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Complex spatio-temporal features in meg data
Published 2006-07-01“…Magnetoencephalography (MEG) brain signals are studied usinga method for characterizing complex nonlinear dynamics. …”
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Beyond sensitivity: what are the enabling opportunities of OPM-MEG?
Published 2025-01-01“…Rather than present solutions, this article will highlight the challenges faced by conventional SQUID-based cryo-MEG and explore the potential avenues for OPM-MEG to make a positive impact to the field of pediatric neuroscience.…”
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Effect of Zolpidem in the Aftermath of Traumatic Brain Injury: An MEG Study
Published 2020-01-01“…MEG is an informative and sensitive tool to detect changes in brain activity for TBI.…”
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Scanning Reduction Strategy in MEG/EEG Beamformer Source Imaging
Published 2012-01-01“…MEG/EEG beamformer source imaging is a promising approach which can easily address spatiotemporal multi-dipole problems without a priori information on the number of sources and is robust to noise. …”
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Neural correlates of the non-optimal price: an MEG/EEG study
Published 2025-01-01Subjects: Get full text
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DeepReducer: A linear transformer-based model for MEG denoising
Published 2025-03-01Subjects: “…MEG…”
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Repairbads: An automatic and adaptive method to repair bad channels and segments for OPM-MEG
Published 2025-02-01Subjects: “…Magnetoencephalography (MEG)…”
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Extended homogeneous field correction method based on oblique projection in OPM-MEG
Published 2025-02-01Subjects: “…Magnetoencephalography(MEG)…”
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Deep Learning Approach for Automatic Classification of Ocular and Cardiac Artifacts in MEG Data
Published 2018-01-01“…From independent components, the model uses both the spatial and temporal information of the decomposed magnetoencephalography (MEG) data. In total, 7122 samples were used after data augmentation, in which task and nontask related MEG recordings from 48 subjects served as the database for this study. …”
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Dynamic effects and information quantifiers of statistical memoryof MEG's signals at photosensitive epilepsy
Published 2008-11-01“…The time series analysis of magnetoencephalographic (MEG) signalsis very important both for basic brain research and for medicaldiagnosis and treatment. …”
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Cerebellar and Hippocampal Activation During Eyeblink Conditioning Depends on the Experimental Paradigm: A MEG Study
Published 2003-01-01“…We conducted a differential conditioning study to explore the suitability of the design for magnetencephalography (MEG). In addition, we compared cerebellar and hippocampal activation during differential delay and trace conditioning. …”
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Fast EEG/MEG BEM-based forward problem solution for high-resolution head models
Published 2025-02-01Subjects: “…Magnetoencephalography (MEG)…”
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WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis
Published 2025-02-01“…Given the depth of neuroimaging phenotyping, leveraging ultra-high-gradient, high-field MRI, MEG and TMS, this dataset will facilitate multi-scale and multi-modal investigations of the healthy human brain.…”
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The impact of channel density, inverse solutions, connectivity metrics and calibration errors on OPM-MEG connectivity analysis: A simulation study
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Editorial: Multimodal approaches to investigating neural dynamics in cognition and related clinical conditions: integrating EEG, MEG, and fMRI data
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Closely Spaced MEG Source Localization and Functional Connectivity Analysis Using a New Prewhitening Invariance of Noise Space Algorithm
Published 2016-01-01“…This paper proposed a prewhitening invariance of noise space (PW-INN) as a new magnetoencephalography (MEG) source analysis method, which is particularly suitable for localizing closely spaced and highly correlated cortical sources under real MEG noise. …”
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MEG3 Alleviated LPS-Induced Intestinal Injury in Sepsis by Modulating miR-129-5p and Surfactant Protein D
Published 2020-01-01“…In our present study, we investigated the biological function of MEG3 in sepsis, especially during the intestinal injury. …”
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