The contribution of electrophysiology to functional connectivity mapping

NeuroImage

Volumn 80, Issue , 2013, Pages 297-306

  Schölvinck, Marieke L ^a   Leopold, David A ^b   Brookes, Matthew J ^c   Khader, Patrick H ^d  

^a ERNST STRÜNGMANN INSTITUTE ESI FOR NEUROSCIENCE IN COOPERATION WITH MAX PLANCK SOCIETY   (Germany)

^b NATIONAL INSTITUTE OF MENTAL HEALTH   (United States)

^c UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^d UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER DISEASE; ARTICLE; ATTENTION DEFICIT DISORDER; BOLD SIGNAL; BRAIN BLOOD FLOW; BRAIN ELECTROPHYSIOLOGY; BRAIN FUNCTION; BRAIN MAPPING; BRAIN METABOLISM; CEREBROVASCULAR ACCIDENT; CONNECTOME; ELECTROCORTICOGRAPHY; ELECTROENCEPHALOGRAPHY; EPILEPSY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HUMAN; MAGNETOENCEPHALOGRAPHY; NERVE CELL NETWORK; NONHUMAN; PRIORITY JOURNAL; RESTING STATE NETWORK;

ANIMALS; BRAIN; CONNECTOME; ELECTROENCEPHALOGRAPHY; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, ANATOMIC; MODELS, NEUROLOGICAL; NERVE NET; SYNAPTIC TRANSMISSION;

EID: 84880326070     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.04.010     Document Type: Article

References (149)

1. Aertsen A.M.H.J., Gerstein G.L. Evaluation of neuronal connectivity: sensitivity of cross-correlation. Brain Res. 1985, 340:341-354.
2. Aguirre G.K., Zarahn E., D'Esposito M. The variability of human, BOLD hemodynamic responses. Neuroimage 1998, 8:360-369.
3. Arfanakis K., Cordes D., Haughton V.M., Moritz C.H., Quigley M.A., Meyerand M.E. Combining independent component analysis and correlation analysis to probe interregional connectivity in fMRI task activation datasets. Magn. Reson. Imaging 2000, 18:921-930.
4. Berkes P., Orbán G., Lengyel M., Fiser J. Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment. Science 2011, 331:83-87.
5. Birbaumer N., Elbert T., Canavan A.G., Rockstroh B. Slow potentials of the cerebral cortex and behavior. Physiol. Rev. 1990, 70:1-41.
6. Biswal B., Yetkin F.Z., Haughton V.M., Hyde J.S. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn. Reson. Imaging 1995, 537-541.
7. Born J., Wilhelm I. System consolidation of memory during sleep. Psychol. Res. 2012, 76:192-203.
8. Braun U., Plichta M.M., Esslinger C., Sauer C., Haddad L., Grimm O., Mier D., Mohnke S., Heinz A., Erk S., Walter H., Seiferth N., Kirsch P., Meyer-Lindenberg A. Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures. Neuroimage 2012, 59:1404-1412.
9. Britz J., Van de Ville D., Michel C.M. BOLD correlates of EEG topography reveal rapid resting-state network dynamics. Neuroimage 2010, 52:1162-1170.
10. Brodbeck V., Kuhn A., Von Wegner F., Morzelewski A., Tagliazucchi E., Borisov S., Michel C.M., Laufs H. EEG microstates of wakefulness and NREM sleep. Neuroimage 2012, 62:2129-2139.
11. Brookes M.J., Hale J.R., Zumer J.M., Stevenson C.M., Francis S.T., Barnes G.R., Owen J.P., Morris P.G., Nagarajan S.S. Measuring functional connectivity using MEG: methodology and comparison with fcMRI. Neuroimage 2011, 56:1082-1104.
12. Brookes M.J., Woolrich M., Luckhoo H., Price D., Hale J.R., Stephenson M.C., Barnes G.R., Smith S.M., Morris P.G. Investigating the electrophysiological basis of resting state networks using magnetoencephalography. Proc. Natl. Acad. Sci. U. S. A. 2011, 108:16783-16788.
