@article {64874, title = {Mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brain.}, journal = {Elife}, volume = {8}, year = {2019}, month = {2019 Apr 12}, abstract = {

Understanding the principles governing neuronal diversity is a fundamental goal for neuroscience. Here we provide an anatomical and transcriptomic database of nearly 200 genetically identified cell populations. By separately analyzing the robustness and pattern of expression differences across these cell populations, we identify two gene classes contributing distinctly to neuronal diversity. Short homeobox transcription factors distinguish neuronal populations combinatorially, and exhibit extremely low transcriptional noise, enabling highly robust expression differences. Long neuronal effector genes, such as channels and cell adhesion molecules, contribute disproportionately to neuronal diversity, based on their patterns rather than robustness of expression differences. By linking transcriptional identity to genetic strains and anatomical atlases we provide an extensive resource for further investigation of mouse neuronal cell types.

}, issn = {2050-084X}, doi = {10.7554/eLife.38619}, author = {Sugino, Ken and Clark, Erin and Schulmann, Anton and Shima, Yasuyuki and Wang, Lihua and Hunt, David L and Hooks, Bryan M and Traenkner, Dimitri and Chandrashekar, Jayaram and Picard, Serge and Lemire, Andrew L and Spruston, Nelson and Hantman, Adam W and Nelson, Sacha B} } @article {49061, title = {Cell type-specific variation of somatotopic precision across corticostriatal projections. }, journal = {bioRxiv}, year = {2018}, month = {2018 Feb 7}, abstract = {

The striatum shows general topographic organization and regional differences in behavioral functions. How corticostriatal topography differs across cortical areas and cell types to support these distinct functions is unclear. This study contrasted corticostriatal projections from two layer 5 cell types, intratelencephalic (IT-type) and pyramidal tract (PT-type) neurons, using viral vectors expressing fluorescent reporters in Cre-driver mice. Long-range corticostriatal projections from sensory and motor cortex are somatotopic, with a decreasing somatotopic specificity as injections move from sensory to motor and frontal areas. Somatotopic organization differs between IT-type and PT-type neurons, including injections in the same site, with IT-type neurons having higher somatotopic stereotypy than PT-type neurons. Furthermore, IT-type projections from interconnected cortical areas have stronger correlations in corticostriatal targeting than PT-type projections do. Thus, as predicted by a long-standing basal ganglia model, corticostriatal projections of interconnected cortical areas form parallel circuits in basal ganglia-thalamus-cortex loops.

}, doi = {10.1101/261446}, author = {Hooks, Bryan M and Papale, Andrew E and Paletzki, Ronald and Feroze, Muhammad and Eastwood, Brian S and Couey, Jonathan J and Winnubst, Johan and Chandrashekar, Jayaram and Gerfen, Charles R} } @article {49413, title = {Topographic precision in sensory and motor corticostriatal projections varies across cell type and cortical area.}, journal = {Nature Communications}, volume = {9}, year = {2018}, month = {2018 Sep 03}, pages = {3549}, abstract = {

The striatum shows general topographic organization and regional differences in behavioral functions. How corticostriatal topography differs across cortical areas and cell types to support these distinct functions is unclear. This study contrasted corticostriatal projections from two layer 5 cell types, intratelencephalic (IT-type) and pyramidal tract (PT-type) neurons, using viral vectors expressing fluorescent reporters in Cre-driver mice. Corticostriatal projections from sensory and motor cortex are somatotopic, with a decreasing topographic specificity as injection sites move from sensory to motor and frontal areas. Topographic organization differs between IT-type and PT-type neurons, including injections in the same site, with IT-type neurons having higher topographic stereotypy than PT-type neurons. Furthermore, IT-type projections from interconnected cortical areas have stronger correlations in corticostriatal targeting than PT-type projections do. As predicted by a longstanding model, corticostriatal projections of interconnected cortical areas form parallel circuits in the basal ganglia.

