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Three-dimensional neurophenotyping of adult zebrafish behavior: updates, achievements and future directions

Jonathan Cachat, Chris Collins, Evan J. Kyzar, Siddarth Gaikwad, Jeremy Green, Adam Stewart, Andrew Roth, Samuel Landsman, Fabrizio Grieco, Ruud A.j. Tegelenbosch, L.p.j.j. Noldus

Open MIND January 1, 2015 DOI: 10.6084/m9.figshare.1404184.v1 via OpenAlex

Summary

AI-generated from the abstract

Three-dimensional reconstructions of zebrafish swimming paths enable both macro- and micro-level analysis of behavior, offering a more complete picture than traditional 2D traces. Temporal 3D reconstructions plot spatial data across time to reflect activity over testing, while spatial 3D reconstructions use two cameras to depict activity within the actual arena. These reconstructions are highly sensitive to anxiolytic, anxiogenic, and hallucinogenic effects in adult zebrafish. For example, ibogaine reversed natural behaviors, a characterization impossible without 3D reconstructions. Track3D, applied for the first time in adult zebrafish, showed strong significant correlation (R>0.07) of automated endpoints with manual data, providing precise calculation of movement parameters and accurate spatiotemporal integration. These approaches permit advanced movement pattern analysis for screening psychoactive compounds.

Study at a glance

Characteristics Methodological development and validation Qualitative Peer reviewed
Population Adult zebrafish
Keywords Zebrafish Computer science Biology
Key finding Three-dimensional reconstructions of zebrafish swimming paths, including the first successful application of Track3D in adult zebrafish, provide a sensitive and comprehensive method for characterizing behavioral profiles of psychotropic drugs.

Abstract

Three-dimensional reconstructions of zebrafish swimming paths (Cachat et al. 2011) are a new technique to discover novel, meaningful behavioral patterns evoked by different experimental manipulations. Compared to traditional 2D traces, 3D swim path reconstructions enable both macro-level (general) and micro-level (specific/repeated) analyses of potentially meaningful behavioral patterns, offering a complete picture of fish behavior that can be easily combined or re-analyzed. ‘Temporal’ 3D reconstructions, which plot horizontal (x) and vertical (y) spatial data across time (t), reflect zebrafish activity over testing time. ‘Spatial’ 3D reconstructions require two cameras to plot horizontal (x, front view), vertical (y, front view) and side-side (x or y, top view) data, depicting zebrafish 3D activity within the actual testing arena. These reconstructions are highly sensitive to anxiolytic, anxiogenic and hallucinogenic effects in adult zebrafish. For example, we have recently characterized unique movement profiles of ibogaine (a hallucinogen with psychedelic/dissociative properties) which reversed natural zebrafish behaviors, and whose comprehensive characterization would not have been possible without using 3D reconstructions (Cachat et al., 2012). We also applied Track3D, a supplement for EthoVision XT (Noldus IT, Netherlands) developed originally for insects, to adult zebrafish neurophenotyping. Our data represents the first successful application of Track3D in adult zebrafish, showing strong (R>0.07) significant correlation of automated behavioral endpoints with manual data. Track3D provided a precise calculation of movement parameters (i.e., distance traveled, velocity, angular velocity, path tortuosity) within 3D space, also offering accurate spatiotemporal integration of two-camera recordings. We are actively using the 3D-based reconstructions as a window into qualitative and quantitative descriptions of behavioral profiles of various psychotropic drugs. The spatiotemporal data generated from 3D approaches also permits the application of advanced moving object statistical techniques (e.g., movement pattern analysis) to identify and compare movement profiles of zebrafish under different experimental conditions, including testing anxiogenic/anxiolytic and hallucinogenic drugs, as well as identifying unique movement profiles for screening novel psychoactive compounds.

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