Fernando Maestu

FNS: an event-driven spiking neural network simulator based on the LIFL neuron model

Alessandro Cristini, Gianluca Susi, Mario Salerno, 2018 .

Modeling the Switching Behavior of Functional Connectivity Microstates (FCμstates) as a Novel Biomarker for Mild Cognitive Impairment

Ernesto Pereda, Fernando Maestu, Stavros I. Dimitriadis, 2019, bioRxiv.

A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks

Quanzheng Li, Dimitrios Pantazis, Mengjia Xu, 2020, IEEE Transactions on Biomedical Engineering.

MEG delta mapping along the healthy aging-Alzheimer's disease continuum: diagnostic implications.

Alberto Fernández, Stephan Moratti, Fernando Maestu, 2013, Journal of Alzheimer's disease : JAD.

Functional connectivity measured with magnetoencephalography identifies persons with HIV disease

Lauri Parkkonen, Anto Bagic, Ricardo Bajo, 2012, Brain Imaging and Behavior.

Increased biomagnetic activity in healthy elderly with subjective memory complaints

Fernando Maestu, Angel Nevado, Nuria Paul, 2011, Clinical Neurophysiology.

Magnetoencephalography as a Putative Biomarker for Alzheimer's Disease

James T. Becker, Eero Pekkonen, C. J. Stam, 2011, International journal of Alzheimer's disease.

Structural and Functional Patterns in Healthy Aging, Mild Cognitive Impairment, and Alzheimer Disease

Ariadna Besga, Alberto Fernández, Fernando Maestu, 2010, Alzheimer disease and associated disorders.

IC-P-046 Magnetoencephalography (MEG) parietal delta dipole density in mild cognitive impairment: Preliminary results of a method to estimate the risk of developing Alzheimer’s disease

Alberto Fernández, Pablo Campo, Fernando Maestu, 2006, Alzheimer's & Dementia.