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Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest
Open accessAbstract
We assessed the relation between hemodynamic and electrical indices of brain function by performing simultaneous functional MRI (fMRI) and electroencephalography (EEG) in awake subjects at rest with eyes closed. Spontaneous power fluctuations of electrical rhythms were determined for multiple discrete frequency bands, and associated fMRI signal modulations were mapped on a voxel-by-voxel basis. There was little positive correlation of localized brain activity with alpha power (8–12 Hz), but strong and widespread negative correlation in lateral frontal and parietal cortices that are known to support attentional processes. Power in a 17–23 Hz range of beta activity was positively correlated with activity in retrosplenial, temporo-parietal, and dorsomedial prefrontal cortices. This set of areas has previously been characterized by high but coupled metabolism and blood flow at rest that decrease whenever subjects engage in explicit perception or action. The distributed patterns of fMRI activity that were correlated with power in different EEG bands overlapped strongly with those of functional connectivity, i.e., intrinsic covariations of regional activity at rest. This result indicates that, during resting wakefulness, and hence the absence of a task, these areas constitute separable and dynamic functional networks, and that activity in these networks is associated with distinct EEG signatures. Taken together with studies that have explicitly characterized the response properties of these distributed cortical systems, our findings may suggest that alpha oscillations signal a neural baseline with “inattention” whereas beta rhythms index spontaneous cognitive operations during conscious rest.
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“This extended system is consistent with previous resting-state correlation studies (28,45) and has been dubbed by us the task-positive network (28).”
From Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems (2006) · cites this paper as [45]
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Cites
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
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
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
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.24.9868 · Cited by 6,483
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
Über das Elektrenkephalogramm des Menschen
Berger, H. (1929) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/bf01797193 · Cited by 4,266
Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.
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. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5675 · Cited by 4,212
Searching for a baseline: Functional imaging and the resting human brain
Gusnard, D. A., & Raichle, M. E. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094500 · Cited by 3,371
Gusnard, D. A., Akbudak, E., Shulman, G. L., & Raichle, M. E. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.071043098 · Cited by 2,997
Flagged first, then by citations
Research works printed but not linked: 5
- Vogel, F. (1962) Dtsch. Z. Nervenheilkd. 184, 137–173.13997623
- Cordes, D., Haughton, V. M., Arfanakis, K., Carew, J. D., Turski, P. A., Moritz, C. H., Quigley, M. A. & Meyerand, M. E. (2001) AJNR Am. J. Neuroradiol. 22, 1326–1333.11498421
- McGuire, P. K., Paulesu, E., Frackowiak, R. S. & Frith, C. D. (1996) NeuroReport 7, 2095–2099.8930966
- Adrian, E. D. & Matthews, B. H. C. (1934) Brain 57, 356.
- Jung, R. (1953) in Handbuch der Inneren Medizin, eds. von Bergmann, G., Frey, W. & Schwiegk, H. (Springer, Berlin), Vol. 1, pp. 1216–1325.
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Hou, J., Lin, Y., Zhang, W., Song, L., Wu, W., Wang, J., Zhou, D., Zou, Q., Fang, Y., He, M., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074530 · Cited by 48
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Balsters, J. H., O’Connell, R. G., Galli, A., Nolan, H., Greco, E., Kilcullen, S. M., Bokde, A. L. W., Lai, R. Y. K., Upton, N., & Robertson, I. H. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.03.004 · Cited by 48
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Laufs, H., Hamandi, K., Walker, M. C., Scott, C. A., Smith, S. J. M., Duncan, J. S., & Lemieux, L. (2006) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2005.12.026 · Cited by 46
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Moinnereau, M.-A., de Oliveira, A. A., & Falk, T. H. (2022) · Quality and User Experience · doi:10.1007/s41233-022-00052-1 · Cited by 45
Su, L., Lu, D., Jiao, Q., Lu, G., Liu, X., Lin, X., Luo, L., Cheng, W., Gao, W., Xiao, Q., et al. (2014) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s54663 · Cited by 45
Cook, C. M., Saucier, D. M., Thomas, A. W., & Prato, F. S. (2008) · Bioelectromagnetics · doi:10.1002/bem.20434 · Cited by 45
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Lœvenbruck, H., Baciu, M., Segebarth, C., & Abry, C. (2005) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2004.12.002 · Cited by 42
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Song, M., Shin, Y., & Yun, K. (2014) · Neuroreport · doi:10.1097/wnr.0000000000000283 · Cited by 42
Kam, J. W. Y., Brenner, C. A., Handy, T. C., Boyd, L. A., Liu-Ambrose, T. Y. L., Lim, H. J., Hayden, S., & Campbell, K. L. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.03.007 · Cited by 42
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Tamburro, G., di Fronso, S., Robazza, C., Bertollo, M., & Comani, S. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00243 · Cited by 42
Pierce, S., Kadlaskar, G., Edmondson, D. A., McNally Keehn, R., Dydak, U., & Keehn, B. (2021) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-020-09351-0 · Cited by 42
Huffmeijer, R., Alink, L. R. A., Tops, M., Bakermans‐Kranenburg, M. J., & van IJzendoorn, M. H. (2012) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-011-0082-6 · Cited by 42
