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研究生: 蘇仁酷
Satishkumar Subendran
論文名稱: 用於斑馬魚行為和認知研究的聲學微流體
Acoustic Microfluidics for Behavioral and Cognitive Investigation in Zebrafish
指導教授: 陳嘉元
Chen, Chia-Yuan
學位類別: 碩士
Master
系所名稱: 工學院 - 機械工程學系
Department of Mechanical Engineering
論文出版年: 2021
畢業學年度: 109
語文別: 英文
論文頁數: 65
中文關鍵詞: 微流体装置声学操纵斑马鱼行为反应認知能力
外文關鍵詞: microfluidic device, acoustic manipulation, zebrafish, behavioral response, cognitive ability
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  • The tropical teleost zebrafish (Danio rerio) is an excellent vertebrate model organism for studying behavioral responses and cognitive functions. Therefore, operations such as precise manipulation of zebrafish, controlled drug exposure, and behavioral monitoring are essential in various biomedical studies. Microfluidics has recently emerged as a potential tool for manipulating zebrafish for various behavioral and neurobiological related studies. In addition, it has been recognized as an alternative technology for overcoming the problems associated with traditional approaches. In this aspect, the current research highlighted the design and development of a novel microfluidic manipulation platform by incorporating an ultrasound transducer which was efficiently used to manipulate zebrafish larvae using the generated acoustics. The developed acoustic microfluidic manipulation platform is purely non-invasive and was operated under various frequencies (200, 600, and 1200 Hz) and signals (sawtooth, square, and triangle) to assess its effects on zebrafish. It was observed that the frequency of sound waves triggered the zebrafish to change the moving path with a characteristic “C-start escape” from the source of the sound. The responses of zebrafish were evaluated by quantifying various motion characteristics such as curvilinear velocity (VCL, mm/s), straight-line velocity (VSL, mm/s), and linearity of forwarding progression (LIN = VSL/VCL, dimensionless). It was observed that VSL was significant (*p < 0.05) in zebrafish (4, 5, and 6 d.p.f.) under sawtooth signal at a frequency of 1200 Hz compared to 200 and 600 Hz. In addition, VCL findings observed in zebrafish (4 and 5 d.p.f.) were 105.19 % and 89.96 % higher than zebrafish (6 d.p.f.). Further, zebrafish larvae were trained according to the simple non-associative learning (stimulus learning) task to test the cognitive performances by significantly manipulating them within the platform’s designated path. In conclusion, the presented work can be extended to manipulate zebrafish into various screening sections (to view dorsal or lateral sections) for employing drug treatment by reducing the time duration significantly in a non-invasive manner. Furthermore, it can serve as a helpful reference framework for future research.

    Keywords – microfluidic device, acoustic manipulation, zebrafish, behavioral response, cognitive ability.

    Abstract I Acknowledgement III Table of Contents IV List of Tables VI List of Figures VII 1. Research Background & Critical Literature Review 1 1.1 Zebrafish (D. rerio) an invaluable model organism 1 1.1.1 Zebrafish in Behavioral Studies 3 1.1.1.1 Thigmotaxis 4 1.1.1.2 Optomotor Responses 4 1.1.1.3 Optokinetic Responses 5 1.1.1.4 Escape and Startle Responses 5 1.1.1.5 Locomotor Behavior 6 1.1.2 Zebrafish Brain and Behavior Connection 7 1.1.2.1 Conventional Methods used in Zebrafish Behavioral & Cognitive Studies 11 1.1.3 Zebrafish Auditory System and Hearing Mechanism 13 1.1.4 Traditional orientation control in zebrafish 16 1.2 Microfluidics 17 1.2.1 Microfluidics in Zebrafish research 18 1.2.1.1 Immobilized Zebrafish assay on chip 19 1.2.1.2 Partially Immobilized Zebrafish assay on chip 24 1.2.2 Acoustic Microfluidics in Zebrafish research 29 1.3 Research Problems, Objectives and Thesis organization 33 2. Research Tools & Methodology 36 2.1 Fabrication of Acoustic microfluidic manipulation platform 36 2.2 Zebrafish preparation and care 38 2.3 Experimental setup and procedures 38 2.4 Acoustic Stimuli Treatment 39 2.5 Cognitive Ability Evaluation 40 2.6 Statistical Analysis 40 3. Results and Discussion 41 3.1 Experimental Results 41 3.2 Comprehensive Discussion 48 4. Concluding Remarks and Future Perspective 51 References 53

    [1] P. Bansal, A. Abraham, J. Garg, and E. E. Jung, “Neuroscience Research using Small Animals on a Chip: From Nematodes to Zebrafish Larvae,” BioChip Journal, pp. 1-10, 2021.
