Directed coupling in local field potentials of macaque V4 during visual short-term memory revealed by multivariate autoregressive models

Frontiers in Computational Neuroscience

Volumn 4, Issue , 2010, Pages

  Hoerzer, Gregor M ^a   Liebe, Stefanie ^b   Schloegl, Alois ^a   Logothetis, Nikos K ^b   Rainer, Gregor ^b,c  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^b MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^c UNIVERSITY OF FRIBOURG   (Switzerland)

Author keywords

Local field potential; Macaque monkey; Multi channel recordings; Multivariate autoregressive model; Partial directed coherence; Theta frequency range; V4; Visual short term memory

Indexed keywords

LOCAL FIELD POTENTIALS; MACAQUE MONKEYS; MULTI-CHANNEL RECORDING; MULTIVARIATE AUTOREGRESSIVE MODELS; PARTIAL DIRECTED COHERENCE; SHORT TERM MEMORY; THETA FREQUENCY; V4;

BRAIN; ELECTROPHYSIOLOGY; NEURAL NETWORKS;

INDEPENDENT COMPONENT ANALYSIS;

ANIMAL EXPERIMENT; ARTICLE; BRAIN ASYMMETRY; BRAIN ELECTROPHYSIOLOGY; BRAIN FUNCTION; ELECTRIC POTENTIAL; MACACA; MATHEMATICAL COMPUTING; MULTICHANNEL RECORDER; MULTIVARIATE AUTOREGRESSIVE MODEL; NERVE CELL NETWORK; NONHUMAN; POWER SPECTRUM; SHORT TERM MEMORY; STATISTICAL MODEL; TASK PERFORMANCE; THETA RHYTHM; VISUAL MEMORY;

EID: 79957459640     PISSN: 16625188     EISSN: None     Source Type: Journal    
DOI: 10.3389/fncom.2010.00014     Document Type: Article

References (65)