13. Brookes M.J., Woolrich M.W., Barnes G.R. Measuring functional connectivity in MEG: a multivariate approach insensitive to linear source leakage. Neuroimage 2012, 63:910-920.
14. Buschman T.J., Miller E.K. Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices. Science 2007, 315:1860-1862.
15. Butz M., Van Ooyen A., Wörgötter F. A model for cortical rewiring following deafferentation and focal stroke. Front. Comput. Neurosci. 2009, 3:1-15.
16. Buzsáki G., Buhl D.L., Harris K.D., Csicsvari J., Czéh B., Morozov A. Hippocampal network patterns of activity in the mouse. Neuroscience 2003, 116:201-211.
17. Buzsáki G., Anastassiou C.A., Koch C. The origin of extracellular fields and currents - EEG, ECoG, LFP and spikes. Nat. Rev. Neurosci. 2012, 13:407-420.
18. Canolty R.T., Ganguly K., Kennerley S.W., Cadieu C.F., Koepsell K., Wallis J.D., Carmena J.M. Oscillatory phase coupling coordinates anatomically dispersed functional cell assemblies. Proc. Natl. Acad. Sci. U. S. A. 2010, 107:17356-17361.
19. Castellanos N.P., Paúl N., Ordóñez V.E., Demuynck O., Bajo R., Campo P., Bilbao A., Ortiz T., Del-Pozo F., Maestú F. Reorganization of functional connectivity as a correlate of cognitive recovery in acquired brain injury. Brain 2010, 133:2365-2381.
20. Castellanos N.P., Bajo R., Cuesta P., Villacorta-Atienza J.A., Paúl N., Garcia-Prieto J., Del-Pozo F., Maestú F. Alteration and reorganization of functional networks: a new perspective in brain injury study. Front. Hum. Neurosci. 2011, 5:1-13.
21. Chang C., Glover G.H. Time-frequency dynamics of resting-state brain connectivity measured with fMRI. Neuroimage 2010, 50:81-98.
22. Corbetta M., Shulman G.L. Control of goal-directed and stimulus-driven attention in the brain. Nat. Rev. Neurosci. 2002, 3:201-215.
23. Cordes D., Haughton V.M., Arfanakis K., Wendt G.J., Turski P.A., Moritz C.H., Quigley M.A., Meyerand M.E. Mapping functionally related regions of brain with functional connectivity MR imaging. Am. J. Neuroradiol. 2000, 21:1636-1644.
24. Coste C.P., Sadaghiani S., Friston K.J., Kleinschmidt A. Ongoing brain activity fluctuations directly account for intertrial and indirectly for intersubject variability in Stroop task performance. Cereb. Cortex 2011, 21:2612-2619.
25. Curto C., Sakata S., Marguet S., Itskov V., Harris K.D. A simple model of cortical dynamics explains variability and state dependence of sensory responses in urethane-anesthetized auditory cortex. J. Neurosci. 2009, 29:10600-10612.
26. Damoiseaux J.S., Greicius M.D. Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity. Brain Struct. Funct. 2009, 213:525-533.
27. De Pasquale F., Della Penna S., Snyder A.Z., Lewis C., Mantini D., Marzetti L., Belardinelli P., Ciancetta L., Pizzella V., Romani G.L., Corbetta M. Temporal dynamics of spontaneous MEG activity in brain networks. Proc. Natl. Acad. Sci. U. S. A. 2010, 107:6040-6045.
28. De Pasquale F., Della Penna S., Snyder A.Z., Marzetti L., Pizzella V., Romani G.L., Corbetta M. A cortical core for dynamic integration of functional networks in the resting human brain. Neuron 2012, 74:753-764.
29. Di Martino A., Scheres A., Margulies D.S., Kelly A.M.C., Uddin L.Q., Shehzad Z., Biswal B., Walters J.R., Castellanos F.X., Milham M.P. Functional connectivity of human striatum: a resting state fMRI study. Cereb. Cortex 2008, 18:2735-2747.
30. Dorn J.D., Ringach D.L. Estimating membrane voltage correlations from extracellular spike trains. J. Neurophysiol. 2003, 89:2271-2278.
