Classification of cortical microcircuits based on micro-electrode-array data from slices of rat barrel cortex

Neural Networks

Volumn 22, Issue 8, 2009, Pages 1159-1168

  Bakker, Rembrandt ^a   Schubert, Dirk ^a   Levels, Koen ^a   Bezgin, Gleb ^a,b   Bojak, Ingo ^a   Kötter, Rolf ^a  

^a RADBOUD UNIVERSITY   (Netherlands)

^b UNIVERSITY HOSPITAL DÜSSELDORF   (Germany)

Author keywords

Cortical layers; Cortical microcircuits; Current source density; Impulse response; Information radius; Multi electrode array; Principal component analysis; Rodent; Somatosensory cortex

Indexed keywords

CORTICAL LAYERS; CORTICAL MICROCIRCUITS; CURRENT-SOURCE DENSITY; INFORMATION RADIUS; MULTI-ELECTRODE ARRAY; RODENT; SOMATOSENSORY CORTEX;

CELL MEMBRANES; CLUSTER ANALYSIS; IMPULSE RESPONSE; SIZE DISTRIBUTION; TIME SERIES; TIME SERIES ANALYSIS;

PRINCIPAL COMPONENT ANALYSIS;

ANIMAL TISSUE; ARTICLE; BIOINFORMATICS; CLUSTER ANALYSIS; CONTROLLED STUDY; MICROELECTRODE; NERVE CELL NETWORK; NERVE STIMULATION; NONHUMAN; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; RAT; RESPONSE TIME; SOMATOSENSORY CORTEX; SPIKE WAVE; STIMULUS RESPONSE;

ACTION POTENTIALS; ANIMALS; AXONS; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; ELECTRIC STIMULATION; ELECTROPHYSIOLOGY; MICROELECTRODES; NEURAL PATHWAYS; NEURONS; ORGAN CULTURE TECHNIQUES; PRINCIPAL COMPONENT ANALYSIS; RATS; RATS, WISTAR; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOMATOSENSORY CORTEX; SYNAPTIC TRANSMISSION;

EID: 70349469588     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2009.07.014     Document Type: Article

References (44)

