Computational characterization of behavioral response of medaka ( Oryzias latipes) treated with diazinon

The behavior of indicator specimens in response to sub-lethal doses of toxic substances has been used to detect contamination in aquatic ecosystems. Changes in the movement behaviors of medaka ( Oryzias latipes) were analyzed after being treated with diazinon at a concentration of 0.1 mg/l. The move...

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Bibliographic Details
Published in:Aquatic toxicology 2005-02, Vol.71 (3), p.215-228
Main Authors: Park, Young-Seuk, Chung, Nam-Il, Choi, Kyung-Hee, Cha, Eui Young, Lee, Seung-Kyu, Chon, Tae-Soo
Format: Article
Language:English
Subjects:
analytical methods
animal behavior
Animal, plant and microbial ecology
Animals
Applied ecology
Automated aquatic ecosystem monitoring
Biological and medical sciences
Cluster Analysis
Computational behavior
computer analysis
diazinon
Diazinon - toxicity
Ecotoxicology, biological effects of pollution
Environmental Monitoring - methods
equations
Fast Fourier transform
Fast Fourier transforms
Fourier Analysis
Freshwater
freshwater fish
Fundamental and applied biological sciences. Psychology
General aspects
indicator species
locomotion
Medaka
Motor Activity - drug effects
Oryzias - physiology
Oryzias latipes
Self-organizing map
toxic substances
Water Pollutants, Chemical - toxicity
water pollution
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Summary:The behavior of indicator specimens in response to sub-lethal doses of toxic substances has been used to detect contamination in aquatic ecosystems. Changes in the movement behaviors of medaka ( Oryzias latipes) were analyzed after being treated with diazinon at a concentration of 0.1 mg/l. The movement tracks of medaka were continuously recorded in two-dimension by a digital image processing system both before and after the treatments. Subsequently, two computational methods—two-dimensional fast Fourier transform (2D FFT) and self-organizing map (SOM), were implemented to extract information from the movement data. The differences in the shapes of the movement tracks before and after the treatments were clearly manifested through 2D FFT. The short-distance, irregular turnings in the movement tracks observed after the treatments in the time domain were characteristically transformed to circular or ellipsoidal patterns in the frequency domain. The amplitudes of 2D FFT were efficiently classified by SOM, demonstrating the effects of the different treatments. To evaluate the feasibility of information extraction by 2D FFT, SOM was similarly carried out on the parameters (speed, meander, stop duration, etc.) conventionally used for characterizing the movement tracks. 2D FFT was more efficient in information extraction from the movement data than the parameters. The 2D FFT and SOM were useful as computational methods for automatically detecting response behaviors of indicator specimens exposed to toxic chemicals in aquatic ecosystems.
ISSN:0166-445X
1879-1514
DOI:10.1016/j.aquatox.2004.11.002