Elsevier

Epilepsy Research

Volume 156, October 2019, 106110
Epilepsy Research

Harmonization of pipeline for detection of HFOs in a rat model of post-traumatic epilepsy in preclinical multicenter study on post-traumatic epileptogenesis

https://doi.org/10.1016/j.eplepsyres.2019.03.008Get rights and content

Highlights

  • Harmonization of surgical techniques and standardization of epidural and intracerebral electrode placements.

  • HFOs were detected from deep and cortical screw electrodes.

  • The algorithm selected is one of the biggest sources of the high-variability in the detections.

  • Progress towards the evaluation of HFOs as an electrophysiological biomarker of PTE in a multi-center design.

Abstract

Studies of chronic epilepsy show pathological high frequency oscillations (HFOs) are associated with brain areas capable of generating epileptic seizures. Only a few of these studies have focused on HFOs during the development of epilepsy, but results suggest pathological HFOs could be a biomarker of epileptogenesis. The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy” (EpiBioS4Rx) is a multi-center project designed to identify biomarkers of epileptogenesis after a traumatic brain injury (TBI) and evaluate treatments that could modify or prevent the development of post-traumatic epilepsy. One goal of the EpiBioS4Rx project is to assess whether HFOs could be a biomarker of post-traumatic epileptogenesis. The current study describes the work towards this goal, including the development of common surgical procedures and EEG protocols, an interim analysis of the EEG for HFOs, and identifying issues that need to be addressed for a robust biomarker analysis. At three participating sites – University of Eastern Finland (UEF), Monash University in Melbourne (Melbourne) and University of California, Los Angeles (UCLA) – TBI was induced in adult male Sprague-Dawley rats by lateral fluid-percussion injury. After injury and in sham-operated controls, rats were implanted with screw and microwire electrodes positioned in neocortex and hippocampus to record EEG. A separate group of rats had serial magnetic resonance imaging after injury and then implanted with electrodes at 6 months. Recordings 28 days post-injury were available from UEF and UCLA, but not Melbourne due to technical issues with their EEG files. Analysis of recordings from 4 rats – UEF and UCLA each had one TBI and one sham-operated control – showed EEG contained evidence of HFOs. Computer-automated algorithms detected a total of 1,819 putative HFOs and of these only 40 events (2%) were detected by all three sites. Manual review of all events verified 130 events as HFO and the remainder as false positives. Review of the 40 events detected by all three sites was associated with 88% agreement. This initial report from the EpiBioS4Rx Consortium demonstrates the standardization of EEG electrode placements, recording protocol and long-term EEG monitoring, and differences in detection algorithm HFO results between sites. Additional work on detection strategy, detection algorithm performance, and training in HFO review will be performed to establish a robust, preclinical evaluation of HFOs as a biomarker of post-traumatic epileptogenesis.

Introduction

Studies involving presurgical patients with epilepsy and rodent models of chronic epilepsy induced by status epilepticus show pathological high-frequency oscillations (HFOs; 80–500 Hz) are associated with epileptogenic tissue, and could play a role in generating seizures (for review see Jacobs et al., 2012; Jiruska et al., 2017). Results from studies that recorded EEG immediately after experimental status epilepticus (SE) suggest HFOs could also play a role in the development of epilepsy (Bragin et al., 2004, 2000; Lévesque et al., 2011). The work by Bragin et al. (2004) found little evidence of HFOs after status in rats that did not develop epilepsy, but prominent HFOs were detected in rats that later developed recurrent spontaneous seizures. Moreover, the sooner HFOs were detected, the sooner the first spontaneous seizure occurred (Bragin et al., 2004). These latter data support a hypothesis that pathological HFOs reflect progressive neuronal disturbances after an epileptogenic brain injury and could be a biomarker of epileptgoenesis.

Post-traumatic epilepsy (PTE) is a serious neurological sequela of traumatic brain injury (TBI) and develops in about 16% of cases of severe TBI (Annegers et al., 1998). Currently there are no biomarkers to predict who will develop PTE, which might not manifest until months or years after a TBI. The lack of biomarkers has hindered the development of new treatments that might modify or prevent PTE. However, recent work in a fluid-percussion injury (FPI) rat model of TBI detected pathological HFOs in the perilesional cortex of some, but not all, TBI rats (Bragin et al., 2007). No pathological HFOs were recorded in control rats. In rats that had long-term EEG recordings, rats that had pathological HFOs within two weeks of TBI later developed spontaneous seizures, and none of the rats without these events developed later seizures. Pathological HFOs, similar to those during epileptogenesis in status epilepticus models, might also reflect epileptogenesis in the FPI model.

The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) is a NINDS-funded, international multi-center project designed to identify biomarkers of epileptogenesis and treatments that could modify the development of PTE. One of the goals of this project will be to determine whether HFOs are a biomarker of epileptogenesis in the rat FPI model. A significant aspect of this work involves the standardization of protocols for the FPI model, the electrodes, and the electrode placements; assessing EEG recording capabilities and algorithms for HFO detection and verification; and identifying issues and generating solutions to solve them, which is described in the current report.