1. Agmon A., and Connors B.W. Thalamocortical responses of mouse somatosensory (barrel) cortex in vitro. Neuroscience 41 2-3 (1991) 365-379
2. Armstrong-James M., Fox K., and Das-Gupta A. Flow of excitation within rat barrel cortex on striking a single vibrissa. Journal of Neurophysiology 68 (1992) 1345-1358
3. Callaway E.M., and Yuste R. Stimulating neurons with light. Current Opinion in Neurobiology 12 (2002) 587
4. Douglas R.J., and Martin K.A.C. Neuronal circuits of the neocortex. Annual Review of Neuroscience 27 (2004) 419-451
5. Egert U., Knott T.H., Schwarz C., Nawrot M., Brandt A., Rotter S., et al. MEA-Tools: An open source toolbox for the analysis of multi-electrode data with MATLAB. Journal of Neuroscience Methods 17 (2002) 33-42
6. Frostig R.D., Xiong Y., Chen-Bee C.H., Kvasnak E., and Stehberg J. Large-scale organization of rat sensorimotor cortex based on a motif of large activation spreads. Journal of Neuroscience 28 (2008) 13 274-13 284
7. Görtz P., Opatz J., Siebler M., Funke S.A., Willbold D., and Lange-Asschenfeldt C. Transient reduction of spontaneous neuronal network activity by sublethal amyloid beta (1-42) peptide concentrations. Journal of Neural Transmission 116 3 (2009) 351-355
8. Gross G.W. Simultaneous single unit recording in vitro with a photoetched laser deinsulated gold multimicroelectrode surface. IEEE Transactions on Bio-Medical Engineering 26 (1979) 273-279
9. Jimbo Y., Kawana A., Parodi P., and Torre V. The dynamics of a neuronal culture of dissociated cortical neurons of neonatal rats. Biological cybernetics 83 1 (2000) 1-20
10. Kawaguchi Y. Physiological subgroups of nonpyramidal cells with specific morphological characteristics in layer II/III of rat frontal cortex. Journal of Neuroscience 15 (1995) 2638-2655
11. Kawaguchi Y., and Kubota Y. Physiological and morphological identification of somatostatin- or vasoactive intestinal polypeptide-containing cells among GABAergic cell subtypes in rat frontal cortex. Journal of Neuroscience 16 (1996) 2701-2715
12. Kopanitsa M.V., Afinowi N.O., and Grant S.G. Recording long-term potentiation of synaptic transmission by three-dimensional multi-electrode arrays. BMC Neuroscience 7 61 (2006) PubMed PMID: 16942609; PubMed Central PMCID: PMC1574331
13. Kötter R., Staiger J.F., Zilles K., and Luhmann H.J. Analysing functional connectivity in brain slices by a combination of infrared video microscopy, flash photolysis of caged compounds and scanning methods. Neuroscience 86 (1998) 265-277
14. Larkman A., and Mason A. Correlations between morphology and electrophysiology of pyramidal neurons in slices of rat visual cortex. I. Establishment of cell classes. Journal of Neuroscience 10 (1990) 1407-1414
15. Larsen D.D., Wickersham I.R., and Callaway E.M. Retrograde tracing with recombinant rabies virus reveals correlations between projection targets and dendritic architecture in layer 5 of mouse barrel cortex. Frontiers in Neural Circuits 1 (2007) 5
16. Lefort S., Tomm C., Sarria J.-C.F., and Petersen C.C. The excitatory neuronal network of the C2 barrel column in mouse primary somatosensory cortex. Neuron 61 (2009) 301-316
17. Lübke J., Roth A., Feldmeyer D., and Sakmann B. Morphometric analysis of the columnar innervation domain of neurons connecting layer 4 and layer 2/3 of juvenile rat barrel cortex. Cerebral Cortex 13 (2003) 1051-1063
18. Lübke J., and Feldmeyer D. Excitatory signal flow and connectivity in a cortical column: focus on barrel cortex. Brain Structure and Function 212 (2007) 3-17
19. Mann E.O., Suckling J.M., Hajos N., Greenfield S.A., and Paulsen O. Perisomatic feedback inhibition underlies cholinergically induced fast network oscillations in the rat hippocampus in vitro. Neuron 45 (2005) 105-117
20. Mason A., and Larkman A. Correlations between morphology and electrophysiology of pyramidal neurons in slices of rat visual cortex. II. Electrophysiology. Journal of Neuroscience 10 (1990) 1415-1428
21. Markram H., Toledo-Rodriguez M., Wang Y., Gupta A., Silberberg G., and Wu C. Interneurons of the neocortical inhibitory system. Nature Reviews Neuroscience 5 (2004) 793-807
22. Mitzdorf U. Current source-density method and application in cat cerebral cortex: Investigation of evoked potentials and EEG phenomena. Physiological Reviews 65 (1985) 37-100
23. Multichannel Systems, 2005. MEA Preparation Note: Acute Hippocampus Slices from Rattus Norvegicus. www.multichannelsystems.com
24. Nelson S.B. Cortical microcircuits: Diverse or canonical?. Neuron 36 (2002) 19-27
25. Nicholson, C. 1973. Theoretical analysis of field potentials in anisotropic ensembles of neuronal elements. IEEE Transactions on Biomedical Engineering, BME-20, 278-288
26. Nicholson C., and Freeman J.A. Theory of current source-density analysis and determination of conductivity tensor for anuran cerebellum. Journal of Neurophysiology 38 (1975) 356-368
27. Otto F., Görtz P., Fleischer W., and Siebler M. Cryopreserved rat cortical cells develop functional neuronal networks on microelectrode arrays. Journal of Neuroscience Methods 128 1-2 (2003) 173-181
28. Partadiredja G., Miller R., and Oorschot D.E. The number, size, and type of axons in rat subcortical white matter on left and right sides: A stereological, ultrastructural study. Journal of Neurocytology 32 (2003) 1165-1179
29. Peters A., and Jones E.G. Classification of cortical neurons. In: Peters A., and Jones E.G. (Eds). Cellular components of the cerebral cortex (1984), Plenum Press, New York 107-121
30. Rinaldi T., Perrodin C., and Markram H. Hyper-connectivity and hyper-plasticity in the medial prefrontal cortex in the valproic acid animal model of autism. Frontiers in Neural Circuits 2 (2008) 4
31. Rose G., and Siebler M. Cooperative effects of neuronal ensembles. Experimental Brain Research 106 (1995) 106-110
32. Rutten W.L., Ruardij T.G., Marani E., and Roelofsen B.H. Neural networks on chemically patterned electrode arrays: towards a cultured probe. Acta Neurochirurgica Supplements 97 2 (2007) 547-554
33. Schubert D., Kötter R., Luhmann H.J., and Staiger J.F. Morphology, electrophysiology and functional input connectivity of pyramidal neurons characterizes a genuine layer Va in the primary somatosensory cortex. Cerebral Cortex 16 (2006) 223-236
34. Schubert D., Kötter R., and Staiger J.F. Mapping functional connectivity in barrel-related columns reveals layer- and cell type-specific microcircuits. Brain Structure and Function 212 (2007) 107-119
35. Siebler M., Köller H., Stichel C.C., Müller H.W., and Freund H.J. Spontaneous activity and recurrent inhibition in cultured hippocampal networks. Synapse 14 (1993) 206-213
36. Silberberg G., Grillner S., LeBeau F.E., Maex R., and Markram H. Synaptic pathways in neural microcircuits. Trends in Neurosciences 28 (2005) 541-551
37. Staiger J.F., Flagmeyer I., Schubert D., Zilles K., Kötter R., and Luhmann H.J. Functional diversity of layer IV spiny neurons in rat somatosensory cortex: Quantitative morphology of electrophysiologically characterized and biocytin labeled cells. Cerebral Cortex 14 (2004) 690-701
38. Staiger J.F., Kötter R., Zilles K., and Luhmann H.J. Laminar characteristics of functional connectivity in rat barrel cortex revealed by stimulation with caged glutamate. Neuroscience research 37 (2000) 49-58
39. Tanifuji M., Sugiyama T., and Murase K. Horizontal propagation of excitation in rat visual cortical slices revealed by optical imaging. Science 266 (1994) 1057-1059
40. Tenke C.E., Schroeder C.E., Arezzo J.C., and Vaughan Jr. H.G. Interpretation of high-resolution current source density profiles: A simulation of sublaminar contributions to the visual evoked potential. Experimental Brain Research 94 (1993) 183-192
41. Thomson A.M., and Lamy C. Functional maps of neocortical local circuitry. Frontiers in Neuroscience 1 (2007) 19-42
42. Tonomura, W., Moriguchi, H., Jimbo, Y., & Konishi, S. 2008. Parallel multipoint recording of aligned and cultured neurons on corresponding Micro Channel Array toward on-chip cell analysis. In Proceedings from EMBS '08: 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 943-946)
43. Vaknin G., DiScenna P.G., and Teyler T.J. A method for calculating current source density (CSD) analysis without resorting to recording sites outside the sampling volume. Journal of Neuroscience Methods 24 (1988) 131-135
44. Wirth C., and Lüscher H.R. Spatiotemporal evolution of excitation and inhibition in the rat barrel cortex investigated with multielectrode arrays. Journal of Neurophysiology 91 (2004) 1635-1647