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Quinn, C. R., RENNIE, C. J., Harris, A. W. F., & Kemp, A. H. (2014) · Psychiatry Research · doi:10.1016/j.psychres.2013.12.049 · Cited by 46
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Lin, Y., Zou, Q., Wang, J., Wang, Y., Zhou, D., Zhang, R., Zhang, Y., Lii, H., & Fang, Y. (2010) · Human Brain Mapping · doi:10.1002/hbm.21158 · Cited by 41
Reinacher, M., Becker, R., Villringer, A., & Ritter, P. (2009) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2009.06.036 · Cited by 40
Gatev, P., & Wichmann, T. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn171 · Cited by 40
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de Munck, J. C., van Houdt, P. J., Goncalves, S. I., van Wegen, E. E. H., & Ossenblok, P. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.022 · Cited by 39
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Müller, T., Federspiel, A., Horn, H., Lövblad, K., Lehmann, C. U., Dierks, T., & Strik, W. K. (2004) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2004.09.004 · Cited by 38
Meyer, M. C., van Oort, E. S. B., & Barth, M. (2012) · Brain Topography · doi:10.1007/s10548-012-0235-0 · Cited by 40
Hamandi, K., Salek‐Haddadi, A., Liston, A. D., Laufs, H., Fish, D. R., & Lemieux, L. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.052 · Cited by 39
Self-citationKiviniemi, V. J., Ruohonen, J., & Tervonen, O. A. (2005) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2004.09.005 · Cited by 39
Triggiani, A. I., Valenzano, A. A., Percio, C. D., Marzano, N., Soricelli, A., Petito, A., Bellomo, A., Başar, E., Mundi, C., Cibelli, G., et al. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2015.02.009 · Cited by 41
Lei, X., Valdes-Sosa, P. A., & Yao, D. (2012) · Journal of Integrative Neuroscience · doi:10.1142/s0219635212500203 · Cited by 40
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Tsuchimoto, S., Shibusawa, S., Mizuguchi, N., Kato, K. H., Ebata, H., Liu, M., Hanakawa, T., & Ushiba, J. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00356 · Cited by 38
Fingelkurts, A. A., & Fingelkurts, A. A. (2022) · Applied Sciences · doi:10.3390/app12199560 · Cited by 43
Haneef, Z., Lenartowicz, A., Yeh, H. J., Engel, J., & Stern, J. M. (2014) · Journal of Visualized Experiments · doi:10.3791/51442 · Cited by 39
Bernasconi, F., Manuel, A. L., Murray, M. M., & Spierer, L. (2010) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2010.10.017 · Cited by 37
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Kawano, T., Hattori, N., Uno, Y., Hatakenaka, M., Yagura, H., Fujimoto, H., Yoshioka, T., Nagasako, M., Otomune, H., Kitajo, K., et al. (2020) · Neurorehabilitation and neural repair · doi:10.1177/1545968320935820 · Cited by 37
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Havranek, M. M., Langer, N., Cheetham, M., & Jäncke, L. (2012) · Behavioral and Brain Functions · doi:10.1186/1744-9081-8-34 · Cited by 37
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Jean Daunizeau, A., Laufs, H., & Friston, K. J. (2009) · Springer eBooks · doi:10.1007/978-3-540-87919-0_25 · Cited by 36
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Perlbarg, V., Marrelec, G., Doyon, J., Pélégrini‐Issac, M., Lehéricy, S., & Benali, H. (2008) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2008.4541229 · Cited by 40
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Martino, F. D., Valente, G., de Borst, A. W., Esposito, F., Roebroeck, A. F., Goebel, R., & Formisano, E. (2010) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2009.12.026 · Cited by 35
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Lowe, M. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.014 · Cited by 35
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Lowe, M. J. (2010) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-010-0230-y · Cited by 38
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Rombouts, S. A. R. B., Scheltens, P., Kuijer, J. P. A., & Barkhof, F. (2007) · Human Brain Mapping · doi:10.1002/hbm.20349 · Cited by 34
Piantoni, G., Cheung, B. L. P., Veen, B. D. V., Romeijn, N., Riedner, B. A., Tononi, G., van der Werf, Y. D., & Someren, E. J. W. V. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.103 · Cited by 35
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Pajani, A., Kok, P., Kouider, S., & de Lange, F. P. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.1520-15.2015 · Cited by 35
Missana, M., Grigutsch, M., & Großmann, T. (2014) · PLoS ONE · doi:10.1371/journal.pone.0093728 · Cited by 34
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Metadata
- Authors
- Laufs, H., Krakow, K., Sterzer, P., Eger, E., Beyerle, A., Salek-Haddadi, A., & Kleinschmidt, A.
- Affiliations
- Goethe University Frankfurt (DE)
- Cognitive Neurology Unit, Department of Neurology, J. W. Goethe University, Theodor-Stern-Kai 7, D-60590 Frankfurt am Main, Germany; and Department of Clinical and Experimental Epilepsy, Institute of Neurology, University College London, London WC1N 3BG, United Kingdom
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2003-09-04
- Volume
- 100
- Issue
- 19
- Pages
- 11053-11058
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC196925
- OpenAlex
- W2153394220
- Cited by
- 1,028
- References
- 37
- Citations by year
- 2026: 27 · 2025: 28 · 2024: 33 · 2023: 28 · 2022: 39 · 2021: 67 · 2020: 44 · 2019: 43 · 2018: 42 · 2017: 44 · 2016: 51 · 2015: 45 · 2014: 60 · 2013: 67 · 2012: 67
- FWCI
- 11.89
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Volkswagen Foundation
- Bundesministerium für Bildung und Forschung
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Mind wandering and attention
- Keywords
- resting state, spontaneous brain activity, alpha oscillations, beta oscillations, functional connectivity, default mode network, attention, frontal and parietal cortex, dorsomedial prefrontal cortex, temporoparietal cortex, retrosplenial cortex, inattention
- MeSH terms
- Attention, Brain, Cognition, Electroencephalography, Humans, Magnetic Resonance Imaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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