31. Dusser de Barenne J. Experimental researches on sensory localization in the cerebral cortex of the monkey (Macacus). Proc. R. Soc. Lond. B 1924, 96:272-291.
32. Ecker A.S., Berens P., Keliris G.A., Bethge M., Logothetis N.K., Tolias A.S. Decorrelated neuronal firing in cortical microcircuits. Science 2010, 327:584-587.
33. Eckhorn R., Bauer R., Jordan W., Brosch M., Kruse W., Munk M., Reitboeck H. Coherent oscillations: a mechanism of feature linking in the visual cortex?. Biol. Cybern. 1988, 60:121-130.
34. Engel A.K., Fries P., Singer W. Dynamic predictions: oscillations and synchrony in top-down processing. Nat. Rev. Neurosci. 2001, 2:704-716.
35. Fair D.A., Schlaggar B.L., Cohen A.L., Miezin F.M., Dosenbach N.U.F., Wenger K.K., Fox M.D., Snyder A.Z., Raichle M.E., Petersen S.E. A method for using blocked and event-related fMRI data to study "resting state" functional connectivity. Neuroimage 2007, 35:396-405.
36. Fiser J., Chiu C., Weliky M. Small modulation of ongoing cortical dynamics by sensory input during natural vision. Nature 2004, 431:573-578.
37. Foster B.L., Parvizi J. Resting oscillations and cross-frequency coupling in the human posteromedial cortex. Neuroimage 2012, 60:384-391.
38. Foster D.J., Wilson M.A. Reverse replay of behavioural sequences in hippocampal place cells during the awake state. Nature 2006, 440:680-683.
39. Fox M.D., Raichle M.E. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat. Rev. Neurosci. 2007, 8:700-711.
40. Fox P.T., Raichle M.E., Mintun M.A., Dence C. Nonoxidative glucose consumption during focal physiologic neural activity. Science 1988, 241:462-464.
41. Fox M.D., Snyder A.Z., Vincent J.L., Corbetta M., Van Essen D.C., Raichle M.E. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc. Natl. Acad. Sci. U. S. A. 2005, 102:9673-9678.
42. Frien A., Eckhorn R. Functional coupling shows stronger stimulus dependency for fast oscillations than for low-frequency components in striate cortex of awake monkey. Eur. J. Neurosci. 2000, 12:1466-1478.
43. Gawne T.J., Richmond B.J. How independent are the messages carried by adjacent inferior temporal cortical neurons?. J. Neurosci. 1993, 13:2758-2771.
44. Gerloff C., Hallett M. Big news from small world networks after stroke. Brain 2010, 133:952-955.
45. Gray C.M., Koenig P., Engel A.K., Singer W. Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties. Nature 1989, 338:334-337.
46. Gregoriou G.G., Gotts S.J., Zhou H., Desimone R. High-frequency, long-range coupling between prefrontal and visual cortex during attention. Science 2009, 324:1207-1210.
47. Greicius M.D., Krasnow B., Reiss A.L., Menon V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc. Natl. Acad. Sci. U. S. A. 2003, 100:253-258.
48. Guggisberg A.G., Honma S.M., Findlay A.M., Dalal S.S., Kirsch H.E., Berger M.S., Nagarajan S.S. Mapping functional connectivity in patients with brain lesions. Ann. Neurol. 2007, 63:193-203.
49. Hall E.L., Woolrich M.W., Thomaz C.E., Morris P.G., Brookes M.J. Using variance information in magnetoencephalography measures of functional connectivity. Neuroimage 2012, 67:203-212.
50. Han F., Caporale N., Dan Y. Reverberation of recent visual experience in spontaneous cortical waves. Neuron 2008, 60:321-327.
51. Handwerker D.A., Ollinger J.M., D'Esposito M. Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses. Neuroimage 2004, 21:1639-1651.
52. Handwerker D.A., Roopchansingh V., Gonzalez-Castillo J., Bandettini P.A. Periodic changes in fMRI connectivity. Neuroimage 2012, 63:1712-1719.
