Discovering oscillatory interaction networks with M/EEG: Challenges and breakthroughs

Trends in Cognitive Sciences

Volumn 16, Issue 4, 2012, Pages 219-230

  Palva, Satu ^a   Palva, J Matias ^a  

^a UNIVERSITY OF HELSINKI   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; COGNITIVE SYSTEMS; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY;

FUNCTIONALLY DISTRIBUTED; NETWORK COMMUNICATIONS; NEURONAL ACTIVITIES; NEURONAL ASSEMBLIES; NEURONAL OSCILLATIONS; NEURONAL PROCESSING; OSCILLATORY INTERACTION; SOURCE RECONSTRUCTION;

NEURONS;

BRAIN; BRAIN MAPPING; BRAIN REGION; CELL INTERACTION; CELLULAR DISTRIBUTION; CLUSTER ANALYSIS; COGNITION; CORTICAL SYNCHRONIZATION; ELECTROENCEPHALOGRAM; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; MAGNETOENCEPHALOGRAPHY; NERVE CELL; NERVE CELL NETWORK; OSCILLATORY POTENTIAL; PERCEPTION; REVIEW; SIGNAL NOISE RATIO; SIGNAL TRANSDUCTION;

EID: 84859107675     PISSN: 13646613     EISSN: 1879307X     Source Type: Journal    
DOI: 10.1016/j.tics.2012.02.004     Document Type: Review

References (89)

