@article {65598, title = {A neural representation of naturalistic motion-guided behavior in the zebrafish brain.}, journal = {Current Biology}, volume = {30}, year = {2020}, month = {2020 Jun 22}, pages = {2321-33}, abstract = {

All animals must transform ambiguous sensory data into successful behavior. This requires sensory representations that accurately reflect the statistics of natural stimuli and behavior. Multiple studies show that visual motion processing is tuned for accuracy under naturalistic conditions, but the sensorimotor circuits extracting these cues and implementing motion-guided behavior remain unclear. Here we show that the larval zebrafish retina extracts a diversity of naturalistic motion cues, and the retinorecipient pretectum organizes these cues around the elements of behavior. We find that higher-order motion stimuli, gliders, induce optomotor behavior matching expectations from natural scene analyses. We then image activity of retinal ganglion cell terminals and pretectal neurons. The retina exhibits direction-selective responses across glider stimuli, and anatomically clustered pretectal neurons respond with magnitudes matching behavior. Peripheral computations thus reflect natural input statistics, whereas central brain activity precisely codes information needed for behavior. This general principle could organize sensorimotor transformations across animal species.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2020.04.043}, author = {Yildizoglu, Tugce and Riegler, Clemens and Fitzgerald, James E and Portugues, Ruben} } @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 {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 {5677, title = {Optogenetics in a transparent animal: circuit function in the larval zebrafish.}, journal = {Current Opinion in Neurobiology}, volume = {23}, year = {2013}, month = {2013 Feb}, pages = {119-26}, abstract = {

Optogenetic tools can be used to manipulate neuronal activity in a reversible and specific manner. In recent years, such methods have been applied to uncover causal relationships between activity in specified neuronal circuits and behavior in the larval zebrafish. In this small, transparent, genetic model organism, noninvasive manipulation and monitoring of neuronal activity with light is possible throughout the nervous system. Here we review recent work in which these new tools have been applied to zebrafish, and discuss some of the existing challenges of these approaches.

}, issn = {1873-6882}, doi = {10.1016/j.conb.2012.11.001}, author = {Portugues, Ruben and Severi, Kristen E and Wyart, Claire and Ahrens, Misha B} } @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} }