On the similarity of functional connectivity between neurons estimated across timescales

PLoS ONE

Volumn 5, Issue 2, 2010, Pages

  Stevenson, Ian H ^a   Körding, Konrad P ^b  

^a REHABILITATION INSTITUTE OF CHICAGO   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CALCIUM ION;

ARTICLE; CORRELATION ANALYSIS; ELECTRIC POTENTIAL; ELECTRODE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMICS; HUMAN; NERVE CELL NETWORK; NEUROSCIENCE; SIMULATION; SPIKE WAVE; TIME; ACTION POTENTIAL; ALGORITHM; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; CYTOLOGY; EVOKED MUSCLE RESPONSE; MACACA; MOTOR CORTEX; NERVE CELL; NERVE TRACT; PHYSIOLOGY; PSYCHOMOTOR PERFORMANCE;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; COMPUTER SIMULATION; EVOKED POTENTIALS, MOTOR; MACACA MULATTA; MODELS, NEUROLOGICAL; MOTOR CORTEX; NEURAL PATHWAYS; NEURONS; PSYCHOMOTOR PERFORMANCE; TIME FACTORS;

EID: 77949519863     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0009206     Document Type: Article

References (55)

1. Friston KJ (2005) Models of brain function in neuroimaging. Annual Review of Psychology 56: 57-87.
2. Stevenson IH, Rebesco JM, Miller LE, Körding KP (2008) Inferring functional connections between neurons. Current Opinion in Neurobiology 18: 582-588.
3. Hagmann P, Cammoun L, Gigandet X, Meuli R, Honey CJ, et al. (2008) Mapping the Structural Core of Human Cerebral Cortex. PLoS Biol 6: e159.
4. Honey CJ, Kötter R, Breakspear M, Sporns O (2007) Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proceedings of the National Academy of Sciences 104: 10240.
5. Pillow JW, Shlens J, Paninski L, Sher A, Litke AM, et al. (2008) Spatio-temporal correlations and visual signalling in a complete neuronal population. Nature 454: 995-999.
6. Okatan M, Wilson MA, Brown EN (2005) Analyzing Functional Connectivity Using a Network Likelihood Model of Ensemble Neural Spiking Activity. Neural Computation 17: 1927-1961.
7. Truccolo W, Eden UT, Fellows MR, Donoghue JP, Brown EN (2005) A Point Process Framework for Relating Neural Spiking Activity to Spiking History, Neural Ensemble, and Extrinsic Covariate Effects. Journal of Neurophysiology 93: 1074-1089.
8. Kwan AC (2008) What can population calcium imaging tell us about neural circuits? Journal of Neurophysiology 100: 2977.
9. Brovelli A, Ding M, Ledberg A, Chen Y, Nakamura R, et al. (2004) Beta oscillations in a large-scale sensorimotor cortical network: Directional influences revealed by Granger causality. Proceedings of the National Academy of Sciences 101: 9849-9854.
10. Stephan KE, Harrison LM, Penny WD, Friston KJ (2004) Biophysical models of fMRI responses. Current Opinion in Neurobiology 14: 629-635.
11. Callahan CA, Yoshikawa S, Thomas JB (1998) Tracing axons. Current Opinion in Neurobiology 8: 582-586.
12. Köbbert C, Apps R, Bechmann I, Lanciego JL, Mey J, et al. (2000) Current concepts in neuroanatomical tracing. Progress in Neurobiology 62: 327-351.
13. Kuypers HG, Ugolini G (1990) Viruses as transneuronal tracers. Trends Neurosci 13: 71-75.
14. Lipski J (1981) Antidromic activation of neurones as an analytic tool in the study of the central nervous system. J Neurosci Methods 4: 1-32.
15. Denis Le Bihan MD, Mangin JF, Poupon C, Clark CA, Pappata S, et al. (2001) Diffusion Tensor Imaging: Concepts and Applications. JOURNAL OF MAGNETIC RESONANCE IMAGING 13: 534-546.
16. Logothetis NK, Pauls J, Augath M, Trinath T, Oeltermann A (2001) Neurophysiological investigation of the basis of the fMRI signal. Nature 412: 150-157.
17. Mukamel R, Gelbard H, Arieli A, Hasson U, Fried I, et al. (2005) Coupling Between Neuronal Firing, Field Potentials, and fMRI in Human Auditory Cortex. Science 309: 951-954.
18. Donoghue JP, Sanes JN, Hatsopoulos NG, Gaal G (1998) Neural discharge and local field potential oscillations in primate motor cortex during voluntary movements. Journal of Neurophysiology 79: 159-173.
19. Nir Y, Fisch L, Mukamel R, Gelbard-Sagiv H, Arieli A, et al. (2007) Coupling between neuronal firing rate, gamma LFP, and BOLD fMRI is related to interneuronal correlations. Current Biology 17: 1275-1285.
20. Heeger DJ, Ress D (2002) What does fMRI tell us about neuronal activity? Nature Reviews Neuroscience 3: 142-151.
21. Katzner S, Nauhaus I, Benucci A, Bonin V, Ringach DL, et al. (2009) Local Origin of Field Potentials in Visual Cortex. Neuron 61: 35-41.
22. Belitski A, Gretton A, Magri C, Murayama Y, Montemurro MA, et al. (2008) Low-frequency local field potentials and spikes in primary visual cortex convey independent visual information. Journal of Neuroscience 28: 5696.
23. Ding M, Chen Y, Bressler SL (2006) Granger Causality: Basic Theory and Application to Neuroscience. Arxiv preprint q-bio/0608035.