1. Hubel D.H., Wiesel T.N. Receptive fields and functional architecture of monkey striate cortex. J. Physiol. 1968, 195:215-243.
2. Grill-Spector K., Malach R. The human visual cortex. Annu. Rev. Neurosci. 2004, 27:649-677.
3. Rauschecker J.P., Scott S.K. Maps and streams in the auditory cortex: nonhuman primates illuminate human speech processing. Nat. Neurosci. 2009, 12:718-724.
4. Leaver A.M., Rauschecker J.P. Cortical representation of natural complex sounds: effects of acoustic features and auditory object category. J. Neurosci. 2010, 30:7604-7612.
5. Riesenhuber M., Poggio T. Neural mechanisms of object recognition. Curr. Opin. Neurobiol. 2002, 12:162-168.
6. Singer W., Gray C.M. Visual feature integration and the temporal correlation hypothesis. Annu. Rev. Neurosci. 1995, 18:555-586.
7. Prabhakaran V., et al. Integration of diverse information in working memory within the frontal lobe. Nat. Neurosci. 2000, 3:85-90.
8. Marois R., et al. The neural fate of consciously perceived and missed events in the attentional blink. Neuron 2004, 41:465-472.
9. Corbetta M., Shulman G.L. Control of goal-directed and stimulus-driven attention in the brain. Nat. Rev. Neurosci. 2002, 3:201-215.
10. Kastner S., Ungerleider L.G. Mechanisms of visual attention in the human cortex. Annu. Rev. Neurosci. 2000, 23:315-341.
11. Singer W. Consciousness and the binding problem. Ann. N. Y. Acad. Sci. 2001, 929:123-146.
12. Varela F., et al. The brainweb: phase synchronization and large-scale integration. Nat. Rev. Neurosci. 2001, 2:229-239.
13. König P., et al. Integrator or coincidence detector? The role of the cortical neuron revisited. Trends Neurosci. 1996, 19:130-137.
14. Singer W. Neuronal synchrony: a versatile code for the definition of relations?. Neuron 1999, 24:49-65. 111-125.
15. Uhlhaas P.J., et al. Neural synchrony in cortical networks: history, concept and current status. Front. Integr. Neurosci. 2009, 3:17.
16. Ray S., Maunsell J.H. Differences in gamma frequencies across visual cortex restrict their possible use in computation. Neuron 2010, 67:885-896.
17. Fries P., et al. Synchronization of oscillatory responses in visual cortex correlates with perception in interocular rivalry. Proc. Natl. Acad. Sci. U.S.A. 1997, 94:12699-12704.
18. Womelsdorf T., Fries P. The role of neuronal synchronization in selective attention. Curr. Opin. Neurobiol. 2007, 17:154-160.
19. Engel A.K., et al. Dynamic predictions: oscillations and synchrony in top-down processing. Nat. Rev. Neurosci. 2001, 2:704-716.
20. Chalk M., et al. Attention reduces stimulus-driven gamma frequency oscillations and spike field coherence in V1. Neuron 2010, 66:114-125.
21. Womelsdorf T., et al. Modulation of neuronal interactions through neuronal synchronization. Science 2007, 316:1609-1612.
22. Schroeder C.E., Lakatos P. Low-frequency neuronal oscillations as instruments of sensory selection. Trends Neurosci. 2009, 32:9-18.
23. Pastor M.A., et al. Activation of human cerebral and cerebellar cortex by auditory stimulation at 40Hz. J. Neurosci. 2002, 22:10501-10506.
24. Fries P. A mechanism for cognitive dynamics: neuronal communication through neuronal coherence. Trends Cogn. Sci. 2005, 9:474-480.
25. Engel A.K., Singer W. Temporal binding and the neural correlates of sensory awareness. Trends Cogn. Sci. 2001, 5:16-25.
26. Brookes M.J., et al. Investigating the electrophysiological basis of resting state networks using magnetoencephalography. Proc. Natl. Acad. Sci. U.S.A. 2011, 108:16783-16788.
27. Power J.D., et al. Functional network organization of the human brain. Neuron 2011, 72:665-678.
28. Melloni L., et al. Synchronization of neural activity across cortical areas correlates with conscious perception. J. Neurosci. 2007, 27:2858-2865.
29. Rodriguez E., et al. Perception's shadow: long-distance synchronization of human brain activity. Nature 1999, 397:430-433.
30. Palva J.M., et al. Phase synchrony among neuronal oscillations in the human cortex. J. Neurosci. 2005, 25:3962-3972.
31. Doesburg S.M., et al. From local inhibition to long-range integration: a functional dissociation of alpha-band synchronization across cortical scales in visuospatial attention. Brain Res. 2009, 1303:97-110.
32. Kitzbichler M.G., et al. Cognitive effort drives workspace configuration of human brain functional networks. J. Neurosci. 2011, 31:8259-8270.
33. Freunberger R., et al. Alpha phase coupling reflects object recognition. Neuroimage 2008, 42:928-935.
34. Sauseng P., et al. Fronto-parietal EEG coherence in theta and upper alpha reflect central executive functions of working memory. Int. J. Psychophysiol. 2005, 57:97-103.
35. Schoffelen J.M., Gross J. Source connectivity analysis with MEG and EEG. Hum. Brain Mapp. 2009, 30:1857-1865.
36. Gross J., et al. Modulation of long-range neural synchrony reflects temporal limitations of visual attention in humans. Proc. Natl. Acad. Sci. U.S.A. 2004, 101:13050-13055.
37. Kujala J., et al. Phase coupling in a cerebro-cerebellar network at 8-13Hz during reading. Cereb. Cortex 2007, 17:1476-1485.
38. Siegel M., et al. Neuronal synchronization along the dorsal visual pathway reflects the focus of spatial attention. Neuron 2008, 60:709-719.
39. Lou H.C., et al. Coherence in consciousness: paralimbic gamma synchrony of self-reference links conscious experiences. Hum. Brain Mapp. 2010, 31:185-192.
40. Kveraga K., et al. Early onset of neural synchronization in the contextual associations network. Proc. Natl. Acad. Sci. U.S.A. 2011, 108:3389-3394.
41. Gaillard R., et al. Converging intracranial markers of conscious access. PLoS Biol. 2009, 7:e61.
42. Cohen M.X., et al. Top-down-directed synchrony from medial frontal cortex to nucleus accumbens during reward anticipation. Hum. Brain Mapp. 2012, 33:246-252.
43. Fell J., et al. Phase-locking within human mediotemporal lobe predicts memory formation. Neuroimage 2008, 43:410-419.
44. Axmacher N., et al. Interactions between medial temporal lobe, prefrontal cortex, and inferior temporal regions during visual working memory: a combined intracranial EEG and functional magnetic resonance imaging study. J. Neurosci. 2008, 28:7304-7312.
