Integrating MEG, EEG and fMRI data

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Sensorimotor EEG-MEG data can be “fused” in a finger movement paradigm, using the LE approach Regularization of LE permits to infer the time course of the source current density and to better discriminate the contribution from different neural districts in the pre- and postmotor period (Babiloni et al., Human Brain Mapping 2001)
Integration of fMRI-EEG (MRP) with regularization of LE allows better identification of the active areas, if we add the fMRI constraints Right index finger movement
Page 1 and 2: MEG/EEG Brain Mapping Course HBM200
Page 3 and 4: MEG and fMRI equipment at ITAB - Un
Page 5 and 6: fMRI - MEG (EEG) relationship fMRI
Page 7 and 8: Basic methods
Page 9 and 10: How can we integrate MEG, EEG, and
Page 11 and 12: How can we integrate MEG, EEG, and
Page 13: How can we integrate MEG, EEG, and
Page 17 and 18: Exp.1 - Effect of stimulus intensit
Page 19 and 20: Exp.2 - identification of anterior
Page 21 and 22: Results • Evidence for a spatial
Page 23 and 24: Identification of anterior and post
Page 25 and 26: Results Mean Latencies ms 90 88 86
Page 27 and 28: Passive listening to sounds from di
Page 29 and 30: Passive listening to sounds from di
Page 31 and 32: A MEG coherence study on the same g
Page 33 and 34: Pyramidal neurons: only 1% of these
Page 35 and 36: Neural plasticity after stroke MEG

Integrating MEG, EEG and fMRI data

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