1. Aertsen, A., and Arndt, M. (1989). Response synchronization in the visual cortex. Curr. Opin. Neurobiol. 3, 586-594.
2. Akaike, H. (1974). A new look at the statistical model identification. IEEE Trans. Automat. Contr. 19, 716-723.
3. Anderson, K. L., Rajagovindan, R., Ghacibeh, G. A., Meador, K. J., and Ding, M. (2009). Theta oscillations mediate interaction between prefrontal cortex and medial temporal lobe in human memory. Cereb. Cortex (in press). doi: 10.1093/cercor/bhp223
4. Baccala, L., and Sameshima, K. (2001). Partial directed coherence: a new concept in neural structure determination. Biol. Cybern. 84, 463-474.
5. Baccala, L., Sameshima, K., and Takahashi, D. (2007). Generalized Partial Directed Coherence. 15th International Conference on Digital Signal Processing, 2007, Cardiff, 163-166.
6. Bollimunta, A., Chen, Y., Schroeder, C., and Ding, M. (2008). Neuronal mechanisms of cortical alpha oscillations in awake-behaving macaques. J. Neurosci. 28, 9976-9988.
7. Bollimunta, A., Chen, Y., Schroeder, C., and Ding, M. (2009). Characterizing oscillatory cortical networks with Granger causality. in Coherent Behavior in Neuronal Networks, eds K. Josić, J. Rubin, M. Matías, and R. Romo (New York: Springer), 169-189. doi: 10.1007/978-1-4419-0389-1_9.
8. Bressler, S. L., Ding, M., and Yang, W. (1999). Investigation of cooperative cortical dynamics by multivariate autoregressive modeling of event-related local field potentials. Neurocomputing 26-27, 625-631.
9. Bressler, S. L., Richter, C. G., Chen, Y., and Ding, M. (2007). Cortical functional network organization from autoregressive modeling of local field potential oscillations. Stat. Med. 26, 3875-3885.
10. Brovelli, A., Ding, M., Ledberg, A., Chen, Y., Nakamura, R., and Bressler, S. L. (2004). Beta oscillations in a largescale sensorimotor cortical network: directional influences revealed by Granger causality. Proc. Natl. Acad. Sci. U.S.A. 101, 9849-9854.
11. Buzsaki, G. (2005). Theta rhythm of navigation: link between path integration and landmark navigation, episodic and semantic memory. Hippocampus 15, 827-840.
12. Buzsaki, G. (2006). Rhythms of the Brain. New York: Oxford University Press.
13. Buzsaki, G., and Draguhn, A. (2004). Neuronal oscillations in cortical networks. Science 204, 1926-1929.
14. Chen, Y., Bressler, S. L., and Ding, M. (2006). Frequency decomposition of conditional Granger causality and application to multivariate neural field potential data. J. Neurosci. Methods 150, 228-237.
15. Cui, J., Xu, L., Bressler, S. M. D., and Liang, H. (2008). Bsmart: a Matlab/C toolbox for analysis of multichannel neural time series. Neural Netw. 21, 1094-1104.
16. Ding, M., Bressler, S. L., Yang, W., and Liang, H. (2000). Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modelling: data preprocessing, model validation, and variability assessment. Biol. Cybern. 83, 35-45.
17. Efron, B., and Tibshirani, R. J. (1993). An Introduction to the Bootstrap. New York: Chapman and Hall.
18. Frien, A., and Eckhorn, R. (2000). Functional coupling shows stronger stimulus dependency for fast oscillations than for low frequency components in striate cortex of awake monkey. Eur. J. Neurosci. 12, 1466-1478.
19. Fries, P. (2005). A mechanism for cognitive dynamics: neuronal communication through neuronal coherence. Trends Cogn. Sci. 9, 474-480.
20. Fries, P., Reynolds, G., Rorie, A., and Desimone, R. (2001). Modulation of oscillatory neuronal synchronization by selective visual attention. Science 291, 1560-1563.
21. Gail, A., Brinksmeyer, H., and Eckhorn, R. (2004). Perception-related modulations of local field potential power and coherence in primary visual cortex of the awake monkey during binocular rivalry. Cereb. Cortex 14, 300-313.
22. Gourevitch, B., Le Bouquin-Jeannes, R., and Faucon, G. (2006). Linear and nonlinear causality between signals: methods, examples and neurophysiological applications. Biol. Cybern. 95, 349-369.
23. Graimann, B., and Pfurtscheller, G. (2006). Quantification and visualization of event-related changes in oscillatory brain activity in the time-frequency domain. Prog. Brain Res. 159, 79-97.
24. Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37, 424-438.
25. Jachan, M., Henschel, K., Nawrath, J., Schad, A., Timmer, J., and Schelter, B. (2009). Inferring direct directedinformation flow from multivariate nonlinear time series. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 80.011138-1-011138-5. doi: 10.1103/PhysRevE.80.011138
26. Kaminski, M., and Blinowska, K. (1991). A new method of the description of the information flow in brain structures. Biol. Cybern. 65, 203-210.
27. Kayser, C., and Logothetis, N. K. (2009). Directed interactions between auditory and superior temporal cortices and their role in sensory integration. Front. Integr. Neurosci. 3:7. doi: 10.3389/neuro.07.007.2009.
28. Keil, A., Gruber, T., and Müller, M. (2001). Functional correlates of macroscopic high-frequency brain activity in the human visual system. Neurosci. Biobehav. Rev. 25, 527-534.
29. Klimesch, W. (1999). EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res. Rev. 29, 169-195.
30. Kus, R., Kaminski, M., and Blinowska, K. J. (2004). Determination of EEG activity propagation: pair-wise versus multichannel estimate. IEEE Trans. Biomed. Eng. 51, 1501-1510.
31. Lachaux, J.-P., Rodriguez, E., Le Van Quyen, M., Lutz, A., Martinerie, J., and Varela, F.J. (2000). Studying single-trials of phase synchronous activity in the brain. Int. J. Bifurcat. Chaos 10, 2429-2439.
32. Lachaux, J.-P., Rodriguez, E., Martinerie, J., and Varela, F. J. (1999). Measuring phase synchrony in brain signals. Hum. Brain Mapp. 8, 194-208.
