Endogenous brain oscillations and related networks detected by surface EEG‐combined fMRI
Open accessAbstract
It is difficult to study the brain “at rest” with an approach generally pursued in science when external manipulation (independent variable) is used to obtain informative measurements (dependent variable) about the object of interest. External manipulation in its classic sense may suspend the resting state, and hence the object of interest will evade. Naturally, unless in a final and irreversible state, biological rest will always be an endogenously dynamic process. Combining two modalities, electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), to simultaneously measure the brain's activity from two angles, one can be chosen to be interpreted as the independent variable and the other as the dependent variable, and without external manipulation the brain's spontaneous dynamics can be studied. The EEG, for example, observes endogenous modulations of vigilance and detects spontaneous events such as sleep spindles or epileptic discharges and can be used as the independent variable, i.e., to form a regressor to interrogate the fMRI data (dependent variable). The opposite is possible as well, and data fusion attempts try using all data both as dependent and independent variables at the same time. This review limits itself to an exemplary discussion of simultaneous EEG/fMRI studies in humans, and among a variety of proposed resting state networks only discusses a few, especially those for which non‐resting state literature has proposed a functional meaning: the “default mode” network and an attentional network. It will be shown that one EEG feature can correlate with different fMRI activation maps and that a single resting state network may be associated with a variety of EEG patterns giving insight into the function of different resting states and the relationship between the two modalities in themselves. Hum Brain Mapp 2008. © 2008 Wiley‐Liss, Inc.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
EEG-informed fMRI uses EEG to separate neural components or events in time or frequency while inheriting fMRI's intrinsic spatial resolution.
“When EEG is utilized to solve the fMRI inverse problem (i.e. EEG-informed fMRI), the solution benefits from the use of EEG to separate neural components or events in time or frequency while inheriting the intrinsic spatial resolution of fMRI (116, 140).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [140]
Without sensory input, spontaneous BOLD fluctuations still correlate with underlying synaptic activity measured by LFP, ECoG, and EEG.
“In the absence of any sensory input, spontaneous BOLD fluctuations are still correlated with underlying synaptic activity observed with LFP (136, 137), ECoG (138), and EEG (139, 140).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [140]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
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 · see citing works
Rechtschaffen, A. (1968) · Medical Entomology and Zoology · Cited by 11,772 · see citing works
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 · see citing works
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 6,542 · see citing works
Hobson, J. A. (1969) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(69)90021-2 · Cited by 5,215 · see citing works
Über das Elektrenkephalogramm des Menschen
Berger, H. (1929) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/bf01797193 · Cited by 4,266 · see citing works
Movement‐Related effects in fMRI time‐series
Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S. J., & Turner, R. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350312 · Cited by 3,774 · see citing works
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 · see citing works
A default mode of brain function: a brief history of an evolving idea
Raichle, M. E., & Snyder, A. Z. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.041 · Cited by 2,173 · see citing works
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 · see citing works
Birn, R. M., Diamond, J. B., Smith, M. A., & Bandettini, P. A. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.048 · Cited by 1,342 · see citing works
Simultaneous EEG and fMRI of the alpha rhythm
Goldman, R. I., Stern, J. M., Engel, J., & Cohen, M. S. (2002) · Neuroreport · doi:10.1097/00001756-200212200-00022 · Cited by 1,131 · see citing works