45. David O., et al. Estimation of neural dynamics from MEG/EEG cortical current density maps: application to the reconstruction of large-scale cortical synchrony. IEEE Trans. Biomed. Eng. 2002, 49:975-987.
46. Pollok B., et al. Modality specific functional interaction in sensorimotor synchronization. Hum. Brain Mapp. 2009, 30:1783-1790.
47. Pollok B., et al. The cerebral oscillatory network associated with auditorily paced finger movements. Neuroimage 2005, 24:646-655.
48. Hipp J.F., et al. Oscillatory synchronization in large-scale cortical networks predicts perception. Neuron 2011, 69:387-396.
49. Palva J.M., et al. Neuronal synchrony reveals working memory networks and predicts individual memory capacity. Proc. Natl. Acad. Sci. U.S.A. 2010, 107:7580-7585.
50. Palva S., et al. Graph properties of synchronized cortical networks during visual working memory maintenance. Neuroimage 2010, 49:3257-3268.
51. Bullmore E., Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 2009, 10:186-198.
52. Rubinov M., Sporns O. Complex network measures of brain connectivity: uses and interpretations. Neuroimage 2010, 52:1059-1069.
53. Watts D.J., Strogatz S.H. Collective dynamics of 'small-world' networks. Nature 1998, 393:440-442.
54. Bassett D.S., et al. Adaptive reconfiguration of fractal small-world human brain functional networks. Proc. Natl. Acad. Sci. U.S.A. 2006, 103:19518-19523.
55. Bassett D.S., et al. Hierarchical organization of human cortical networks in health and schizophrenia. J. Neurosci. 2008, 28:9239-9248.
56. Achard S., et al. Fractal connectivity of long-memory networks. Phys. Rev. E: Stat. Nonlin. Soft Matter Phys. 2008, 77:036104.
57. Bassett D.S., et al. Cognitive fitness of cost-efficient brain functional networks. Proc. Natl. Acad. Sci. U.S.A. 2009, 106:11747-11752.
58. Micheloyannis S., et al. The influence of ageing on complex brain networks: a graph theoretical analysis. Hum. Brain Mapp. 2009, 30:200-208.
59. Stam C.J. Functional connectivity patterns of human magnetoencephalographic recordings: a 'small-world' network?. Neurosci. Lett. 2004, 355:25-28.
60. Antiqueira L., et al. Estimating complex cortical networks via surface recordings - a critical note. Neuroimage 2010, 53:439-449.
61. Schlee W., et al. Mapping cortical hubs in tinnitus. BMC Biol. 2009, 7:80.
62. Reynolds J.H., Chelazzi L. Attentional modulation of visual processing. Annu. Rev. Neurosci. 2004, 27:611-647.
63. Corbetta M., et al. The reorienting system of the human brain: from environment to theory of mind. Neuron 2008, 58:306-324.
64. Fox M.D., et al. The global signal and observed anticorrelated resting state brain networks. J. Neurophysiol. 2009, 101:3270-3283.
65. Dosenbach N.U., et al. A dual-networks architecture of top-down control. Trends Cogn. Sci. 2008, 12:99-105.
66. Dehaene S., et al. A neuronal model of a global workspace in effortful cognitive tasks. Proc. Natl. Acad. Sci. U.S.A. 1998, 95:14529-14534.
67. Sergent C., Dehaene S. Neural processes underlying conscious perception: experimental findings and a global neuronal workspace framework. J. Physiol. Paris 2004, 98:374-384.
68. Thut G., et al. Rhythmic TMS causes local entrainment of natural oscillatory signatures. Curr. Biol. 2011, 21:1176-1185.
69. Romei V., et al. Rhythmic TMS over parietal cortex links distinct brain frequencies to global versus local visual processing. Curr. Biol. 2011, 21:334-337.
70. Axmacher N., et al. Cross-frequency coupling supports multi-item working memory in the human hippocampus. Proc. Natl. Acad. Sci. U.S.A. 2010, 107:3228-3233.
71. Canolty R.T., et al. High gamma power is phase-locked to theta oscillations in human neocortex. Science 2006, 313:1626-1628.
72. Voytek B., et al. Shifts in gamma phase-amplitude coupling frequency from theta to alpha over posterior cortex during visual tasks. Front. Hum. Neurosci. 2010, 4:191.
73. Lakatos P., et al. Entrainment of neuronal oscillations as a mechanism of attentional selection. Science 2008, 320:110-113.
74. Sirota A., et al. Entrainment of neocortical neurons and gamma oscillations by the hippocampal theta rhythm. Neuron 2008, 60:683-697.
75. Colgin L.L., et al. Frequency of gamma oscillations routes flow of information in the hippocampus. Nature 2009, 462:353-357.
76. Sauseng P., et al. Brain oscillatory substrates of visual short-term memory capacity. Curr. Biol. 2009, 19:1846-1852.
77. Schack B., et al. Phase synchronization between theta and upper alpha oscillations in a working memory task. Int. J. Psychophysiol. 2005, 57:105-114.
78. Monto S., et al. Very slow EEG fluctuations predict the dynamics of stimulus detection and oscillation amplitudes in humans. J. Neurosci. 2008, 28:8268-8272.
79. Demiralp T., et al. Gamma amplitudes are coupled to theta phase in human EEG during visual perception. Int. J. Psychophysiol. 2007, 64:24-30.
80. Vinck M., et al. An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias. Neuroimage 2011, 55:1548-1565.
81. Truccolo W.A., et al. Trial-to-trial variability of cortical evoked responses: implications for the analysis of functional connectivity. Clin. Neurophysiol. 2002, 113:206-226.
82. Palva S., Palva J.M. New vistas for alpha-frequency band oscillations. Trends Neurosci. 2007, 30:150-158.
83. Tass P., et al. Detection of n:m phase locking from noisy data: application to magnetoencephalography. Phys. Rev. Lett. 1998, 81:3291-3294.
84. Vanhatalo S., et al. Infraslow oscillations modulate excitability and interictal epileptic activity in the human cortex during sleep. Proc. Natl. Acad. Sci. U.S.A. 2004, 101:5053-5057.
85. Palva J.M., Palva S. Roles of multiscale brain activity fluctuations in shaping the variability and dynamics of psychophysical performance. Prog. Brain Res. 2011, 193:335-350.
86. Palva S., Palva J.M. Functional roles of alpha-band phase synchronization in local and large-scale cortical networks. Front. Psychol. 2011, 2:204.
87. Engel A.K., et al. Interhemispheric synchronization of oscillatory neuronal responses in cat visual cortex. Science 1991, 252:1177-1179.
88. Castelo-Branco M., et al. Neural synchrony correlates with surface segregation rules. Nature 2000, 405:685-689.
89. Roelfsema P.R., et al. Visuomotor integration is associated with zero time-lag synchronization among cortical areas. Nature 1997, 385:157-161.