53. Harris K.D., Thiele A. Cortical state and attention. Nat. Rev. Neurosci. 2011, 12:509-523.
54. Hauk O., Wakeman D.G., Henson R. Comparison of noise-normalized minimum norm estimates for MEG analysis using multiple resolution metrics. Neuroimage 2011, 54:1966-1974.
55. He B.J., Raichle M.E. The fMRI signal, slow cortical potential and consciousness. Trends Cogn. Sci. 2009, 13:302-309.
56. He B.J., Snyder A.Z., Zempel J.M., Smyth M.D., Raichle M.E. Electrophysiological correlates of the brain's intrinsic large-scale functional architecture. Proc. Natl. Acad. Sci. U. S. A. 2008, 105:16039-16044.
57. He B.J., Zempel J.M., Snyder A.Z., Raichle M.E. The temporal structures and functional significance of scale-free brain activity. Neuron 2010, 66:353-369.
58. Hesselmann G., Kell C.A., Eger E., Kleinschmidt A. Spontaneous local variations in ongoing neural activity bias perceptual decisions. Proc. Natl. Acad. Sci. U. S. A. 2008, 105:10984-10989.
59. Hesselmann G., Kell C.A., Kleinschmidt A. Ongoing activity fluctuations in hMT+ bias the perception of coherent visual motion. J. Neurosci. 2008, 28:14481-14485.
60. Hillebrand A., Barnes G.R., Bosboom J.L., Berendse H.W., Stam C.J. Frequency-dependent functional connectivity within resting-state networks: an atlas-based MEG beamformer solution. Neuroimage 2012, 59:3909-3921.
61. Hinterberger T., Veit R., Strehl U., Trevorrow T., Erb M., Kotchoubey B., Flor H., Birbaumer N. Brain areas activated in fMRI during self-regulation of slow cortical potentials (SCPs). Exp. Brain Res. 2003, 152:113-122.
62. Hinterberger T., Veit R., Wilhelm B., Weiskopf N., Vatine J.-J., Birbaumer N. Neuronal mechanisms underlying control of a brain-computer interface. Eur. J. Neurosci. 2005, 21:3169-3181.
63. Hipp J.F., Hawellek D.J., Corbetta M., Siegel M., Engel A.K. Large-scale cortical correlation structure of spontaneous oscillatory activity. Nat. Neurosci. 2012, 15:884-890.
64. Honey C.J., Sporns O., Cammoun L., Gigandet X., Thiran J.P., Meuli R., Hagmann P. Predicting human resting-state functional connectivity from structural connectivity. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:2035-2040.
65. Hutchison R.M., Mirsattari S.M., Jones C.K., Gati J.S., Leung L.S. Functional networks in the anesthetized rat brain revealed by independent component analysis of resting-state FMRI. J. Neurophysiol. 2010, 103:3398-3406.
66. Jann K., Dierks T., Boesch C., Kottlow M., Strik W., Koenig T. BOLD correlates of EEG alpha phase-locking and the fMRI default mode network. Neuroimage 2009, 45:903-916.
67. Jost K., Khader P.H., Burke M., Bien S., Rösler F. Frontal and parietal contributions to arithmetic fact retrieval: a parametric analysis of the problem-size effect. Hum. Brain Mapp. 2011, 32:51-59.
68. Jost K., Khader P.H., Düsel P., Richter F.R., Rohde K.B., Bien S., Rösler F. Controlling conflict from interfering long-term memory representations. J. Cogn. Neurosci. 2012, 24:1173-1190.
69. Keilholz S.D., Magnuson M.E., Pan W.-J., Willis M., Thompson G.J. Dynamic properties of functional connectivity in the rodent. Brain Connect. 2012, 1-31.
70. Kenet T., Bibitchkov D., Tsodyks M., Grinvald A., Arieli A. Spontaneously emerging cortical representations of visual attributes. Nature 2003, 425:954-956.
71. Khader P., Knoth K., Burke M., Ranganath C., Bien S., Rösler F. Topography and dynamics of associative long-term memory retrieval in humans. J. Cogn. Neurosci. 2007, 19:493-512.