    [2] C. J. Rödel and S. Abdelilah-Seyfried, “A zebrafish toolbox for biomechanical signaling in cardiovascular development and disease,” Current Opinion in Hematology, vol. 28, no. 3, pp. 198-207, 2021.
    [3] R. L. Bailone et al., “Zebrafish as an alternative animal model in human and animal vaccination research,” Laboratory animal research, vol. 36, pp. 1-10, 2020.
    [4] G. W. Miller, V. Chandrasekaran, B. Yaghoobi, and P. J. Lein, “Opportunities and challenges for using the zebrafish to study neuronal connectivity as an endpoint of developmental neurotoxicity,” Neurotoxicology, vol. 67, pp. 102-111, 2018.
    [5] R. Willemsen, S. van’t Padje, J. C. van Swieten, and B. A. Oostra, "Zebrafish (Danio rerio) as a model organism for dementia," in Animal Models of Dementia: Springer, 2011, pp. 255-269.
    [6] C. Sakai, S. Ijaz, and E. J. Hoffman, “Zebrafish models of neurodevelopmental disorders: past, present, and future,” Frontiers in molecular neuroscience, vol. 11, p. 294, 2018.
    [7] R. Vaz, W. Hofmeister, and A. Lindstrand, “Zebrafish models of neurodevelopmental disorders: limitations and benefits of current tools and techniques,” International journal of molecular sciences, vol. 20, no. 6, p. 1296, 2019.
    [8] S. Sarasamma, M. M. Varikkodan, S.-T. Liang, Y.-C. Lin, W.-P. Wang, and C.-D. Hsiao, “Zebrafish: A premier vertebrate model for biomedical research in indian scenario,” Zebrafish, vol. 14, no. 6, pp. 589-605, 2017.
    [9] C. Maximino et al., “Extending the analysis of zebrafish behavioral endophenotypes for modeling psychiatric disorders: Fear conditioning to conspecific alarm response,” Behavioural processes, vol. 149, pp. 35-42, 2018.
    [10] F. Li et al., “Characterization of the locomotor activities of zebrafish larvae under the influence of various neuroactive drugs,” Annals of translational medicine, vol. 6, no. 10, 2018.
    [11] D. D. Nabinger, S. Altenhofen, and C. D. Bonan, “Zebrafish models: gaining insight into purinergic signaling and neurological disorders,” Progress in Neuro-Psychopharmacology and Biological Psychiatry, vol. 98, p. 109770, 2020.
    [12] F. Ahmad and M. K. Richardson, “Exploratory behaviour in the open field test adapted for larval zebrafish: impact of environmental complexity,” Behavioural processes, vol. 92, pp. 88-98, 2013.
    [13] E. Angiulli et al., “Increase in environmental temperature affects exploratory behaviour, anxiety and social preference in Danio rerio,” Scientific reports, vol. 10, no. 1, pp. 1-12, 2020.
    [14] R. T. Gerlai, Behavioral and Neural Genetics of Zebrafish. Academic Press, 2020.
    [15] L. Li, “Sensory integration: cross-modal communication between the olfactory and visual systems in zebrafish,” Chemical senses, vol. 44, no. 6, pp. 351-356, 2019.
    [16] M. Takahashi, M. Inoue, M. Tanimoto, T. Kohashi, and Y. Oda, “Short-term desensitization of fast escape behavior associated with suppression of Mauthner cell activity in larval zebrafish,” Neuroscience research, vol. 121, pp. 29-36, 2017.
    [17] L. Saint‐Amant and P. Drapeau, “Time course of the development of motor behaviors in the zebrafish embryo,” Journal of neurobiology, vol. 37, no. 4, pp. 622-632, 1998.
    [18] E. Brustein, L. Saint-Amant, R. R. Buss, M. Chong, J. R. McDearmid, and P. Drapeau, “Steps during the development of the zebrafish locomotor network,” Journal of Physiology-Paris, vol. 97, no. 1, pp. 77-86, 2003.
