Automated analysis of brain activity for seizure detection in zebrafish models of epilepsy.

Journal: Journal of neuroscience methods
PMID: 28577986

Abstract

BACKGROUND: Epilepsy is a chronic neurological condition, with over 30% of cases unresponsive to treatment. Zebrafish larvae show great potential to serve as an animal model of epilepsy in drug discovery. Thanks to their high fecundity and relatively low cost, they are amenable to high-throughput screening. However, the assessment of seizure occurrences in zebrafish larvae remains a bottleneck, as visual analysis is subjective and time-consuming.

Authors

  • Borbála Hunyadi
    STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering (ESAT), KU Leuven, Kasteelpark Arenberg 10, 3001 Leuven, Belgium; imec, Leuven, Belgium. Electronic address: borbala.hunyadi@esat.kuleuven.be.
  • Aleksandra Siekierska
    Laboratory for Molecular Biodiscovery, KU Leuven, Campus Gasthuisberg, Herestraat 49, O&N II, 3000 Leuven, Belgium.
  • Jo Sourbron
    Laboratory for Molecular Biodiscovery, KU Leuven, Campus Gasthuisberg, Herestraat 49, O&N II, 3000 Leuven, Belgium.
  • Daniëlle Copmans
    Laboratory for Molecular Biodiscovery, KU Leuven, Campus Gasthuisberg, Herestraat 49, O&N II, 3000 Leuven, Belgium.
  • Peter A M de Witte
    Laboratory for Molecular Biodiscovery, KU Leuven, Campus Gasthuisberg, Herestraat 49, O&N II, 3000 Leuven, Belgium.

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