72. Khader P.H., Schicke T., Röder B., Rösler F. On the relationship between slow cortical potentials and BOLD signal changes in humans. Int. J. Psychophysiol. 2008, 67:252-261.
73. Kohn A., Smith M.A. Stimulus dependence of neuronal correlation in primary visual cortex of the macaque. J. Neurosci. 2005, 25:3661-3673.
74. König P., Schillen T.B. Stimulus-dependent assembly formation of oscillatory responses: I. Synchronization. Neural Comput. 1991, 3:155-166.
75. Kwong K.K., Belliveau J.W., Chesler D.A., Goldberg I.E., Weisskoff R.M., Poncelet B.P., Kennedy D.N., Hoppel B.E., Cohen M.S., Turner R., Cheng H.-M., Brady T.J., Rosen B.R. Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. Proc. Natl. Acad. Sci. U. S. A. 1992, 89:5675-5679.
76. Lakatos P., Shah A.S., Knuth K.H., Ulbert I., Karmos G., Schroeder C.E. An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex. J. Neurophysiol. 2005, 94:1904-1911.
77. Lamm C., Fischmeister F.P.S., Bauer H. Individual differences in brain activity during visuo-spatial processing assessed by slow cortical potentials and LORETA. Cogn. Brain Res. 2005, 25:900-912.
78. Laufs H. Endogenous brain oscillations and related networks detected by surface EEG-combined fMRI. Hum. Brain Mapp. 2008, 29:762-769.
79. Laufs H., Krakow K., Sterzer P., Eger E., Beyerle A., Salek-Haddadi A., Kleinschmidt A. Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest. Proc. Natl. Acad. Sci. U. S. A. 2003, 100:11053-11058.
80. Leopold D.A., Murayama Y., Logothetis N.K. Very slow activity fluctuations in monkey visual cortex: implications for functional brain imaging. Cereb. Cortex 2003, 13:422-433.
81. Liu Z., Fukunaga M., De Zwart J.A., Duyn J.H. Large-scale spontaneous fluctuations and correlations in brain electrical activity observed with magnetoencephalography. Neuroimage 2010, 51:102-111.
82. Logothetis N.K. The underpinnings of the BOLD functional magnetic resonance imaging signal. J. Neurosci. 2003, 23:3963-3971.
83. Logothetis N.K., Kayser C., Oeltermann A. In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation. Neuron 2007, 55:809-823.
84. Maffei L., Galli-Resta L. Correlation in the discharges of neighboring rat retinal ganglion cells during prenatal life. Proc. Natl. Acad. Sci. U. S. A. 1990, 87:2861-2864.
85. Maier A., Adams G.K., Aura C., Leopold D.A. Distinct superficial and deep laminar domains of activity in the visual cortex during rest and stimulation. Front. Syst. Neurosci. 2010, 4:1-11.
86. Mantini D., Perrucci M.G., Del Gratta C., Romani G.L., Corbetta M. Electrophysiological signatures of resting state networks in the human brain. Proc. Natl. Acad. Sci. U. S. A. 2007, 104:13170-13175.
87. Mason M.F., Norton M.I., Van Horn J.D., Wegner D.M., Grafton S.T., Macrae C.N. Wandering minds: the default network and stimulus-independent thought. Science 2007, 315:393-395.
88. Mazaheri A., Jensen O. Asymmetric amplitude modulations of brain oscillations generate slow evoked responses. J. Neurosci. 2008, 28:7781-7787.
89. McCallum C.W., Curry H.S. Slow Potential Changes in the Human Brain 1993, Plenum Press, New York.
90. Mishkin M. Cortical visual areas and their interactions. Brain and Human Behavior 1972, 187-208. Karczmar, Eccles (Eds.).
91. Moosmann M., Ritter P., Krastel I., Brink A., Thees S., Blankenburg F., Taskin B., Obrig H., Villringer A. Correlates of alpha rhythm in functional magnetic resonance imaging and near infrared spectroscopy. Neuroimage 2003, 20:145-158.
92. Murphy K., Birn R.M., Handwerker D.A., Jones T.B., Bandettini P.A. The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?. Neuroimage 2009, 44:893-905.
