Steady or changing? Long-term monitoring of neuronal population activity

Trends in Neurosciences

Volumn 36, Issue 7, 2013, Pages 375-384

  Lütcke, Henry ^a   Margolis, David J ^a   Helmchen, Fritjof ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CALCIUM ION;

ACTION POTENTIAL; BRAIN FUNCTION; BRAIN NERVE CELL; CALCIUM CELL LEVEL; FLUORESCENCE MICROSCOPY; IN VIVO STUDY; LEARNING; MOTOR CONTROL; MOTOR CORTEX; NEOCORTEX; NERVE CELL PLASTICITY; NONHUMAN; PRIORITY JOURNAL; REVIEW; VISUAL CORTEX;

ANIMALS; BRAIN; HUMANS; NEURONAL PLASTICITY; NEURONS; TIME FACTORS;

EID: 84879783265     PISSN: 01662236     EISSN: 1878108X     Source Type: Journal    
DOI: 10.1016/j.tins.2013.03.008     Document Type: Review

References (94)

1. Hebb D. The Organization of Behavior: A Neuropsychological Theory 1949, John Wiley & Sons.
2. Buzsáki G. Neural syntax: cell assemblies, synapsembles, and readers. Neuron 2010, 68:362-385.
3. Ehlers M.D. Activity level controls postsynaptic composition and signaling via the ubiquitin-proteasome system. Nat. Neurosci. 2003, 6:231-242.
4. Holtmaat A., Svoboda K. Experience-dependent structural synaptic plasticity in the mammalian brain. Nat. Rev. Neurosci. 2009, 10:647-658.
5. Barth A.L., Poulet J.F.A. Experimental evidence for sparse firing in the neocortex. Trends Neurosci. 2012, 35:345-355.
6. Thompson L.T., Best P.J. Long-term stability of the place-field activity of single units recorded from the dorsal hippocampus of freely behaving rats. Brain Res. 1990, 509:299-308.
7. Greenberg P.A., Wilson F.A.W. Functional stability of dorsolateral prefrontal neurons. J. Neurophysiol. 2004, 92:1042-1055.
8. Rousche P.J., Normann R.A. Chronic recording capability of the Utah Intracortical Electrode Array in cat sensory cortex. J. Neurosci. Methods 1998, 82:1-15.
9. Schmitzer-Torbert N., Redish A.D. Neuronal activity in the rodent dorsal striatum in sequential navigation: separation of spatial and reward responses on the multiple T task. J. Neurophysiol. 2004, 91:2259-2272.
10. Tolias A.S., et al. Recording chronically from the same neurons in awake, behaving primates. J. Neurophysiol. 2007, 98:3780-3790.
11. Nicolelis M.A.L., et al. Chronic, multisite, multielectrode recordings in macaque monkeys. Proc. Natl. Acad. Sci. U.S.A. 2003, 100:11041-11046.
12. Fraser G.W., Schwartz A.B. Recording from the same neurons chronically in motor cortex. J. Neurophysiol. 2012, 107:1970-1978.
13. Jackson A., Fetz E.E. Compact movable microwire array for long-term chronic unit recording in cerebral cortex of primates. J. Neurophysiol. 2007, 98:3109-3118.
14. Dickey A.S., et al. Single-unit stability using chronically implanted multielectrode arrays. J. Neurophysiol. 2009, 102:1331-1339.
15. Connors B.W., Gutnick M.J. Intrinsic firing patterns of diverse neocortical neurons. Trends Neurosci. 1990, 13:99-104.
16. Looger L.L., Griesbeck O. Genetically encoded neural activity indicators. Curr. Opin. Neurobiol. 2012, 22:18-23.
17. Tian L., et al. Neural activity imaging with genetically encoded calcium indicators. Prog. Brain Res. 2012, 196:79-94.
18. Grienberger C., Konnerth A. Imaging calcium in neurons. Neuron 2012, 73:862-885.
19. Lütcke H., Helmchen F. Two-photon imaging and analysis of neural network dynamics. Rep. Prog. Phys. 2011, 74:086602.
20. Kerr J.N.D., Denk W. Imaging in vivo: watching the brain in action. Nat. Rev. Neurosci. 2008, 9:195-205.
