@article {65377, title = {High-throughput cellular-resolution synaptic connectivity mapping in vivo with concurrent two-photon optogenetics and volumetric Ca2+ imaging}, journal = {bioRxiv}, year = {2020}, month = {2020 Feb 25}, abstract = {

The ability to measure synaptic connectivity and properties is essential for understanding neuronal circuits. However, existing methods that allow such measurements at cellular resolution are laborious and technically demanding. Here, we describe a system that allows such measurements in a high-throughput way by combining two-photon optogenetics and volumetric Ca2+\ imaging with whole-cell recording. We reveal a circuit motif for generating fast undulatory locomotion in zebrafish.

}, doi = {https://doi.org/10.1101/2020.02.21.959650}, author = {McRaven, Christopher and Tanese, Dimitrii and Zhang, Lixia and Yang, Chao-Tsung and Ahrens, Misha B and Emiliani, Valentina and Koyama, Minoru} } @article {65634, title = {Precision Calcium Imaging of Dense Neural Populations via a Cell-Body-Targeted Calcium Indicator.}, journal = {Neuron}, volume = {107}, year = {2020}, month = {2020 Aug 01}, pages = {470}, abstract = {

Methods for one-photon fluorescent imaging of calcium dynamics can capture the activity of hundreds of neurons across large fields of view at a low equipment complexity and cost. In contrast to two-photon methods, however, one-photon methods suffer from higher levels of crosstalk from neuropil, resulting in a decreased signal-to-noise ratio and artifactual correlations of neural activity. We address this problem by engineering cell-body-targeted variants of the fluorescent calcium indicators GCaMP6f and GCaMP7f. We screened fusions of GCaMP to natural, as well as artificial, peptides and identified fusions that localized GCaMP to within 50\ μm of the cell body of neurons in mice and larval zebrafish. One-photon imaging of soma-targeted GCaMP in dense neural circuits reported fewer artifactual spikes from neuropil, an increased signal-to-noise ratio, and decreased artifactual correlation across neurons. Thus, soma-targeting of fluorescent calcium indicators facilitates usage of simple, powerful, one-photon methods for imaging neural calcium dynamics.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2020.05.029}, author = {Shemesh, Or A and Linghu, Changyang and Piatkevich, Kiryl D and Goodwin, Daniel and Celiker, Orhan Tunc and Gritton, Howard J and Romano, Michael F and Gao, Ruixuan and Yu, Chih-Chieh Jay and Tseng, Hua-An and Bensussen, Seth and Narayan, Sujatha and Yang, Chao-Tsung and Freifeld, Limor and Siciliano, Cody A and Gupta, Ishan and Wang, Joyce and Pak, Nikita and Yoon, Young-Gyu and Ullmann, Jeremy F P and Guner-Ataman, Burcu and Noamany, Habiba and Sheinkopf, Zoe R and Park, Won Min and Asano, Shoh and Keating, Amy E and Trimmer, James S and Reimer, Jacob and Tolias, Andreas S and Bear, Mark F and Tye, Kay M and Han, Xue and Ahrens, Misha B and Boyden, Edward S} } @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 {65023, title = {Glia accumulate evidence that actions are futile and suppress unsuccessful behavior.}, journal = {Cell}, volume = {178}, year = {2019}, month = {2019 Jun 27}, pages = {27-43}, abstract = {

When a behavior repeatedly fails to achieve its goal, animals often give up and become passive, which can be strategic for preserving energy or regrouping between attempts. It is unknown how the brain identifies behavioral failures and mediates this behavioral-state switch. In larval zebrafish swimming in virtual reality, visual feedback can be withheld so that swim attempts fail to trigger expected visual flow. After tens of seconds of such motor futility, animals became passive for similar durations. Whole-brain calcium imaging revealed noradrenergic neurons that responded specifically to failed swim attempts and radial astrocytes whose calcium levels accumulated with increasing numbers of failed attempts. Using cell ablation and optogenetic or chemogenetic activation, we found that noradrenergic neurons progressively activated brainstem radial astrocytes, which then suppressed swimming. Thus, radial astrocytes perform a computation critical for behavior: they accumulate evidence that current actions are ineffective and consequently drive changes in behavioral states.