93. Murthy V.N., Fetz E.E. Synchronization of neurons during local field potential oscillations in sensorimotor cortex of awake monkeys. J. Neurophysiol. 1996, 76:3968-3982.
94. Musso F., Brinkmeyer J., Mobascher A., Warbrick T., Winterer G. Spontaneous brain activity and EEG microstates. A novel EEG/fMRI analysis approach to explore resting-state networks. Neuroimage 2010, 52:1149-1161.
95. Niessing J., Ebisch B., Schmidt K.E., Niessing M., Singer W., Galuske R.A.W. Hemodynamic signals correlate tightly with synchronized gamma oscillations. Science 2005, 309:948-951.
96. Nir Y., Mukamel R., Dinstein I., Privman E., Harel M., Fisch L., Gelbard-Sagiv H., Kipervasser S., Andelman F., Neufeld M.Y., Kramer U., Arieli A., Fried I., Malach R. Interhemispheric correlations of slow spontaneous neuronal fluctuations revealed in human sensory cortex. Nat. Neurosci. 2008, 11:1100-1108.
97. Nolte G., Bai O., Wheaton L., Mari Z., Vorbach S., Hallett M. Identifying true brain interaction from EEG data using the imaginary part of coherency. Clin. Neurophysiol. 2004, 115:2292-2307.
98. Osipova D., Hermes D., Jensen O. Gamma power is phase-locked to posterior alpha activity. PLoS One 2008, 3:1-7.
99. Perkel D.H., Gerstein G.L., Moore G.P. Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains. Biophys. J. 1967, 7:419-440.
100. Pillow J.W., Shlens J., Paninski L., Sher A., Litke A.M., Chichilnisky E.J., Simoncelli E.P. Spatio-temporal correlations and visual signalling in a complete neuronal population. Nature 2008, 454:995-999.
101. Pouget A., Dayan P., Zemel R.S. Inference and computation with population codes. Annu. Rev. Neurosci. 2003, 26:381-410.
102. Pribram K.H., Maclean P.D. Neuronographic analysis of medial and basal cerebral cortex. II. Monkey. J. Neurophysiol. 1953, 16:324-340.
103. Raichle M.E., Mintun M.A. Brain work and brain imaging. Annu. Rev. Neurosci. 2006, 29:449-476.
104. Ramot M., Wilf M., Goldberg H., Weiss T., Deouell L.Y., Malach R. Coupling between spontaneous (resting state) fMRI fluctuations and human oculo-motor activity. Neuroimage 2011, 58:213-225.
105. Romei V., Brodbeck V., Michel C., Amedi A., Pascual-Leone A., Thut G. Spontaneous fluctuations in posterior alpha-band EEG activity reflect variability in excitability of human visual areas. Cereb. Cortex 2008, 18:2010-2018.
106. Sadaghiani S., Hesselmann G., Kleinschmidt A. Distributed and antagonistic contributions of ongoing activity fluctuations to auditory stimulus detection. J. Neurosci. 2009, 29:13410-13417.
107. Sadaghiani S., Scheeringa R., Lehongre K., Morillon B., Giraud A.-L., D'Esposito M., Kleinschmidt A. Alpha-band phase synchrony is related to activity in the fronto-parietal adaptive control network. J. Neurosci. 2012, 32:14305-14310.
108. Sakurai K., Takeda Y., Tanaka N., Kurita T., Shiraishi H., Takeuchi F., Nakane S., Sueda K., Koyama T. Generalized spike-wave discharges involve a default mode network in patients with juvenile absence epilepsy: a MEG study. Epilepsy Res. 2010, 89:176-184.
109. Salinas E., Sejnowski T.J. Correlated neuronal activity and the flow of neural information. Nat. Rev. Neurosci. 2001, 2:539-550.
110. Sammer G., Blecker C., Gebhardt H., Bischoff M., Stark R., Morgen K., Vaitl D. Relationship between regional hemodynamic activity and simultaneously recorded EEG-theta associated with mental arithmetic-induced workload. Hum. Brain Mapp. 2007, 28:793-803.
