@article {1680, title = {Optogenetic manipulation of neural circuits in awake marmosets.}, journal = {J Neurophysiol}, volume = {116}, year = {2016}, month = {2016 09 01}, pages = {1286-94}, abstract = {

Optogenetics has revolutionized the study of functional neuronal circuitry (Boyden ES, Zhang F, Bamberg E, Nagel G, Deisseroth K. Nat Neurosci 8: 1263-1268, 2005; Deisseroth K. Nat Methods 8: 26-29, 2011). Although these techniques have been most successfully implemented in rodent models, they have the potential to be similarly impactful in studies of nonhuman primate brains. Common marmosets (Callithrix jacchus) have recently emerged as a candidate primate model for gene editing, providing a potentially powerful model for studies of neural circuitry and disease in primates. The application of viral transduction methods in marmosets for identifying and manipulating neuronal circuitry is a crucial step in developing this species for neuroscience research. In the present study we developed a novel, chronic method to successfully induce rapid photostimulation in individual cortical neurons transduced by adeno-associated virus to express channelrhodopsin (ChR2) in awake marmosets. We found that large proportions of neurons could be effectively photoactivated following viral transduction and that this procedure could be repeated for several months. These data suggest that techniques for viral transduction and optical manipulation of neuronal populations are suitable for marmosets and can be combined with existing behavioral preparations in the species to elucidate the functional neural circuitry underlying perceptual and cognitive processes.

}, keywords = {Action Potentials, Animals, Bacterial Proteins, Brain, Callithrix, Dependovirus, Female, Genetic Vectors, Luminescent Proteins, Microelectrodes, Models, Animal, Neural Pathways, Neurons, Optogenetics, Photic Stimulation, Rhodopsin, Serogroup, Wakefulness}, issn = {1522-1598}, doi = {10.1152/jn.00197.2016}, author = {MacDougall, Matthew and Nummela, Samuel U and Coop, Shanna and Disney, Anita and Mitchell, Jude F and Miller, Cory T} } @article {138, title = {Activity-dependent competition regulates motor neuron axon pathfinding via PlexinA3.}, journal = {Proc Natl Acad Sci U S A}, volume = {110}, year = {2013}, month = {2013 Jan 22}, pages = {1524-9}, abstract = {

The role of electrical activity in axon guidance has been extensively studied in vitro. To better understand its role in the intact nervous system, we imaged intracellular Ca(2+) in zebrafish primary motor neurons (PMN) during axon pathfinding in vivo. We found that PMN generate specific patterns of Ca(2+) spikes at different developmental stages. Spikes arose in the distal axon of PMN and were propagated to the cell body. Suppression of Ca(2+) spiking activity in single PMN led to stereotyped errors, but silencing all electrical activity had no effect on axon guidance, indicating that an activity-based competition rule regulates this process. This competition was not mediated by synaptic transmission. Combination of PlexinA3 knockdown with suppression of Ca(2+) activity in single PMN produced a synergistic increase in the incidence of pathfinding errors. However, expression of PlexinA3 transcripts was not regulated by activity. Our results provide an in vivo demonstration of the intersection of spontaneous electrical activity with the PlexinA3 guidance molecule receptor in regulation of axon pathfinding.

}, keywords = {Animals, Animals, Genetically Modified, Axons, Calcium Signaling, Gene Knockdown Techniques, Humans, Motor Neurons, Neural Pathways, Potassium Channels, Inwardly Rectifying, Receptors, Cell Surface, Recombinant Proteins, Synaptic Transmission, Zebrafish, Zebrafish Proteins}, issn = {1091-6490}, doi = {10.1073/pnas.1213048110}, author = {Plazas, Paola V and Nicol, Xavier and Spitzer, Nicholas C} } @article {158, title = {Neuroscience. The brain activity map.}, journal = {Science}, volume = {339}, year = {2013}, month = {2013 Mar 15}, pages = {1284-5}, keywords = {Brain Diseases, Brain Mapping, Hippocampus, Humans, Neural Pathways, Neurons}, issn = {1095-9203}, doi = {10.1126/science.1236939}, author = {Alivisatos, A Paul and Chun, Miyoung and Church, George M and Deisseroth, Karl and Donoghue, John P and Greenspan, Ralph J and McEuen, Paul L and Roukes, Michael L and Sejnowski, Terrence J and Weiss, Paul S and Yuste, Rafael} } @article {183, title = {Selection of distinct populations of dentate granule cells in response to inputs as a mechanism for pattern separation in mice.}, journal = {Elife}, volume = {2}, year = {2013}, month = {2013}, pages = {e00312}, abstract = {

The hippocampus is critical for episodic memory and computational studies have predicted specific functions for each hippocampal subregion. Particularly, the dentate gyrus (DG) is hypothesized to perform pattern separation by forming distinct representations of similar inputs. How pattern separation is achieved by the DG remains largely unclear. By examining neuronal activities at a population level, we revealed that, unlike CA1 neuron populations, dentate granule cell (DGC) ensembles activated by learning were not preferentially reactivated by memory recall. Moreover, when mice encountered an environment to which they had not been previously exposed, a novel DGC population-rather than the previously activated DGC ensembles that responded to past events-was selected to represent the new environmental inputs. This selection of a novel responsive DGC population could be triggered by small changes in environmental inputs. Therefore, selecting distinct DGC populations to represent similar but not identical inputs is a mechanism for pattern separation. DOI:http://dx.doi.org/10.7554/eLife.00312.001.

