Multivariate pattern analysis strategies in detection of remitted major depressive disorder using resting state functional connectivity

Keyphrases

• Major Depressive Disorder 100%
• Resting-state Functional Connectivity (rs-FC) 100%
• Remitted Major Depressive Disorder 100%
• Multivariate Pattern Analysis 100%
• Healthy Controls 50%
• Resting-state Functional Magnetic Resonance Imaging (rs-fMRI) 50%
• Elastic Net 50%
• Feature Selection Methods 50%
• Early Diagnosis 25%
• Functional Connection 25%
• Early Intervention 25%
• Posterior Cingulate Cortex 25%
• Between-person 25%
• Early Prevention 25%
• Targeting Mechanism 25%
• Early Adults 25%
• Adult Age 25%
• Illness Onset 25%
• Neuroimaging Markers 25%
• Ventral Striatum 25%
• Dorsolateral Prefrontal Cortex (DLPFC) 25%
• Distributed Brain Network 25%
• Feature Selection 25%
• Left Amygdala 25%
• Cognitive Control Network 25%
• High Classification Accuracy 25%
• Leave-one-out 25%
• Default Mode 25%
• Least Absolute Shrinkage and Selection Operator (LASSO) 25%
• Support Vector Machine Classifier 25%
• Mode Control 25%
• Support Vector Machine Classification 25%
• Probing Mechanism 25%
• Operator Net 25%

Neuroscience

• Major Depressive Disorder 100%
• Resting-State Functional Connectivity 100%
• Support Vector Machine 40%
• Functional Magnetic Resonance Imaging 40%
• Cingulate Cortex 20%
• Prefrontal Cortex 20%
• Amygdala 20%
• Ventral Striatum 20%
• Brain Network 20%
• Posterior Cingulate 20%
• Executive Function 20%