    [19] K. Fero, T. Yokogawa, and H. A. Burgess, “The behavioral repertoire of larval zebrafish,” in Zebrafish models in neurobehavioral research: Springer, 2011, pp. 249-291.
    [20] M. Lamprea, F. Cardenas, J. Setem, and S. Morato, “Thigmotactic responses in an open-field,” Brazilian Journal of Medical and Biological Research, vol. 41, no. 2, pp. 135-140, 2008.
    [21] N. Walz, A. Mühlberger, and P. Pauli, “A human open field test reveals thigmotaxis related to agoraphobic fear,” Biological psychiatry, vol. 80, no. 5, pp. 390-397, 2016.
    [22] B. Panigrahi and C.-Y. Chen, “Microfluidic transportation control of larval zebrafish through optomotor regulations under a pressure-driven flow,” Micromachines, vol. 10, no. 12, p. 880, 2019.
    [23] L. Ganzen, P. Venkatraman, C. P. Pang, Y. F. Leung, and M. Zhang, “Utilizing zebrafish visual behaviors in drug screening for retinal degeneration,” International journal of molecular sciences, vol. 18, no. 6, p. 1185, 2017.
    [24] K. Mani, Y.-C. Hsieh, B. Panigrahi, and C.-Y. Chen, “A noninvasive light driven technique integrated microfluidics for zebrafish larvae transportation,” Biomicrofluidics, vol. 12, no. 2, p. 021101, 2018.
    [25] V. C. Fleisch and S. C. Neuhauss, "Visual behavior in zebrafish," Zebrafish, vol. 3, no. 2, pp. 191-201, 2006.
    [26] T. Kohashi, N. Nakata, and Y. Oda, “Effective sensory modality activating an escape triggering neuron switches during early development in zebrafish,” Journal of Neuroscience, vol. 32, no. 17, pp. 5810-5820, 2012.
    [27] Y.-C. Liu, I. Bailey, and M. E. Hale, “Alternative startle motor patterns and behaviors in the larval zebrafish (Danio rerio),” Journal of Comparative Physiology A, vol. 198, no. 1, pp. 11-24, 2012.
    [28] S. M. El Houdigui et al., “A systems biology approach reveals neuronal and muscle developmental defects after chronic exposure to ionising radiation in zebrafish,” Scientific reports, vol. 9, no. 1, pp. 1-15, 2019.
    [29] M. Granato et al., “Genes controlling and mediating locomotion behavior of the zebrafish embryo and larva,” Development, vol. 123, no. 1, pp. 399-413, 1996.
    [30] M. B. Orger, “The cellular organization of zebrafish visuomotor circuits,” Current Biology, vol. 26, no. 9, pp. R377-R385, 2016.
    [31] A. Biewener and T. Daniel, “A moving topic: control and dynamics of animal locomotion,” ed: The Royal Society, 2010.
    [32] O. Kiehn and K. Dougherty, “Locomotion: circuits and physiology,” Neuroscience in the 21st century (Pfaff DW, ed), pp. 1209-1236, 2013.
    [33] S. Grillner, H. Markram, E. De Schutter, G. Silberberg, and F. E. LeBeau, “Microcircuits in action–from CPGs to neocortex,” Trends in neurosciences, vol. 28, no. 10, pp. 525-533, 2005.
    [34] S. Kishore and D. L. McLean, “Neuromodulation: letting sources of spinal dopamine speak for themselves,” Current Biology, vol. 25, no. 4, pp. R146-R148, 2015.
    [35] S. Tufi, P. Leonards, M. Lamoree, J. de Boer, J. Legler, and J. Legradi, “Changes in neurotransmitter profiles during early zebrafish (Danio rerio) development and after pesticide exposure,” Environmental science & technology, vol. 50, no. 6, pp. 3222-3230, 2016.
    [36] P. Panula et al., “Modulatory neurotransmitter systems and behavior: towards zebrafish models of neurodegenerative diseases,” Zebrafish, vol. 3, no. 2, pp. 235-247, 2006.
    [37] T. Irons, R. MacPhail, D. Hunter, and S. Padilla, “Acute neuroactive drug exposures alter locomotor activity in larval zebrafish,” Neurotoxicology and teratology, vol. 32, no. 1, pp. 84-90, 2010.
    [38] M. N. McCarroll et al., “Zebrafish behavioural profiling identifies GABA and serotonin receptor ligands related to sedation and paradoxical excitation,” Nature communications, vol. 10, no. 1, pp. 1-14, 2019.
