Open-source system for millisecond-synchronized continuous video-EEG

Arun Raghavan; Andrew Wilson; Christopher Wend; Alice Alexander; Christa Habela; David Nauen

doi:10.1016/j.eplepsyres.2018.05.010

Open-source system for millisecond-synchronized continuous video-EEG

Epilepsy Res. 2018 Sep:145:27-30. doi: 10.1016/j.eplepsyres.2018.05.010. Epub 2018 May 22.

Authors

Arun Raghavan¹, Andrew Wilson², Christopher Wend², Alice Alexander², Christa Habela³, David Nauen⁴

Affiliations

¹ University of Cincinnati College of Medicine, Cincinnati, OH, USA.
² Department of Pathology, Johns Hopkins University, Baltimore, MD, USA.
³ Department of Neurology, Johns Hopkins University, Baltimore, MD, USA.
⁴ Department of Pathology, Johns Hopkins University, Baltimore, MD, USA. Electronic address: [email protected].

Abstract

The causes of epilepsy are incompletely understood, and rodent models enable valuable mechanistic investigations. Synchronized video-electroencephalography (video-EEG) data is critical for clinical assessment of seizure events and is similarly important in basic research on epilepsy, but commercial packages offer limited flexibility and are costly. We've developed and here make freely available OpenVEEG, fully open-source software for millisecond-synchronized video-EEG. With only hardware costs, the system price is approximately one-fifth that of a commercial system with similar capabilities. It is straightforward to use, readily extensible, and records robustly on the time scale of weeks.

Keywords: Open-source; Resource; Rodent model; Video-EEG.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Animals
Disease Models, Animal
Electroencephalography / instrumentation*
Electroencephalography / methods*
Electroencephalography Phase Synchronization / physiology*
Epilepsy / diagnosis*
Epilepsy / physiopathology*
Mice
Mice, Inbred C57BL
Videotape Recording

Abstract

Publication types

MeSH terms

Grants and funding