@article {49383, title = {Anterolateral motor cortex connects with a medial subdivision of ventromedial thalamus through cell-type-specific circuits, forming an excitatory thalamo-cortico-thalamic loop via layer 1 apical tuft dendrites of layer 5B pyramidal tract type neurons.}, journal = {The Journal of Neuroscience : the official journal of the Society for Neuroscience}, volume = {38}, year = {2018}, month = {2018 Aug 24}, pages = {8787-97}, abstract = {

The anterolateral motor cortex (ALM) and ventromedial (VM) thalamus are functionally linked to support persistent activity during motor planning. We analyzed the underlying synaptic interconnections using optogenetics and electrophysiology in mice (♀/♂). In cortex, thalamocortical (TC) axons from VM excited VM-projecting pyramidal-tract (PT) neurons in layer 5B of ALM. These axons also strongly excited layer 2/3 neurons (which strongly excite PT neurons, as previously shown) but not VM-projecting corticothalamic (CT) neurons in layer 6. The strongest connections in the VM{\textrightarrow}PT circuit were localized to apical-tuft dendrites of PT neurons, in layer 1. These tuft inputs were selectively augmented after blocking hyperpolarization-activated cyclic nucleotide-gated (HCN) channels. In thalamus, axons from ALM PT neurons excited ALM-projecting VM neurons, located medially in VM. These axons provided weak input to neurons in mediodorsal nucleus, and little or no input either to neurons in the GABAergic reticular thalamic nucleus or to neurons in VM projecting to primary motor cortex (M1). Conversely, M1 PT axons excited M1- but not ALM-projecting VM neurons. Our findings indicate, first, a set of cell-type-specific connections forming an excitatory thalamo-cortico-thalamic (T-C-T) loop for ALM<->VM communication and a circuit-level substrate for supporting reverberant activity in this system. Second, a key feature of this loop is the prominent involvement of layer 1 synapses onto apical dendrites, a subcellular compartment with distinct signaling properties, including HCN-mediated gain control. Third, the segregation of the ALM<->VM loop from M1-related circuits of VM adds cellular-level support for the concept of parallel pathway organization in the motor system.Anterolateral motor cortex (ALM), a higher-order motor area in the mouse, and ventromedial thalamus (VM) are anatomically and functionally linked, but their synaptic interconnections at the cellular level are unknown. Our results show that ALM pyramidal tract neurons monosynaptically excite ALM-projecting thalamocortical neurons in a medial subdivision of VM, and vice versa. The thalamo-cortico-thalamic loop formed by these recurrent connections constitutes a circuit-level substrate for supporting reverberant activity in this system.

}, issn = {1529-2401}, doi = {10.1523/JNEUROSCI.1333-18.2018}, author = {Guo, KuangHua and Yamawaki, Naoki and Svoboda, Karel and Shepherd, Gordon M G} } @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 {4303, title = {Laminar analysis of excitatory local circuits in vibrissal motor and sensory cortical areas.}, journal = {PLoS Biology}, volume = {9}, year = {2011}, month = {2011 Jan 4}, pages = {e1000572}, abstract = {

Rodents move their whiskers to locate and identify objects. Cortical areas involved in vibrissal somatosensation and sensorimotor integration include the vibrissal area of the primary motor cortex (vM1), primary somatosensory cortex (vS1; barrel cortex), and secondary somatosensory cortex (S2). We mapped local excitatory pathways in each area across all cortical layers using glutamate uncaging and laser scanning photostimulation. We analyzed these maps to derive laminar connectivity matrices describing the average strengths of pathways between individual neurons in different layers and between entire cortical layers. In vM1, the strongest projection was L2/3{\textrightarrow}L5. In vS1, strong projections were L2/3{\textrightarrow}L5 and L4{\textrightarrow}L3. L6 input and output were weak in both areas. In S2, L2/3{\textrightarrow}L5 exceeded the strength of the ascending L4{\textrightarrow}L3 projection, and local input to L6 was prominent. The most conserved pathways were L2/3{\textrightarrow}L5, and the most variable were L4{\textrightarrow}L2/3 and pathways involving L6. Local excitatory circuits in different cortical areas are organized around a prominent descending pathway from L2/3{\textrightarrow}L5, suggesting that sensory cortices are elaborations on a basic motor cortex-like plan.