Brain function in coma, vegetative state, and related disorders
Laureys, S., Owen, A. M., & Schiff, N. D. (2004) · The Lancet Neurology · doi:10.1016/s1474-4422(04)00852-x · Cited by 1,033 · see citing works
Laufs, H., Krakow, K., Sterzer, P., Eger, E., Beyerle, A., Salek-Haddadi, A., & Kleinschmidt, A. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1831638100 · Cited by 1,028 · see citing works
Self-citationEEG-correlated fMRI of human alpha activity
Laufs, H., Kleinschmidt, A., Beyerle, A., Eger, E., Salek-Haddadi, A., Preibisch, C., & Krakow, K. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00286-6 · Cited by 1,025 · see citing works
Self-citationSimultaneous EEG and fMRI of the alpha rhythm
Stern (2002) · Neuroreport · doi:10.1097/01.wnr.0000047685.08940.d0 · Cited by 945 · see citing works
Mazoyer, B., Zago, L., Mellet, E., Bricogne, S., Etard, O., Houdé, O., Crivello, F., Joliot, M., Petit, L., & Tzourio-Mazoyer, N. (2001) · Brain Research Bulletin · doi:10.1016/s0361-9230(00)00437-8 · Cited by 906 · see citing works
Shmuel, A., Augath, M., Oeltermann, A., & Logothetis, N. K. (2006) · Nature Neuroscience · doi:10.1038/nn1675 · Cited by 898 · see citing works
Hemodynamic Signals Correlate Tightly with Synchronized Gamma Oscillations
Niessing, J., Ebisch, B., Schmidt, K. E., Niessing, M., Singer, W., & Galuske, R. A. W. (2005) · Science · doi:10.1126/science.1110948 · Cited by 806 · see citing works
Birn, R. M., Smith, M. A., Jones, T. B., & Bandettini, P. A. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.11.059 · Cited by 645 · see citing works
Correlates of alpha rhythm in functional magnetic resonance imaging and near infrared spectroscopy
Moosmann, M., Ritter, P., Krastel, I., den Brink, A. M.-V., Thees, S., Blankenburg, F., Taskin, B., Obrig, H., & Villringer, A. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00344-6 · Cited by 595 · see citing works
Horovitz, S. G., Fukunaga, M., de Zwart, J. A., van Gelderen, P., Fulton, S. C., Balkin, T. J., & Duyn, J. H. (2007) · Human Brain Mapping · doi:10.1002/hbm.20428 · Cited by 592 · see citing works
Gotman, J., Grova, C., Bagshaw, A. P., Kobayashi, E., Aghakhani, Y., & Dubeau, F. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504935102 · Cited by 586 · see citing works
Functional neuroimaging of normal human sleep by positron emission tomography
Maquet (2000) · Journal of Sleep Research · doi:10.1046/j.1365-2869.2000.00214.x · Cited by 581 · see citing works
THE ELECTRO-ENCEPHALOGRAM IN EPILEPSY AND IN CONDITIONS OF IMPAIRED CONSCIOUSNESS
Gibbs, F. A. (1935) · Archives of Neurology And Psychiatry · doi:10.1001/archneurpsyc.1935.02250240002001 · Cited by 570 · see citing works
Nunez, P. L., Wingeier, B., & Silberstein, R. B. (2001) · Human Brain Mapping · doi:10.1002/hbm.1030 · Cited by 504 · see citing works
Functional neuroimaging of normal human sleep by positron emission tomography
Aquet, P. I. M. (2000) · Cited by 496 · see citing works
Hemodynamic cerebral correlates of sleep spindles during human non-rapid eye movement sleep
Schabus, M., Dang-Vu, T. T., Albouy, G., Balteau, E., Boly, M., Carrier, J., Darsaud, A., Degueldre, C., Desseilles, M., Gais, S., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0703084104 · Cited by 488 · see citing works
Endogenous Cortical Rhythms Determine Cerebral Specialization for Speech Perception and Production
Giraud, A., Kleinschmidt, A. K., Poeppel, D., Lund, T. E., Frackowiak, R. S. J., & Laufs, H. (2007) · Neuron · doi:10.1016/j.neuron.2007.09.038 · Cited by 442 · see citing works
Self-citationNon-white noise in fMRI: Does modelling have an impact?
Lund, T. E., Madsen, K. H., Sidaros, K., Luo, W., & Nichols, T. E. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.07.005 · Cited by 414 · see citing works
Monitoring the patient's EEG during echo planar MRI
Ives, J. R., Warach, S. J., Schmitt, F., Edelman, R. R., & Schomer, D. L. (1993) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(93)90156-p · Cited by 403 · see citing works
Frontal theta EEG activity correlates negatively with the default mode network in resting state
Scheeringa, R., Bastiaansen, M. C. M., Petersson, K. M., Oostenveld, R., Norris, D. G., & Hagoort, P. (2008) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2007.05.017 · Cited by 400 · see citing works