Section snippets

Materials and methods

Three sites from the international NIH-funded Centre without Walls consortium, the Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) (http:// http://epibios.loni.usc.edu/) were involved in the harmonization for EEG recording and HFO analysis in the FPI model. These sites were The University of Eastern Finland (UEF), Monash University in Melbourne (Melbourne) and The University of California, Los Angeles (UCLA).

Surgery for impact and electrode implantation

Review of the surgical reports showed that at UEF 45 rats were randomized to TBI or sham-injury (37 TBI and 8 shams) with a 16% (6/37) post-impact mortality rate. The mean impact pressure was (2.79 ± 0.14 atm). At Melbourne randomization produced 32 TBI and 7 shams rats with a post-impact mortality rate of 59% (19/32). The mean impact pressure at Melbourne was 2.41 ± 0.21 atm. At UCLA randomization produced 32 TBI and 7 shams rats with a post-impact mortality of 59% (19/32). The mean impact

Discussion

This first report from the EpiBioS4Rx Consortium demonstrates the standardized placements of epidural and intracerebral electrodes used to record EEG in TBI and sham-injured rats. Twenty-eight days after electrode implantation, EEG files from 2 of the 3 centers contained bursts of HFOs similar to those found in status-epilepticus models of chronic epilepsy. Different computer-automated detection algorithms and small changes in detection parameters produced different results, and common review

Conclusions

Harmonizing the recording and detection of HFOs is crucial in the EpiBioS4Rx multi-center studies in order to establish robust, clinically translatable electrophysiological biomarkers of PTE. Our interim analysis found variability in the detection and review of HFOs that can be attributed to (1) the EEG signal quality, (2) the choice of algorithm and parameters used to detect HFOs, and (3) the manual review criteria for verifying HFOs. Reducing the variability between sites will involve

Acknowledgement

This research was supported by the National Institute of Neurological Disorders and Stroke (NINDS) Center without Walls of the National Institutes of Health (NIH) under Award Number U54NS100064 (EpiBioS4Rx).

References (16)

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Cited by (16)

  • Preface - Practical and theoretical considerations for performing a multi-center preclinical biomarker discovery study of post-traumatic epileptogenesis: lessons learned from the EpiBioS4Rx consortium

    2019, Epilepsy Research
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    To move the field forward, we not only harmonized preclinical procedures for biomarker discovery in the three EpiBioS4Rx centers, but also performed a rigorous interim analysis of the success of procedural harmonization, which is reported in this virtual special issue. The analysis included success of harmonization of the production of animal model (Ekolle Ndode-Ekane et al., 2019), blood sampling (Kamnaksh et al., 2018), EEG analyses (seizures, high-frequency oscillations) (Casillas-Espinosa et al., 2019; Santana-Gomez et al., 2019), and MRI analysis (Immonen et al., 2019). We also present an informatics approach that developed parameters and applied visualization tools to assess the overall success of harmonization (Ciszek et al., 2018).

  • Harmonization of lateral fluid-percussion injury model production and post-injury monitoring in a preclinical multicenter biomarker discovery study on post-traumatic epileptogenesis

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    The EEG follow-up cohort received cortical and intracranial electrodes (EEG-group). Details of electrode implantation and EEG follow-up have been described in the papers, “Harmonization of pipeline for automated seizure detection for phenotyping of post-traumatic epilepsy in a preclinical multicenter study on post-traumatic epileptogenesis” (Casillas-Espinosa et al., 2019) and “Harmonization of pipeline for detection of HFOs in a rat model of post-traumatic epilepsy in preclinical multicenter study on post-traumatic epileptogenesis” (Santana Gomez et al., 2019). At UEF, 98 rats were used in the MRI-group.

  • Informatics tools to assess the success of procedural harmonization in preclinical multicenter biomarker discovery study on post-traumatic epileptogenesis

    2019, Epilepsy Research
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    In particular, when considering the pre—project activities needed to train the personnel to achieve sufficient procedural harmonization and for collection of preliminary data to predict inter-center procedural variability to be included in power calculations. The detailed methodologies have been presented in accompanying articles by Ekolle Ndode-Ekane et al., (2019) for injury production and post-impact follow-up by Kamnaksh et al. (2018) for blood sampling, Casillas-Espinosa et al. (2019) for EEG analysis, and Santana Gomez et al. (2019) for HFO analysis. The outline of the study design in terms of variables included in this harmonization assessment is presented in Fig. 1.

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This article is part of a special issue ‘Discovery of diagnostic biomarkers for post-traumatic epileptogenesis – an interim analysis of procedures in preclinical multicenter trial EpiBios4Rx’.

1

Contributed equally to this manuscript.

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