new Graph Gaussian embedding method for analyzing the effects of cognitive training

Keyphrases

• Embedding Method 100%
• Functional Brain Networks 100%
• Amnestic Mild Cognitive Impairment (aMCI) 100%
• Gaussian Embedding 100%
• Cognitive Training 100%
• Neuroscience 50%
• Brain Injury 50%
• Quantitative Methods 50%
• Functional Magnetic Resonance Imaging 50%
• Brain Connectivity 50%
• Parkinson's Disease 50%
• Brain Regions 50%
• Brain Networks 50%
• Data-centric 50%
• Traumatic Brain Injury 50%
• Brain Disorders 50%
• Neural Network Model 50%
• Connectivity Features 50%
• Frontoparietal 50%
• Cognitive Impairment 50%
• Wasserstein Distance 50%
• Distance Measure 50%
• Default Mode Network 50%
• Subtle Change 50%
• Gaussian Distribution 50%
• Dorsal Attention Network 50%
• Cognitive Alterations 50%
• Link Prediction 50%
• Multigraph 50%
• Intrinsic Dimension 50%
• Visual Attention 50%
• Cognitive Domains 50%
• Brain Connectome 50%
• Non-pharmaceutical Interventions 50%
• Alzheimer's Disease Diagnosis 50%
• Task Control 50%
• Brain Network Analysis 50%
• Somatomotor 50%
• Memory Retrieval 50%
• Short-term Intervention 50%
• Non-pharmacological 50%

Neuroscience

• Brain Network 100%
• Mild Cognitive Impairment 66%
• Neuroscience 33%
• Neurotrauma 33%
• Traumatic Brain Injury 33%
• Functional Magnetic Resonance Imaging 33%
• Parkinson's Disease 33%
• Cognitive Disorders 33%
• Neural Network 33%
• Connectomics 33%
• Alzheimer's Disease 33%
• Default Mode Network 33%