@article {69997, title = {A connectomic resource for neural cataloguing and circuit dissection of the larval zebrafish brain}, journal = {bioRxiv}, year = {2025}, month = {2025 Jun 16}, abstract = {

We present a correlated light and electron microscopy (CLEM) dataset from a 7-day-old larval zebrafish, integrating confocal imaging of genetically labeled excitatory (vglut2a) and inhibitory (gad1b) neurons with nanometer-resolution serial section EM. The dataset spans the brain and anterior spinal cord, capturing \>180,000 segmented soma, \>40,000 molecularly annotated neurons, and 30 million synapses, most of which were classified as excitatory, inhibitory, or modulatory. To characterize the directional flow of activity across the brain, we leverage the synaptic and cell body annotations to compute region-wise input and output drive indices at single cell resolution. We illustrate the dataset{\textquoteright}s utility by dissecting and validating circuits in three distinct systems: water flow direction encoding in the lateral line, recurrent excitation and contralateral inhibition in a hindbrain motion integrator, and functionally relevant targeted long-range projections from a tegmental excitatory nucleus, demonstrating that this resource enables rigorous hypothesis testing as well as exploratory-driven circuit analysis. The dataset is integrated into an open-access platform optimized to facilitate community reconstruction and discovery efforts throughout the larval zebrafish brain.

Preprint: https://www.biorxiv.org/content/early/2025/06/15/2025.06.10.658982

}, doi = {10.1101/2025.06.10.658982}, url = {https://www.biorxiv.org/content/early/2025/06/15/2025.06.10.658982}, author = {Petkova, Mariela D. and Januszewski, Micha{\l} and Blakely, Tim and Herrera, Kristian J. and Schuhknecht, Gregor F.P. and Tiller, Robert and Choi, Jinhan and Schalek, Richard L. and Boulanger-Weill, Jonathan and Peleg, Adi and Wu, Yuelong and Wang, Shuohong and Troidl, Jakob and Kumar Vohra, Sumit and Wei, Donglai and Lin, Zudi and Bahl, Armin and Tapia, Juan Carlos and Iyer, Nirmala and Miller, Zachary T. and Hebert, Kathryn B. and Pavarino, Elisa C. and Taylor, Milo and Deng, Zixuan and Stingl, Moritz and Hockling, Dana and Hebling, Alina and Wang, Ruohong C. and Zhang, Lauren L. and Dvorak, Sam and Faik, Zainab and King, Kareem I. and Goel, Pallavi and Wagner-Carena, Julian and Aley, David and Chalyshkan, Selimzhan and Contreas, Dominick and Li, Xiong and Muthukumar, Akila V. and Vernaglia, Marina S. and Carrasco, Teodoro Tapia and Melnychuck, Sofia and Yan, TingTing and Dalal, Ananya and DiMartino, James M. and Brown, Sam and Safo-Mensa, Nana and Greenberg, Ethan and Cook, Michael and Finley-May, Samantha and Flynn, Miriam A. and Hopkins, Gary Patrick and Kovalyak, Julie and Leonard, Meghan and Lohff, Alanna and Ordish, Christopher and Scott, Ashley L. and Takemura, Satoko and Walsh, Claire and Walsh, John J. and Berger, Daniel R. and Pfister, Hanspeter and Berg, Stuart and Knecht, Christopher and Meissner, Geoffrey W. and Korff, Wyatt and Ahrens, Misha B. and Jain, Viren and Lichtman, Jeff W. and Engert, Florian} } @article {70031, title = {Fishexplorer: A multimodal cellular atlas platform for neuronal circuit dissection in larval zebrafish}, journal = {bioRxiv}, year = {2025}, month = {2025 Jul 14}, abstract = {

Understanding how neural circuits give rise to behavior requires comprehensive knowledge of neuronal morphology, connectivity, and function. Atlas platforms play a critical role in enabling the visualization, exploration, and dissemination of such information. Here, we present FishExplorer, an interactive and expandable community platform designed to integrate and analyze multimodal brain data from larval zebrafish. FishExplorer supports datasets acquired through light microscopy (LM), electron microscopy (EM), and X-ray imaging, all co-registered within a unified spatial coordinate system which enables seamless comparison of neuronal morphologies and synaptic connections. To further assist circuit analysis, FishExplorer includes a suite of tools for querying and visualizing connectivity at the whole-brain scale. By integrating data from recent large-scale EM reconstructions (presented in companion studies), FishExplorer enables researchers to validate circuit models, explore wiring principles, and generate new hypotheses. As a continuously evolving resource, FishExplorer is designed to facilitate collaborative discovery and serve the growing needs of the teleost neuroscience community.

