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Correlates of a single cortical action potential in the epidural EEG

Lookup NU author(s): Professor Stuart BakerORCiD



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


To identify the correlates of a single cortical action potential in surface EEG, we recorded simultaneously epidural EEG and single-unit activity in the primary somatosensory cortex of awake macaque monkeys. By averaging over EEG segments coincident with more than hundred thousand single spikes, we found short-lived (approximate to 0.5 ms) triphasic EEG deflections dominated by high-frequency components >800 Hz. The peak-to-peak amplitude of the grand-averaged spike correlate was 80 nV, which matched theoretical predictions, while single-neuron amplitudes ranged from 12 to 966 nV. Combining these estimates with post-stimulus-time histograms of single-unit responses to median-nerve stimulation allowed us to predict the shape of the evoked epidural EEG response and to estimate the number of contributing neurons. These findings establish spiking activity of cortical neurons as a primary building block of high-frequency epidural EEG, which thus can serve as a quantitative macroscopic marker of neuronal spikes. (C) 2015 The Authors. Published by Elsevier Inc.

Publication metadata

Author(s): Telenczuk B, Baker SN, Kempter R, Curio G

Publication type: Article

Publication status: Published

Journal: NeuroImage

Year: 2015

Volume: 109

Pages: 357-367

Print publication date: 01/04/2015

Online publication date: 29/12/2014

Acceptance date: 19/12/2014

Date deposited: 29/06/2015

ISSN (print): 1053-8119

ISSN (electronic): 1095-9572

Publisher: Elsevier


DOI: 10.1016/j.neuroimage.2014.12.057

PubMed id: PMC4349634


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Funder referenceFunder name
01GQ0851Bundesministerium fur Bildung und Forschung (Bernstein Focus Neurotechnology Berlin)
01GQ1001ABundesministerium fur Bildung und Forschung (BMBF: Bernstein Center for Computational Neuroscience Berlin)
01GQ1001CBundesministerium fur Bildung und Forschung (BMBF: Bernstein Center for Computational Neuroscience Berlin)
01GQ0972Bundesministerium fur Bildung und Forschung (Bernstein Focus "Neuronal Basis of Learning")
101002/Z/13/ZWellcome Trust
FP7-269921European Community (BrainScales project)
SFB 618Deutsche Forschungsgemeinschaft (DFG)
101002/Z/13/ZWellcome Trust