Video-Aided Analysis of Zebrafish Locomotion and Anxiety-Related Behavioral Responses

Cachat, Jonathan; Canavello, Peter R.; Elkhayat, Salem; Bartels, Brett; Hart, Peter C.; Elegante, Marco; Beeson, Esther; Laffoon, Autumn L.; Haymore, Whitlee A.M.; Tien, David; Tien, Anna K.; Mohnot, Sopan; Kalueff, Allan V.

doi:10.1007/978-1-60761-953-6_1

Cited by 54 publications

(55 citation statements)

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“…27,31,[50][51][52][53][54][55][56][57][58] For example, zebrafish swimming can be quantified using video-tracking software assessing velocity, distance traveled, and time spent moving during the trial. 11,29,36,[59][60][61][62][63][64][65] Recently developed software tools enable automated quantification of complex zebrafish group behavior, such as shoaling. 11 Mounting evidence also supports the value of three-dimensional (3D) analysis of zebrafish behavior, demonstrating its high sensitivity to various experimental manipulations.…”

Section: Glossarymentioning

confidence: 99%

“…Includes reduced exploration, and typically manifests in geotaxis (diving), thigmotaxis, scototaxis, freezing, opercular movements, body color change, and erratic movement (zig-zagging). 31,51,60,61,70,71 Anxiolytic drugs generally reduce anxiety-like behaviors, while anxiogenic agents potentiate these responses. Zebrafish anxiety-like behavior frequently overlaps with fear-related behavior, 33,51,72 and future studies are needed to better characterize these two domains.…”

Section: Aggregation Behaviormentioning

confidence: 99%

“…Freeze (freezing): A complete cessation of movement (except for gills and eyes) by the fish while at the bottom of the tank. [29][30][31]61,70 Generally, a result of high stress/anxiety or part of the submissive behavior (e.g., submissive immobile postures 67 ); can be quantified by assessing the latency, frequency, duration and location of freezing. Opercular movements (respiration/gill movements) are usually very frequent during stress-induced freezing.…”

Section: Fight (Fighting)mentioning

confidence: 99%

“…Dive (diving, geotaxis): Movement to/preference towards the bottom of the tank, often in response to threat. 4,52,59,61 Generally, a very sensitive measure of anxiety/ avoidance behavior; can be quantified by latency to bottom, time in bottom, frequency of visits to the bottom, distance traveled in bottom, and also expressed as respective top:bottom ratios. Is commonly reduced during habituation or anxiolytic treatments, increased by sedative/anxiogenic drugs, and can be atypically reversed by some hallucinogenic drugs (e.g., ibogaine 87 ).…”

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confidence: 99%

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Towards a Comprehensive Catalog of Zebrafish Behavior 1.0 and Beyond

et al. 2013

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Zebrafish (Danio rerio) are rapidly gaining popularity in translational neuroscience and behavioral research. Physiological similarity to mammals, ease of genetic manipulations, sensitivity to pharmacological and genetic factors, robust behavior, low cost, and potential for high-throughput screening contribute to the growing utility of zebrafish models in this field. Understanding zebrafish behavioral phenotypes provides important insights into neural pathways, physiological biomarkers, and genetic underpinnings of normal and pathological brain function. Novel zebrafish paradigms continue to appear with an encouraging pace, thus necessitating a consistent terminology and improved understanding of the behavioral repertoire. What can zebrafish 'do', and how does their altered brain function translate into behavioral actions? To help address these questions, we have developed a detailed catalog of zebrafish behaviors (Zebrafish Behavior Catalog, ZBC) that covers both larval and adult models. Representing a beginning of creating a more comprehensive ethogram of zebrafish behavior, this effort will improve interpretation of published findings, foster cross-species behavioral modeling, and encourage new groups to apply zebrafish neurobehavioral paradigms in their research. In addition, this glossary creates a framework for developing a zebrafish neurobehavioral ontology, ultimately to become part of a unified animal neurobehavioral ontology, which collectively will contribute to better integration of biological data within and across species.

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Section: Glossarymentioning

confidence: 99%

Section: Aggregation Behaviormentioning

confidence: 99%

Section: Fight (Fighting)mentioning

confidence: 99%

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Towards a Comprehensive Catalog of Zebrafish Behavior 1.0 and Beyond

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“…The Y axis dimension from these two datasets must be compared and aligned before being combined ( Figure 1E). After X, Y, and Z axis data are collected, behavioral endpoints are measured according to previous criteria [44][45][46][47][48]; calculation formulation and data significances are listed in Table S1. For converting pixel dimension into the standardized length dimension, image processing programs are required.…”

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confidence: 99%

A Simple Setup to Perform 3D Locomotion Tracking in Zebrafish by Using a Single Camera

et al. 2018

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Generally, the measurement of three-dimensional (3D) swimming behavior in zebrafish relies on commercial software or requires sophisticated scripts, and depends on more than two cameras to capture the video. Here, we establish a simple and economic apparatus to detect 3D locomotion in zebrafish, which involves a single camera capture system that records zebrafish movement in a specially designed water tank with a mirror tilted at 45 degrees. The recorded videos are analyzed using idTracker, while spatial positions are calibrated by ImageJ software and 3D trajectories are plotted by Origin 9.1 software. This easy setting allowed scientists to track 3D swimming behavior of multiple zebrafish with low cost and precise spatial position, showing great potential for fish behavioral research in the future.Keywords: 3D locomotion; behavior; zebrafish; idTracker; ImageJ Zebrafish is well-known as an ideal experimental animal model in biomedical research, especially in the fields of developmental and genetic studies and drug discovery approaches [1][2][3][4]. It has become widely used within the field of pharmaceutical research and toxicology, in which ideally thousands of chemicals can be screened rapidly in vivo for therapeutic and toxic potential that are related to human disease susceptibility and risk [5]. In addition, zebrafish is also an excellent model for behavioral research because of their consistency and the rational refection of their mental and physical changes to new environments, and a comparable neural circuit system with high vertebrate counterparts [6][7][8]. Therefore, zebrafish has emerged as a promising new organism for research on anxiety due to their robust cortisol stress response, behavioral strain differences, and sensitivity to drug treatments or predators as well as their change in alarm pheromones [9][10][11][12]. There are various models commonly used to assess zebrafish behavior, include shoaling test [13][14][15], social preference [16,17], light-dark box [18][19][20], open-field [21][22][23], and novel tank [24,25] models. Among these models, they required accurate, reliable, and reproducible detection of the subject's spatiotemporal location. Previously, the manual quantification of animal behavior may have suffered systematic errors, leading to data misinterpretation [26]. In contrast, computational video-tracking technologies can record and analyze movements and optimize observation on multiple behavioral endpoints to reduce internal influence [27]. Moreover, another advantage of using the video-tracking approach is its ability to repetitively store, replay, and analyze recorded videos, instead of observing every behavioral endpoint with only human eyes [28,29].Based on the position of fish, computer-vision tracking can be classified into two-dimensional (2D) and three-dimensional (3D). Even though 2D tracking was feasible to analyze fish behavior,

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