}, doi = {10.1101/2025.07.14.664689}, url = {https://www.biorxiv.org/content/early/2025/07/15/2025.07.14.664689}, author = {Vohra, Sumit K. and Eberle, Maren and Boulanger-Weill, Jonathan and Petkova, Mariela D. and Schuhknecht, Gregor F. P. and Herrera, Kristian J. and K{\"a}mpf, Florian and Ruetten, Virginia M. S. and Lichtman, Jeff W. and Engert, Florian and Randlett, Owen and Bahl, Armin and Isoe, Yasuko and Hege, Hans-Christian and Baum, Daniel} } @article {69839, title = {Whole-brain, all-optical interrogation of neuronal dynamics underlying gut interoception in zebrafish}, journal = {bioRxiv}, year = {2025}, month = {2025 Mar 30}, abstract = {

Internal signals from the body and external signals from the environment are processed by brain-wide circuits to guide behavior. However, the complete brain-wide circuit activity underlying interoception{\textemdash}the perception of bodily signals{\textemdash}and its interactions with sensorimotor circuits remain unclear due to technical barriers to accessing whole-brain activity at the cellular level during organ physiology perturbations. We developed an all-optical system for whole-brain neuronal imaging in behaving larval zebrafish during optical uncaging of gut-targeted nutrients and visuo-motor stimulation. Widespread neural activity throughout the brain encoded nutrient delivery, unfolding on multiple timescales across many specific peripheral and central regions. Evoked activity depended on delivery location and occurred with amino acids and D-glucose, but not L-glucose. Many gut-sensitive neurons also responded to swimming and visual stimuli, with brainstem areas primarily integrating gut and motor signals and midbrain regions integrating gut and visual signals. This platform links body-brain communication studies to brain-wide neural computation in awake, behaving vertebrates.

}, doi = {10.1101/2025.03.26.645305}, url = {https://www.biorxiv.org/content/early/2025/03/30/2025.03.26.645305}, author = {Chen, Weiyu and James, Ben and Ruetten, Virginia M. S. and Banala, Sambashiva and Wei, Ziqiang and Fleishman, Greg and Rubinov, Mikail and Fishman, Mark C. and Engert, Florian and Lavis, Luke D. and Fitzgerald, James E. and Ahrens, Misha B.} } @article {69703, title = {Ketamine induces plasticity in a norepinephrine-astroglial circuit to promote behavioral perseverance.}, journal = {Neuron}, year = {2024}, month = {2024 Dec 16}, pages = {1-15}, abstract = {

Transient exposure to ketamine can trigger lasting changes in behavior and mood. We found that brief ketamine exposure causes long-term suppression of futility-induced passivity in larval zebrafish, reversing the "giving-up" response that normally occurs when swimming fails to cause forward movement. Whole-brain imaging revealed that ketamine hyperactivates the norepinephrine-astroglia circuit responsible for passivity. After ketamine washout, this circuit exhibits hyposensitivity to futility, leading to long-term increased perseverance. Pharmacological, chemogenetic, and optogenetic manipulations show that norepinephrine and astrocytes are necessary and sufficient for ketamine{\textquoteright}s long-term perseverance-enhancing aftereffects. In\ vivo calcium imaging revealed that astrocytes in adult mouse cortex are similarly activated during futility in the tail suspension test and that acute ketamine exposure also induces astrocyte hyperactivation. The cross-species conservation of ketamine{\textquoteright}s modulation of noradrenergic-astroglial circuits and evidence that plasticity in this pathway can alter the behavioral response to futility hold promise for identifying new strategies to treat affective disorders.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2024.11.011}, url = {https://doi.org/10.1016/j.neuron.2024.11.011}, author = {Duque, Marc and Chen, Alex B and Hsu, Eric and Narayan, Sujatha and Rymbek, Altyn and Begum, Shahinoor and Saher, Gesine and Cohen, Adam E and Olson, David E and Li, Yulong and Prober, David A and Bergles, Dwight E and Fishman, Mark C and Engert, Florian and Ahrens, Misha B} } @article {69471, title = {Norepinephrine changes behavioral state via astroglial purinergic signaling}, journal = {Science}, year = {2024}, month = {2025 May 15}, abstract = {

Both neurons and glia communicate through diffusible neuromodulators; however, how neuron-glial interactions in such neuromodulatory networks influence circuit computation and behavior is unclear. During futility-induced behavioral transitions in the larval zebrafish, the neuromodulator norepinephrine (NE) drives fast excitation and delayed inhibition of behavior and circuit activity. We found that astroglial purinergic signaling implements the inhibitory arm of this motif. In larval zebrafish, NE triggers astroglial release of adenosine triphosphate (ATP), extracellular conversion of ATP into adenosine, and behavioral suppression through activation of hindbrain neuronal adenosine receptors. Our results suggest a computational and behavioral role for an evolutionarily conserved astroglial purinergic signaling axis in NE-mediated behavioral and brain state transitions and position astroglia as important effectors in neuromodulatory signaling.

