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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Библиографические подробности
Опубликовано в: :Front Neurosci
Главные авторы: Dimitriadis, Stavros I., López, María E., Bruña, Ricardo, Cuesta, Pablo, Marcos, Alberto, Maestú, Fernando, Pereda, Ernesto
Формат: Artigo
Язык:Inglês
Опубликовано: Frontiers Media S.A. 2018
Предметы:
Neuroscience
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC5992286/
https://ncbi.nlm.nih.gov/pubmed/29910704
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00306
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