EEG/MEG source imaging using fMRI informed time‐variant constraints
Sign Up to like & getrecommendations! Published in 2018 at "Human Brain Mapping"
DOI: 10.1002/hbm.23945
Abstract: Multimodal functional neuroimaging by combining functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) or magnetoencephalography (MEG) is able to provide high spatiotemporal resolution mapping of brain activity. However, the accuracy of fMRI‐constrained EEG/MEG source imaging… read more here.
Keywords: fmri; source; eeg meg; source imaging ... See more keywords
Robust EEG/MEG Based Functional Connectivity with the Envelope of the Imaginary Coherence: Sensor Space Analysis
Sign Up to like & getrecommendations! Published in 2018 at "Brain Topography"
DOI: 10.1007/s10548-018-0640-0
Abstract: The brain’s functional connectivity (FC) estimated at sensor level from electromagnetic (EEG/MEG) signals can provide quick and useful information towards understanding cognition and brain disorders. Volume conduction (VC) is a fundamental issue in FC analysis… read more here.
Keywords: coherence; envelope imaginary; analysis; eeg meg ... See more keywords
EEG, MEG and neuromodulatory approaches to explore cognition: Current status and future directions
Sign Up to like & getrecommendations! Published in 2021 at "Brain and Cognition"
DOI: 10.1016/j.bandc.2020.105677
Abstract: Neural oscillations and their association with brain states and cognitive functions have been object of extensive investigation over the last decades. Several electroencephalography (EEG) and magnetoencephalography (MEG) analysis approaches have been explored and oscillatory properties have been… read more here.
Keywords: meg neuromodulatory; explore cognition; eeg meg; approaches explore ... See more keywords
Localizing bicoherence from EEG and MEG
Sign Up to like & getrecommendations! Published in 2018 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2018.01.044
Abstract: ABSTRACT We propose a new method for the localization of nonlinear cross‐frequency coupling in EEG and MEG data analysis, based on the estimation of bicoherences at the source level. While for the analysis of rhythmic… read more here.
Keywords: localizing bicoherence; analysis; eeg meg; bicoherence eeg ... See more keywords
Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2018.2889512
Abstract: Objective: Interpretation of the electroencephalographic (EEG) and magnetoencephalographic (MEG) signals requires off-line artifacts removal. Since artifacts share frequencies with brain activity, filtering is insufficient. Blind source separation, mainly through independent component analysis (ICA), is the… read more here.
Keywords: automatic classification; eeg meg; multi channel; classification ... See more keywords
Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Neurology"
DOI: 10.3389/fneur.2019.00721
Abstract: The evolution of EEG/MEG source connectivity is both, a promising, and controversial advance in the characterization of epileptic brain activity. In this narrative review we elucidate the potential of this technology to provide an intuitive… read more here.
Keywords: network; source; eeg meg; meg source ... See more keywords
A Novel Approach to Estimating the Cortical Sources of Sleep Spindles Using Simultaneous EEG/MEG
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurology"
DOI: 10.3389/fneur.2022.871166
Abstract: Sleep spindles, defining oscillations of stage II non-rapid eye movement sleep (N2), mediate sleep-dependent memory consolidation. Spindles are disrupted in several neurodevelopmental, neuropsychiatric, and neurodegenerative disorders characterized by cognitive impairment. Increasing spindles can improve memory… read more here.
Keywords: simultaneous eeg; source; sleep spindles; eeg meg ... See more keywords
Functional Brain Connectivity of Language Functions in Children Revealed by EEG and MEG: A Systematic Review
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2020.00062
Abstract: The development of language functions is of great interest to neuroscientists, as these functions are among the fundamental capacities of human cognition. For many years, researchers aimed at identifying cerebral correlates of language abilities. More… read more here.
Keywords: connectivity; systematic review; eeg meg; meg ... See more keywords
A Comparative Study on the Detection of Covert Attention in Event-Related EEG and MEG Signals to Control a BCI
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2017.00575
Abstract: In brain-computer interface (BCI) applications the detection of neural processing as revealed by event-related potentials (ERPs) is a frequently used approach to regain communication for people unable to interact through any peripheral muscle control. However,… read more here.
Keywords: eeg meg; covert attention; event related; meg ... See more keywords
Editorial: Challenges to EEG/MEG graph analysis and how to face them
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2023.1200867
Abstract: COPYRIGHT © 2023 Blinowska, Baccala, Kaminski and Sameshima. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted,… read more here.
Keywords: meg graph; editorial challenges; challenges eeg; analysis face ... See more keywords