Preprint:\ https://www.biorxiv.org/content/early/2024/05/23/2024.05.23.595576

}, doi = {10.1126/science.adq5233}, url = {https://www.science.org/stoken/author-tokens/ST-2654/full}, author = {Chen, Alex B. and Duque, Marc and Wang, Vickie M. and Dhanasekar, Mahalakshmi and Mi, Xuelong and Rymbek, Altyn and Tocquer, Loeva and Narayan, Sujatha and Prober, David and Yu, Guoqiang and Wyart, Claire and Engert, Florian and Ahrens, Misha B.} } @article {67890, title = {Voltage imaging identifies spinal circuits that modulate locomotor adaptation in zebrafish.}, journal = {Neuron}, year = {2022}, month = {2022 Jan 24}, abstract = {

Motor systems must continuously adapt their output to maintain a desired trajectory. While the spinal circuits underlying rhythmic locomotion are well described, little is known about how the network modulates its output strength. A major challenge has been the difficulty of recording from spinal neurons during behavior. Here, we use voltage imaging to map the membrane potential of large populations of glutamatergic neurons throughout the spinal cord of the larval zebrafish during fictive swimming in a virtual environment. We characterized a previously undescribed subpopulation of tonic-spiking ventral V3 neurons whose spike rate correlated with swimming strength and bout length. Optogenetic activation of V3 neurons led to stronger swimming and longer bouts but did not affect tail beat frequency. Genetic ablation of V3 neurons led to reduced locomotor adaptation. The power of voltage imaging allowed us to identify V3 neurons as a critical driver of locomotor adaptation in zebrafish.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2022.01.001}, author = {B{\"o}hm, Urs L and Kimura, Yukiko and Kawashima, Takashi and Ahrens, Misha B and Higashijima, Shin-Ichi and Engert, Florian and Cohen, Adam E} } @article {67991, title = {Voltage imaging identifies spinal circuits that modulate locomotor adaptation in zebrafish.}, journal = {Neuron}, volume = {110}, year = {2022}, month = {2022 Apr 06}, pages = {1211-1222.e4}, abstract = {

Motor systems must continuously adapt their output to maintain a desired trajectory. While the spinal circuits underlying rhythmic locomotion are well described, little is known about how the network modulates its output strength. A major challenge has been the difficulty of recording from spinal neurons during behavior. Here, we use voltage imaging to map the membrane potential of large populations of glutamatergic neurons throughout the spinal cord of the larval zebrafish during fictive swimming in a virtual environment. We characterized a previously undescribed subpopulation of tonic-spiking ventral V3 neurons whose spike rate correlated with swimming strength and bout length. Optogenetic activation of V3 neurons led to stronger swimming and longer bouts but did not affect tail beat frequency. Genetic ablation of V3 neurons led to reduced locomotor adaptation. The power of voltage imaging allowed us to identify V3 neurons as a critical driver of locomotor adaptation in zebrafish.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2022.01.001}, author = {B{\"o}hm, Urs L and Kimura, Yukiko and Kawashima, Takashi and Ahrens, Misha B and Higashijima, Shin-Ichi and Engert, Florian and Cohen, Adam E} } @article {67299, title = {Algorithms underlying flexible phototaxis in larval zebrafish.}, journal = {Journal of Experimental Biology}, volume = {224}, year = {2021}, month = {2021 May 15}, abstract = {

To thrive, organisms must maintain physiological and environmental variables in suitable ranges. Given that these variables undergo constant fluctuations over varying time scales, how do biological control systems maintain control over these values? We explored this question in the context of phototactic behavior in larval zebrafish. We demonstrate that larval zebrafish use phototaxis to maintain environmental luminance at a set point, that the value of this set point fluctuates on a time scale of seconds when environmental luminance changes, and that it is determined by calculating the mean input across both sides of the visual field. These results expand on previous studies of flexible phototaxis in larval zebrafish; they suggest that larval zebrafish exert homeostatic control over the luminance of their surroundings, and that feedback from the surroundings drives allostatic changes to the luminance set point. As such, we describe a novel behavioral algorithm with which larval zebrafish exert control over a sensory variable.

}, issn = {1477-9145}, doi = {10.1242/jeb.238386}, author = {Chen, Alex B and Deb, Diptodip and Bahl, Armin and Engert, Florian} } @article {65198, title = {A bidirectional network for appetite control in larval zebrafish.}, journal = {Elife}, volume = {8}, year = {2019}, month = {2019 Oct 18}, abstract = {

Medial and lateral hypothalamic loci are known to suppress and enhance appetite, respectively, but the dynamics and functional significance of their interaction have yet to be explored. Here we report that, in larval zebrafish, primarily serotonergic neurons of the ventromedial caudal hypothalamus (cH) become increasingly active during food deprivation, whereas activity in the lateral hypothalamus (LH) is reduced. Exposure to food sensory and consummatory cues reverses the activity patterns of these two nuclei, consistent with their representation of opposing internal hunger states. Baseline activity is restored as food-deprived animals return to satiety via voracious feeding. The antagonistic relationship and functional importance of cH and LH activity patterns were confirmed by targeted stimulation and ablation of cH neurons. Collectively, the data allow us to propose a model in which these hypothalamic nuclei regulate different phases of hunger and satiety and coordinate energy balance via antagonistic control of distinct behavioral outputs.