    [39] R. Richardson, D. Tracey-White, A. Webster, and M. Moosajee, “The zebrafish eye—a paradigm for investigating human ocular genetics,” Eye, vol. 31, no. 1, pp. 68-86, 2017.
    [40] E. Calvo-Ochoa and C. A. Byrd-Jacobs, “The olfactory system of zebrafish as a model for the study of neurotoxicity and injury: implications for neuroplasticity and disease,” International journal of molecular sciences, vol. 20, no. 7, p. 1639, 2019.
    [41] L. D. Knogler, A. M. Kist, and R. Portugues, “Motor context dominates output from purkinje cell functional regions during reflexive visuomotor behaviours,” Elife, vol. 8, p. e42138, 2019.
    [42] S. Ghosh and S. P. Hui, “Axonal regeneration in zebrafish spinal cord,” Regeneration, vol. 5, no. 1, pp. 43-60, 2018.
    [43] O. Wasel and J. L. Freeman, “Chemical and genetic zebrafish models to define mechanisms of and treatments for dopaminergic neurodegeneration,” International Journal of Molecular Sciences, vol. 21, no. 17, p. 5981, 2020.
    [44] C. B. Kimmel, W. W. Ballard, S. R. Kimmel, B. Ullmann, and T. F. Schilling, “Stages of embryonic development of the zebrafish,” Developmental dynamics, vol. 203, no. 3, pp. 253-310, 1995.
    [45] M. Lovett-Barron et al., “Multiple convergent hypothalamus–brainstem circuits drive defensive behavior,” Nature neuroscience, pp. 1-9, 2020.
    [46] Y. Kimura et al., “Hindbrain V2a neurons in the excitation of spinal locomotor circuits during zebrafish swimming,” Current Biology, vol. 23, no. 10, pp. 843-849, 2013.
    [47] L. Cong et al., “Rapid whole brain imaging of neural activity in freely behaving larval zebrafish (Danio rerio),” Elife, vol. 6, p. e28158, 2017.
    [48] R. W. Friedrich, G. A. Jacobson, and P. Zhu, “Circuit neuroscience in zebrafish,” Current Biology, vol. 20, no. 8, pp. R371-R381, 2010.
    [49] A. M. Lacoste et al., “A convergent and essential interneuron pathway for Mauthner-cell-mediated escapes,” Current Biology, vol. 25, no. 11, pp. 1526-1534, 2015.
    [50] A. A. de Oliveira, T. A. Brigante, and D. P. Oliveira, “Tail Coiling Assay in Zebrafish (Danio rerio) Embryos: Stage of Development, Promising Positive Control Candidates, and Selection of an Appropriate Organic Solvent for Screening of Developmental Neurotoxicity (DNT),” Water, vol. 13, no. 2, p. 119, 2021.
    [51] J. A. Fitzgerald, K. T. Kirla, C. P. Zinner, and C. M. Vom Berg, “Emergence of consistent intra-individual locomotor patterns during zebrafish development,” Scientific reports, vol. 9, no. 1, pp. 1-14, 2019.
    [52] A. B. Ribera and C. Nüsslein-Volhard, “Zebrafish touch-insensitive mutants reveal an essential role for the developmental regulation of sodium current,” Journal of Neuroscience, vol. 18, no. 22, pp. 9181-9191, 1998.
    [53] A. Sagasti, M. R. Guido, D. W. Raible, and A. F. Schier, “Repulsive interactions shape the morphologies and functional arrangement of zebrafish peripheral sensory arbors,” Current biology, vol. 15, no. 9, pp. 804-814, 2005.
    [54] M. Lovett-Barron et al., “Ancestral circuits for the coordinated modulation of brain state,” Cell, vol. 171, no. 6, pp. 1411-1423. e17, 2017.
    [55] Y.-H. Kim, K. S. Lee, A. R. Park, and T. J. Min, “Adding preferred color to a conventional reward method improves the memory of zebrafish in the T-maze behavior model,” Animal Cells and Systems, vol. 21, no. 6, pp. 374-381, 2017.
    [56] Z. K. Varga et al., “The swimming plus-maze test: a novel high-throughput model for assessment of anxiety-related behaviour in larval and juvenile zebrafish (Danio rerio),” Scientific reports, vol. 8, no. 1, pp. 1-11, 2018.
