Research ArticleNo Access

The Relationship Between Ictal Multi-Unit Activity and the Electrocorticogram

Tahra L. Eissa

Committee on Neurobiology, University of Chicago, 5801 S Ellis Ave, Chicago, IL 60637, USA

Department of Neurology, Columbia University, New York 10032, NY, USA

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Catherine A. Schevon

Department of Neurology, Columbia University, 710 W 168th St, New York 10032, NY, USA

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Ronald G. Emerson

Department of Neurology, Columbia University, 710 W 168th St, New York 10032, NY, USA

Department of Neurology, Weill Cornell Medical College, New York 10021, NY, USA

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Guy M. Mckhann, JR.

Department of Neurological Surgery, Columbia University, 710 W 168th St, New York 10032, NY, USA

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Robert R. Goodman

Department of Neurological Surgery, Columbia University, 710 W 168th St, New York 10032, NY, USA

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York 10029, NY, USA

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, and

Wim Van Drongelen

Department of Pediatrics, University of Chicago, 900 E 57th St, Chicago, IL 60637, USA

E-mail Address: wvandronpeds.bsd.uchicago.edu

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https://doi.org/10.1142/S0129065718500272Cited by:4 (Source: Crossref)

Abstract

During neocortical seizures in patients with epilepsy, microelectrode array recordings from the ictal core show a strong correlation between the fast, cellular spiking activities and the low-frequency component of the potential field, reflected in the electrocorticogram (ECoG). Here, we model the relationship between the cellular spike activity and this low-frequency component as the input and output signals of a linear time invariant system. Our approach is based on the observation that this relationship can be characterized by a so-called sinc function, the unit impulse response of an ideal (brick-wall) filter. Accordingly, using a brick-wall filter, we are able to convert ictal cellular spike inputs into an output that significantly correlates with the observed seizure activity in the ECoG $(r = 0.40 - 0.56, p < 0.01)$ , while ECoG recordings of subsequent seizures within patients also show significant, but lower, correlations $(r = 0.10 - 0.30, p < 0.01)$ . Furthermore, we can produce seizure-like output signals using synthetic spike trains with ictal properties. We propose a possible physiological mechanism to explain the observed properties associated with an ideal filter, and discuss the potential use of our approach for the evaluation of anticonvulsant strategies.

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