TY  - JOUR
AU  - López García, María Eugenia
AU  - Bruña Fernández, Ricardo
AU  - Cuesta Prieto, Pablo
AU  - Marcos Dolado, Alberto
AU  - Maestu Unturbe, Fernando
PY  - 2018
DO  - 10.3389/fnins.2018.00306
SN  - 1662-4548
UR  - https://hdl.handle.net/20.500.14352/100165
T2  - Frontiers in Neuroscience
AB  - 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...
LA  - eng
M2  - 306
PB  - Frontiers
KW  - Connectomic biomarker
KW  - Magnetoencephalography
KW  - Mild cognitive impairment
KW  - Virtual source activity
KW  - Connectome data analysis
KW  - Multiplexity
KW  - Cross-frequency-coupling
KW  - Intrinsic coupling modes
TI  - 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
TY  - journal article
VL  - 12
ER  -