@article{d037ad1ca967439d84b4ed3bd86b0cf9,
title = "A multicenter study of the early detection of synaptic dysfunction in Mild Cognitive Impairment using Magnetoencephalography-derived functional connectivity",
keywords = "Magnetoencephalography, Mild Cognitive Impairment, Functional connectivity, Data mining, Machine learning, Synaptic dysfunction, Multicenter study, SIGNAL SPACE SEPARATION, RESTING-STATE FMRI, ALZHEIMERS-DISEASE, NEURODEGENERATION, CLASSIFICATION, VALIDATION, NETWORK, 3112 Neurosciences, 3124 Neurology and psychiatry",
author = "Fernando Maestu and Jose-Maria Pena and Pilar Garces and Santiago Gonzalez and Ricardo Bajo and Anto Bagic and Pablo Cuesta and Michael Funke and Makela, {Jyrki P.} and Ernestina Menasalvas and Akinori Nakamura and Lauri Parkkonen and Lopez, {Maria E.} and {del Pozo}, Francisco and Gustavo Sudre and Edward Zamrini and Eero Pekkonen and Henson, {Richard N.} and Becker, {James T.} and {Magnetoencephalography Int}",
year = "2015",
doi = "10.1016/j.nicl.2015.07.011",
language = "English",
volume = "9",
pages = "103--109",
journal = "NeuroImage: Clinical",
issn = "2213-1582",
publisher = "ELSEVIER SCI IRELAND LTD",
}