21. Nauhaus I., et al. Orthogonal micro-organization of orientation and spatial frequency in primate primary visual cortex. Nat. Neurosci. 2012, 15:1683-1690.
22. Andermann M.L., et al. Chronic cellular imaging of mouse visual cortex during operant behavior and passive viewing. Front. Cell. Neurosci. 2010, 4:3.
23. Minderer M., et al. Chronic imaging of cortical sensory map dynamics using a genetically encoded calcium indicator. J. Physiol. 2012, 590:99-107.
24. Lütcke H., et al. Optical recording of neuronal activity with a genetically-encoded calcium indicator in anesthetized and freely moving mice. Front. Neural Circuits 2010, 4:9.
25. Hasan M.T., et al. Functional fluorescent Ca2+ indicator proteins in transgenic mice under TET control. PLoS Biol. 2004, 2:e163.
26. Tian L., et al. Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators. Nat. Methods 2009, 6:875-881.
27. Mank M., et al. A genetically encoded calcium indicator for chronic in vivo two-photon imaging. Nat. Methods 2008, 5:805-811.
28. Zariwala H.A., et al. A Cre-dependent GCaMP3 reporter mouse for neuronal imaging in vivo. J. Neurosci. 2012, 32:3131-3141.
29. Heim N., et al. Improved calcium imaging in transgenic mice expressing a troponin C-based biosensor. Nat. Methods 2007, 4:127-129.
30. Nagai T., et al. Expanded dynamic range of fluorescent indicators for Ca(2+) by circularly permuted yellow fluorescent proteins. Proc. Natl. Acad. Sci. U.S.A. 2004, 101:10554-10559.
31. Chen Q., et al. Imaging Neural Activity Using Thy1-GCaMP Transgenic Mice. Neuron 2012, 76:297-308.
32. Holtmaat A., et al. Long-term, high-resolution imaging in the mouse neocortex through a chronic cranial window. Nat. Protoc. 2009, 4:1128-1144.
33. Drew P.J., et al. Chronic optical access through a polished and reinforced thinned skull. Nat. Methods 2010, 7:981-984.
34. Grutzendler J., et al. Long-term dendritic spine stability in the adult cortex. Nature 2002, 420:812-816.
35. Romoser V.A., et al. Detection in living cells of Ca2+-dependent changes in the fluorescence emission of an indicator composed of two green fluorescent protein variants linked by a calmodulin-binding sequence. A new class of fluorescent indicators. J. Biol. Chem. 1997, 272:13270-13274.
36. Miyawaki A., et al. Fluorescent indicators for Ca2+ based on green fluorescent proteins and calmodulin. Nature 1997, 388:882-887.
37. Wallace D.J., et al. Single-spike detection in vitro and in vivo with a genetic Ca2+ sensor. Nat. Methods 2008, 5:797-804.
38. Horikawa K., et al. Spontaneous network activity visualized by ultrasensitive Ca(2+) indicators, yellow Cameleon-Nano. Nat. Methods 2010, 7:729-732.
39. Akerboom J., et al. Optimization of a GCaMP calcium indicator for neural activity imaging. J. Neurosci. 2012, 32:13819-13840.
40. Helmchen F., Tank D.W. A single-compartment model of calcium dynamics in nerve terminals and dendrites. Imaging in Neuroscience: A Laboratory Manual 2011, 355-368. Cold Spring Harbor Laboratory Press. F. Helmchen, A. Konnerth (Eds.).
41. Huber D., et al. Multiple dynamic representations in the motor cortex during sensorimotor learning. Nature 2012, 484:473-478.
42. Margolis D.J., et al. Reorganization of cortical population activity imaged throughout long-term sensory deprivation. Nat. Neurosci. 2012, 15:1539-1546.
43. 2+ indicators. Science 2011, 333:1888-1891.
44. Ohkura M., et al. An improved genetically encoded red fluorescent Ca2+ indicator for detecting optically evoked action potentials. PLoS ONE 2012, 7:e39933.