Where the BOLD signal goes when alpha EEG leaves
Laufs, H., Holt, J. L., Elfont, R. M., Krams, M., Paul, J. S., Krakow, K., & Kleinschmidt, A. K. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.002 · Cited by 394 · see citing works
Self-citationCortical and Subcortical Correlates of Electroencephalographic Alpha Rhythm Modulation
Feige, B., Scheffler, K., Esposito, F., Salle, F. D., Hennig, J., & Seifritz, E. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00721.2004 · Cited by 362 · see citing works
Correlating the alpha rhythm to BOLD using simultaneous EEG/fMRI: Inter-subject variability
Goncalves, S. I., de Munck, J. C., Pouwels, P. J. W., Schoonhoven, R., Kuijer, J. P. A., Maurits, N. M., Hoogduin, J. M., Someren, E. J. W. V., Heethaar, R. M., & Lopes, F. H. D. S. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.062 · Cited by 355 · see citing works
Concurrent EEG/fMRI analysis by multiway Partial Least Squares
Martínez‐Montes, E., Valdes-Sosa, P. A., Miwakeichi, F., Goldman, R. I., & Cohen, M. S. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.038 · Cited by 327 · see citing works
Lachaux, J.-P., Fonlupt, P., Kahane, P., Minotti, L., Hoffmann, D., Bertrand, O., & Baciu, M. (2007) · Human Brain Mapping · doi:10.1002/hbm.20352 · Cited by 326 · see citing works
Laufs, H., Hamandi, K., Salek‐Haddadi, A., Kleinschmidt, A. K., Duncan, J. S., & Lemieux, L. (2006) · Human Brain Mapping · doi:10.1002/hbm.20323 · Cited by 326 · see citing works
Self-citationNunez, P. L., & Silberstein, R. B. (2000) · Brain Topography · doi:10.1023/a:1026683200895 · Cited by 307 · see citing works
Ritter, P., & Villringer, A. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.008 · Cited by 294 · see citing works
Combining EEG and fMRI: A multimodal tool for epilepsy research
Gotman, J., Kobayashi, E., Bagshaw, A. P., Bénar, C., & Dubeau, F. (2006) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20577 · Cited by 278 · see citing works
EEG–fMRI of idiopathic and secondarily generalized epilepsies
Hamandi, K., Salek‐Haddadi, A., Laufs, H., Liston, A. D., Friston, K. J., Fish, D. R., Duncan, J. S., & Lemieux, L. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.016 · Cited by 274 · see citing works
Self-citationFunctional magnetic resonance imaging of human absence seizures
Salek‐Haddadi, A., Lemieux, L., Merschhemke, M. B., Friston, K. J., Duncan, J. S., & Fish, D. R. (2003) · Annals of Neurology · doi:10.1002/ana.10586 · Cited by 272 · see citing works
Kaufmann, C., Wehrle, R., Wetter, T. C., Holsboer, F., Auer, D. P., Pollmächer, T., & Czisch, M. (2005) · Brain · doi:10.1093/brain/awh686 · Cited by 269 · see citing works
The hemodynamic response of the alpha rhythm: An EEG/fMRI study
de Munck, J. C., Goncalves, S. I., Huijboom, L., Kuijer, J. P. A., Pouwels, P. J. W., Heethaar, R. M., & Lopes, F. H. D. S. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.01.022 · Cited by 260 · see citing works
Modelling large motion events in fMRI studies of patients with epilepsy
Lemieux, L., Salek‐Haddadi, A., Lund, T. E., Laufs, H., & Carmichael, D. W. (2007) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2007.03.009 · Cited by 240 · see citing works
Self-citationfMRI “deactivation” of the posterior cingulate during generalized spike and wave
Archer, J. S. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00294-5 · Cited by 227 · see citing works
Motion or activity: their role in intra- and inter-subject variation in fMRI
Lund, T. E., Nørgaard, M. D., Rostrup, E., Rowe, J. B., & Paulson, O. B. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.021 · Cited by 221 · see citing works
Changes in activity of striato–thalamo–cortical network precede generalized spike wave discharges
Moeller, F., Siebner, H. R., Wolff, S., Muhle, H., Boor, R., Granert, O., Jansen, O., Stephani, U., & Siniatchkin, M. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.10.058 · Cited by 201 · see citing works
Laufs, H., Lengler, U., Hamandi, K., Kleinschmidt, A. K., & Krakow, K. (2006) · Epilepsia · doi:10.1111/j.1528-1167.2006.00443.x · Cited by 199 · see citing works
Self-citationLaufs, H., Jean Daunizeau, A., Carmichael, D. W., & Kleinschmidt, A. K. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.11.039 · Cited by 193 · see citing works
Self-citationNegative BOLD responses to epileptic spikes