}, doi = {10.1016/j.cell.2019.05.050}, author = {Mu, Yu and Bennett, Davis V and Rubinov, Mikail and Narayan, Sujatha and Yang, Chao-Tsung and Tanimoto, Masashi and Mensh, Brett D and Looger, Loren L and Ahrens, Misha B} } @article {49535, title = {Brain-wide circuit interrogation at the cellular level guided by online analysis of neuronal function.}, journal = {Nature Methods}, volume = {15}, year = {2018}, month = {2018 Nov 30}, pages = {1117-1125}, abstract = {

Whole-brain imaging allows for comprehensive functional mapping of distributed neural pathways, but neuronal perturbation experiments are usually limited to targeting predefined regions or genetically identifiable cell types. To complement whole-brain measures of activity with brain-wide manipulations for testing causal interactions, we introduce a system that uses measuredactivity patterns to guide optical perturbations of any subset of neurons in the same fictively behaving larval zebrafish. First, a light-sheet microscope collects whole-brain data that are rapidly analyzed by a distributed computing system to generate functional brain maps. On the basis of these maps, the experimenter can then optically ablate neurons and image activity changes across the brain. We applied this method to characterize contributions of behaviorally tuned populations to the optomotor response. We extended the system to optogenetically stimulate arbitrary subsets of neurons during whole-brain imaging. These open-source methods enable delineating the contributions of neurons to brain-wide circuit dynamics and behavior in individual animals.

}, doi = {10.1038/s41592-018-0221-x}, author = {Vladimirov, Nikita and Wang, Chen and H{\"o}ckendorf, Burkhard and Pujala, Avinash and Tanimoto, Masashi and Mu, Yu and Yang, Chao-Tsung and Wittenbach, Jason and Freeman, Jeremy and Preibisch, Stephan and Koyama, Minoru and Keller, Philipp J and Ahrens, Misha B} } @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 {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 {47299, title = {Calcium imaging of neural circuits with extended depth-of-field light-sheet microscopy.}, journal = {Optics Letters}, volume = {41}, year = {2016}, month = {2016 Feb 17}, pages = {855-8}, abstract = {

Increasing the volumetric imaging speed of light-sheet microscopy will improve its ability to detect fast changes in neural activity. Here, a system is introduced for brain-wide imaging of neural activity in the larval zebrafish by coupling structured illumination with cubic phase extended depth-of-field (EDoF) pupil encoding. This microscope enables faster light-sheet imaging and facilitates arbitrary plane scanning{\textemdash}removing constraints on acquisition speed, alignment tolerances, and physical motion near the sample. The usefulness of this method is demonstrated by performing multi-plane calcium imaging in the fish brain with a\ 416{\texttimes}832{\texttimes}160 μm\ field of view at 33\ Hz. The optomotor response behavior of the zebrafish is monitored at high speeds, and time-locked correlations of neuronal activity are resolved across its brain.

}, doi = {10.1364/OL.41.000855}, author = {Quirin, Sean and Vladimirov, Nikita and Yang, Chao-Tsung and Peterka, Darcy S and Yuste, Rafael and Ahrens, Misha B} } @article {47991, title = {The serotonergic system tracks the outcomes of actions to mediate short-term motor learning.}, journal = {Cell}, volume = {167}, year = {2016}, month = {2016 Oct 27}, pages = {933-46}, abstract = {

To execute accurate movements, animals must continuously adapt their behavior to changes in their\ bodies and environments. Animals can learn changes in the relationship between their locomotor commands and the resulting distance moved, then adjust command strength to achieve a desired travel distance. It is largely unknown which circuits implement this form of motor learning, or how. Using whole-brain neuronal imaging and circuit manipulations in larval zebrafish, we discovered that the serotonergic dorsal raphe nucleus (DRN) mediates short-term locomotor learning. Serotonergic DRN neurons respond phasically to swim-induced visual motion, but little to motion that is not self-generated. During prolonged exposure to a given motosensory gain, persistent DRN activity emerges that stores the learned efficacy of motor commands and adapts future locomotor drive for tens of seconds. The DRN{\textquoteright}s ability to track the effectiveness of motor intent may constitute a computational building block\ for the broader functions of the serotonergic system.

