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Article
Computational Characterization of the Cellular Origins of Electroencephalography
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER),
  • Shane Hesprich, Marquette University
  • Scott A. Beardsley, Marquette University
Document Type
Article
Language
eng
Publication Date
1-1-2019
Publisher
The Institute of Electrical and Electronics Engineers
Abstract

Despite the widespread use of Electroecephalography (EEG) as an imaging modality, neural generators of current dipoles measured by EEG at the scalp are not fully understood. Here, we use two morphologically accurate multicompartments neuron models (layer IV pyramidal cell and layer V spiny stellate cell) to characterize how spiking neurons generate current dipoles in response to synaptic input. The simulations indicate that the dipole generated by synaptic inputs required to drive a pyramidal cell to threshold is smaller than the dipole associated the action potential itself. These results suggest a greater role of spiking neural activity toward EEG signals measured at the scalp than typically assumed.

Comments

Accepted version. 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), (March 20-23, 2019): 352-355. DOI. © 2019 The Institute of Electrical and Electronics Engineers. Used with permission.

Citation Information
Shane Hesprich and Scott A. Beardsley. "Computational Characterization of the Cellular Origins of Electroencephalography" 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), (2019) ISSN: 9781538679227
Available at: http://works.bepress.com/scott-beardsley/24/