33. Lee, H., Simpson, G., Logothetis, N., and Rainer, G. (2005). Phase locking of single neuron activity to theta oscillations during working memory in monkey extrastriate visual cortex. Neuron 45, 147-156.
34. Liang, H., Bressler, S. L., Ding, M., Desimone, R., and Fries, P. (2003). Temporal dynamics of attentionmodulated neuronal synchronization in macaque v4. Neurocomputing 52-54, 481-487.
35. Liang, H., Ding, M., and Bressler, S. L. (2000). On the tracking of dynamic functional relations in monkey cerebral cortex. Neurocomputing 32-33, 891-896.
36. Liang, H., Ding, M., and Bressler, S. L. (2001). Temporal dynamics of information flow in the cerebral cortex. Neurocomputing 38-40, 1429-1435.
37. Liebe, S., Fischer, E., Logothetis, N. K., and Rainer, G. (2009). Color and shape interactions in the recognition of natural scenes by human and monkey observers. J. Vis. 9, 1-16.
38. Marple, S. L. (1987). Digital Spectral Analysis with Applications. Englewood Cliffs: Prentice Hall.
39. Mizuseki, K., Sirota, A., Pastalkova, E., and Buzsaki, G. (2000). Theta oscillations provide temporal windows for local circuit computation in the entorhinal-hippocampal loop. Neuron 64, 267-280.
40. Montemurro, M., Rasch, M., Murayama, Y., Logothetis, N., and Panzeri, S. (2008). Phase-of-firing coding of natural visual stimuli in primary visual cortex. Curr. Biol. 18, 375-380.
41. Murthy, V., and Fetz, E. (1992). Coherent 25-25-hz oscillations in the sensorimotor cortex of awake behaving monkeys. Proc. Natl. Acad. Sci. U.S.A. 15, 5670-5674.
42. Nunez, P. L., Silberstein, R. B., Shi, Z., Carpenter, M. R., Srinivasan, R., Tucker, D. M., Doran, S. M., Cadusch, P. J., and Wijesinghe, R. S. (1999). EEG coherency II: experimental comparisons of multiple measures. Clin. Neurophysiol. 110, 469-486.
43. Nunez, P. L., Srinivasan, R., Westdorp, A. F., Wijesinghe, R. S., Tucker, D. M., Silberstein, R. B., and Cadusch, P. J. (1997). EEG coherency I: statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales. Electroencephalogr. Clin. Neurophysiol. 103, 499-515.
44. Okeefe, J. (1993). Hippocampus, theta and spatial memory. Curr. Opin. Neurobiol. 3, 917-924.
45. Pereda, E., Quiroga, R. Q., and Bhattacharya, J. (2005). Nonlinear multivariate analysis of neurophysiological signals. Prog. Neurobiol. 77, 1-37.
46. Pesaran, B., Pezaris, J., Sahani, M., Mitra, P., and Andersen, R. (2002). Temporal structure in neuronal activity during working memory in macaque parietal cortex. Nat. Neurosci. 5, 805-811.
47. Porcaro, C., Zappasodi, F., Rossini, P. M., and Tecchio, F. (2009). Choice of multivariate autoregressive model order affecting real network functional connectivity estimate. Clin. Neurophysiol. 120, 436-448.
48. Raghavachari, S., Kahana, M., Rizzuto, D., Caplan, J., Kirschen, M., Bourgeois, B., Madsen, J., and Lisman, J. (2001). Gating of human theta oscillations by a working memory task. J. Neurosci. 21, 3175-3183.
49. Raghavachari, S., Lisman, J., Tully, M., Madsen, J., Bromfield, E., and Kahana, M. (2006). Theta oscillations in human cortex during a working-memory task: evidence for local generators. J. Neurophysiol. 95, 1630-1638.
50. Rainer, G., Lee, H., Simpson, G., and Logothetis, N. (2004). Workingmemory related theta (4-7 Hz) frequency oscillations observed in monkey extrastriate visual cortex. Neurocomputing 58-60. doi: 10.1016/j.neucom.2004.01.153
51. Salinas, E., and Sejnowski, T. (2001). Correlated neuronal activity and the flow of neuronal information. Nat. Rev. Neurosci. 2, 539-550.
52. Schelter, B. (2009). Assessing the strength of directed influences among neural signals using renormalized partial directed coherence. J. Neurosci. Methods 179, 121-130.
53. Schlögl, A. (2000). The Electroencephalogram and the Adaptive Autoregressive Model: Theory and Applications. Aachen: Shaker Verlag.
54. Schlögl, A. (2006). A comparison of multivariate autoregressive estimators. Signal Processing 86, 2426-2429. Special Section: Signal Processing in UWB Communications.
55. Schlögl, A., and Brunner, C. (2008). BioSig: a free and open source software library for BCI research. Computer 41, 44-50.
56. Schlögl, A., and Supp, G. (2006). Analyzing event-related EEG data with multivariate autoregressive parameters. Prog. Brain Res. 91, 135-147.
57. Schwarz, G. (1978). Estimating the dimension of a model. Ann. Stat. 6, 461-464.
58. Siapas, A., Lubenov, E., and Wilson, M. (2005). Prefrontal phaselocking to hippocampal theta oscillations. Neuron 46, 141-151.
59. Stevenson, I., Rebesco, J., Miller, L., and Körding, K. (2008). Inferring functional connections between neurons. Curr. Opin. Neurobiol. 18, 582-588.
60. Sun, X. (2008). "Assessing nonlinear Granger causality from multivariate time series," in ECML PKDD'08: Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II (Berlin/Heidelberg: Springer), 440-455.
61. Supp, G. G., Schlögl, A., Trujillo-Barreto, N., Müller, M. M., and Gruber, T. (2007). Directed cortical information flow during human object recognition: analyzing induced EEG gamma-band responses in brain's source space. PLoS ONE 2, e684. doi: 10.1371/journal.pone.0000684.
62. Tallon-Baudry, C. (2009). The roles of gamma band oscillatory synchrony in human visual cognition. Front. Biosci. 14, 321-332.
63. Tallon-Baudry, C., and Bertrand, O. (1999). Oscillatory gamma activity in humans and its role in object representation. Trends Cogn. Sci. (Regul. Ed.) 3, 151-162.
64. Uhlhaas, P., Pipa, G., Lima, B., Melloni, L., Neuenschwander, S., Nikolic, D., and Singer, W. (2009). Neural synchrony in cortical networks: history, concept and current status. Front. Integr. Neurosci. 3:17. doi: 10.3389/neuro.07.017.2009.
65. Zetterberg, L. (1969). Estimation of parameters for a linear difference equation with application to EEG analysis. Math. Biosci. 5, 227-275.