From the connectome to brain function

Nature Methods

Volumn 10, Issue 6, 2013, Pages 483-490

  Bargmann, Cornelia I ^a   Marder, Eve ^b  

^a ROCKEFELLER UNIVERSITY   (United States)

^b BRANDEIS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIOR; BRAIN FUNCTION; BRAIN REGION; CONNECTOME; ELECTRICAL SYNAPSE; GAP JUNCTION; HUMAN; INFORMATION PROCESSING; INTERNEURON; INVERTEBRATE; MEMBRANE CURRENT; MEMBRANE STRUCTURE; MOTONEURON; NEUROMODULATION; NONHUMAN; PHARMACOGENETICS; PRIORITY JOURNAL; REVIEW; SENSORY NERVE CELL; SENSORY STIMULATION; SYNAPSE VESICLE; ANIMAL; BRACHYURA; BRAIN; CAENORHABDITIS ELEGANS; NERVE CELL; NERVE CELL NETWORK; PHYSIOLOGY; RETINA; SYNAPSE;

ANIMALS; BRACHYURA; BRAIN; CAENORHABDITIS ELEGANS; CONNECTOME; HUMANS; NERVE NET; NEURONS; RETINA; SYNAPSES;

MLCS; MLOWN;

EID: 84880818857     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.2451     Document Type: Review

References (50)

