The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
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
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.
Cited by
Sorted by citations
Items 501–600 of 999
Lv, B., Chen, Z., Wu, T., Shao, Q., Yan, D., Ma, L., Lu, K., & Xie, Y. (2013) · Clinical Neurophysiology · doi:10.1016/j.clinph.2013.07.018 · Cited by 33
The human EEG — Physiological and clinical studies
Brismar, T. (2007) · Physiology & Behavior · doi:10.1016/j.physbeh.2007.05.047 · Cited by 33
Arapakis, I., Barreda-Ángeles, M., & Pereda-Baños, A. (2017) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2682089 · Cited by 33
Fingelkurts, A. A., & Fingelkurts, A. A. (2010) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2010.02.009 · Cited by 31
Hou, B. L., Bhatia, S., & Carpenter, J. S. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.03.003 · Cited by 33
Donepezil for mild cognitive impairment in Parkinson’s disease
Baik, K., Kim, S. M., Jung, J. H., Lee, Y. H., Chung, S. J., Yoo, H. S., Ye, B. S., Lee, P. H., Sohn, Y. H., Kang, S. W., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-84243-4 · Cited by 32
fMRI analysis for motor paradigms using EMG‐based designs: A validation study
van Rootselaar, A., Renken, R. J., de Jong, B. M., Hoogduin, J. M., Tijssen, M. A. J., & Maurits, N. M. (2007) · Human Brain Mapping · doi:10.1002/hbm.20336 · Cited by 32
EEG-fMRI reciprocal functional neuroimaging
Yang, L., Liu, Z., & He, B. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.02.153 · Cited by 31
A mini-cap for simultaneous EEG and fMRI recording in rodents
Sumiyoshi, A., Riera, J. J., Ogawa, T., & Kawashima, R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.056 · Cited by 30
Dynamic functional connectivity states characterize NREM sleep and wakefulness
Zhou, S., Zou, G., Xu, J., Su, Z., Zhu, H., Zou, Q., & Gao, J. (2019) · Human Brain Mapping · doi:10.1002/hbm.24770 · Cited by 29
Fedele, T., Tzovara, A., Steiger, B. K., Hilfiker, P., Grünwald, T., Stieglitz, L. H., Jokeit, H., & Sarnthein, J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116705 · Cited by 31
Multimodal Autoencoder Predicts fNIRS Resting State From EEG Signals
Sirpal, P., Damseh, R., Peng, K., Nguyen, D. K., & Lesage, F. (2021) · Neuroinformatics · doi:10.1007/s12021-021-09538-3 · Cited by 31
Moving GLM ballistocardiogram artifact reduction for EEG acquired simultaneously with fMRI
Vincent, J. L., Larson‐Prior, L. J., Zempel, J. M., & Snyder, A. Z. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.12.017 · Cited by 31
Yang, L., Chen, Q., Lv, B., & Wu, T. (2016) · Clinical EEG and Neuroscience · doi:10.1177/1550059416644887 · Cited by 31
Yordanova, J., Kolev, V., Wagner, U., & Verleger, R. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009442 · Cited by 31
Schwartzmann, B., Quilty, L. C., Dhami, P., Uher, R., Allen, T. A., Kloiber, S. M., Lam, R. W. M., Frey, B. N., Milev, R. V., Müller, D. J., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-35179-4 · Cited by 31
Resting-state posterior alpha power changes with prolonged exposure in a natural environment
Hopman, R. J., LoTemplio, S. B., Scott, E. E., McKinney, T. L., & Strayer, D. L. (2020) · Cognitive Research Principles and Implications · doi:10.1186/s41235-020-00247-0 · Cited by 35
Anderson, J. S. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1220 · Cited by 30
Jaime, S., Gu, H., Sadacca, B. F., Stein, E. A., Cavazos, J. E., Yang, Y., & Lu, H. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx310 · Cited by 30
Yu, L., Wang, X., Lyu, Y., Ding, L., Jia, J., Tong, S., & Guo, X. (2020) · Neuroscience · doi:10.1016/j.neuroscience.2020.02.040 · Cited by 29
Reference-free removal of EEG-fMRI ballistocardiogram artifacts with harmonic regression