}, issn = {2041-1723}, doi = {10.1038/s41467-018-05780-7}, author = {Hooks, Bryan M and Papale, Andrew E and Paletzki, Ronald F and Feroze, Muhammad W and Eastwood, Brian S and Couey, Jonathan J and Winnubst, Johan and Chandrashekar, Jayaram and Gerfen, Charles R} } @article {46524, title = {Dual-channel circuit mapping reveals sensorimotor convergence in the primary motor cortex.}, journal = {The Journal of Neuroscience}, volume = {35}, year = {2015}, month = {2015 Mar 11}, pages = {4418-26}, abstract = {

Cortical cells integrate synaptic input from multiple sources, but how these different inputs are distributed across individual neurons is largely unknown. Differences in input might account for diverse responses in neighboring neurons during behavior. We present a strategy for comparing the strengths of multiple types of input onto the same neuron. We developed methods for independent dual-channel photostimulation of synaptic inputs using ChR2 together with ReaChR, a red-shifted channelrhodopsin. We used dual-channel photostimulation to probe convergence of sensory information in the mouse primary motor cortex. Input from somatosensory cortex and thalamus converges in individual neurons. Similarly, inputs from distinct somatotopic regions of the somatosensory cortex are integrated at the level of single motor cortex neurons. We next developed a ReaChR transgenic mouse under the control of both Flp- and Cre-recombinases that is an effective tool for circuit mapping. Our approach to dual-channel photostimulation enables quantitative comparison of the strengths of multiple pathways across all length scales of the brain.

}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.3741-14.2015}, author = {Hooks, Bryan M and Lin, John Y and Guo, Caiying and Svoboda, Karel} } @article {45591, title = {Thorough GABAergic innervation of the entire axon initial segment revealed by an optogenetic {\textquoteright}laserspritzer{\textquoteright}.}, journal = {Journal of Physiology - London}, volume = {592}, year = {2014}, month = {2014 Oct 1}, pages = {4257-76}, abstract = {

GABAergic terminals of chandelier cells exclusively innervate the axon initial segment (AIS) of excitatory neurons. Although the anatomy of these synapses has been well-studied in several brain areas, relatively little is known about their physiological properties. Using vesicular γ-aminobutyric acid transporter-channelrhodopsin\ 2-enhanced yellow fluorescence protein (VGAT-ChR2-YFP)-expressing mice and a novel fibreoptic {\textquoteright}laserspritzer{\textquoteright} approach that we developed, we investigated the physiological properties of axo-axonic synapses (AASs) in brain slices from the piriform cortex (PC) of mice. AASs were in close proximity to voltage-gated Na(+) (NaV) channels located at the AIS. AASs were selectively activated by a 5\ μm laserspritzer placed in close proximity to the AIS. Under a minimal laser stimulation condition and using whole-cell somatic voltage-clamp recordings, the amplitudes and kinetics of IPSCs mediated by AASs were similar to those mediated by perisomatic inhibitions. Results were further validated with channelrhodopsin\ 2-assisted circuit mapping (CRACM) of the entire inhibitory inputs map. For the first time, we revealed that the laserspritzer-induced AAS-IPSCs persisted in the presence of TTX and TEA but not 4-AP. Next, using gramicidin-based perforated patch recordings, we found that the GABA reversal potential (EGABA) was -73.6\ {\textpm}\ 1.2\ mV when induced at the AIS and -72.8\ {\textpm}\ 1.1\ mV when induced at the perisomatic site. Our anatomical and physiological results lead to the novel conclusions that: (1) AASs innervate the entire length of the AIS, as opposed to forming a highly concentrated cartridge, (2) AAS inhibition suppresses action potentials and epileptiform activity more robustly than perisomatic inhibitions, and (3) AAS activation alone can be sufficient to inhibit action potential generation and epileptiform activities in vitro.

