Integrating MEG, EEG and fMRI data

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Results motor strong motor weak painful I 1 I 5 I 9 SI - increase in amplitude from I1 to I5, then saturation: increasing synchronization mechanism of post-synaptic potentials, then “ceiling” effect on the involved myelinated Aβ fibers (nociceptive innervation in SI mainly represented by much slower Aδ and C unmyelinated fibres) SII - decrease for strong motor stimulation: “gating” effect due to the poor nociceptive specificity of the electrical stimulation involving possible interference in the evoked activation of the “non painful” and “painful” populations; increase for weak painful stim.: stronger attention to the stimulus, and amount of activated “non painful” neurons decreasing with the “gating” effect •Possible existence of two adjacent neuronal pools indistinguishable by MEG
Exp.2 – identification of anterior and posterior SII: spatial features, fMRI study Activation for non-painful stimuli cSI cSIIa iSIIa Ferretti et al., NeuroImage, 2003
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 15 and 16: Integration of fMRI-EEG (MRP) with
Page 17: Exp.1 - Effect of stimulus intensit
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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