}, issn = {2050-084X}, doi = {10.7554/eLife.43775}, author = {Wee, Caroline Lei and Song, Erin Yue and Johnson, Robert Evan and Ailani, Deepak and Randlett, Owen and Kim, Ji-Yoon and Nikitchenko, Maxim and Bahl, Armin and Yang, Chao-Tsung and Ahrens, Misha B and Kawakami, Koichi and Engert, Florian and Kunes, Sam} } @article {49520, title = {Brain-wide organization of neuronal activity and convergent sensorimotor transformations in larval zebrafish.}, journal = {Neuron}, volume = {100}, year = {2018}, month = {2018 Nov 21}, pages = {876-890.e5}, abstract = {

Simultaneous recordings of large populations of neurons in behaving animals allow detailed observation of high-dimensional, complex brain activity. However, experimental approaches often focus on singular behavioral paradigms or brain areas. Here, we recorded whole-brain neuronal activity of larval zebrafish presented with a battery of visual stimuli while recording fictive motor output. We identified neurons tuned to each stimulus type and motor output and discovered groups of neurons in the anterior hindbrain that respond to different stimuli eliciting similar behavioral responses. These convergent sensorimotor representations were only weakly correlated to instantaneous motor activity, suggesting that they critically inform, but do not directly generate, behavioral choices. To catalog brain-wide activity beyond explicit sensorimotor processing, we developed an unsupervised clustering technique that organizes neurons into functional groups. These analyses enabled a broad overview of the functional organization of the brain and revealed numerous brain nuclei whose neurons exhibit concerted activity patterns.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2018.09.042}, author = {Chen, Xiuye and Mu, Yu and Hu, Yu and Kuan, Aaron T and Nikitchenko, Maxim and Randlett, Owen and Chen, Alex B and Gavornik, Jeffery P and Sompolinsky, Haim and Engert, Florian and Ahrens, Misha B} } @article {49275, title = {Lamellar projections in the endolymphatic sac act as a relief valve to regulate inner ear pressure.}, journal = {eLife}, volume = {7}, year = {2018}, month = {2018 Jun 19}, abstract = {

The inner ear is a fluid-filled closed-epithelial structure whose function requires maintenance of an internal hydrostatic pressure and fluid composition. The endolymphatic sac (ES) is a dead-end epithelial tube connected to the inner ear whose function is unclear. ES defects can cause distended ear tissue, a pathology often seen in hearing and balance disorders. Using live imaging of zebrafish larvae, we reveal that the ES undergoes cycles of slow pressure-driven inflation followed by rapid deflation. Absence of these cycles in mutants leads to distended ear tissue. Using serial-section electron microscopy and adaptive optics lattice light-sheet microscopy, we find a pressure relief valve in the ES comprised of partially separated apical junctions and dynamic overlapping basal lamellae that separate under pressure to release fluid. We propose that this lmx1-dependent pressure relief valve is required to maintain fluid homeostasis in the inner ear and other fluid-filled cavities.

}, issn = {2050-084X}, doi = {10.7554/eLife.37131}, author = {Swinburne, Ian A and Mosaliganti, Kishore R and Upadhyayula, Srigokul and Liu, Tsung-Li and Hildebrand, David G C and Tsai, Tony Y-C and Chen, Anzhi and Al-Obeidi, Ebaa and Fass, Anna K and Malhotra, Samir and Engert, Florian and Lichtman, Jeff W and Kirchausen, Tomas and Betzig, Eric and Megason, Sean G} } @article {49095, title = {NeuroStorm: accelerating brain science discovery in the cloud.}, journal = {arXiv}, year = {2018}, month = {2018 Mar 09}, abstract = {

Neuroscientists are now able to acquire data at staggering rates across spatiotemporal scales. However, our ability to capitalize on existing datasets, tools, and intellectual capacities is hampered by technical challenges. The key barriers to accelerating scientific discovery correspond to the FAIR data principles: findability, global access to data, software interoperability, and reproducibility/re-usability. We conducted a hackathon dedicated to making strides in those steps. This manuscript is a technical report summarizing these achievements, and we hope serves as an example of the effectiveness of focused, deliberate hackathons towards the advancement of our quickly-evolving field.