45. Ohkura M., et al. Genetically encoded green fluorescent ca(2+) indicators with improved detectability for neuronal ca(2+) signals. PLoS ONE 2012, 7:e51286.
46. Chen, T-W. et al. (2012) Reliable detection of single action potentials and synaptic calcium signals using improved genetically-encoded calcium indicators. In 2012 Neuroscience Meeting Planner, Program number 927.08/FFF77, Society for Neuroscience.
47. Grewe B.F., Helmchen F. Optical probing of neuronal ensemble activity. Curr. Opin. Neurobiol. 2009, 19:520-539.
48. Langer D., Helmchen F. Post hoc immunostaining of GABAergic neuronal subtypes following in vivo two-photon calcium imaging in mouse neocortex. Pflugers Arch. 2012, 463:339-354.
49. Kerlin A.M., et al. Broadly tuned response properties of diverse inhibitory neuron subtypes in mouse visual cortex. Neuron 2010, 67:858-871.
50. Wilson N.R., et al. Division and subtraction by distinct cortical inhibitory networks in vivo. Nature 2012, 488:343-348.
51. Mittmann W., et al. Two-photon calcium imaging of evoked activity from L5 somatosensory neurons in vivo. Nat. Neurosci. 2011, 14:1089-1093.
52. Howard S.S., et al. Frequency multiplexed in vivo multiphoton phosphorescence lifetime microscopy. Nat. Photonics 2013, 7:33-37.
53. Grewe B.F., et al. High-speed in vivo calcium imaging reveals neuronal network activity with near-millisecond precision. Nat. Methods 2010, 7:399-405.
54. Schmidt E.M., et al. Long-term chronic recording from cortical neurons. Exp. Neurol. 1976, 52:496-506.
55. Carmena J.M., et al. Stable ensemble performance with single-neuron variability during reaching movements in primates. J. Neurosci. 2005, 25:10712-10716.
56. Musallam S., et al. Cognitive control signals for neural prosthetics. Science 2004, 305:258-262.
57. Taylor D.M., et al. Direct cortical control of 3D neuroprosthetic devices. Science 2002, 296:1829-1832.
58. Ganguly K., Carmena J.M. Emergence of a stable cortical map for neuroprosthetic control. PLoS Biol. 2009, 7:e1000153.
59. Georgopoulos A.P., et al. On the relations between the direction of two-dimensional arm movements and cell discharge in primate motor cortex. J. Neurosci. 1982, 2:1527-1537.
60. Chestek C.A., et al. Single-neuron stability during repeated reaching in macaque premotor cortex. J. Neurosci. 2007, 27:10742-10750.
61. Rokni U., et al. Motor learning with unstable neural representations. Neuron 2007, 54:653-666.
62. Kerr J.N.D., et al. Spatial organization of neuronal population responses in layer 2/3 of rat barrel cortex. J. Neurosci. 2007, 27:13316-13328.
63. Yassin L., et al. An embedded subnetwork of highly active neurons in the neocortex. Neuron 2010, 68:1043-1050.
64. Sato T.R., et al. The functional microarchitecture of the mouse barrel cortex. PLoS Biol. 2007, 5:e189.
65. Hromádka T., et al. Sparse representation of sounds in the unanesthetized auditory cortex. PLoS Biol. 2008, 6:e16.
66. Shoham S., et al. How silent is the brain: is there a 'dark matter' problem in neuroscience?. J. Comp. Physiol. A: Neuroethol. Sens. Neural. Behav. Physiol. 2006, 192:777-784.
67. Brecht M., et al. Silent neurons in sensorimotor cortices: Implications for cortical plasticity. Neural Plasticity in Adult Somatic Sensory-Motor Systems 2005, 1-19. CRC Press. F.F. Ebner (Ed.).
68. Cohen L., et al. Time-lapse electrical recordings of single neurons from the mouse neocortex. Proc. Natl. Acad. Sci. U.S.A. 2013, 110:5665-5670.
