Multimodal Neural and Behavioral Data Predict Response to Rehabilitation in Chronic Poststroke Aphasia

Keyphrases

• Behavioral Data 100%
• Neural Data 100%
• Response Predictors 100%
• Chronic Post-stroke 100%
• Post-stroke Aphasia 100%
• Patient Characteristics 66%
• Performance Prediction 66%
• Functional Magnetic Resonance Imaging 66%
• Random Forest Regression 66%
• Support Vector Machine Model 66%
• Training Model 33%
• Resting-state Functional Magnetic Resonance Imaging (rs-fMRI) 33%
• Functional Connectivity 33%
• Demographic Information 33%
• Structural Magnetic Resonance Imaging (sMRI) 33%
• Stroke Rehabilitation 33%
• Language Rehabilitation 33%
• Machine Learning Models 33%
• Language Treatment 33%
• Anatomic 33%
• Resting-state Functional Connectivity (rs-FC) 33%
• Neuroimaging Data 33%
• Standardized Assessment 33%
• Magnetic Resonance Imaging Scan 33%
• Support Vector Machine 33%
• Structural Neuroimaging 33%
• Multimodal Neuroimaging Data 33%
• Prognostic Role 33%
• Aphasia Severity 33%
• Single Feature 33%
• Best Prediction 33%
• F1 Score 33%

Neuroscience

• Aphasia 100%
• Support Vector Machine 75%
• Functional Magnetic Resonance Imaging 50%
• Cerebrovascular Accident 50%
• Functional Neuroimaging 25%
• Resting-State Functional Connectivity 25%
• Functional Connectivity 25%

Psychology

• Aphasia 100%
• Functional Connectivity 50%
• Neuroimaging 50%
• Learning Model 25%
• Resting-State Functional Magnetic Resonance Imaging 25%
• Resting-State 25%
• Structural Magnetic Resonance Imaging 25%
• Functional Magnetic Resonance Imaging 25%