    [57] S. C. Neuhauss, “Behavioral genetic approaches to visual system development and function in zebrafish,” Journal of neurobiology, vol. 54, no. 1, pp. 148-160, 2003.
    [58] K. Yashina, Á. Tejero-Cantero, A. Herz, and H. Baier, “Zebrafish exploit visual cues and geometric relationships to form a spatial memory,” Iscience, vol. 19, pp. 119-134, 2019.
    [59] J. S. Stevens et al., “Zebrafish locomotor responses reveal irritant effects of fine particulate matter extracts and a role for TRPA1,” Toxicological Sciences, vol. 161, no. 2, pp. 290-299, 2018.
    [60] C. Haddon and J. Lewis, “Early ear development in the embryo of the zebrafish, Danio rerio,” Journal of Comparative Neurology, vol. 365, no. 1, pp. 113-128, 1996.
    [61] T. Nicolson, “The genetics of hearing and balance in zebrafish,” Annu. Rev. Genet., vol. 39, pp. 9-22, 2005.
    [62] Z. Lu and A. A. DeSmidt, “Early development of hearing in zebrafish,” Journal of the Association for Research in Otolaryngology, vol. 14, no. 4, pp. 509-521, 2013.
    [63] M. W. Bagnall and D. Schoppik, “Development of vestibular behaviors in zebrafish,” Current opinion in neurobiology, vol. 53, pp. 83-89, 2018.
    [64] A. A. Bhandiwad, D. G. Zeddies, D. W. Raible, E. W. Rubel, and J. A. Sisneros, “Auditory sensitivity of larval zebrafish (Danio rerio) measured using a behavioral prepulse inhibition assay,” Journal of Experimental Biology, vol. 216, no. 18, pp. 3504-3513, 2013.
    [65] K. S. Kindt and L. Sheets, “Transmission disrupted: modeling auditory synaptopathy in zebrafish,” Frontiers in cell and developmental biology, vol. 6, p. 114, 2018.
    [66] O. Fajardo, P. Zhu, and R. W. Friedrich, “Control of a specific motor program by a small brain area in zebrafish,” Frontiers in neural circuits, vol. 7, p. 67, 2013.
    [67] H. Lopez-Schier, F. Pinto-Teixeira, M. Muzzopappa, J. Swoger, A. Mineo, and J. Sharpe, “Intravital imaging of hair-cell development and regeneration in the zebrafish,” Frontiers in neuroanatomy, vol. 7, p. 33, 2013.
    [68] S. Subendran, C.-W. Kang, and C.-Y. Chen, “Comprehensive Hydrodynamic Investigation of Zebrafish Tail Beats in a Microfluidic Device with a Shape Memory Alloy,” Micromachines, vol. 12, no. 1, p. 68, 2021.
    [69] Y. Liu and X. Jiang, “Why microfluidics? Merits and trends in chemical synthesis,” Lab on a Chip, vol. 17, no. 23, pp. 3960-3978, 2017.
    [70] M. Leester-Schädel, T. Lorenz, F. Jürgens, and C. Richter, "Fabrication of microfluidic devices," in Microsystems for Pharmatechnology: Springer, 2016, pp. 23-57.
    [71] V. Faustino, S. O. Catarino, R. Lima, and G. Minas, “Biomedical microfluidic devices by using low-cost fabrication techniques: A review,” Journal of biomechanics, vol. 49, no. 11, pp. 2280-2292, 2016.
    [72] A. Reece, B. Xia, Z. Jiang, B. Noren, R. McBride, and J. Oakey, “Microfluidic techniques for high throughput single cell analysis,” Current opinion in biotechnology, vol. 40, pp. 90-96, 2016.
    [73] T. Konry et al., “Particles and microfluidics merged: perspectives of highly sensitive diagnostic detection,” Microchimica Acta, vol. 176, no. 3-4, pp. 251-269, 2012.
    [74] M. Cornaglia, T. Lehnert, and M. A. Gijs, “Microfluidic systems for high-throughput and high-content screening using the nematode Caenorhabditis elegans,” Lab on a Chip, vol. 17, no. 22, pp. 3736-3759, 2017.
    [75] A. Ramachandran et al., “Electric field-driven microfluidics for rapid CRISPR-based diagnostics and its application to detection of SARS-CoV-2,” Proceedings of the National Academy of Sciences, vol. 117, no. 47, pp. 29518-29525, 2020.