24. Smetters D, Majewska A, Yuste R (1999) Detecting action potentials in neuronal populations with calcium imaging. Methods: A Companion to Methods Enzymol 2: 215-221.
25. Vogelstein J, Watson B, Packer A, Jedynak B, Yuste R, et al. (2008) Spike inference from calcium imaging using sequential monte carlo methods. Biophys J In Press Find this article online.
26. Yaksi E, Friedrich RW (2006) Reconstruction of firing rate changes across neuronal populations by temporally deconvolved Ca2+ imaging. Nature Methods 3: 377-383.
27. Glover GH (1999) Deconvolution of impulse response in event-related BOLD fMRI. Neuroimage 9: 416-429.
28. Brown EN, Barbieri R, Ventura V, Kass RE, Frank LM (2002) The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis. MIT Press. pp 325-346.
29. Pillow J (2007) Likelihood-Based Approaches to Modeling the Neural Code. In: Kenji Doya SI, AlexandrePouget, Rajesh PN, Rao, eds. Bayesian Brain: Probabilistic Approaches to Neural Coding: MIT Press. pp 53-70.
30. Büchel C, Coull JT, Friston KJ (1999) The Predictive Value of Changes in Effective Connectivity for Human Learning. Science 283: 1538.
31. Geweke J (1982) Measurement of linear dependence and feedback between multiple time series. J Am Stat Assoc 77: 304-324.
32. Chen Y, Bressler SL, Ding M (2006) Frequency decomposition of conditional Granger causality and application to multivariate neural field potential data. Journal of Neuroscience Methods 150: 228-237.
33. Guo S, Wu J, Ding M, Feng J (2008) Uncovering Interactions in the Frequency Domain. PLoS Computational Biology 4.
34. Roebroeck A, Formisano E, Goebel R (2005) Mapping directed influence over the brain using Granger causality and fMRI. Neuroimage 25: 230-242.
35. Goebel R, Roebroeck A, Kim DS, Formisano E (2003) Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping. Magnetic Resonance Imaging 21: 1251-1261.
36. Tetzlaff T, Rotter S, Stark E, Abeles M, Aertsen A, et al. (2008) Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics. Neural Computation 20: 2133-2184.
37. Attias H, Schreiner CE (1997) Temporal low-order statistics of natural sounds. Advances in Neural Information Processing Systems 9.
38. Osborne LC, Bialek W, Lisberger SG (2004) Time Course of Information about Motion Direction in Visual Area MT of Macaque Monkeys. Journal of Neuroscience 24: 3210-3222.
39. Chen CC, Kiebel SJ, Friston KJ (2008) Dynamic causal modelling of induced responses. NeuroImage 41: 1293-1312.
40. Lakatos P, Shah AS, Knuth KH, Ulbert I, Karmos G, et al. (2005) An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex. Journal of Neurophysiology 94: 1904-1911.
41. Kiebel SJ, Daunizeau J, Friston KJ (2008) A hierarchy of time-scales and the brain. PLoS Computational Biology 4.
42. Felleman DJ, Van Essen DC (1991) Distributed hierarchical processing in the primate cerebral cortex. Cerebral cortex 1: 1-47.
43. Botvinick MM (2008) Hierarchical models of behavior and prefrontal function. Trends in Cognitive Sciences 12: 201-208.
44. Kulkarni JE, Paninski L (2007) Common-input models for multiple neural spiketrain data. Network: Computation in Neural Systems 18: 375-407.
45. Kakei S, Hoffman DS, Strick PL (1999) Muscle and movement representations in the primary motor cortex. Science 285: 2136.
46. Hoover JE, Strick PL (1999) The organization of cerebellar and basal ganglia outputs to primary motor cortex as revealed by retrograde transneuronal transport of herpes simplex virus type 1. Journal of Neuroscience 19: 1446-1463.
47. Averbeck BB, Lee D (2004) Coding and transmission of information by neural ensembles. Trends in Neurosciences 27: 225-230.
48. Leopold DA, Murayama Y, Logothetis NK (2003) Very slow activity fluctuations in monkey visual cortex: implications for functional brain imaging. Cerebral Cortex 13: 422-433.
49. Reich DS, Mechler F, Victor JD (2001) Independent and redundant information in nearby cortical neurons.. pp 2566-2568.
50. Averbeck BB, Lee D (2003) Neural noise and movement-related codes in the macaque supplementary motor area. Journal of Neuroscience 23: 7630-7641.
51. Friston K (2009) Causal modelling and brain connectivity in functional magnetic resonance imaging. PLoS Biol 7: e1000033.
52. Friston KJ (2000) The labile brain. I. Neuronal transients and nonlinear coupling. Philosophical Transactions of the Royal Society B: Biological Sciences 355: 215.
53. Pereda E, Quiroga RQ, Bhattacharya J (2005) Nonlinear multivariate analysis of neurophysiological signals. Progress in Neurobiology 77: 1-37.
54. Stephan KE, Kasper L, Harrison LM, Daunizeau J, den Ouden HEM, et al. (2008) Nonlinear dynamic causal models for fMRI. NeuroImage 42: 649-662.
55. Hatsopoulos N, Joshi J, O'Leary JG (2004) Decoding Continuous and Discrete Motor Behaviors Using Motor and Premotor Cortical Ensembles. Journal of Neurophysiology 92: 1165-1174.