111. Sanchez-Vives M.V., McCormick D.A. Cellular and network mechanisms of rhythmic recurrent activity in neocortex. Nat. Neurosci. 2000, 3:1027-1034.
112. Sarnthein J., Petsche H., Rappelsberger P., Shaw G.L., Von Stein A. Synchronization between prefrontal and posterior association cortex during human working memory. Proc. Natl. Acad. Sci. U. S. A. 1998, 95:7092-7096.
113. Sauseng P., Klimesch W., Gruber W.R., Birbaumer N. Cross-frequency phase synchronization: a brain mechanism of memory matching and attention. Neuroimage 2008, 40:308-317.
114. Schoffelen J.-M., Gross J. Source connectivity analysis with MEG and EEG. Hum. Brain Mapp. 2009, 30:1857-1865.
115. Schoffelen J.-M., Oostenveld R., Fries P. Neuronal coherence as a mechanism of effective corticospinal interaction. Science 2005, 308:111-113.
116. Schölvinck M.L., Howarth C., Attwell D. The cortical energy needed for conscious perception. Neuroimage 2008, 40:1460-1468.
117. Schölvinck M.L., Maier A., Ye F.Q., Duyn J.H., Leopold D.A. Neural basis of global resting-state fMRI activity. Proc. Natl. Acad. Sci. U. S. A. 2010, 107:10238-10243.
118. Schölvinck M.L., Friston K.J., Rees G. The influence of spontaneous activity on stimulus processing in primary visual cortex. Neuroimage 2012, 59:2700-2708.
119. Shadlen M.N., Newsome W.T. The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. J. Neurosci. 1998, 18:3870-3896.
120. Shmuel A., Leopold D.A. Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: implications for functional connectivity at rest. Hum. Brain Mapp. 2008, 29:751-761.
121. Smith M.A., Kohn A. Spatial and temporal scales of neuronal correlation in primary visual cortex. J. Neurosci. 2008, 28:12591-12603.
122. Smith S.M., Fox P.T., Miller K.L., Glahn D.C., Fox P.M., Mackay C.E., Filippini N., Watkins K.E., Toro R., Laird A.R., Beckmann C.F. Correspondence of the brain's functional architecture during activation and rest. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:13040-13045.
123. Smith S.M., Miller K.L., Salimi-Khorshidi G., Webster M., Beckmann C.F., Nichols T.E., Ramsey J.D., Woolrich M.W. Network modelling methods for FMRI. Neuroimage 2011, 54:875-891.
124. Sokoloff L. The physiological and biochemical bases of functional brain imaging. Cogn. Neurodynamics 2007, 2:1-5.
125. Sokoloff L., Mangold R., Wechsler R.L., Kennedy C., Kety S.S. The effect of mental arithmetic on cerebral circulation and metabolism. J. Clin. Invest. 1955, 34:1101-1108.
126. Sorg C., Riedl V., Perneczky R., Kurz A., Wohlschläger A.M. Impact of Alzheimer's disease on the functional connectivity of spontaneous brain activity. Curr. Alzheimer Res. 2009, 6:541-553.
127. Spaak E., Bonnefond M., Maier A., Leopold D.A., Jensen O. Layer-specific entrainment of gamma-band neural activity by the alpha rhythm in monkey visual cortex. Curr. Biol. 2012, 22:2313-2318.
128. Speckmann E., Elger C. Introduction of the neurophysiological basis of the EEG and DC potentials. Electroencephalography: Basic Principles, Clinical Applications, and Related Fields 1993, 15-26. Williams & Wilkins. E. Niedermeyer, F. Da Silva (Eds.).
129. Stam C.J., De Haan W., Daffertshofer A., Jones B.F., Manshanden I., Cappellen Van, van Walsum A.M., Montez T., Verbunt J.P.A., De Munck J.C., Van Dijk B.W., Berendse H.W., Scheltens P. Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease. Brain 2009, 132:213-224.
130. Steriade M. Impact of network activities on neuronal properties in corticothalamic systems. J. Neurophysiol. 2001, 86:1-39.
131. Steriade M., Timofeev I. Neuronal plasticity in thalamocortical review networks during sleep and waking oscillations. Neuron 2003, 37:563-576.
