Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators

Keyphrases

• Resting-state Functional Magnetic Resonance Imaging (rs-fMRI) 100%
• Subject-level 100%
• Parcellation 100%
• Shrinkage Estimator 100%
• Increased Reliability 100%
• Subject-specific 50%
• Single Subject 33%
• Test-retest 33%
• Brain Parcellation 33%
• Human Brain 16%
• Functional Magnetic Resonance Imaging 16%
• Clustering Methods 16%
• Region of Interest 16%
• Motor Cortex 16%
• Large Population 16%
• Simulated Dataset 16%
• Preprocessing Techniques 16%
• Clustering Algorithm 16%
• High Reliability 16%
• Borrowing Strength 16%
• Low Signal-to-noise Ratio 16%
• Distance Measure 16%
• Empirical Bayes 16%
• Group Level 16%
• Clustering Approach 16%
• Short Scan 16%
• Similarity Measure 16%
• Agnostic 16%
• Spectral Clustering 16%
• Network Node 16%
• Multiple Scans 16%
• Scan Length 16%
• Bayes Shrinkage Estimator 16%

Neuroscience

• Functional Magnetic Resonance Imaging 100%
• Motor Cortex 25%
• Signal-to-Noise Ratio 25%