Multiscale Modeling of EEG/MEG Response of a Compact Cluster of Tightly Spaced Pyramidal Neocortical Neurons

Sergey N. Makarov; Jyrki Ahveninen; Matti Hämäläinen; Yoshio Okada; Gregory M. Noetscher; Aapo Nummenmaa

doi:10.1007/978-3-030-45623-8_11

Multiscale Modeling of EEG/MEG Response of a Compact Cluster of Tightly Spaced Pyramidal Neocortical Neurons

Review

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.

2020 Aug 6.

Authors

Sergey N. Makarov^{1

2}, Jyrki Ahveninen^{2

3}, Matti Hämäläinen^{2

3}, Yoshio Okada^{3

4}, Gregory M. Noetscher¹, Aapo Nummenmaa²

Book Editors

Sergey N. Makarov¹, Gregory M. Noetscher¹, Aapo Nummenmaa²

Affiliations

¹ Electrical and Computer Engineering Department, Worcester Polytechnic Institute, Worcester, MA, USA
² Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
³ Harvard Medical School, Boston, MA, USA
⁴ Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Boston, MA, USA

Book Affiliations

¹ Electrical and Computer Engineering Department, Worcester Polytechnic Institute, Worcester, MA, USA
² Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital, Charlestown, MA, USA

Excerpt

In this study, the boundary element fast multipole method or BEM-FMM is applied to model compact clusters of tightly spaced pyramidal neocortical neurons firing simultaneously and coupled with a high-resolution macroscopic head model. The algorithm is capable of processing a very large number of surface-based unknowns along with a virtually unlimited number of elementary microscopic current dipole sources distributed within the neuronal arbor.

The realistic cluster size may be as large as 10,000 individual neurons, while the overall computation times do not exceed several minutes on a standard server. Using this approach, we attempt to establish how well the conventional lumped-dipole model used in electroencephalography/magnetoencephalography (EEG/MEG) analysis approximates a compact cluster of realistic neurons situated either in a gyrus (EEG response dominance) or in a sulcus (MEG response dominance).

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