    [76] L. Huang, P. Zhao, J. Wu, H.-S. Chuang, and W. Wang, “On-demand dielectrophoretic immobilization and high-resolution imaging of C. elegans in microfluids,” Sensors and Actuators B: Chemical, vol. 259, pp. 703-708, 2018.
    [77] A. Zabihihesari, A. Khalili, A. J. Hilliker, and P. Rezai, “Open access tool and microfluidic devices for phenotypic quantification of heart function of intact fruit fly and zebrafish larvae,” Computers in Biology and Medicine, vol. 132, p. 104314, 2021.
    [78] C.-Y. Chen, T.-C. C. Chien, K. Mani, and H.-Y. Tsai, “Axial orientation control of zebrafish larvae using artificial cilia,” Microfluidics and nanofluidics, vol. 20, no. 1, p. 12, 2016.
    [79] L. L. Bischel, B. R. Mader, J. M. Green, A. Huttenlocher, and D. J. Beebe, “Zebrafish Entrapment By Restriction Array (ZEBRA) device: a low-cost, agarose-free zebrafish mounting technique for automated imaging,” Lab on a Chip, vol. 13, no. 9, pp. 1732-1736, 2013.
    [80] X. Lin, V. W. Li, S. Chen, C.-Y. Chan, S.-H. Cheng, and P. Shi, “Autonomous system for cross-organ investigation of ethanol-induced acute response in behaving larval zebrafish,” Biomicrofluidics, vol. 10, no. 2, p. 024123, 2016.
    [81] K. Mattern, J. W. von Trotha, P. Erfle, R. W. Köster, and A. Dietzel, “NeuroExaminer: an all-glass microfluidic device for whole-brain in vivo imaging in zebrafish,” Communications biology, vol. 3, no. 1, pp. 1-6, 2020.
    [82] R. Candelier, M. S. Murmu, S. A. Romano, A. Jouary, G. Debrégeas, and G. Sumbre, “A microfluidic device to study neuronal and motor responses to acute chemical stimuli in zebrafish,” Scientific reports, vol. 5, no. 1, pp. 1-10, 2015.
    [83] Y.-F. Wang et al., “Edible additive effects on zebrafish cardiovascular functionality with hydrodynamic assessment,” Scientific reports, vol. 10, no. 1, pp. 1-8, 2020.
    [84] A. Ozcelik et al., “Acoustic tweezers for the life sciences,” Nature methods, vol. 15, no. 12, pp. 1021-1028, 2018.
    [85] J. Zhang et al., “Fluorescence-based sorting of Caenorhabditis elegans via acoustofluidics,” Lab on a Chip, vol. 20, no. 10, pp. 1729-1739, 2020.
    [86] C. Chen et al., “Acoustofluidic rotational tweezing enables high-speed contactless morphological phenotyping of zebrafish larvae,” Nature communications, vol. 12, no. 1, pp. 1-13, 2021.
    [87] K. Mani and C.-Y. Chen, “A non-invasive acoustic-trapping of zebrafish microfluidics,” Biomicrofluidics, vol. 15, no. 1, p. 014109, 2021.
    [88] K. Mani and C.-Y. Chen, “A smart microfluidic-based fish farm for zebrafish screening,” Microfluidics and Nanofluidics, vol. 25, no. 3, pp. 1-12, 2021.
    [89] C. B. Kimmel, J. Patterson, and R. O. Kimmel, “The development and behavioral characteristics of the startle response in the zebra fish,” Developmental Psychobiology: The Journal of the International Society for Developmental Psychobiology, vol. 7, no. 1, pp. 47-60, 1974.
    [90] R. C. Eaton, R. Farley, C. Kimmel, and E. Schabtach, “Functional development in the Mauthner cell system of embryos and larvae of the zebra fish,” Journal of neurobiology, vol. 8, no. 2, pp. 151-172, 1977.
    [91] H. López-Schier, “Neuroplasticity in the acoustic startle reflex in larval zebrafish,” Current opinion in neurobiology, vol. 54, pp. 134-139, 2019.
    [92] R. Benvenutti, M. Marcon, M. Gallas-Lopes, A. J. de Melo, A. P. Herrmann, and A. Piato, “Swimming in the maze: An overview of maze apparatuses and protocols to assess zebrafish behavior,” Neuroscience & Biobehavioral Reviews, 2021.

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