Literature DB >> 15317841

Quantitative characterization and classification of leech behavior.

Alberto Mazzoni1, Elizabeth Garcia-Perez, Davide Zoccolan, Sergio Graziosi, Vincent Torre.   

Abstract

This paper describes an automatic system for the analysis and classification of leech behavior. Three colored beads were attached to the dorsal side of a free moving or pinned leech, and color CCD camera images were taken of the animal. The leech was restrained to moving in a small tank or petri dish, where the water level can be varied. An automatic system based on color processing tracked the colored beads over time, allowing real-time monitoring of the leech motion for several hours. At the end of each experimental session, six time series (2 for each bead) describing the leech body motion were obtained. A statistical analysis based on the speed and frequency content of bead motion indicated the existence of several stereotypical patterns of motion, corresponding to different leech behaviors. The identified patterns corresponded to swimming, pseudo-swimming, crawling, exploratory behavior, stationary states, abrupt movements, and combinations of these behaviors. The automatic characterization of leech behavior demonstrated here represents an important step toward understanding leech behavior and its properties. This method can be used to characterize the behavior of other invertebrates and also for some small vertebrates.

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Year:  2004        PMID: 15317841     DOI: 10.1152/jn.00608.2004

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  10 in total

1.  Statistics of decision making in the leech.

Authors:  Elizabeth Garcia-Perez; Alberto Mazzoni; Davide Zoccolan; Hugh P C Robinson; Vincent Torre
Journal:  J Neurosci       Date:  2005-03-09       Impact factor: 6.167

Review 2.  Leech locomotion: swimming, crawling, and decisions.

Authors:  W Otto Friesen; William B Kristan
Journal:  Curr Opin Neurobiol       Date:  2008-03-12       Impact factor: 6.627

3.  A passive, camera-based head-tracking system for real-time, three-dimensional estimation of head position and orientation in rodents.

Authors:  Walter Vanzella; Natalia Grion; Daniele Bertolini; Andrea Perissinotto; Marco Gigante; Davide Zoccolan
Journal:  J Neurophysiol       Date:  2019-09-25       Impact factor: 2.714

4.  Automated video analysis of animal movements using Gabor orientation filters.

Authors:  Daniel A Wagenaar; Wiliam B Kristan
Journal:  Neuroinformatics       Date:  2010-03

5.  Ultrasound Stimulations Induce Prolonged Depolarization and Fast Action Potentials in Leech Neurons.

Authors:  Francesca Dedola; Francesco Paolo Ulloa Severino; Nicolo Meneghetti; Theo Lemaire; Andrea Cafarelli; Leonardo Ricotti; Arianna Menciassi; Annarita Cutrone; Alberto Mazzoni; Silvestro Micera
Journal:  IEEE Open J Eng Med Biol       Date:  2020-02-14

6.  The dynamics of group formation among leeches.

Authors:  Giacomo Bisson; Ginestra Bianconi; Vincent Torre
Journal:  Front Physiol       Date:  2012-05-17       Impact factor: 4.566

7.  Calcineurin and protein kinase G regulate C. elegans behavioral quiescence during locomotion in liquid.

Authors:  Rajarshi Ghosh; Scott W Emmons
Journal:  BMC Genet       Date:  2010-01-27       Impact factor: 2.797

8.  Spontaneous electrical activity and behavior in the leech hirudo medicinalis.

Authors:  Elizabeth Garcia-Perez; Alberto Mazzoni; Vincent Torre
Journal:  Front Integr Neurosci       Date:  2007-11-30

9.  The use of dendrograms to describe the electrical activity of motoneurons underlying behaviors in leeches.

Authors:  León J Juárez-Hernández; Giacomo Bisson; Vincent Torre
Journal:  Front Integr Neurosci       Date:  2013-09-27

10.  Scanning behavior in the medicinal leech Hirudo verbana.

Authors:  Cynthia M Harley; Daniel A Wagenaar
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

  10 in total

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