}, doi = {10.1016/j.cell.2016.09.055}, author = {Kawashima, Takashi and Zwart, Maarten F and Yang, Chao-Tsung and Mensh, Brett D and Ahrens, Misha B} } @article {46368, title = {Labeling of active neural circuits in vivo with designed calcium integrators.}, journal = {Science}, volume = {347}, year = {2015}, month = {2015 Feb 13}, pages = {755-60}, abstract = {

The identification of active neurons and circuits in vivo is a fundamental challenge in understanding the neural basis of behavior. Genetically encoded calcium (Ca(2+)) indicators (GECIs) enable quantitative monitoring of cellular-resolution activity during behavior. However, such indicators require online monitoring within a limited field of view. Alternatively, post hoc staining of immediate early genes (IEGs) indicates highly active cells within the entire brain, albeit with poor temporal resolution. We designed a fluorescent sensor, CaMPARI, that combines the genetic targetability and quantitative link to neural activity of GECIs with the permanent, large-scale labeling of IEGs, allowing a temporally precise "activity snapshot" of a large tissue volume. CaMPARI undergoes efficient and irreversible green-to-red conversion only when elevated intracellular Ca(2+) and experimenter-controlled illumination coincide. We demonstrate the utility of CaMPARI in freely moving larvae of zebrafish and flies, and in head-fixed mice and adult flies.

}, issn = {1095-9203}, doi = {10.1126/science.1260922}, author = {Fosque, Benjamin F and Sun, Yi and Dana, Hod and Yang, Chao-Tsung and Ohyama, Tomoko and Tadross, Michael R and Patel, Ronak and Zlatic, Marta and Kim, Douglas S and Ahrens, Misha B and Jayaraman, Vivek and Looger, Loren L and Schreiter, Eric R} } @article {45177, title = {Light-sheet functional imaging in fictively behaving zebrafish.}, journal = {Nature Methods}, volume = {11}, year = {2014}, month = {2014 Jul 27}, pages = {883-4}, abstract = {

The processing of sensory input and the generation of behavior involves large networks of neurons, which necessitates new technology for recording from many neurons in behaving animals. In the larval zebrafish, light-sheet microscopy can be used to record the activity of almost all neurons in the brain simultaneously at single-cell resolution. Existing implementations, however, cannot be combined with visually driven behavior because the light sheet scans over the eye, interfering with presentation of controlled visual stimuli. Here we describe a system that overcomes the confounding eye stimulation through the use of two light sheets and combines whole-brain light-sheet imaging with virtual reality for fictively behaving larval zebrafish.

}, issn = {1548-7105}, doi = {10.1038/nmeth.3040}, author = {Vladimirov, Nikita and Mu, Yu and Kawashima, Takashi and Bennett, Davis V and Yang, Chao-Tsung and Looger, Loren L and Keller, Philipp J and Freeman, Jeremy and Ahrens, Misha B} } @article {45065, title = {Mapping brain activity at scale with cluster computing.}, journal = {Nature Methods}, volume = {11}, year = {2014}, month = {2014 Jul 27}, pages = {941-950}, abstract = {

Understanding brain function requires monitoring and interpreting the activity of large networks of neurons during behavior. Advances in recording technology are greatly increasing the size and complexity of neural data. Analyzing such data will pose a fundamental bottleneck for neuroscience. We present a library of analytical tools called Thunder built on the open-source Apache Spark platform for large-scale distributed computing. The library implements a variety of univariate and multivariate analyses with a modular, extendable structure well-suited to interactive exploration and analysis development. We demonstrate how these analyses find structure in large-scale neural data, including whole-brain light-sheet imaging data from fictively behaving larval zebrafish, and two-photon imaging data from behaving mouse. The analyses relate neuronal responses to sensory input and behavior, run in minutes or less and can be used on a private cluster or in the cloud. Our open-source framework thus holds promise for turning brain activity mapping efforts into biological insights.

}, issn = {1548-7091}, doi = {10.1038/nmeth.3041}, author = {Freeman, Jeremy and Vladimirov, Nikita and Kawashima, Takashi and Mu, Yu and Sofroniew, Nicholas J. and Bennett, Davis V. and Rosen, Joshua and Yang, Chao-Tsung and Looger, Loren L. and Ahrens, Misha B.} }