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Interhemispheric correlations of slow spontaneous neuronal fluctuations revealed in human sensory cortex
Open accessAbstract
Animal studies have shown robust electrophysiological activity in the sensory cortex in the absence of stimuli or tasks. Similarly, recent human functional magnetic resonance imaging (fMRI) revealed widespread, spontaneously emerging cortical fluctuations. However, it is unknown what neuronal dynamics underlie this spontaneous activity in the human brain. Here we studied this issue by combining bilateral single-unit, local field potentials (LFPs) and intracranial electrocorticography (ECoG) recordings in individuals undergoing clinical monitoring. We found slow (<0.1 Hz, following 1/f-like profiles) spontaneous fluctuations of neuronal activity with significant interhemispheric correlations. These fluctuations were evident mainly in neuronal firing rates and in gamma (40–100 Hz) LFP power modulations. Notably, the interhemispheric correlations were enhanced during rapid eye movement and stage 2 sleep. Multiple intracranial ECoG recordings revealed clear selectivity for functional networks in the spontaneous gamma LFP power modulations. Our results point to slow spontaneous modulations in firing rate and gamma LFP as the likely correlates of spontaneous fMRI fluctuations in the human sensory cortex.
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Cites
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,551
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326
Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684
Llinás, R. R. (1988) · Science · doi:10.1126/science.3059497 · Cited by 2,285
Electrophysiological signatures of resting state networks in the human brain
Mantini, D., Perrucci, M. G., Del Gratta, C., Romani, G. L., & Corbetta, M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0700668104 · Cited by 1,938
Steriade, M., Nunez, A., & Amzica, F. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-08-03252.1993 · Cited by 1,903
Intrinsic functional architecture in the anaesthetized monkey brain
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. (2007) · Nature · doi:10.1038/nature05758 · Cited by 1,786
Research works printed but not linked: 35
- Arieli, A., Sterkin, A., Grinvald, A. & Aertsen, A. Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses. Science 273, 1868–1871 (1996). · DOI · Paper page
- Leopold, D.A., Murayama, Y. & Logothetis, N.K. Very slow activity fluctuations in monkey visual cortex: implications for functional brain imaging. Cereb. Cortex 13, 422–433 (2003). · DOI · Paper page
- Steriade, M., Amzica, F. & Nunez, A. Cholinergic and noradrenergic modulation of the slow (approximately 0.3 Hz) oscillation in neocortical cells. J. Neurophysiol. 70, 1385–1400 (1993). · DOI · Paper page
- Grill-Spector, K., Kushnir, T., Hendler, T. & Malach, R. The dynamics of object-selective activation correlate with recognition performance in humans. Nat. Neurosci. 3, 837–843 (2000). · DOI · Paper page
- Kanwisher, N. Neural events and perceptual awareness. Cognition 79, 89–113 (2001). · DOI
- Lowe, M.J., Mock, B.J. & Sorenson, J.A. Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations. Neuroimage 7, 119–132 (1998). · DOI · Paper page
- Cordes, D. et al. Mapping functionally related regions of brain with functional connectivity MR imaging. AJNR Am. J. Neuroradiol. 21, 1636–1644 (2000).
- Fox, M.D. et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc. Natl. Acad. Sci. USA 102, 9673–9678 (2005). · DOI · Paper page
- Nir, Y., Hasson, U., Levy, I., Yeshurun, Y. & Malach, R. Widespread functional connectivity and fMRI fluctuations in human visual cortex in the absence of visual stimulation. Neuroimage 30, 1313–1324 (2006). · DOI
- Golland, Y. et al. Extrinsic and intrinsic systems in the posterior cortex of the human brain revealed during natural sensory stimulation. Cereb. Cortex 17, 766–777 (2007). · DOI · Paper page
- Bitterman, Y., Mukamel, R., Malach, R., Fried, I. & Nelken, I. Ultra-fine frequency tuning revealed in single neurons of human auditory cortex. Nature 451, 197–201 (2008). · DOI
- Steriade, M., McCormick, D.A. & Sejnowski, T.J. Thalamocortical oscillations in the sleeping and aroused brain. Science 262, 679–685 (1993). · DOI · Paper page
- Privman, E. et al. Enhanced category tuning revealed by intracranial electroencephalograms in high-order human visual areas. J. Neurosci. 27, 6234–6242 (2007). · DOI
- Nir, Y. et al. Coupling between neuronal firing rate, gamma LFP and BOLD fMRI is related to interneuronal correlations. Curr. Biol. 17, 1275–1285 (2007). · DOI · Paper page