}, issn = {1469-7793}, doi = {10.1113/jphysiol.2014.275719}, author = {Wang, Xinjun and Hooks, Bryan M and Sun, Qian-Quan} } @article {6588, title = {Distinct balance of excitation and inhibition in an interareal feedforward and feedback circuit of mouse visual cortex.}, journal = {The Journal of Neuroscience}, volume = {33}, year = {2013}, month = {2013 Oct 30}, pages = {17373-84}, abstract = {

Mouse visual cortex is subdivided into multiple distinct, hierarchically organized areas that are interconnected through feedforward (FF) and feedback (FB) pathways. The principal synaptic targets of FF and FB axons that reciprocally interconnect primary visual cortex (V1) with the higher lateromedial extrastriate area (LM) are pyramidal cells (Pyr) and parvalbumin (PV)-expressing GABAergic interneurons. Recordings in slices of mouse visual cortex have shown that layer 2/3 Pyr cells receive excitatory monosynaptic FF and FB inputs, which are opposed by disynaptic inhibition. Most notably, inhibition is stronger in the FF than FB pathway, suggesting pathway-specific organization of feedforward inhibition (FFI). To explore the hypothesis that this difference is due to diverse pathway-specific strengths of the inputs to PV neurons we have performed subcellular Channelrhodopsin-2-assisted circuit mapping in slices of mouse visual cortex. Whole-cell patch-clamp recordings were obtained from retrobead-labeled FFV1{\textrightarrow}LM- and FBLM{\textrightarrow}V1-projecting Pyr cells, as well as from tdTomato-expressing PV neurons. The results show that the FFV1{\textrightarrow}LM pathway provides on average 3.7-fold stronger depolarizing input to layer 2/3 inhibitory PV neurons than to neighboring excitatory Pyr cells. In the FBLM{\textrightarrow}V1 pathway, depolarizing inputs to layer 2/3 PV neurons and Pyr cells were balanced. Balanced inputs were also found in the FFV1{\textrightarrow}LM pathway to layer 5 PV neurons and Pyr cells, whereas FBLM{\textrightarrow}V1 inputs to layer 5 were biased toward Pyr cells. The findings indicate that FFI in FFV1{\textrightarrow}LM and FBLM{\textrightarrow}V1 circuits are organized in a pathway- and lamina-specific fashion.

}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.2515-13.2013}, author = {Yang, Weiguo and Carrasquillo, Yarimar and Hooks, Bryan M and Nerbonne, Jeanne M and Burkhalter, Andreas} } @article {6295, title = {Organization of cortical and thalamic input to pyramidal neurons in mouse motor cortex.}, journal = {The Journal of Neuroscience}, volume = {33}, year = {2013}, month = {2013 Jan 9}, pages = {748-60}, abstract = {

Determining how long-range synaptic inputs engage pyramidal neurons in primary motor cortex (M1) is important for understanding circuit mechanisms involved in regulating movement. We used channelrhodopsin-2-assisted circuit mapping to characterize the long-range excitatory synaptic connections made by multiple cortical and thalamic areas onto pyramidal neurons in mouse vibrissal motor cortex (vM1). Each projection innervated vM1 pyramidal neurons with a unique laminar profile. Collectively, the profiles for different sources of input partially overlapped and spanned all cortical layers. Specifically, orbital cortex (OC) inputs primarily targeted neurons in L6. Secondary motor cortex (M2) inputs excited neurons mainly in L5B, including pyramidal tract neurons. In contrast, thalamocortical inputs from anterior motor-related thalamic regions, including VA/VL (ventral anterior thalamic nucleus/ventrolateral thalamic nucleus), targeted neurons in L2/3 through L5B, but avoided L6. Inputs from posterior sensory-related thalamic areas, including POm (posterior thalamic nuclear group), targeted neurons only in the upper layers (L2/3 and L5A), similar to inputs from somatosensory (barrel) cortex. Our results show that long-range excitatory inputs target vM1 pyramidal neurons in a layer-specific manner. Inputs from sensory-related cortical and thalamic areas preferentially target the upper-layer pyramidal neurons in vM1. In contrast, inputs from OC and M2, areas associated with volitional and cognitive aspects of movements, bypass local circuitry and have direct monosynaptic access to neurons projecting to brainstem and thalamus.