Krishnaswamy, P., Bonmassar, G., Poulsen, C., Pierce, E. T., Purdon, P. L., & Brown, E. N. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.088 · Cited by 29
Qiu, Y., Lv, X., Su, H., Jiang, G., Tian, J., Zhuo, F., Han, L., & Zhang, X. (2013) · PLoS ONE · doi:10.1371/journal.pone.0078738 · Cited by 28
Electroencephalography and externalizing behavior: A meta-analysis
Rudo-Hutt, A. S. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2014.12.005 · Cited by 32
Modern Methods for Interrogating the Human Connectome
Lowe, M. J., Sakaie, K., Beall, E. B., Calhoun, V. D., Bridwell, D. A., Rubinov, M., & Rao, S. M. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617716000060 · Cited by 29
Konjedi, S., & Maleeh, R. (2017) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-017-0506-z · Cited by 33
Edla, D. R., Ansari, M. F., Chaudhary, N., & Dodia, S. J. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.05.081 · Cited by 28
Energy features in spontaneous up and down oscillations
Wang, Y., Xu, X., & Wang, R. (2020) · Cognitive Neurodynamics · doi:10.1007/s11571-020-09597-3 · Cited by 28
Group-level spatial independent component analysis of Fourier envelopes of resting-state MEG data
Ramkumar, P., Parkkonen, L. T., & Hyvärinen, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.032 · Cited by 28
Fluctuating Minds: Spontaneous Psychophysical Variability during Mind-Wandering
Henríquez-Ch, R., Chica, A. B., Billeke, P. B., & Bartolomeo, P. (2016) · PLoS ONE · doi:10.1371/journal.pone.0147174 · Cited by 27
Resting state brain dynamics and its transients: a combined TMS-EEG study
Bonnard, M., Chen, S., Gaychet, J., Carrère, M., Woodman, M., Giusiano, B., & Jirsa, V. (2016) · Scientific Reports · doi:10.1038/srep31220 · Cited by 28
Hostility‐ and gender‐related differences in oscillatory responses to emotional facial expressions
Knyazev, G. G., Bocharov, A. V., & Slobodskoj‐Plusnin, J. Y. (2009) · Aggressive Behavior · doi:10.1002/ab.20318 · Cited by 28
Knyazev, G. G., Levin, E. A., & Savostyanov, A. N. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.11.041 · Cited by 33
Rosen, D., Oh, Y., Chesebrough, C., Zhang, F., & Kounios, J. (2024) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2024.108824 · Cited by 32
Kottaram, A., Johnston, L. A., Tian, Y., Ganella, E. P., Laskaris, L., Cocchi, L., McGorry, P. D., Pantelis, C., Ramamohanarao, K., Cropley, V., et al. (2020) · Human Brain Mapping · doi:10.1002/hbm.25020 · Cited by 26
Zhang, Y., Ke, L., Fu, Y., Di, Q., & Ma, X. (2021) · Environment International · doi:10.1016/j.envint.2021.107070 · Cited by 29
Spontaneous fMRI activity during resting wakefulness and sleep
Duyn, J. H. (2011) · Progress in brain research · doi:10.1016/b978-0-444-53839-0.00019-3 · Cited by 29
Oxytocin affects spontaneous neural oscillations in trauma-exposed war veterans
Eidelman-Rothman, M., Goldstein, A., Lévy, J., Weisman, O., Schneiderman, I., Mankuta, D., Zagoory‐Sharon, O., & Feldman, R. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00165 · Cited by 29
Missana, M., & Großmann, T. (2014) · Developmental Psychology · doi:10.1037/a0038469 · Cited by 29
Generalized Spike and Waves: Effect of Discharge Duration on Brain Networks as Revealed by BOLD fMRI
Pugnaghi, M., Carmichael, D. W., Vaudano, A. E., Chaudhary, U. J., Benuzzi, F., Bonaventura, C. D., Giallonardo, A. T., Rodionov, R., Walker, M. C., Duncan, J. S., et al. (2013) · Brain Topography · doi:10.1007/s10548-013-0311-0 · Cited by 27
Insulin effects on beta and theta activity in the human brain are differentially affected by ageing
Tschritter, O., Hennige, A. M., Preissl, H. T., Grichisch, Y., Kirchhoff, K., Kantartzis, K., Machicao, F. E., Fritsche, A., & Häring, H. (2008) · Diabetologia · doi:10.1007/s00125-008-1187-5 · Cited by 27
