How to Build a Functional Connectomic Biomarker for Mild Cognitive Impairment From Source Reconstructed MEG Resting-State Activity: The Combination of ROI Representation and Connectivity Estimator Matters

Our work aimed to demonstrate the combination of machine learning and graph theory for the designing of a connectomic biomarker for mild cognitive impairment (MCI) subjects using eyes-closed neuromagnetic recordings. The whole analysis based on source-reconstructed neuromagnetic activity. As ROI rep...

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Bibliographic Details
Main Authors: Stavros I. Dimitriadis, María E. López, Ricardo Bruña, Pablo Cuesta, Alberto Marcos, Fernando Maestú, Ernesto Pereda
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-06-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2018.00306/full