@article {69614, title = {Voltage imaging reveals circuit computations in the raphe underlying serotonin-mediated motor vigor learning}, journal = {bioRxiv}, year = {2024}, month = {2024 Sep 16}, abstract = {

As animals adapt to new situations, neuromodulation is a potent way to alter behavior, yet mechanisms by which neuromodulatory nuclei compute during behavior are underexplored. The serotonergic raphe supports motor learning in larval zebrafish by visually detecting distance traveled during swims, encoding action effectiveness, and modulating motor vigor. We found that swimming opens a gate for visual input to cause spiking in serotonergic neurons, enabling encoding of action outcomes and filtering out learning-irrelevant visual signals. Using light-sheet microscopy, voltage sensors, and neurotransmitter/modulator sensors, we tracked millisecond-timescale neuronal input-output computations during behavior. Swim commands initially inhibited serotonergic neurons via GABA, closing the gate to spiking. Immediately after, the gate briefly opened: voltage increased consistent with post-inhibitory rebound, allowing swim-induced visual motion to evoke firing through glutamate, triggering serotonin secretion and modulating motor vigor. Ablating GABAergic neurons impaired raphe coding and motor learning. Thus, serotonergic neuromodulation arises from action-outcome coincidence detection within the raphe, suggesting the existence of similarly fast and precise circuit computations across neuromodulatory nuclei.

}, doi = {10.1101/2024.09.15.613083}, url = {https://doi.org/10.1101/2024.09.15.613083}, author = {Kawashima, Takashi and Wei, Ziqiang and Haruvi, Ravid and Shainer, Inbal and Narayan, Sujatha and Baier, Herwig 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 {65081, title = {Bright and photostable chemigenetic indicators for extended in vivo voltage imaging.}, journal = {Science}, volume = {365}, year = {2019}, month = {2019 Aug 13}, pages = {699-704}, abstract = {

Imaging changes in membrane potential using genetically encoded fluorescent voltage indicators (GEVIs) has great potential for monitoring neuronal activity with high spatial and temporal resolution. Brightness and photostability of fluorescent proteins and rhodopsins have limited the utility of existing GEVIs. We engineered a novel GEVI, "Voltron", that utilizes bright and photostable synthetic dyes instead of protein-based fluorophores, extending the combined duration of imaging and number of neurons imaged simultaneously by more than tenfold relative to existing GEVIs. We used Voltron for in vivo voltage imaging in mice, zebrafish, and fruit flies. In mouse cortex, Voltron allowed single-trial recording of spikes and subthreshold voltage signals from dozens of neurons simultaneously, over 15 min of continuous imaging. In larval zebrafish, Voltron enabled the precise correlation of spike timing with behavior.

}, issn = {1095-9203}, doi = {10.1126/science.aav6416}, author = {Abdelfattah, Ahmed S and Kawashima, Takashi and Singh, Amrita and Novak, Ondrej and Liu, Hui and Shuai, Yichun and Huang, Yi-Chieh and Campagnola, Luke and Seeman, Stephanie C and Yu, Jianing and Zheng, Jihong and Grimm, Jonathan B and Patel, Ronak and Friedrich, Johannes and Mensh, Brett D and Paninski, Liam and Macklin, John J and Murphy, Gabe J and Podgorski, Kaspar and Lin, Bei-Jung and Chen, Tsai-Wen and Turner, Glenn C and Liu, Zhe and Koyama, Minoru and Svoboda, Karel and Ahrens, Misha B and Lavis, Luke D and Schreiter, Eric R} } @article {65056, title = {A genetically encoded fluorescent sensor for in vivo imaging of GABA.}, journal = {Nature Methods}, volume = {16}, year = {2019}, month = {2019 Jul 15}, pages = {763-770}, abstract = {

Current techniques for monitoring GABA (γ-aminobutyric acid), the primary inhibitory neurotransmitter in vertebrates, cannot follow transients in intact neural circuits. To develop a GABA sensor, we applied the design principles used to create the fluorescent glutamate receptor iGluSnFR. We used a protein derived from a previously unsequenced Pseudomonas fluorescens strain and performed structure-guided mutagenesis and library screening to obtain intensity-based GABA sensing fluorescence reporter (iGABASnFR) variants. iGABASnFR is genetically encoded, detects GABA release evoked by electric stimulation of afferent fibers in acute brain slices and produces readily detectable fluorescence increases in vivo in mice and zebrafish. We applied iGABASnFR to track mitochondrial GABA content and its modulation by an anticonvulsant, swimming-evoked, GABA-mediated transmission in zebrafish cerebellum, GABA release events during interictal spikes and seizures in awake mice, and found that GABA-mediated tone decreases during isoflurane anesthesia.

}, issn = {1548-7105}, doi = {10.1038/s41592-019-0471-2}, author = {Marvin, Jonathan S and Shimoda, Yoshiteru and Magloire, Vincent and Leite, Marco and Kawashima, Takashi and Jensen, Thomas P and Kolb, Ilya and Knott, Erika L and Novak, Ondrej and Podgorski, Kaspar and Leidenheimer, Nancy J and Rusakov, Dmitri A and Ahrens, Misha B and Kullmann, Dimitri M and Looger, Loren L} } @article {49473, title = {Long-Term Consolidation of Ensemble Neural Plasticity Patterns in Hippocampal Area CA1.}, journal = {Cell reports}, volume = {25}, year = {2018}, month = {2018 Oct 16}, pages = {640-650.e2}, abstract = {

Neural network remodeling underpins the ability to remember life experiences, but little is known about the long-term plasticity of neural populations. To study how the brain encodes episodic events, we used time-lapse two-photon microscopy and a fluorescent reporter of neural plasticity based on an enhanced form of the synaptic activity-responsive element (E-SARE) within the Arc promoter to track thousands of CA1 hippocampal pyramidal cells over weeks in mice that repeatedly encountered different environments. Each environment evokes characteristic patterns of ensemble neural plasticity, but with each encounter, the set of activated cells gradually evolves. After repeated exposures, the plasticity patterns evoked by an individual environment progressively stabilize. Compared with young adults, plasticity patterns in aged mice are less specific to individual environments and less stable across repeat experiences. Long-term consolidation of hippocampal plasticity patterns may support long-term memory formation, whereas weaker consolidation in aged subjects might reflect declining memory function.