Context-specific modulation of intrinsic coupling modes shapes multisensory processing
Galindo-Leon, E. E., Stitt, I., Pieper, F., Stieglitz, T., Engler, G., & Engel, A. K. (2019) · Science Advances · doi:10.1126/sciadv.aar7633 · Cited by 24
Resting State EEG-Based Biometric System Using Concatenation of Quadrantal Functional Networks
Kim, D., & Kim, K. (2019) · IEEE Access · doi:10.1109/access.2019.2917918 · Cited by 26
Kim, H., Yoo, S., & Lee, J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.049 · Cited by 26
Xiang, J., Liu, Y., Wang, Y., Kotecha, R. R., Kirtman, E. G., Chen, Y., Huo, X., Fujiwara, H., Hemasilpin, N., deGrauw, T. J., et al. (2009) · Brain Research · doi:10.1016/j.brainres.2009.03.068 · Cited by 26
Liu, Y., McAfee, S. S., Guley, N., Mar, N. D., Bu, W., Heldt, S. A., Honig, M. G., Moore, B. M., II, Reiner, A. J., & Heck, D. H. (2017) · eNeuro · doi:10.1523/eneuro.0387-16.2017 · Cited by 27
Ketamine Alters Lateral Prefrontal Oscillations in a Rule-Based Working Memory Task
Ma, L., Skoblenick, K. J., Johnston, K., & Everling, S. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2659-17.2018 · Cited by 26
Larivière, S., Xifra‐Porxas, A., Kassinopoulos, M., Niso, G., Baillet, S., Mitsis, G. D., & Boudrias, M. (2019) · Human Brain Mapping · doi:10.1002/hbm.24578 · Cited by 29
Kim, J.-Y., Son, J.-B., Leem, H.-S., & Lee, S. (2019) · Applied Sciences · doi:10.3390/app9122501 · Cited by 26
The Behavioral Significance of Spontaneous Fluctuations in Brain Activity
Birn, R. M. (2007) · Neuron · doi:10.1016/j.neuron.2007.09.021 · Cited by 25
Das, A., & Menon, V. (2024) · eLife · doi:10.1101/2024.02.28.582593 · Cited by 27
Liu, Z., de Zwart, J. A., Chang, C., Duan, Q., van Gelderen, P., & Duyn, J. H. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht164 · Cited by 22
Piccinini, J., Ipiña, I. P., Laufs, H., Kringelbach, M. L., Deco, G., Perl, Y. S., & Tagliazucchi, E. (2021) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/5.0025543 · Cited by 25
Self-citationViczko, J., Tarrant, J., & Jackson, R. (2021) · Frontiers in Virtual Reality · doi:10.3389/frvir.2021.618381 · Cited by 28
Okazaki, Y. O., Nakagawa, Y., Mizuno, Y., Hanakawa, T., & Kitajo, K. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.608947 · Cited by 26
Demanuele, C., Broyd, S. J., Sonuga-Barke, E. J. S., & James, C. J. (2012) · Clinical Neurophysiology · doi:10.1016/j.clinph.2012.07.021 · Cited by 25
Regional cerebral blood flow increases during wakeful rest following cognitive training
Mazoyer, B. M., Houdé, O., Joliot, M., Mellet, E., & Tzourio‐Mazoyer, N. (2009) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2009.06.021 · Cited by 25
EEG-correlated fMRI of human alpha (de-)synchronization
Knaut, P., von Wegner, F., Morzelewski, A., & Laufs, H. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2019.04.715 · Cited by 25
Self-citationImpulsivity, anxiety, and individual differences in evoked and induced brain oscillations
Knyazev, G. G., Levin, E. A., & Savostyanov, A. N. (2008) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2008.02.010 · Cited by 25
Prolongation of alpha oscillations in auditory oddball paradigm
Öniz, A., & Başar, E. (2008) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2008.10.003 · Cited by 25
Dynamics of spontaneous alpha activity correlate with language ability in young children
Kwok, E. Y. L., Cardy, J. O., Allman, B. L., Allen, P., & Herrmann, B. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.10.024 · Cited by 26
Monni, A., Collison, K. L., Hill, K. E., Oumeziane, B. A., & Foti, D. (2022) · Psychophysiology · doi:10.1111/psyp.14109 · Cited by 31
Qin, J., Perdoni, C., & He, B. (2011) · PLoS ONE · doi:10.1371/journal.pone.0023124 · Cited by 25
Does throbbing pain have a brain signature?
