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Review

Combining Noninvasive Electromagnetic and Hemodynamic Measures of Human Brain Activity

Fa-Hsuan Lin  1   2   3 , Thomas Witzel  3 , Matti S. Hämäläinen  3 , Aapo Nummenmaa  3
Sergey N. Makarov  1 , Gregory M. Noetscher  1 , Aapo Nummenmaa  2
, editors.
In: Brain and Human Body Modeling 2020: Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative® 2019 Meeting [Internet]. Cham (CH): Springer; 2021.
.
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Review

Combining Noninvasive Electromagnetic and Hemodynamic Measures of Human Brain Activity

Fa-Hsuan Lin et al.
Free Books & Documents

Excerpt

Magnetoencephalography (MEG) is directly sensitive to postsynaptic neuronal activity with the millisecond temporal resolution. MEG is ideally to complement functional MRI (fMRI), which measures hemodynamic responses secondary to neuronal activity with the millimeter spatial resolution, for noninvasive imaging of human brain function. Here, using the Minimum-Norm Estimate as an example, we review how fMRI can be integrated with MEG (and electroencephalography, EEG) source modeling and summarize potential advantages and pitfalls of this data fusion technique. Neurovascular coupling as the physiological basis for MEG/EEG/fMRI integration is also discussed. Ultimately, we expect to develop multimodal MEG/EEG/fMRI neuroimaging methodology for characterizing spatiotemporal functional connectivity in large-scale neural networks of the human brain with high sensitivity and accuracy.

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References

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