}, issn = {2211-1247}, doi = {10.1016/j.celrep.2018.09.064}, author = {Attardo, Alessio and Lu, Ju and Kawashima, Takashi and Okuno, Hiroyuki and Fitzgerald, James E and Bito, Haruhiko and Schnitzer, Mark J} } @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 Rhoades, Jeffrey L 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 {48702, title = {The role of the serotonergic system in motor control.}, journal = {Neuroscience Research}, volume = {129}, year = {2018}, month = {2018 Apr}, pages = {32-9}, abstract = {

The serotonergic system in the vertebrate brain is implicated in various behaviors and diseases. Its involvement in motor control has been studied for over half a century, but efforts to build a unified model of its functions have been hampered due to the complexity of serotonergic neuromodulation. This review summarizes the anatomical structure of the serotonergic system, its afferent and efferent connections to other brain regions, and recent insights into the sensorimotor computations in the serotonergic system, and considers future research directions into the roles of serotonergic system in motor control.

}, doi = {10.1016/j.neures.2017.07.005}, author = {Kawashima, Takashi} } @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 {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.} } @article {6133, title = {Functional labeling of neurons and their projections using the synthetic activity-dependent promoter E-SARE.}, journal = {Nature Methods}, volume = {10}, year = {2013}, month = {2013 Jul 14}, pages = {889-95}, abstract = {

Identifying the neuronal ensembles that respond to specific stimuli and mapping their projection patterns in living animals are fundamental challenges in neuroscience. To this end, we engineered a synthetic promoter, the enhanced synaptic activity-responsive element (E-SARE), that drives neuronal activity-dependent gene expression more potently than other existing immediate-early gene promoters. Expression of a drug-inducible Cre recombinase downstream of E-SARE enabled imaging of neuronal populations that respond to monocular visual stimulation and tracking of their long-distance thalamocortical projections in living mice. Targeted cell-attached recordings and calcium imaging of neurons in sensory cortices revealed that E-SARE reporter expression correlates with sensory-evoked neuronal activity at the single-cell level and is highly specific to the type of stimuli presented to the animals. This activity-dependent promoter can expand the repertoire of genetic approaches for high-resolution anatomical and functional analysis of neural circuits.

}, issn = {1548-7105}, doi = {10.1038/nmeth.2559}, author = {Kawashima, Takashi and Kitamura, Kazuo and Suzuki, Kanzo and Nonaka, Mio and Kamijo, Satoshi and Takemoto-Kimura, Sayaka and Kano, Masanobu and Okuno, Hiroyuki and Ohki, Kenichi and Bito, Haruhiko} } @article {6132, title = {Synaptic activity-responsive element in the Arc/Arg3.1 promoter essential for synapse-to-nucleus signaling in activated neurons.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {106}, year = {2009}, month = {2009 Jan 6}, pages = {316-21}, abstract = {

The neuronal immediate early gene Arc/Arg-3.1 is widely used as one of the most reliable molecular markers for intense synaptic activity in vivo. However, the cis-acting elements responsible for such stringent activity dependence have not been firmly identified. Here we combined luciferase reporter assays in cultured cortical neurons and comparative genome mapping to identify the critical synaptic activity-responsive elements (SARE) of the Arc/Arg-3.1 gene. A major SARE was found as a unique approximately 100-bp element located at \>5 kb upstream of the Arc/Arg-3.1 transcription initiation site in the mouse genome. This single element, when positioned immediately upstream of a minimal promoter, was necessary and sufficient to replicate crucial properties of endogenous Arc/Arg-3.1{\textquoteright}s transcriptional regulation, including rapid onset of transcription triggered by synaptic activity and low basal expression during synaptic inactivity. We identified the major determinants of SARE as a unique cluster of neuronal activity-dependent cis-regulatory elements consisting of closely localized binding sites for CREB, MEF2, and SRF. Consistently, a SARE reporter could readily trace and mark an ensemble of cells that have experienced intense activity in the recent past in vivo. Taken together, our work uncovers a novel transcriptional mechanism by which a critical 100-bp element, SARE, mediates a predominant component of the synapse-to-nucleus signaling in ensembles of Arc/Arg-3.1-positive activated neurons.

}, keywords = {Animals, Binding Sites, Cell Nucleus, Cyclic AMP Response Element-Binding Protein, Cytoskeletal Proteins, Gene Expression Regulation, Genetic, Genomics, Mice, Myogenic Regulatory Factors, Nerve Tissue Proteins, Neurons, Nucleic Acid, Promoter Regions, Regulatory Sequences, Serum Response Factor, Signal Transduction, Synapses}, issn = {1091-6490}, doi = {10.1073/pnas.0806518106}, author = {Kawashima, Takashi and Okuno, Hiroyuki and Nonaka, Mio and Adachi-Morishima, Aki and Kyo, Nan and Okamura, Michiko and Takemoto-Kimura, Sayaka and Worley, Paul F and Bito, Haruhiko} }