Frequency-dependent characterisation of impedance changes during epileptiform activity in a rat model of epilepsy
File(s)Hannan_2018_Physiol._Meas._39_085003.pdf (2.05 MB)
Published version
Author(s)
Hannan, Sana
Faulkner, Mayo
Aristovich, Kirill
Avery, James
Holder, David
Type
Journal Article
Abstract
OBJECTIVE: Electrical impedance tomography (EIT) can be used to image impedance changes associated with epileptiform activity and so holds therapeutic potential for improving presurgical localisation of the ictal onset zone in patients with treatment-resistant epilepsy. There are two principal impedance changes which occur during seizures that may be imaged with EIT: (a) a fast, transient impedance decrease over milliseconds due to hypersynchronous neuronal depolarisation in individual ictal discharges; and (b) a larger, slow impedance increase caused by cell swelling over the course of the seizure. The magnitude of these signals is highly dependent on the carrier frequency of applied current used for obtaining impedance measurements. The purpose of this work was to characterise the frequency response of the fast and slow impedance changes during epileptiform activity. APPROACH: Seizures were induced in anaesthetised rats by electrically stimulating the cerebral cortex. During each seizure, impedance measurements were obtained by delivering 50 µA, through two electrodes on an epicortical array, at one of 20 frequencies in the 1-10 kHz range. Recordings were demodulated to determine the magnitude of fast and slow impedance responses at each frequency. MAIN RESULTS: The fast impedance change during averaged ictal discharges reached a maximal amplitude and signal-to-noise ratio (SNR) of -0.36% ± 0.05% and 50.2 ± 11.3, respectively, at 1355 Hz. At this frequency, the slow impedance change had an amplitude of 4.61% ± 1.32% and an SNR of 545 ± 125, which did not significantly change across frequency (p > 0.01). SIGNIFICANCE: We conclude that the optimal frequency for imaging epileptiform activity is 1355 Hz, which maximises the SNR of fast neural changes whilst enabling simultaneous measurement of slow changes. These findings will inform future investigations aimed at imaging epilepsy in subcortical brain structures, where SNR is considerably reduced, and those using parallel, multi-frequency EIT.
Date Issued
2018-08-01
Date Acceptance
2018-07-28
Citation
Physiological Measurement, 2018, 39 (8)
ISSN
0967-3334
Publisher
IOP Publishing
Journal / Book Title
Physiological Measurement
Volume
39
Issue
8
Copyright Statement
© 2018 Institute of Physics and Engineering in Medicine. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/30047486
Subjects
Science & Technology
Life Sciences & Biomedicine
Technology
Biophysics
Engineering, Biomedical
Physiology
Engineering
electrical impedance tomography
epilepsy
seizure
ictal discharge
cerebral cortex
ELECTRICAL-IMPEDANCE
SPREADING DEPRESSION
CEREBRAL-CORTEX
SEIZURES
TOMOGRAPHY
BRAIN
CONDUCTIVITY
NEURONS
Animals
Disease Models, Animal
Electric Impedance
Electrodes
Epilepsy
Female
Rats
Rats, Sprague-Dawley
Reproducibility of Results
Tomography
Animals
Rats
Rats, Sprague-Dawley
Epilepsy
Disease Models, Animal
Tomography
Reproducibility of Results
Electrodes
Electric Impedance
Female
Biomedical Engineering
0903 Biomedical Engineering
0906 Electrical and Electronic Engineering
1116 Medical Physiology
Publication Status
Published
Coverage Spatial
England
Article Number
ARTN 085003
Date Publish Online
2018-08-20