}, url = {https://arxiv.org/abs/1803.03367}, author = {Kiar, Gregory and Anderson, Robert J and Baden, Alex and Badea, Alexandra and Bridgeford, Eric W and Champion, Andrew and Chandrashekar, Jayaram and Collman, Forrest and Duderstadt, Brandon and Evans, Alan C and Engert, Florian and Falk, Benjamin and Glatard, Tristan and Roncal, William Gray and Kennedy, David N and Maitlin-Shepard and Marren, Ryan A and Nnaemeka, Onyeka and Perlman, Eric and Seshamani, Sharmishtaas} } @article {49060, title = {A robotic multidimensional directed evolution approach applied to fluorescent voltage reporters.}, journal = {Nature Chemical Biology}, year = {2018}, month = {2018 Feb 26}, abstract = {

We developed a new way to engineer complex proteins toward multidimensional specifications using a simple, yet scalable, directed evolution strategy. By robotically picking mammalian cells that were identified, under a microscope, as expressing proteins that simultaneously exhibit several specific properties, we can screen hundreds of thousands of proteins in a library in just a few hours, evaluating each along multiple performance axes. To demonstrate the power of this approach, we created\ a genetically encoded fluorescent voltage indicator, simultaneously optimizing its\ brightness and membrane localization using our microscopy-guided cell-picking strategy. We produced the high-performance opsin-based fluorescent voltage reporter Archon1 and demonstrated its utility by imaging spiking and millivolt-scale subthreshold and synaptic activity in acute mouse brain slices and in larval zebrafish in vivo. We also measured postsynaptic responses downstream of optogenetically controlled neurons in C. elegans.

}, issn = {1552-4469}, doi = {10.1038/s41589-018-0004-9}, author = {Piatkevich, Kiryl D and Jung, Erica E and Straub, Christoph and Linghu, Changyang and Park, Demian and Suk, Ho-Jun and Hochbaum, Daniel R and Goodwin, Daniel and Pnevmatikakis, Eftychios and Pak, Nikita and Kawashima, Takashi and Yang, Chao-Tsung and Jeff L Rhoades and Shemesh, Or and Asano, Shoh and Yoon, Young-Gyu and Freifeld, Limor and Saulnier, Jessica L and Riegler, Clemens and Engert, Florian and Hughes, Thom and Drobizhev, Mikhail and Szabo, Balint and Ahrens, Misha B and Flavell, Steven W and Sabatini, Bernardo L and Boyden, Edward S} } @article {48497, title = {Whole-brain serial-section electron microscopy in larval zebrafish.}, journal = {Nature}, volume = {545}, year = {2017}, month = {2017 May 18}, pages = {345-349}, abstract = {

High-resolution serial-section electron microscopy (ssEM) makes it possible to investigate the dense meshwork of axons, dendrites, and synapses that form neuronal circuits. However, the imaging scale required to comprehensively reconstruct these structures is more than ten orders of magnitude smaller than the spatial extents occupied by networks of interconnected neurons, some of which span nearly the entire brain. Difficulties in generating and handling data for large volumes at nanoscale resolution have thus restricted vertebrate studies to fragments of circuits. These efforts were recently transformed by advances in computing, sample handling, and imaging techniques, but high-resolution examination of entire brains remains a challenge. Here, we present ssEM data for the complete brain of a larval zebrafish (Danio rerio) at 5.5 days post-fertilization. Our approach utilizes multiple rounds of targeted imaging at different scales to reduce acquisition time and data management requirements. The resulting dataset can be analysed to reconstruct neuronal processes, permitting us to survey all myelinated axons (the projectome). These reconstructions enable precise investigations of neuronal morphology, which reveal remarkable bilateral symmetry in myelinated reticulospinal and lateral line afferent axons. We further set the stage for whole-brain structure-function comparisons by co-registering functional reference atlases and in vivo two-photon fluorescence microscopy data from the same specimen. All obtained images and reconstructions are provided as an open-access resource.

}, issn = {1476-4687}, doi = {10.1038/nature22356}, author = {Hildebrand, David Grant Colburn and Cicconet, Marcelo and Torres, Russel Miguel and Choi, Woohyuk and Quan, Tran Minh and Moon, Jungmin and Wetzel, Arthur Willis and Scott Champion, Andrew and Graham, Brett Jesse and Randlett, Owen and Plummer, George Scott and Portugues, Ruben and Bianco, Isaac Henry and Saalfeld, Stephan and Baden, Alexander David and Lillaney, Kunal and Burns, Randal and Vogelstein, Joshua Tzvi and Schier, Alexander Franz and Lee, Wei-Chung Allen and Jeong, Won-Ki and Lichtman, Jeff William and Engert, Florian} } @article {47380, title = {Brain-wide mapping of neural activity controlling zebrafish exploratory locomotion.}, journal = {eLife}, year = {2016}, month = {2016 Mar 22}, abstract = {

In the absence of salient sensory cues to guide behavior, animals must still execute sequences of motor actions in order to forage and explore. How such successive motor actions are coordinated to form global locomotion trajectories is unknown. We mapped the structure of larval zebrafish swim trajectories in homogeneous environments and found that trajectories were characterized by alternating sequences of repeated turns to the left and to the right. Using whole-brain light-sheet imaging, we identified activity relating to the behavior in specific neural populations that we termed the anterior rhombencephalic turning region (ARTR). ARTR perturbations biased swim direction and reduced the dependence of turn direction on turn history, indicating that the ARTR is part of a network generating the temporal correlations in turn direction. We also find suggestive evidence for ARTR mutual inhibition and ARTR projections to premotor neurons. Finally, simulations suggest the observed turn sequences may underlie efficient exploration of local environments.

