Classification and prediction of brain disorders using functional connectivity: Promising but challenging

Keyphrases

• Brain Diseases 100%
• Functional Connectivity 100%
• Dynamic Functional Connectivity 100%
• Static Functional Connectivity 100%
• Functional Magnetic Resonance Imaging 66%
• Brain Connectivity 66%
• Schizophrenia 33%
• Alzheimer's Disease 33%
• Mild Cognitive Impairment 33%
• Potential Biomarkers 33%
• Bipolar Disorder 33%
• Neurological Disorders 33%
• Region of Interest 33%
• Mood Disorders 33%
• Autism Spectrum Disorder 33%
• Attention Deficit Hyperactivity Disorder 33%
• Feature Selection 33%
• Classification Accuracy 33%
• Connectivity Pattern 33%
• Classification Strategy 33%
• Model Building 33%
• Functional Integration 33%
• Temporal Correlation 33%
• Clustering Approach 33%
• Functional Brain Imaging 33%
• Sliding Window 33%
• Deep Learning 33%
• Intrinsic Connectivity 33%
• Spatial Networks 33%
• Psychosis Disorders 33%
• Connectivity Index 33%
• Connectivity States 33%
• Time-varying Functional Connectivity 33%
• Decomposition Approach 33%
• Embedding Method 33%
• Brain Network Analysis 33%
• Abundant numbers 33%
• Filter-pack Method 33%
• Traditional Classifiers 33%
• Alzheime's Disease 33%
• Image Dataset 33%
• Functional Network Connectivity 33%
• Applied Deep Learning 33%

Neuroscience

• Functional Connectivity 100%
• Brain Disease 100%
• Dynamic Functional Connectivity 42%
• Functional Magnetic Resonance Imaging 28%
• Alzheimer's Disease 14%
• Mild Cognitive Impairment 14%
• Bipolar Disorder 14%
• Mood Disorder 14%
• Attention Deficit Hyperactivity Disorder 14%
• Nervous System Disorder 14%
• Neurodevelopmental Disorder 14%
• Autism Spectrum Disorder 14%
• Biological Marker 14%
• Schizophrenia 14%
• Psychosis 14%
• Functional Brain Imaging 14%