Mo, J., Maizels, M., Ding, M., & Ahn, A. H. (2013) · Pain · doi:10.1016/j.pain.2013.02.013 · Cited by 24
Salgues, S., Plancher, G., Jacquot, L., Naveteur, J., Fanuel, L., Galvéz-García, G., & Michael, G. A. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.112880 · Cited by 25
Wang, G., & Griškova-Bulanova, I. (2018) · Addictive Behaviors · doi:10.1016/j.addbeh.2018.03.025 · Cited by 23
Neural signatures of different behavioral types in fairness norm compliance
Gianotti, L. R. R., Nash, K. A., Baumgärtner, T., Dahinden, F. M., & Knoch, D. (2018) · Scientific Reports · doi:10.1038/s41598-018-28853-5 · Cited by 23
Miao, A., Wang, Y., Xiang, J., Liu, Q., Chen, Q., Qiu, W., Liu, H., Tang, L., Gao, Y., Wu, C., et al. (2018) · Brain Topography · doi:10.1007/s10548-018-0680-5 · Cited by 23
Ghin, F., O’Hare, L., & Pavan, A. (2021) · Experimental Brain Research · doi:10.1007/s00221-021-06142-4 · Cited by 23
Fakhraei, L., Francoeur, M. J., Balasubramani, P. P., Tang, T., Hulyalkar, S., Buscher, N., Mishra, J., & Ramanathan, D. (2021) · Cerebral Cortex Communications · doi:10.1093/texcom/tgab034 · Cited by 21
Tackling the Electro-Topography of the Selves Through the Sphere Model of Consciousness
Paoletti, P., Leshem, R., PELLEGRINO, M. A., & Ben‐Soussan, T. D. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.836290 · Cited by 23
Lin, F., Polimeni, J. R., Lin, J.-F. L., Tsai, K. W., Chu, Y.-H., Wu, P., Li, Y.-T., Hsu, Y.-C., Tsai, S., & Kuo, W. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.041 · Cited by 23
Chen, Y., Cha, Y., Li, C., Shou, G., Gleghorn, D., Ding, L., & Yuan, H. (2019) · Brain Connectivity · doi:10.1089/brain.2018.0647 · Cited by 22
Jiang, H., Dai, Z., Lü, Q., & Yao, Z. (2019) · Bipolar Disorders · doi:10.1111/bdi.12871 · Cited by 22
Advances in functional MRI of the human brain
Frahm, J., Dechent, P., Baudewig, J., & Merboldt, K. D. (2004) · Progress in Nuclear Magnetic Resonance Spectroscopy · doi:10.1016/j.pnmrs.2003.11.002 · Cited by 22
Kratter, I. H., Austelle, C. W., Lissemore, J. I., Wada, M., Geoly, A. D., Chaiken, A., Kaloiani, I., Johnson, N. D., Wan, S., Kozyr, L., et al. (2026) · World Psychiatry · doi:10.1002/wps.70032 · Cited by 22
Zhang, Y., Liu, C., Li, J., Jing, X., Shi, J., & Gao, W. (2024) · Scientific Reports · doi:10.1038/s41598-024-65754-2 · Cited by 21
Lin, L., Ouyang, C., Chiang, C., Wu, R., Wu, H., & Yang, R. (2014) · JRSM Open · doi:10.1177/2054270414551657 · Cited by 21
Jaworska, N., Blondeau, C., Tessier, P., Norris, S., Fusee, W., Blier, P., & Knott, V. (2014) · Journal of Psychopharmacology · doi:10.1177/0269881114523862 · Cited by 21
EEG in Silent Small Vessel Disease
Sheorajpanday, R. V. A., Mariën, P., Weeren, A. J. T. M., Nagels, G., Saerens, J., van Putten, M. J. A. M., & Deyn, P. P. D. (2013) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0b013e3182767d15 · Cited by 26
Ehlers, C. L., Wills, D. N., Phillips, E., & Havstad, J. W. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2015.07.002 · Cited by 21
Progression to deep sleep is characterized by changes to BOLD dynamics in sensory cortices
Davis, B., Tagliazucchi, E., Jovicich, J., Laufs, H., & Hasson, U. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.034 · Cited by 21
Self-citationPrestel, M., Steinfath, T. P., Tremmel, M., Stark, R. M., & Ott, U. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00478 · Cited by 21