1. Bock, D.D. et al. Network anatomy and in vivo physiology of visual cortical neurons. Nature 471, 177-182 (2011).
2. Briggman, K.L. & Bock, D.D. Volume electron microscopy for neuronal circuit reconstruction. Curr. Opin. Neurobiol. 22, 154-161 (2012).
3. Briggman, K.L., Helmstaedter, M. & Denk, W. Wiring specificity in the direction-selectivity circuit of the retina. Nature 471, 183-188 (2011).
4. Kleinfeld, D. et al. Large-scale automated histology in the pursuit of connectomes. J. Neurosci. 31, 16125-16138 (2011).
5. Burrows, M. Monosynaptic connexions between wing stretch receptors and flight motoneurones of the locust. J. Exp. Biol. 62, 189-219 (1975).
6. Fentress, J.C. Simpler Networks and Behavior (Sinauer Associates, 1976).
7. Getting, P.A., Lennard, P.R. & Hume, R.I. Central pattern generator mediating swimming in Tritonia. I. Identification and synaptic interactions. J. Neurophysiol. 44, 151-164 (1980).
8. Stretton, A.O. & Kravitz, E.A. Neuronal geometry: determination with a technique of intracellular dye injection. Science 162, 132-134 (1968).
9. Remler, M., Selverston, A. & Kennedy, D. Lateral giant fibers of cray fish: location of somata by dye injection. Science 162, 281-283 (1968).
10. Goodman, C.S. Isogenic grasshoppers: genetic variability in the morphology of identified neurons. J. Comp. Neurol. 182, 681-705 (1978).
11. Maynard, E.A. Electron microscopy of the stomatogastric ganglion in the lobster, Homarus americanus. Tissue Cell 3, 137-160 (1971).
12. King, D.G. Organization of crustacean neuropil. I. Patterns of synaptic connections in lobster stomatogastric ganglion. J. Neurocytol. 5, 207-237 (1976).
13. King, D.G. Organization of crustacean neuropil. II. Distribution of synaptic contacts on identified motor neurons in lobster stomatogastric ganglion. J. Neurocytol. 5, 239-266 (1976).
14. White, J.G., Southgate, E., Thomson, J.N. & Brenner, S. The structure of the nervous system of the nematode Caenorhabditis elegans. Phil. Trans. R. Soc. Lond. B 314, 1-340 (1986).
15. Seung, H.S. Reading the book of memory: sparse sampling versus dense mapping of connectomes. Neuron 62, 17-29 (2009).
16. Meinertzhagen, I.A. & Lee, C.H. The genetic analysis of functional connectomics in Drosophila. Adv. Genet. 80, 99-151 (2012).
17. Anderson, J.R. et al. Exploring the retinal connectome. Mol. Vis. 17, 355-379 (2011).
18. Lu, J., Tapia, J.C., White, O.L. & Lichtman, J.W. The interscutularis muscle connectome. PLoS Biol. 7, e32 (2009).
19. Marder, E. & Bucher, D. Understanding circuit dynamics using the stomatogastric nervous system of lobsters and crabs. Annu. Rev. Physiol. 69, 291-316 (2007).
20. Nusbaum, M.P. & Beenhakker, M.P. A small-systems approach to motor pattern generation. Nature 417, 343-350 (2002).
21. Thirumalai, V., Prinz, A.A., Johnson, C.D. & Marder, E. Red pigment concentrating hormone strongly enhances the strength of the feedback to the pyloric rhythm oscillator but has little effect on pyloric rhythm period. J. Neurophysiol. 95, 1762-1770 (2006).
22. Chalfie, M. et al. The neural circuit for touch sensitivity in Caenorhabditis elegans. J. Neurosci. 5, 956-964 (1985).
23. Gutierrez, G.J., O'Leary, T. & Marder, E. Multiple mechanisms switch an electrically coupled, synaptically inhibited neuron between competing rhythmic oscillators. Neuron 77, 845-858 (2013).
24. Sharp, A.A., Skinner, F.K. & Marder, E. Mechanisms of oscillation in dynamic clamp constructed two-cell half-center circuits. J. Neurophysiol. 76, 867-883 (1996).
25. Jang, H. et al. Neuromodulatory state and sex specify alternative behaviors through antagonistic synaptic pathways in C. elegans. Neuron 75, 585-592 (2012).
26. Pereda, A.E. et al. Gap junction-mediated electrical transmission: regulatory mechanisms and plasticity. Biochim. Biophys. Acta 1828, 134-146 (2013).
27. Neyton, J. & Trautmann, A. Physiological modulation of gap junction permeability. J. Exp. Biol. 124, 93-114 (1986).
28. Guo, Y.M. et al. Imaging dynamic cell-cell junctional coupling in vivo using Trojan-LAMP. Nat. Methods 5, 835-841 (2008).
29. Marder, E. Neuromodulation of neuronal circuits: back to the future. Neuron 76, 1-11 (2012).
30. Macosko, E.Z. et al. A hub-and-spoke circuit drives pheromone attraction and social behaviour in C. elegans. Nature 458, 1171-1175 (2009).
31. Inagaki, H.K. et al. Visualizing neuromodulation in vivo: TANGO-mapping of dopamine signaling reveals appetite control of sugar sensing. Cell 148, 583-595 (2012).
32. Sharp, A.A., O'Neil, M.B., Abbott, L.F. & Marder, E. Dynamic clamp: computer-generated conductances in real neurons. J. Neurophysiol. 69, 992-995 (1993).
33. Kawaguchi, Y. & Kondo, S. Parvalbumin, somatostatin and cholecystokinin as chemical markers for specific GABAergic interneuron types in the rat frontal cortex. J. Neurocytol. 31, 277-287 (2002).
34. Egorov, A.V., Hamam, B.N., Fransen, E., Hasselmo, M.E. & Alonso, A.A. Graded persistent activity in entorhinal cortex neurons. Nature 420, 173-178 (2002).
35. Aston-Jones, G. & Cohen, J.D. An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance. Annu. Rev. Neurosci. 28, 403-450 (2005).
36. Zucker, R.S. & Regehr, W.G. Short-term synaptic plasticity. Annu. Rev. Physiol. 64, 355-405 (2002).
37. Masland, R.H. The neuronal organization of the retina. Neuron 76, 266-280 (2012).
38. Grimes, W.N., Zhang, J., Graydon, C.W., Kachar, B. & Diamond, J.S. Retinal parallel processors: more than 100 independent microcircuits operate within a single interneuron. Neuron 65, 873-885 (2010).
39. Hosoya, T., Baccus, S.A. & Meister, M. Dynamic predictive coding by the retina. Nature 436, 71-77 (2005).
40. Farrow, K. et al. Ambient illumination toggles a neuronal circuit switch in the retina and visual perception at cone threshold. Neuron 78, 325-338 (2013).
41. Rivlin-Etzion, M., Wei, W. & Feller, M.B. Visual stimulation reverses the directional preference of direction-selective retinal ganglion cells. Neuron 76, 518-525 (2012).
42. Witkovsky, P. Dopamine and retinal function. Doc. Ophthalmol. 108, 17-40 (2004).
43. Ciocchi, S. et al. Encoding of conditioned fear in central amygdala inhibitory circuits. Nature 468, 277-282 (2010).
44. Marder, E. & Taylor, A.L. Multiple models to capture the variability in biological neurons and networks. Nat. Neurosci. 14, 133-138 (2011).
45. Milo, R. et al. Network motifs: simple building blocks of complex networks. Science 298, 824-827 (2002).
46. Markram, H. The blue brain project. Nat. Rev. Neurosci. 7, 153-160 (2006).
47. Koch, C. & Reid, R.C. Neuroscience: Observatories of the mind. Nature 483, 397-398 (2012).
48. Alivisatos, A.P. et al. The brain activity map project and the challenge of functional connectomics. Neuron 74, 970-974 (2012).
49. Koch, C. Systems biology. Modular biological complexity. Science 337, 531-532 (2012).
50. Varshney, L.R., Chen, B.L., Paniagua, E., Hall, D.H. & Chklovskii, D.B. Structural properties of the Caenorhabditis elegans neuronal network. PLoS Comput. Biol. 7, e1001066 (2011).