Prediction of long-term memory scores in MCI based on resting-state fMRI.
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ABSTRACT:
SUBMITTER: Meskaldji DE
PROVIDER: S-EPMC5079359 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
Publications
Prediction of long-term memory scores in MCI based on resting-state fMRI.
Meskaldji Djalel-Eddine DE Preti Maria Giulia MG Bolton Thomas Aw TA Montandon Marie-Louise ML Rodriguez Cristelle C Morgenthaler Stephan S Giannakopoulos Panteleimon P Haller Sven S Van De Ville Dimitri D
NeuroImage. Clinical 20161011
Resting-state functional MRI (rs-fMRI) opens a window on large-scale organization of brain function. However, establishing relationships between resting-state brain activity and cognitive or clinical scores is still a difficult task, in particular in terms of prediction as would be meaningful for clinical applications such as early diagnosis of Alzheimer's disease. In this work, we employed partial least square regression under cross-validation scheme to predict episodic memory performance from ...[more]
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