Physiological Signals-based Emotion Recognition via High-order Correlation Learning
Zhu, J., Wei, Y., Feng, Y., Zhao, X., & Gao, Y. (2019) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3332374 · Cited by 21
The Functional Alterations in Top-Down Attention Streams of Parkinson’s disease Measured by EEG
Yoo, H. B., de la Concha, E. O., Ridder, D. D., Pickut, B. A., & Vanneste, S. (2018) · Scientific Reports · doi:10.1038/s41598-018-29036-y · Cited by 21
Task- and EEG-correlated analyses of BOLD MRI responses to eyes opening and closing
Henning, S., Merboldt, K., & Frahm, J. (2006) · Brain Research · doi:10.1016/j.brainres.2005.12.058 · Cited by 21
Allegretta, R. A., Rovelli, K., & Balconi, M. (2024) · Healthcare · doi:10.3390/healthcare12151491 · Cited by 27
Kawano, T., Hattori, N., Uno, Y., Hatakenaka, M., Yagura, H., Fujimoto, H., Nagasako, M., Mochizuki, H., Kitajo, K., & Miyai, I. (2021) · Scientific Reports · doi:10.1038/s41598-021-91978-7 · Cited by 20
Application of Partial Directed Coherence to the Analysis of Resting-State EEG-fMRI Data
Biazoli, C. E., Sturzbecher, M. J., White, T. P., Onias, H., Andrade, K. C., de Araújo, D. B., & Sato, J. R. (2013) · Brain Connectivity · doi:10.1089/brain.2012.0135 · Cited by 19
Brain modifications after acute alcohol consumption analyzed by resting state fMRI
Spagnolli, F., Cerini, R., Cardobi, N., Barillari, M., Manganotti, P., Storti, S. F., & Mucelli, R. P. (2013) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2013.04.007 · Cited by 23
Naro, A., Leo, A., Manuli, A., Cannavò, A., Bramanti, A., Bramanti, P., & Calabrò, R. S. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.02.053 · Cited by 20
Subcortical Vascular Cognitive Impairment, No Dementia
Sheorajpanday, R. V. A., Mariën, P., Nagels, G., Weeren, A. J. T. M., Saerens, J., van Putten, M. J. A. M., & Deyn, P. P. D. (2014) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000060 · Cited by 19
Behavioral and neural concordance in parent-child dyadic sleep patterns
Lee, T., Miernicki, M. E., & Telzer, E. H. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.06.003 · Cited by 20
Schulz, S., Haueisen, J., Bär, K., & Voss, A. (2018) · Physiological Measurement · doi:10.1088/1361-6579/aace9b · Cited by 19
Li, Y., Yang, L., Li, L., Xie, Y., & Fang, P. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113586 · Cited by 19
Behavioral Studies Using Large-Scale Brain Networks – Methods and Validations
Liu, M., Amey, R. C., Backer, R., Simon, J. P., & Forbes, C. E. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.875201 · Cited by 23
Kang, J.-H., Bae, J.-H., & Jeon, Y. (2024) · Bioengineering · doi:10.3390/bioengineering11050418 · Cited by 22
Intracranial EEG evaluation of relationship within a resting state network
Duncan, D., Duckrow, R. B., Pincus, S. M., Goncharova, I. I., Hirsch, L. J., Spencer, D. D., Coifman, R. R., & Zaveri, H. P. (2013) · Clinical Neurophysiology · doi:10.1016/j.clinph.2013.03.028 · Cited by 18
Zhang, Z., Yan, T.-J., Wang, Y., Zhang, Q., Zhao, W., Chen, X., Zhai, J., Chen, M., Du, B., Deng, X., et al. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.03.039 · Cited by 19
Falahpour, M., Nalci, A., & Liu, T. T. (2018) · Brain Connectivity · doi:10.1089/brain.2018.0645 · Cited by 19
Stratton, P. G., & Wiles, J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.027 · Cited by 18
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review