}, keywords = {Animals, Cerebral Cortex, Data Interpretation, Efferent Pathways, Electric Stimulation, Electrophysiological Phenomena, Female, Inbred C57BL, Male, Mice, Motor Cortex, Neurons, Patch-Clamp Techniques, Pons, Pyramidal Tracts, Statistical, Thalamus}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.4338-12.2013}, author = {Hooks, Bryan M and Mao, Tianyi and Gutnisky, Diego A and Yamawaki, Naoki and Svoboda, Karel and Shepherd, Gordon M G} } @article {6301, title = {A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing.}, journal = {Nature Neuroscience}, volume = {15}, year = {2012}, month = {2012 May}, pages = {793-802}, abstract = {

Cell type-specific expression of optogenetic molecules allows temporally precise manipulation of targeted neuronal activity. Here we present a toolbox of four knock-in mouse lines engineered for strong, Cre-dependent expression of channelrhodopsins ChR2-tdTomato and ChR2-EYFP, halorhodopsin eNpHR3.0 and archaerhodopsin Arch-ER2. All four transgenes mediated Cre-dependent, robust activation or silencing of cortical pyramidal neurons in vitro and in vivo upon light stimulation, with ChR2-EYFP and Arch-ER2 demonstrating light sensitivity approaching that of in utero or virally transduced neurons. We further show specific photoactivation of parvalbumin-positive interneurons in behaving ChR2-EYFP reporter mice. The robust, consistent and inducible nature of our ChR2 mice represents a significant advance over previous lines, and the Arch-ER2 and eNpHR3.0 mice are to our knowledge the first demonstration of successful conditional transgenic optogenetic silencing. When combined with the hundreds of available Cre driver lines, this optimized toolbox of reporter mice will enable widespread investigations of neural circuit function with unprecedented reliability and accuracy.

}, keywords = {Action Potentials, Animals, Archaeal Proteins, Brain, Electroporation, Halorhodopsins, Integrases, Light, Luminescent Proteins, Mice, Neurogenesis, Neurons, Optics and Photonics, Proteins, Rhodopsin, Transgenic, Wakefulness}, issn = {1546-1726}, doi = {10.1038/nn.3078}, author = {Madisen, Linda and Mao, Tianyi and Koch, Henner and Zhuo, Jia-min and Berenyi, Antal and Fujisawa, Shigeyoshi and Hsu, Yun-Wei A and Garcia, Alfredo J and Gu, Xuan and Zanella, Sebastien and Kidney, Jolene and Gu, Hong and Mao, Yimei and Hooks, Bryan M and Boyden, Edward S and Buzs{\'a}ki, Gy{\"o}rgy and Ramirez, Jan Marino and Jones, Allan R and Svoboda, Karel and Han, Xue and Turner, Eric E and Zeng, Hongkui} } @article {5283, title = {Long-range neuronal circuits underlying the interaction between sensory and motor cortex.}, journal = {Neuron}, volume = {72}, year = {2011}, month = {2011 Oct 6}, pages = {111-23}, abstract = {

In the rodent vibrissal system, active sensation and sensorimotor integration are mediated in part by connections between barrel cortex and vibrissal motor cortex. Little is known about how these structures interact at the level of neurons. We used Channelrhodopsin-2 (ChR2) expression, combined with anterograde and retrograde labeling, to map connections between barrel cortex and pyramidal neurons in mouse motor cortex. Barrel cortex axons preferentially targeted upper layer (L2/3, L5A) neurons in motor cortex; input to neurons projecting back to barrel cortex was particularly strong. Barrel cortex input to deeper layers (L5B, L6) of motor cortex, including neurons projecting to the brainstem, was weak, despite pronounced geometric overlap of dendrites with axons from barrel cortex. Neurons in different layers received barrel cortex input within stereotyped dendritic domains. The cortico-cortical neurons in superficial layers of motor cortex thus couple motor and sensory signals and might mediate sensorimotor integration and motor learning.