}, keywords = {Animals, Behavior, Animal, Brain Mapping, CA1 Region, Hippocampal, Conditioning (Psychology), Cues, Dentate Gyrus, Environment, Fear, Gene Expression Regulation, Genes, Reporter, Memory, Memory, Episodic, Mental Recall, Mice, Inbred BALB C, Mice, Inbred C57BL, Mice, Transgenic, Neural Pathways, Neurons, Pattern Recognition, Physiological, Time Factors}, issn = {2050-084X}, doi = {10.7554/eLife.00312}, author = {Deng, Wei and Mayford, Mark and Gage, Fred H} } @article {159, title = {The brain activity map project and the challenge of functional connectomics.}, journal = {Neuron}, volume = {74}, year = {2012}, month = {2012 Jun 21}, pages = {970-4}, abstract = {

The function of neural circuits is an emergent property that arises from the coordinated activity of large numbers of neurons. To capture this, we propose launching a large-scale, international public effort, the Brain Activity Map Project, aimed at reconstructing the full record of neural activity across complete neural circuits. This technological challenge could prove to be an invaluable step toward understanding fundamental and pathological brain processes.

}, keywords = {Action Potentials, Brain, Brain Mapping, Humans, Models, Neurological, Nerve Net, Neural Pathways, Neurons}, issn = {1097-4199}, doi = {10.1016/j.neuron.2012.06.006}, author = {Alivisatos, A Paul and Chun, Miyoung and Church, George M and Greenspan, Ralph J and Roukes, Michael L and Yuste, Rafael} } @article {193, title = {Targeting single neuronal networks for gene expression and cell labeling in vivo.}, journal = {Neuron}, volume = {67}, year = {2010}, month = {2010 Aug 26}, pages = {562-74}, abstract = {

To understand fine-scale structure and function of single mammalian neuronal networks, we developed and validated a strategy to genetically target and trace monosynaptic inputs to a single neuron in vitro and in vivo. The strategy independently targets a neuron and its presynaptic network for specific gene expression and fine-scale labeling, using single-cell electroporation of DNA to target infection and monosynaptic retrograde spread of a genetically modifiable rabies virus. The technique is highly reliable, with transsynaptic labeling occurring in every electroporated neuron infected by the virus. Targeting single neocortical neuronal networks in vivo, we found clusters of both spiny and aspiny neurons surrounding the electroporated neuron in each case, in addition to intricately labeled distal cortical and subcortical inputs. This technique, broadly applicable for probing and manipulating single neuronal networks with single-cell resolution in vivo, may help shed new light on fundamental mechanisms underlying circuit development and information processing by neuronal networks throughout the brain.

}, keywords = {Animals, Electroporation, Gene Expression, Genetic Vectors, Histological Techniques, In Vitro Techniques, Mice, Neocortex, Neural Pathways, Neuroanatomical Tract-Tracing Techniques, Neuronal Tract-Tracers, Neurons, Presynaptic Terminals, Pyramidal Cells, Rabies virus, Rats, Reproducibility of Results, Visual Cortex}, issn = {1097-4199}, doi = {10.1016/j.neuron.2010.08.001}, author = {Marshel, James H and Mori, Takuma and Nielsen, Kristina J and Callaway, Edward M} } @article {175, title = {Computational influence of adult neurogenesis on memory encoding.}, journal = {Neuron}, volume = {61}, year = {2009}, month = {2009 Jan 29}, pages = {187-202}, abstract = {

Adult neurogenesis in the hippocampus leads to the incorporation of thousands of new granule cells into the dentate gyrus every month, but its function remains unclear. Here, we present computational evidence that indicates that adult neurogenesis may make three separate but related contributions to memory formation. First, immature neurons introduce a degree of similarity to memories learned at the same time, a process we refer to as pattern integration. Second, the extended maturation and change in excitability of these neurons make this added similarity a time-dependent effect, supporting the possibility that temporal information is included in new hippocampal memories. Finally, our model suggests that the experience-dependent addition of neurons results in a dentate gyrus network well suited for encoding new memories in familiar contexts while treating novel contexts differently. Taken together, these results indicate that new granule cells may affect hippocampal function in several unique and previously unpredicted ways.

}, keywords = {Age Factors, Algorithms, Animals, Cell Proliferation, Computer Simulation, Dentate Gyrus, Humans, Memory, Nerve Net, Neural Pathways, Neurogenesis, Neuronal Plasticity, Neurons, Stem Cells, Synapses, Time Perception}, issn = {1097-4199}, doi = {10.1016/j.neuron.2008.11.026}, author = {Aimone, James B and Wiles, Janet and Gage, Fred H} }