}, keywords = {Animals, Brain Mapping, Mice, Motor Cortex, Nerve Net, Presynaptic Terminals, Somatosensory Cortex, Vibrissae}, issn = {1545-7885}, doi = {10.1371/journal.pbio.1000572}, author = {Hooks, B M and Hires, S Andrew and Zhang, Ying-Xin and Huber, Daniel and Petreanu, Leopoldo and Svoboda, Karel and Shepherd, Gordon M G} } @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 {1250, title = {Geometric and functional organization of cortical circuits.}, journal = {Nature Neuroscience}, volume = {8}, year = {2005}, month = {2005 Jun}, pages = {782-90}, abstract = {

Can neuronal morphology predict functional synaptic circuits? In the rat barrel cortex, {\textquoteright}barrels{\textquoteright} and {\textquoteright}septa{\textquoteright} delineate an orderly matrix of cortical columns. Using quantitative laser scanning photostimulation we measured the strength of excitatory projections from layer 4 (L4) and L5A to L2/3 pyramidal cells in barrel- and septum-related columns. From morphological reconstructions of excitatory neurons we computed the geometric circuit predicted by axodendritic overlap. Within most individual projections, functional inputs were predicted by geometry and a single scale factor, the synaptic strength per potential synapse. This factor, however, varied between projections and, in one case, even within a projection, up to 20-fold. Relationships between geometric overlap and synaptic strength thus depend on the laminar and columnar locations of both the pre- and postsynaptic neurons, even for neurons of the same type. A large plasticity potential appears to be incorporated into these circuits, allowing for functional {\textquoteright}tuning{\textquoteright} with fixed axonal and dendritic arbor geometry.

}, keywords = {Animals, Axons, Brain Mapping, Cell Shape, Dendrites, Electric Stimulation, Excitatory Postsynaptic Potentials, Image Cytometry, Lasers, Lysine, Neural Pathways, Neuronal Plasticity, Organ Culture Techniques, Photic Stimulation, Pyramidal Cells, Rats, Somatosensory Cortex, Sprague-Dawley, Synapses, Synaptic Transmission, Ultraviolet Rays}, issn = {1097-6256}, doi = {10.1016/j.tins.2005.05.006}, author = {Shepherd, Gordon M G and Stepanyants, Armen and Bureau, Ingrid and Chklovskii, Dmitri and Svoboda, Karel} } @article {2187, title = {Topographic mapping of VMH {\textendash}> arcuate nucleus microcircuits and their reorganization by fasting.}, journal = {Nature Neuroscience}, volume = {8}, year = {2005}, month = {2005 Oct}, pages = {1356-63}, abstract = {

In the hypothalamic arcuate nucleus (ARC), pro-opiomelanocortin (POMC) neurons inhibit feeding and neuropeptide-Y (NPY) neurons stimulate feeding. We tested whether neurons in the ventromedial hypothalamic nucleus (VMH), a known satiety center, activate anorexigenic neuronal pathways in the ARC by projecting either excitatory synaptic inputs to POMC neurons and/or inhibitory inputs to NPY neurons. Using laser scanning photostimulation in brain slices from transgenic mice, we found that POMC and NPY neurons, which are interspersed in the ARC, are nevertheless regulated by anatomically distinct synaptic inputs. POMC neurons received strong excitatory input from the medial VMH (mVMH), whereas NPY neurons did not and, instead, received weak inhibitory input only from within the ARC. The strength of the excitatory input from the mVMH to POMC neurons was diminished by fasting. These data identify a new molecularly defined circuit that is dynamically regulated by nutritional state in a manner consistent with the known role of the VMH as a satiety center.

}, keywords = {Action Potentials, Animals, Arcuate Nucleus, Brain Mapping, Fasting, Glutamic Acid, Immunohistochemistry, Lasers, Leptin, Male, Mice, Nerve Net, Neural Networks (Computer), Neuronal Plasticity, Neurons, Neuropeptide Y, Newborn, Patch-Clamp Techniques, Photic Stimulation, Pro-Opiomelanocortin, Synapses, Transgenic}, issn = {1097-6256}, doi = {10.1038/nn1550}, author = {Sternson, Scott M and Shepherd, Gordon M G and Friedman, Jeffrey M} }