4 papers · 1 filter
Accurate and efficient Simulation of very high-dimensional Neural Mass Models with distributed-delay Connectome Tensors
A. González-Mitjans, D. Paz-Linares, A. Areces-Gonzalez +4
This paper introduces methods and a novel toolbox that efficiently integrates any high-dimensional Neural Mass Models (NMMs) specified by two essential components. The first is the…
Third Generation MEEG Source Connectivity Analysis Toolbox (BC-VARETA 1.0) and Validation Benchmark
Eduardo Gonzalez-Moreira, Deirel Paz-Linares, Ariosky Areces-Gonzalez +2
This paper presents a new toolbox for MEEG source activity and connectivity estimation: Brain Connectivity Variable Resolution Tomographic Analysis version 1.0 (BC-VARETA 1.0). It…
Caulking the Leakage Effect in MEEG Source Connectivity Analysis
Eduardo Gonzalez-Moreira, Deirel Paz-Linares, Ariosky Areces-Gonzalez +4
Simplistic estimation of neural connectivity in MEEG sensor space is impossible due to volume conduction. The only viable alternative is to carry out connectivity estimation in sou…
Critical comments on EEG sensor space dynamical connectivity analysis
Frederik van de Steen, Luca Faes, Esin Karahan +3
Many different analysis techniques have been developed and applied to EEG recordings that allow one to investigate how different brain areas interact. One particular class of metho…