Canine Epilepsy Dataset

Andrew B. Gardner
,
Ankit N. Khambhati
,
Benjamin H. Brinkmann
,
Beverly K. Sturges
,
Brian Litt
,
Charles H. Vite
,
Drausin Wulsin
,
Emily Fox
,
Erin C. Conrad
,
Gregory Worrell
,
Hoameng Ung
,
John J. McDonnell
,
Joost Wagenaar
,
Kathryn A. Davis
,
Kent Leyde
,
Mark J. Cook
,
Ned Patterson
,
Steven N. Baldassano
,
Tyler Blevins
,
Vanessa Ruedebusch
,
W. Douglas Sheffield

Intracranial EEG recordings from three dogs with naturally-occurring focal epilepsy.

Updated on July 3, 2019 (Version 1)

Corresponding Contributor:

Jacqueline Boccanfuso
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61 Files
263.62 GB
273 Records

Dataset Overview

Canine Epilepsy Dataset

This dataset includes three dogs with naturally occurring focal epilepsy of unknown etiology with secondary generalization. The dogs were normal on physical and neurological exam with no history of trauma. These dogs were implanted with four bilateral 4-contact subdural strip electrodes, a total of 8-contacts over each hemisphere, for chronic iEEG recording from a wireless system manufactured by NeuroVista Inc. (Seattle, Washington). At enrollment, none of the dogs were on antiepileptic medication. These dogs were continuously monitored intracranial EEG for periods of 45.8, 451.9, and 475.7 days respectively. Each dog exhibited similar seizure symptomatology. After dog 1 died from status epilepticus, dogs 2 and 3 were given phenobarbital (2 mg/kg dose twice daily) starting on days 105 and 54,, respectively, significantly reducing seizure frequency and eliminating all further bouts of status epilepticus..

These data have been published on previously (1-5) and are being made available for download for public use and analysis.

BF Dog 1 = Dog 5

BF Dog 2 = Dog 7

BF Dog 3 = Dog 2

These studies were funded by grants through the University of Pennsylvania and Mayo Clinic from National Institutes of Health, the Epilepsy Foundation, the Mirowski Family Foundation, the Ashton Fellowship at the University of Pennsylvania, and from contributions from Neil and Barbara Smit.

Citations

  1. Baldassano SN, Brinkmann BH, Ung H, Blevins T, Conrad EC, Leyde K, Cook MJ, Khambhati AN, Wagenaar JB, Worrell GA, Litt B. Crowdsourcing seizure detection: algorithm development and validation on human implanted device recordings. Brain. 2017 Jun 140(6):1680-1691. PMCID: PMC6075622. Publication

  2. Ung H, Davis KA, Wulsin D, Wagenaar J, Fox E, McDonnell JJ, Patterson N, Vite CH, Worrell G, Litt B. Temporal behavior of seizures and interictal bursts in prolonged intracranial recordings from epileptic canines. Epilepsia. 2016 Dec;57(12):1949-1957. doi: 10.1111/epi.13591. PubMed PMID: 27807850. PMCID: PMC5241889. Publication

  3. Baldassano S, Wulsin D, Ung H, Blevins T, Brown MG, Fox E, Litt B. A novel seizure detection algorithm informed by hidden Markov model event states. J Neural Eng. 2016 Jun;13(3):036011. Epub 2016 Apr 21. PMCID: PMC4888894. Publication

  4. Davis KA, Ung H, Wulsin D, Wagenaar J, Fox E, Patterson N, Vite C, Worrell G, Litt B. Mining continuous intracranial EEG in focal canine epilepsy: Relating interictal bursts to seizure onsets. Epilepsia. 2016 Jan;57(1):89-98. doi: 10.1111/epi.13249. Epub 2015 Nov 26. PMCID: PMC4770560. Publication

  5. Davis KA, Sturges BK, Vite CH, Ruedebusch V, Worrell G, Gardner AB, Leyde K, Sheffield WD, Litt B: A novel implanted device to wirelessly record and analyze continuous intracranial canine EEG. Epilepsy Res. 2011 Sep;96(1-2): 116-22. PMCID: PMC3175300. Publication

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About this dataset

Publishing history

July 3, 2019
Originally Published
July 3, 2019 (Version 1)
Last Updated

Cite this dataset

B. Gardner, A., N. Khambhati, A., H. Brinkmann, B., K. Sturges, B., Litt, B., H. Vite, C., Wulsin, D., Fox, E., C. Conrad, E., Worrell, G., Ung, H., J. McDonnell, J., Wagenaar, J., A. Davis, K., Leyde, K., J. Cook, M., Patterson, N., N. Baldassano, S., Blevins, T., … Douglas Sheffield, W. (2019). Canine Epilepsy Dataset (Version 1) [Dataset]. Pennsieve Discover. https://doi.org/10.26275/JU7V-HNYY