}, doi = {10.7554/eLife.12741}, url = {http://dx.doi.org/10.7554/eLife.12741}, author = {Dunn, Timothy W. and Mu, Yu and Narayan, Sujatha and Randlett, Owen and Naumann, Eva A. and Yang, Chao-Tsung and Schier, Alexander F. and Freeman, Jeremy and Engert, Florian and Ahrens, Misha B.} } @article {48386, title = {From Whole-Brain Data to Functional Circuit Models: The Zebrafish Optomotor Response.}, journal = {Cell}, volume = {167}, year = {2016}, month = {2016 11 03}, pages = {947-960.e20}, abstract = {

Detailed descriptions of brain-scale sensorimotor circuits underlying vertebrate behavior remain elusive. Recent advances in zebrafish neuroscience offer new opportunities to dissect such circuits via whole-brain imaging, behavioral analysis, functional perturbations, and network modeling. Here, we harness these tools to generate a brain-scale circuit\ model of the optomotor response, an orienting behavior evoked by visual motion. We show that such motion is processed by diverse neural response types distributed across multiple brain regions. To transform sensory input into action, these regions sequentially integrate eye- and direction-specific sensory streams, refine representations via interhemispheric inhibition, and demix locomotor instructions to independently drive turning and forward swimming. While experiments revealed many neural response types throughout the brain, modeling identified the dimensions of functional connectivity most critical for the behavior. We thus reveal how distributed neurons collaborate to generate behavior and illustrate a paradigm for distilling functional circuit models from whole-brain data.

}, keywords = {Animals, Brain, Feedback, Sensory, Neural Pathways, Neuroimaging, Neurons, Swimming, Visual Perception, Zebrafish}, issn = {1097-4172}, doi = {10.1016/j.cell.2016.10.019}, author = {Naumann, Eva A and Fitzgerald, James E and Dunn, Timothy W and Rihel, Jason and Sompolinsky, Haim and Engert, Florian} } @article {47283, title = {Neural circuits underlying visually evoked escapes in larval zebrafish.}, journal = {Neuron}, volume = {89}, year = {2016}, month = {2016 Feb 3}, pages = {613-628}, abstract = {

Escape behaviors deliver organisms away from imminent catastrophe. Here, we characterize behavioral responses of freely swimming larval zebrafish to\ looming visual stimuli simulating predators. We report that the visual system alone can recruit lateralized, rapid escape motor programs, similar to those elicited by mechanosensory modalities. Two-photon calcium imaging of retino-recipient midbrain regions isolated the optic tectum as an important center processing looming stimuli, with ensemble activity encoding the critical image size determining escape latency. Furthermore, we describe activity in retinal ganglion cell terminals and superficial inhibitory interneurons in the tectum during looming and propose a model for how temporal dynamics in tectal\ periventricular neurons might arise from computations between these two fundamental constituents. Finally, laser ablations of hindbrain circuitry confirmed that visual and mechanosensory modalities share the same premotor output network. We\ establish a circuit for the processing of aversive stimuli in the context of an innate visual behavior.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2015.12.021}, author = {Dunn, Timothy W and Gebhardt, Christoph and Naumann, Eva A and Riegler, Clemens and Ahrens, Misha B and Engert, Florian and Del Bene, Filippo} } @article {46532, title = {Large-scale imaging in small brains.}, journal = {Current Opinion in Neurobiology}, volume = {32C}, year = {2015}, month = {2015 Jun 1}, pages = {78-86}, abstract = {

The dense connectivity in the brain means that one neuron{\textquoteright}s activity can influence many others. To observe this interconnected system comprehensively, an aspiration within neuroscience is to record from as many neurons as possible at the same time. There are two useful routes toward this goal: one is to expand the spatial extent of functional imaging techniques, and the second is to use animals with small brains. Here we review recent progress toward imaging many neurons and complete populations of identified neurons in small vertebrates and invertebrates.

}, issn = {1873-6882}, doi = {10.1016/j.conb.2015.01.007}, author = {Ahrens, Misha B and Engert, Florian} } @article {48388, title = {Whole-brain activity mapping onto a zebrafish brain atlas.}, journal = {Nature methods}, volume = {12}, year = {2015}, month = {2015 Nov}, pages = {1039-46}, abstract = {

In order to localize the neural circuits involved in generating behaviors, it is necessary to assign activity onto anatomical maps of the nervous system. Using brain registration across hundreds of larval zebrafish, we have built an expandable open-source atlas containing molecular labels and definitions of anatomical regions, the Z-Brain. Using this platform and immunohistochemical detection of phosphorylated extracellular signal{\textendash}regulated kinase (ERK) as a readout of neural activity, we have developed a system to create and contextualize whole-brain maps of stimulus- and behavior-dependent neural activity. This mitogen-activated protein kinase (MAP)-mapping assay is technically simple, and data analysis is completely automated. Because MAP-mapping is performed on freely swimming fish, it is applicable to studies of nearly any stimulus or behavior. Here we demonstrate our high-throughput approach using pharmacological, visual and noxious stimuli, as well as hunting and feeding. The resultant maps outline hundreds of areas associated with behaviors.

