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related 3.81 — strongly supporting 13 facts
Electroencephalography (EEG) and Magnetoencephalography (MEG) are both high temporal resolution neuroimaging techniques frequently used in tandem for neuroscience research, as evidenced by their shared application in studies [1], [2], and [3]. They are often processed using the same software packages [4], [5] and analyzed with similar statistical and signal processing methods [6], [7], [8], [9].
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Adversarial testing of global neuronal workspace and ... - Nature nature.com 6 facts
referenceThe MNE software package is designed for processing MEG and EEG data, as described in Gramfort et al., NeuroImage 86, 446–460 (2014).
referenceEngemann and Gramfort (2015) describe automated model selection in covariance estimation and spatial whitening of MEG and EEG signals in NeuroImage 108, 328–342.
referenceMaris and Oostenveld (2007) describe nonparametric statistical testing methods for EEG and MEG data.
referenceMultivariate pattern analysis (MVPA) can be used to compare representational structures in time and space for MEG and EEG data.
procedureHead position on the MEG system was monitored using four HPI coils placed on the EEG cap, positioned next to the left and right mastoids and over the left and right frontal areas, measured at the start and end of each run and before and after each resting period.
measurementMEG and EEG data were bandpass filtered between 0.01 and 330 Hz and sampled at a rate of 1,000 Hz during acquisition.
Neuro-insights: a systematic review of neuromarketing perspectives ... frontiersin.org 2 facts
claimMagnetoencephalography (MEG) is often considered to have excellent time resolution and to capture deeper neural activity better than Electroencephalography (EEG).
claimMarketing and consumer research increasingly utilize neurometric techniques, including fMRI, EEG, MEG, SST, TMS, fNIRS, and PET, to understand consumer decision-making processes.
Protocol for testing global neuronal workspace and integrated ... journals.plos.org 2 facts
referenceThe paper 'FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data' was published by Oostenveld R, Fries P, Maris E, and Schoffelen J-M in Computational Intelligence and Neuroscience in 2011 (Volume 2011, Article 156869, PMID 21253357).
procedureThe Cogitate research project tested predictions regarding consciousness theories in 250 subjects using fMRI, EEG, MEG, and implanted ECoG electrodes, employing several decoding analyses.
Neuroimaging in psychedelic drug development: past, present, and ... nature.com 1 fact
claimNeuroscience studies on psychedelic drugs have primarily utilized functional Magnetic Resonance Imaging (fMRI), with ancillary research employing Magnetoencephalography (MEG) or Electroencephalography (EEG).
Exploring “lucid sleep” and altered states of consciousness using ... philosophymindscience.org 1 fact
referenceFieldTrip is an open-source software package designed for the advanced analysis of MEG, EEG, and invasive electrophysiological data, as described by Oostenveld, Fries, Maris, and Schoffelen (2011).
A Synergistic Workspace for Human Consciousness Revealed by ... elifesciences.org 1 fact
claimTime-resolved extensions of the synergistic workspace framework, such as those developed by Varley and colleagues, may clarify the dynamics of the synergistic workspace when combined with high temporal resolution neuroimaging like magnetoencephalography or electroencephalography.