}, keywords = {Animals, Inbred C57BL, Membrane Potentials, Mice, Molecular Imaging, Motor Cortex, Neural Pathways, Neuroanatomical Tract-Tracing Techniques, Neurons, Somatosensory Cortex, Vibrissae}, issn = {1097-4199}, doi = {10.1016/j.neuron.2011.07.029}, author = {Mao, Tianyi and Kusefoglu, Deniz and Hooks, Bryan M and Huber, Daniel and Petreanu, Leopoldo and Svoboda, Karel} } @article {65007, title = {Ephus: multipurpose data acquisition software for neuroscience experiments.}, journal = {Front Neural Circuits}, volume = {4}, year = {2010}, month = {2010}, pages = {100}, abstract = {

Physiological measurements in neuroscience experiments often involve complex stimulus paradigms and multiple data channels. Ephus (http://www.ephus.org) is an open-source software package designed for general-purpose data acquisition and instrument control. Ephus operates as a collection of modular programs, including an ephys program for standard whole-cell recording with single or multiple electrodes in typical electrophysiological experiments, and a mapper program for synaptic circuit mapping experiments involving laser scanning photostimulation based on glutamate uncaging or channelrhodopsin-2 excitation. Custom user functions allow user-extensibility at multiple levels, including on-line analysis and closed-loop experiments, where experimental parameters can be changed based on recently acquired data, such as during in vivo behavioral experiments. Ephus is compatible with a variety of data acquisition and imaging hardware. This paper describes the main features and modules of Ephus and their use in representative experimental applications.

}, issn = {1662-5110}, doi = {10.3389/fncir.2010.00100}, author = {Suter, Benjamin A and O{\textquoteright}Connor, Timothy and Iyer, Vijay and Petreanu, Leopoldo T and Hooks, Bryan M and Kiritani, Taro and Svoboda, Karel and Shepherd, Gordon M G} } @article {4288, title = {Learning-related fine-scale specificity imaged in motor cortex circuits of behaving mice.}, journal = {Nature}, volume = {464}, year = {2010}, month = {2010 Apr 22}, pages = {1182-6}, abstract = {

Cortical neurons form specific circuits, but the functional structure of this microarchitecture and its relation to behaviour are poorly understood. Two-photon calcium imaging can monitor activity of spatially defined neuronal ensembles in the mammalian cortex. Here we applied this technique to the motor cortex of mice performing a choice behaviour. Head-fixed mice were trained to lick in response to one of two odours, and to withhold licking for the other odour. Mice routinely showed significant learning within the first behavioural session and across sessions. Microstimulation and trans-synaptic tracing identified two non-overlapping candidate tongue motor cortical areas. Inactivating either area impaired voluntary licking. Imaging in layer 2/3 showed neurons with diverse response types in both areas. Activity in approximately half of the imaged neurons distinguished trial types associated with different actions. Many neurons showed modulation coinciding with or preceding the action, consistent with their involvement in motor control. Neurons with different response types were spatially intermingled. Nearby neurons (within approximately 150 mum) showed pronounced coincident activity. These temporal correlations increased with learning within and across behavioural sessions, specifically for neuron pairs with similar response types. We propose that correlated activity in specific ensembles of functionally related neurons is a signature of learning-related circuit plasticity. Our findings reveal a fine-scale and dynamic organization of the frontal cortex that probably underlies flexible behaviour.

}, keywords = {Animal, Animals, Axonal Transport, Behavior, Chemical, Choice Behavior, Inbred C57BL, Learning, Male, Mice, Motor Cortex, Motor Neurons, Neural Pathways, Odors, Pyramidal Cells, Reward, Stimulation, Time Factors, Tongue}, issn = {1476-4687}, doi = {10.1038/nature08897}, author = {Komiyama, Takaki and Sato, Takashi R and O{\textquoteright}Connor, Daniel H and Zhang, Ying-Xin and Huber, Daniel and Hooks, Bryan M and Gabitto, Mariano and Svoboda, Karel} }