}, keywords = {Algorithms, Animals, Automation, Behavior, Animal, Brain, Brain Mapping, Calcium, Extracellular Signal-Regulated MAP Kinases, Image Processing, Computer-Assisted, Immunohistochemistry, Microscopy, Confocal, Neurites, Neurons, Phosphorylation, Principal Component Analysis, Reproducibility of Results, Software, Swimming, Zebrafish}, issn = {1548-7105}, doi = {10.1038/nmeth.3581}, author = {Randlett, Owen and Wee, Caroline L and Naumann, Eva A and Nnaemeka, Onyeka and Schoppik, David and Fitzgerald, James E and Portugues, Ruben and Lacoste, Alix M B and Riegler, Clemens and Engert, Florian and Schier, Alexander F} } @article {5840, title = {Identification of nonvisual photomotor response cells in the vertebrate hindbrain.}, journal = {The Journal of Neuroscience}, volume = {33}, year = {2013}, month = {2013 Feb 27}, pages = {3834-43}, abstract = {

Nonvisual photosensation enables animals to sense light without sight. However, the cellular and molecular mechanisms of nonvisual photobehaviors are poorly understood, especially in vertebrate animals. Here, we describe the photomotor response (PMR), a robust and reproducible series of motor behaviors in zebrafish that is elicited by visual wavelengths of light but does not require the eyes, pineal gland, or other canonical deep-brain photoreceptive organs. Unlike the relatively slow effects of canonical nonvisual pathways, motor circuits are strongly and quickly (seconds) recruited during the PMR behavior. We find that the hindbrain is both necessary and sufficient to drive these behaviors. Using in vivo calcium imaging, we identify a discrete set of neurons within the hindbrain whose responses to light mirror the PMR behavior. Pharmacological inhibition of the visual cycle blocks PMR behaviors, suggesting that opsin-based photoreceptors control this behavior. These data represent the first known light-sensing circuit in the vertebrate hindbrain.

}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.3689-12.2013}, author = {Kokel, David and Dunn, Timothy W. and Ahrens, Misha B and Alshut, R{\"u}diger and Cheung, Chung Yan J. and Saint-Amant, Louis and Bruni, Giancarlo and Mateus, Rita and van Ham, Tjakko J. and Shiraki, Tomoya and Fukada, Yoshitaka and Kojima, Daisuke and Yeh, Jing-Ruey J. and Mikut, Ralf and von Lintig, Johannes and Engert, Florian and Peters, Randall T.} } @article {6222, title = {Spinal projection neurons control turning behaviors in zebrafish.}, journal = {Current Biology}, volume = {23}, year = {2013}, month = {2013 Aug 19}, pages = {1566-73}, abstract = {

Discrete populations of brainstem spinal projection neurons (SPNs) have been shown to exhibit behavior-specific responses during locomotion [1-9], suggesting that separate descending pathways, each dedicated to a specific behavior, control locomotion. In an alternative model, a large variety of motor outputs could be generated from different combinations of a small number of basic motor pathways. We examined this possibility by studying the precise role of ventromedially located hindbrain SPNs (vSPNs) in generating turning behaviors. We found that unilateral laser ablation of vSPNs reduces the tail deflection and cycle period specifically during the first undulation cycle of a swim bout, whereas later tail movements are unaffected. This holds true during phototaxic [10], optomotor [11], dark-flash-induced [12], and spontaneous turns [13], suggesting a universal role of these neurons in controlling turning behaviors. Importantly, we found that the ablation not only abolishes turns but also results in a dramatic increase in the number of forward swims, suggesting that these neurons transform forward swims into turns by introducing turning kinematics into a basic motor pattern of symmetric tail undulations. Finally, we show that vSPN activity is direction specific and graded by turning angle. Together, these results provide a clear example of how a specific motor pattern can be transformed into different behavioral events by the graded activation of a small set of SPNs.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2013.06.044}, author = {Huang, Kuo-Hua and Ahrens, Misha B and Dunn, Timothy W. and Engert, Florian} } @article {6031, title = {Two-photon calcium imaging during fictive navigation in virtual environments.}, journal = {Frontiers in Neural Circuits}, volume = {7}, year = {2013}, month = {2013 Jun 6}, pages = {104}, abstract = {

A full understanding of nervous system function requires recording from large populations of neurons during naturalistic behaviors. Here we enable paralyzed larval zebrafish to fictively navigate two-dimensional virtual environments while we record optically from many neurons with two-photon imaging. Electrical recordings from motor nerves in the tail are decoded into intended forward swims and turns, which are used to update a virtual environment displayed underneath the fish. Several behavioral features-such as turning responses to whole-field motion and dark avoidance-are well-replicated in this virtual setting. We readily observed neuronal populations in the hindbrain with laterally selective responses that correlated with right or left optomotor behavior. We also observed neurons in the habenula, pallium, and midbrain with response properties specific to environmental features. Beyond single-cell correlations, the classification of network activity in such virtual settings promises to reveal principles of brainwide neural dynamics during behavior.

