Cortical Signal Suppression (CSS) for Detection of Subcortical Activity Using MEG and EEG
Sign Up to like & getrecommendations! Published in 2018 at "Brain Topography"
DOI: 10.1007/s10548-018-00694-5
Abstract: Magnetoencephalography (MEG) and electroencephalography (EEG) use non-invasive sensors to detect neural currents. Since the contribution of superficial neural sources to the measured M/EEG signals are orders-of-magnitude stronger than the contribution of subcortical sources, most MEG… read more here.
Keywords: meg eeg; method; cortical signal; brain ... See more keywords
Copper involvement in glutamatergic transmission in physiology and disease as revealed by magnetoencephalography/electroencephalography (MEG/EEG) studies
Sign Up to like & getrecommendations! Published in 2019 at "Aging Clinical and Experimental Research"
DOI: 10.1007/s40520-019-01402-4
Abstract: Alzheimer’s disease (AD) is the most common cause of dementia in the elderly. The sporadic late onset form of the disease is a multifactorial complex disorder influenced by genetic and environmental factors. Evidence about the… read more here.
Keywords: meg eeg; magnetoencephalography electroencephalography; disease; revealed magnetoencephalography ... See more keywords
Applying stochastic spike train theory for high-accuracy human MEG/EEG
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2020.108743
Abstract: BACKGROUND The accuracy of electroencephalography (EEG) and magnetoencephalography (MEG) in measuring neural evoked responses (ERs) is challenged by overlapping neural sources. This lack of accuracy is a severe limitation to the application of ERs to… read more here.
Keywords: meg eeg; theory; neural sources; accuracy ... See more keywords
Hierarchical multiscale Bayesian algorithm for robust MEG/EEG source reconstruction
Sign Up to like & getrecommendations! Published in 2018 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2018.07.056
Abstract: &NA; In this paper, we present a novel hierarchical multiscale Bayesian algorithm for electromagnetic brain imaging using magnetoencephalography (MEG) and electroencephalography (EEG). In particular, we present a solution to the source reconstruction problem for sources… read more here.
Keywords: bayesian algorithm; source; algorithm; meg eeg ... See more keywords
Reproducibility of Rolandic beta rhythm modulation in MEG and EEG
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neurophysiology"
DOI: 10.1152/jn.00267.2021
Abstract: The Rolandic beta rhythm, at ~20 Hz, is generated in the somatosensory and motor cortices and is modulated by motor activity and sensory stimuli, causing a short lasting suppression that is followed by a rebound… read more here.
Keywords: meg eeg; beta rhythm; rhythm modulation; beta ... See more keywords
Modified MRI Anonymization (De-Facing) for Improved MEG Coregistration
Sign Up to like & getrecommendations! Published in 2022 at "Bioengineering"
DOI: 10.3390/bioengineering9100591
Abstract: Localising the sources of MEG/EEG signals often requires a structural MRI to create a head model, while ensuring reproducible scientific results requires sharing data and code. However, sharing of structural MRI data often requires removal… read more here.
Keywords: structural mri; mri; modified mri; coregistration ... See more keywords