Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG

By Vangelis Sakkalis. Comput. Biol. Medicine, 2011

638 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Graph analysis of functional brain networks: practical issues in translational neuroscience (2014, methodology): “these methods can be found in [183] (EEG/MEG) and [184] (fMRI).”
EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations (2019, methodology): “Apart from these studies, network connection patterns could also be used as reliable features in corresponding pattern recognitions, such as clinical disease diagnosis [17]–[20].”
EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy (2019, positive): “Further neuroscientific studies on brain connectivity [30,31], neuroimaging [19], and mental workload estimation [32,33], among others, could be conducted based on our dataset.”
Age-Related Characteristics of Resting-State Electroencephalographic Signals and the Corresponding Analytic Approaches: A Review (2024, background): “In terms of digital signal processing, EEG has excellent temporal resolution but relatively low spatial resolution without additional source-localization methods compared with blood oxygen level-dependent (BOLD) image-based signal techniques [20].”