Effects of Brain Atlases and Machine Learning Methods on the Discrimination of Schizophrenia Patients: A Multimodal MRI Study

Keyphrases

• Amplitude of Low-frequency Fluctuation 20%
• Brain Atlas 100%
• Brain Regions 20%
• Chronic Schizophrenia 20%
• Classification Performance 40%
• Clinical Diagnosis 20%
• Clinical Treatment 20%
• Cross-validation Method 40%
• Degree Centrality 20%
• Diagnostic Evaluation 20%
• Dimensionality Reduction 40%
• Ensemble Learning Method 20%
• First Episode 20%
• First-episode Psychosis 20%
• Gray Matter Volume 40%
• Group-wise 20%
• Human Brain 100%
• Hyperparameters 20%
• Leave-one-out 20%
• Machine Learning Techniques 100%
• Magnetic Resonance Imaging Data 20%
• Magnetic Resonance Imaging Study 100%
• Magnetic Resonance Imaging Techniques 20%
• Multiparametric MRI (mpMRI) 100%
• Patient-centered 20%
• Psychiatric Disease 20%
• Regional Homogeneity 40%
• Schizophrenia 40%
• Schizophrenic Patients 100%
• Temporal Gyrus 20%
• Three-dimensionality 20%
• Treatment Evaluation 20%
• Whole Brain 20%

Computer Science

• Classification Performance 50%
• Degree Centrality 25%
• Dimensionality Reduction 50%
• Ensemble Learning 25%
• Integrated Model 50%
• Machine Learning 100%
• Machine Learning Technique 25%
• Reduction Algorithm 50%
• Schizophrenia Patient 100%
• Validation Method 50%

Neuroscience

• Dementia Praecox 100%
• Gray Matter 33%
• Gyri 16%
• Magnetic Resonance Imaging 100%