Integrative analysis of blood metabolomics and PET brain neuroimaging data for Parkinson's disease

Keyphrases

• Parkinson's Disease 100%
• Integrative Analysis 100%
• Metabolic Signature 100%
• Metabolomics Data 100%
• Neuroimaging Data 100%
• Blood Metabolomics 100%
• Brain Neuroimaging 100%
• Parkinson Patients 66%
• Metabolomics 66%
• Performance Prediction 66%
• Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) 66%
• 18F-DOPA PET 66%
• Oxidative Stress 33%
• Inflammation 33%
• Receiver Operating Characteristic Analysis 33%
• Oxidative Inflammation 33%
• Healthy Controls 33%
• Gas Chromatography-mass Spectrometry 33%
• Diagnostic Potential 33%
• Oxidative Stress Response 33%
• Image Features 33%
• Two-machine 33%
• Receiver Operating Characteristic Curve 33%
• PET Imaging 33%
• Leave-one-out 33%
• Cross-validation Method 33%
• Patient Assessment 33%
• Machine Learning Approach 33%
• Machine Learning 33%
• Random Forest 33%
• Follow-up Examination 33%
• Receiver Operating Characteristic 33%
• Joint Analysis 33%
• Discrimination Power 33%
• Linear Support Vector Machine 33%
• Molecular Neuroimaging 33%
• 18F-DOPA 33%
• Metabolite Changes 33%
• Cellular Process 33%
• Diagnostic Process 33%
• Metabolite Profile 33%
• Blood Plasma Samples 33%
• Metabolic Imaging 33%

Neuroscience

• Parkinson's Disease 100%
• Positron Emission Tomography 100%
• Oxidative Stress 33%
• Diagnosis of Parkinson's Disease 16%
• Support Vector Machine 16%
• Mass Spectrometry 16%
• Positron Emission Tomography 16%
• Blood Plasma 16%
• Gas Chromatography 16%
• Cellular Processes 16%

Biochemistry, Genetics and Molecular Biology

• Metabolomics 100%
• Oxidative Stress 18%
• Metabolite 9%
• Support Vector Machine 9%
• Mass Spectrometry 9%
• Random Forest 9%
• Positron Emission Tomography 9%
• Blood Plasma 9%
• Gas Chromatography 9%