- Womelsdorf, T., Fries, P., Mitra, P.P. & Desimone, R. Gamma-band synchronization in visual cortex predicts speed of change detection. Nature 439, 733–736 (2006). · DOI · Paper page
- Lu, H. et al. Synchronized delta oscillations correlate with the resting-state functional MRI signal. Proc. Natl. Acad. Sci. USA 104, 18265–18269 (2007). · DOI · Paper page
- Mukamel, R. et al. Coupling between neuronal firing, field potentials and FMRI in human auditory cortex. Science 309, 951–954 (2005). · DOI · Paper page
- Nelken, I. Processing of complex stimuli and natural scenes in the auditory cortex. Curr. Opin. Neurobiol. 14, 474–480 (2004). · DOI · Paper page
- Mitra, P.P., Ogawa, S., Hu, X. & Ugurbil, K. The nature of spatiotemporal changes in cerebral hemodynamics as manifested in functional magnetic resonance imaging. Magn. Reson. Med. 37, 511–518 (1997). · DOI
- Liu, H. et al. Decreased regional homogeneity in schizophrenia: a resting state functional magnetic resonance imaging study. Neuroreport 17, 19–22 (2006). · DOI
- Cordes, D., Haughton, V., Carew, J.D., Arfanakis, K. & Maravilla, K. Hierarchical clustering to measure connectivity in fMRI resting-state data. Magn. Reson. Imaging 20, 305–317 (2002). · DOI · Paper page
- Van de Ven, V.G., Formisano, E., Prvulovic, D., Roeder, C.H. & Linden, D.E. Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest. Hum. Brain Mapp. 22, 165–178 (2004). · DOI
- Johnston, J.M. et al. Loss of resting interhemispheric functional connectivity after complete section of the corpus callosum. J. Neurosci. 28, 6453–6458 (2008). · DOI · Paper page
- Niessing, J. et al. Hemodynamic signals correlate tightly with synchronized gamma oscillations. Science 309, 948–951 (2005). · DOI · Paper page
- Nir, Y., Dinstein, I., Malach, R. & Heeger, D.J. BOLD and spiking activity. Nat. Neurosci. 11, 523–524 (2008). · DOI
- Barbour, D.L. & Wang, X. Auditory cortical responses elicited in awake primates by random spectrum stimuli. J. Neurosci. 23, 7194–7206 (2003). · DOI
- Phan, M.L. & Recanzone, G.H. Single-neuron responses to rapidly presented temporal sequences in the primary auditory cortex of the awake macaque monkey. J. Neurophysiol. 97, 1726–1737 (2007). · DOI
- Tootell, R.B. et al. The retinotopy of visual spatial attention. Neuron 21, 1409–1422 (1998). · DOI
- Fishbein, I. & Segal, M. Miniature synaptic currents become neurotoxic to chronically silenced neurons. Cereb. Cortex 17, 1292–1306 (2007). · DOI
- Tononi, G. & Cirelli, C. Sleep function and synaptic homeostasis. Sleep Med. Rev. 10, 49–62 (2006). · DOI · Paper page
- Morel, A., Garraghty, P.E. & Kaas, J.H. Tonotopic organization, architectonic fields and connections of auditory cortex in macaque monkeys. J. Comp. Neurol. 335, 437–459 (1993). · DOI
- Tsodyks, M.V. & Sejnowski, T. Rapid state switching in balanced cortical network models. Network Comput. Neural Syst. 6, 111–124 (1995). · DOI
- Vogels, T.P., Rajan, K. & Abbott, L.F. Neural network dynamics. Annu. Rev. Neurosci. 28, 357–376 (2005). · DOI · Paper page
- Laureys, S. & Boly, M. What is it like to be vegetative or minimally conscious? Curr. Opin. Neurol. 20, 609–613 (2007). · DOI
- Rechtschaffen, A. & Kales, A.A. A Manual of Standardized Terminology, Techniques, and Scoring System for Sleep Stages of Human Subjects (US Department of Health, Education and Welfare, Bethesda, Maryland, 1968).
Cited by
Saliency, switching, attention and control: a network model of insula function
Menon, V., & Uddin, L. Q. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0262-0 · Cited by 5,592
Large-scale brain networks and psychopathology: a unifying triple network model
Menon, V. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.08.003 · Cited by 4,168
Exploring the brain network: A review on resting-state fMRI functional connectivity
van den Heuvel, M. P., & Hulshoff Pol, H. E. (2010) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2010.03.008 · Cited by 3,326
Dynamic functional connectivity: Promise, issues, and interpretations
Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.079 · Cited by 2,962
Evidence for a Frontoparietal Control System Revealed by Intrinsic Functional Connectivity
Vincent, J. L., Kahn, I., Snyder, A. Z., Raichle, M. E., & Buckner, R. L. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90355.2008 · Cited by 1,869
Metadata
- Authors
- 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.
- Venue
- Nature Neuroscience
- Published
- 2008-08-24
- Volume
- 11
- Issue
- 9
- Pages
- 1100-1108
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- OpenAlex
- W2109569847
- Cited by
- 485
- References
- 15
- FWCI
- 16.07
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.springer.com/tdm (tdm)
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