}, issn = {1662-5110}, doi = {10.3389/fncir.2013.00104 *equal contribution}, author = {Ahrens, Misha B* and Huang, Kuo Hua* and Narayan, Sujatha and Mensh, Brett D and Engert, Florian} } @article {5671, title = {Brain-wide neuronal dynamics during motor adaptation in zebrafish.}, journal = {Nature}, volume = {485}, year = {2012}, month = {2012 May 24}, pages = {471-7}, abstract = {

A fundamental question in neuroscience is how entire neural circuits generate behaviour and adapt it to changes in sensory feedback. Here we use two-photon calcium imaging to record the activity of large populations of neurons at the cellular level, throughout the brain of larval zebrafish expressing a genetically encoded calcium sensor, while the paralysed animals interact fictively with a virtual environment and rapidly adapt their motor output to changes in visual feedback. We decompose the network dynamics involved in adaptive locomotion into four types of neuronal response properties, and provide anatomical maps of the corresponding sites. A subset of these signals occurred during behavioural adjustments and are candidates for the functional elements that drive motor learning. Lesions to the inferior olive indicate a specific functional role for olivocerebellar circuitry in adaptive locomotion. This study enables the analysis of brain-wide dynamics at single-cell resolution during behaviour.

}, keywords = {Adaptation, Animals, Brain, Genetically Modified, Larva, Learning, Locomotion, Models, Nerve Net, Neurological, Neurons, Neuropil, Photic Stimulation, Physiological, Psychomotor Performance, Single-Cell Analysis, Zebrafish}, issn = {1476-4687}, doi = {10.1038/nature11057}, author = {Ahrens, Misha B and Li, Jennifer M and Orger, Michael B. and Robson, Drew N and Schier, Alexander F and Engert, Florian and Portugues, Ruben} } @article {5164, title = {Optimization of a GCaMP calcium indicator for neural activity imaging.}, journal = {The Journal of Neuroscience}, volume = {32}, year = {2012}, month = {2012 Oct 3}, pages = {13819-40}, chapter = {13819}, abstract = {

Genetically encoded calcium indicators (GECIs) are powerful tools for systems neuroscience. Recent efforts in protein engineering have significantly increased the performance of GECIs. The state-of-the art single-wavelength GECI, GCaMP3, has been deployed in a number of model organisms and can reliably detect three or more action potentials in short bursts in several systems in vivo . Through protein structure determination, targeted mutagenesis, high-throughput screening, and a battery of in vitro assays, we have increased the dynamic range of GCaMP3 by severalfold, creating a family of {\textquotedblleft}GCaMP5{\textquotedblright} sensors. We tested GCaMP5s in several systems: cultured neurons and astrocytes, mouse retina, and in vivo in Caenorhabditis chemosensory neurons, Drosophila larval neuromuscular junction and adult antennal lobe, zebrafish retina and tectum, and mouse visual cortex. Signal-to-noise ratio was improved by at least 2- to 3-fold. In the visual cortex, two GCaMP5 variants detected twice as many visual stimulus-responsive cells as GCaMP3. By combining in vivo imaging with electrophysiology we show that GCaMP5 fluorescence provides a more reliable measure of neuronal activity than its predecessor GCaMP3.GCaMP5allows more sensitive detection of neural activity in vivo andmayfind widespread applications for cellular imaging in general.

}, doi = {10.1523/​JNEUROSCI.2601-12.2012}, author = {Akerboom, Jasper and Chen, Tsai-Wen and Wardill, Trevor J. and Marvin, Jonathan S and Mutlu, Sevinc and Carreras Caldero, Nicole and Esposti, Federico and Borghuis, Bart G and Sun, Xiaonan Richard and Gordus, Andrew and Orger, Michael B. and Portugues, Ruben and Engert, Florian and Macklin, John J and Filosa, Alessandro and Aggarwal, Aman and Kerr, Rex and Takagi, Ryousuke and Kracun, Sebastian and Shigetomi, Eiji and Khakh, Baljit S. and Baier, Herwig and Lagnado, Leon and Wang, Samuel S-H and Bargmann, Cornelia and Kimmel, Bruce and Jayaraman, Vivek and Svoboda, Karel and Kim, Douglas S. and Schreiter, Eric R and Looger, Loren L} }