Prediction of long-term memory scores in MCI based on resting-state fMRI.
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Resting-State Connectivity of the Left Frontal Cortex to the Default Mode and Dorsal Attention Network Supports Reserve in Mild Cognitive Impairment.Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets.Resting-State Functional Connectivity Predicts Cognitive Impairment Related to Alzheimer's Disease.A Set of Functional Brain Networks for the Comprehensive Evaluation of Human Characteristics.Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging
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Prediction of long-term memory scores in MCI based on resting-state fMRI.
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scientific article published on 11 October 2016
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Prediction of long-term memory scores in MCI based on resting-state fMRI.
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Prediction of long-term memory scores in MCI based on resting-state fMRI.
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Prediction of long-term memory scores in MCI based on resting-state fMRI.
@en
Prediction of long-term memory scores in MCI based on resting-state fMRI.
@nl
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Prediction of long-term memory scores in MCI based on resting-state fMRI.
@en
Prediction of long-term memory scores in MCI based on resting-state fMRI.
@nl
P2093
P2860
P50
P1433
P1476
Prediction of long-term memory scores in MCI based on resting-state fMRI.
@en
P2093
Cristelle Rodriguez
Dimitri Van De Ville
Djalel-Eddine Meskaldji
Marie-Louise Montandon
Panteleimon Giannakopoulos
Stephan Morgenthaler
Thomas Aw Bolton
P2860
P304
P356
10.1016/J.NICL.2016.10.004
P577
2016-10-11T00:00:00Z