132. Steriade M., McCormick D.A., Sejnowski T.J. Thalamocortical oscillations in the sleeping and aroused brain. Science 1993, 262:679-685.
133. Supèr H., Van der Togt C., Spekreijse H., Lamme V.A.F. Internal state of monkey primary visual cortex (V1) predicts figure-ground perception. J. Neurosci. 2003, 23:3407-3414.
134. Tagliazucchi E., Von Wegner F., Morzelewski A., Brodbeck V., Laufs H. Dynamic BOLD functional connectivity in humans and its electrophysiological correlates. Front. Hum. Neurosci. 2012, 6:1-22.
135. Tagliazucchi E., Von Wegner F., Morzelewski A., Brodbeck V., Borisov S., Jahnke K., Laufs H. Large-scale brain functional modularity is reflected in slow electroencephalographic rhythms across the human non-rapid eye movement sleep cycle. Neuroimage 2013, 70:327-339.
136. Thut G., Nietzel A., Brandt S.A., Pascual-Leone A. Alpha-band electroencephalographic activity over occipital cortex indexes visuospatial attention bias and predicts visual target detection. J. Neurosci. 2006, 26:9494-9502.
137. Ts'o D.Y., Gilbert C.D., Wiesel T.N. Relationships between horizontal interactions and functional architecture in cat striate cortex as revealed by cross-correlation analysis. J. Neurosci. 1986, 6:1160-1170.
138. Van de Ville D., Britz J., Michel C.M. EEG microstate sequences in healthy humans at rest reveal scale-free dynamics. Proc. Natl. Acad. Sci. U. S. A. 2010, 107:18179-18184.
139. Van den Heuvel M.P., Hulshoff Pol H.E. Exploring the brain network: a review on resting-state fMRI functional connectivity. Eur. Neuropsychopharmacol. 2010, 20:519-534.
140. Van Eijsden P., Hyder F., Rothman D.L., Shulman R.G. Neurophysiology of functional imaging. Neuroimage 2009, 45:1047-1054.
141. Varela F., Lachaux J., Rodriguez E., Martinerie J. The brainweb: phase synchronization and large-scale integration. Nat. Rev. Neurosci. 2001, 2:229-239.
142. Vincent J.L., Patel G.H., Fox M.D., Snyder A.Z., Baker J.T., Van Essen D.C., Zempel J.M., Snyder L.H., Corbetta M., Raichle M.E. Intrinsic functional architecture in the anaesthetized monkey brain. Nature 2007, 447:83-86.
143. Von Stein A., Sarnthein J. Different frequencies for different scales of cortical integration: from local gamma to long range alpha/theta synchronization. Int. J. Psychophysiol. 2000, 38:301-313.
144. Wang K., Jiang T., Yu C., Tian L., Li J., Liu Y., Zhou Y., Xu L., Song M., Li K. Spontaneous activity associated with primary visual cortex: a resting-state fMRI study. Cereb. Cortex 2008, 18:697-704.
145. Wilson T.W., Franzen J.D., Heinrichs-Graham E., White M.L., Knott N.L., Wetzel M.W. Broadband neurophysiological abnormalities in the medial prefrontal region of the default-mode network in adults with ADHD. Hum. Brain Mapp. 2013, 34:566-574.
146. Winterer G., Carver F.W., Musso F., Mattay V., Weinberger D.R., Coppola R. Complex relationship between BOLD signal and synchronization/desynchronization of human brain MEG oscillations. Hum. Brain Mapp. 2007, 28:805-816.
147. Xu S., Jiang W., Poo M.-M., Dan Y. Activity recall in a visual cortical ensemble. Nat. Neurosci. 2012, 15:449-455.
148. Zhang D., Raichle M.E. Disease and the brain's dark energy. Nat. Rev. Neurol. 2010, 6:15-28.
149. Zuo X.-N., Kelly C., Adelstein J.S., Klein D.F., Castellanos F.X., Milham M.P. Reliable intrinsic connectivity networks: test-retest evaluation using ICA and dual regression approach. Neuroimage 2010, 49:2163-2177.