69. O'Keefe J., Dostrovsky J. The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat. Brain Res. 1971, 34:171-175.
70. Kentros C.G., et al. Increased attention to spatial context increases both place field stability and spatial memory. Neuron 2004, 42:283-295.
71. Dombeck D.A., et al. Functional imaging of hippocampal place cells at cellular resolution during virtual navigation. Nat. Neurosci. 2010, 13:1433-1440.
72. Ziv Y., et al. Long-term dynamics of CA1 hippocampal place codes. Nat. Neurosci. 2013, 16:1-5.
73. Molina-Luna K., et al. Dopamine in motor cortex is necessary for skill learning and synaptic plasticity. PLoS ONE 2009, 4:e7082.
74. Bao S., et al. Cortical remodelling induced by activity of ventral tegmental dopamine neurons. Nature 2001, 412:79-83.
75. Froemke R.C., et al. A synaptic memory trace for cortical receptive field plasticity. Nature 2007, 450:425-429.
76. Lefort S., et al. The excitatory neuronal network of the C2 barrel column in mouse primary somatosensory cortex. Neuron 2009, 61:301-316.
77. Turrigiano G.G., et al. Activity-dependent scaling of quantal amplitude in neocortical neurons. Nature 1998, 391:892-896.
78. Turrigiano G.G. The self-tuning neuron: synaptic scaling of excitatory synapses. Cell 2008, 135:422-435.
79. Mrsic-Flogel T.D., et al. Homeostatic regulation of eye-specific responses in visual cortex during ocular dominance plasticity. Neuron 2007, 54:961-972.
80. Goold C.P., Nicoll R.A. Single-cell optogenetic excitation drives homeostatic synaptic depression. Neuron 2010, 68:512-528.
81. Fu M., et al. Repetitive motor learning induces coordinated formation of clustered dendritic spines in vivo. Nature 2012, 483:92-95.
82. Xu T., et al. Rapid formation and selective stabilization of synapses for enduring motor memories. Nature 2009, 462:915-919.
83. Otani S., et al. Dopaminergic modulation of long-term synaptic plasticity in rat prefrontal neurons. Cereb. Cortex 2003, 13:1251-1256.
84. Schultz W., et al. A neural substrate of prediction and reward. Science 1997, 275:1593-1599.
85. Rossato J.I., et al. Dopamine controls persistence of long-term memory storage. Science 2009, 325:1017-1020.
86. Lisman J.E., Grace A.A. The hippocampal-VTA loop: controlling the entry of information into long-term memory. Neuron 2005, 46:703-713.
87. Glickfeld L.L., et al. Cortico-cortical projections in mouse visual cortex are functionally target specific. Nat. Neurosci. 2013, 16:219-226.
88. Xu N., et al. Nonlinear dendritic integration of sensory and motor input during an active sensing task. Nature 2012, 492:247-251.
89. Chen, J.L. et al. (2012) Improved in vivo detection of single action potentials using yellow cameleon-nano indicators. In 2012 Neuroscience Meeting Planner, Program number 709.14/FFF11, Society for Neuroscience.
90. Palmer A.E., et al. Ca2+ indicators based on computationally redesigned calmodulin-peptide pairs. Chem. Biol. 2006, 13:521-530.
91. Taniguchi H., et al. A resource of Cre driver lines for genetic targeting of GABAergic neurons in cerebral cortex. Neuron 2011, 71:995-1013.
92. Madisen L., et al. A robust and high-throughput Cre reporting and characterization system for the whole mouse brain. Nat. Neurosci. 2010, 13:133-140.
93. Sato T.R., Svoboda K. The functional properties of barrel cortex neurons projecting to the primary motor cortex. J. Neurosci. 2010, 30:4256-4260.
94. Wolfe J., et al. Sparse and powerful cortical spikes. Curr. Opin. Neurobiol. 2010, 20:306-312.