Kobayashi, E., Bagshaw, A. P., Grova, C., Dubeau, F., & Gotman, J. (2005) · Human Brain Mapping · doi:10.1002/hbm.20193 · Cited by 177 · see citing works
Symmetrical event-related EEG/fMRI information fusion in a variational Bayesian framework
Jean Daunizeau, A., Grova, C., Marrelec, G., Mattout, J., Jbabdi, S., Pélégrini‐Issac, M., Lina, J., & Benali, H. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.01.044 · Cited by 160 · see citing works
Biophysical model for integrating neuronal activity, EEG, fMRI and metabolism
Sotero, R. C., & Trujillo‐Barreto, N. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.08.001 · Cited by 136 · see citing works
BOLD changes occur prior to epileptic spikes seen on scalp EEG
Hawco, C. S., Bagshaw, A. P., Lu, Y., Dubeau, F., & Gotman, J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.12.042 · Cited by 133 · see citing works
Electroencephalography/functional MRI in human epilepsy: what it currently can and cannot do
Laufs, H., & Duncan, J. S. (2007) · Current Opinion in Neurology · doi:10.1097/wco.0b013e3282202b92 · Cited by 112 · see citing works
Self-citationCarmichael, D. W., Pinto, S., Limousin, P. D., Thobois, S., Allen, P. J., Lemieux, L., Yousry, T. A., & Thornton, J. S. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.058 · Cited by 109 · see citing works
Noncanonical spike‐related BOLD responses in focal epilepsy
Lemieux, L., Laufs, H., Carmichael, D. W., Paul, J. S., Walker, M. C., & Duncan, J. S. (2007) · Human Brain Mapping · doi:10.1002/hbm.20389 · Cited by 102 · see citing works
Self-citationRegional cerebral blood flow during light sleep – a H 2 15 O‐PET study
Kjær, T. W., Law, I. G., Wiltschiøtz, G., Paulson, O. B., & Madsen, P. L. (2002) · Journal of Sleep Research · doi:10.1046/j.1365-2869.2002.00303.x · Cited by 93 · see citing works
Laufs, H., Walker, M., & Lund, T. (2007) · Brain : a journal of neurology · doi:10.1093/brain/awm084 · Cited by 84 · see citing works
Self-citationDifferent Neuronal Networks Are Associated with Spikes and Slow Activity in Hypsarrhythmia
Siniatchkin, M., van Baalen, A., Jacobs, J., Moeller, F., Moehring, J., Boor, R., Wolff, S., Jansen, O., & Stephani, U. (2007) · Epilepsia · doi:10.1111/j.1528-1167.2007.01195.x · Cited by 80 · see citing works
Integrated MEG/EEG and fMRI model based on neural masses
Babajani, A., & Soltanian‐Zadeh, H. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.873748 · Cited by 76 · see citing works
Nonlinear local electrovascular coupling. I: A theoretical model
Riera, J. J., Wan, X., Jiménez, J. C., & Kawashima, R. (2006) · Human Brain Mapping · doi:10.1002/hbm.20230 · Cited by 71 · see citing works
Lu, Y., Grova, C., Kobayashi, E., Dubeau, F., & Gotman, J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.08.023 · Cited by 66 · see citing works
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 · see citing works
Self-citationA mesostate-space model for EEG and MEG
Jean Daunizeau, A., & Friston, K. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.06.034 · Cited by 44 · see citing works
The Behavioral Significance of Spontaneous Fluctuations in Brain Activity
Birn, R. M. (2007) · Neuron · doi:10.1016/j.neuron.2007.09.021 · Cited by 26 · see citing works
Tomographic mapping of alpha rhythm using simultaneous EEG/fMRI
Goldman, R. I., Stern, J. M., Engel, J., & Cohen, M. S. (2001) · NeuroImage · doi:10.1016/s1053-8119(01)92605-9 · Cited by 14 · see citing works
Martínez-Montes, E., Valdés-Sosa, P. A., Miwakeichi, F., Goldman, R. I., & Cohen, M. S. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.019
Flagged first, then by citations
Research works printed but not linked: 1
- Laufs H,Daunizeau J,Carmichael D,Kleinschmidt AK ( 2008): Recent advances in recording electrophysiological data simultaneously with magnetic resonance imaging. Neuroimage DOI: 10.1016/j.neuroimage. 2007.11.039:in press. [DOI] [PubMed] [Google Scholar] · DOI
Cited by
Sorted by citations
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 · see citing works
“…to underlying neural activity (Britz et al., 2010; Brookes et al., 2011a,b; de Pasquale et al., 2010, 2012; Fox and Raichle, 2007; He et al., 2008; Laufs, 2008, 2010; Liu et al., 2011; Mantini et al., 2007; Musso et al., 2010; Nir et al., 2007, 2008; Shmuel and Leopold, 2008) and are likely…”
BackgroundMethodDefault-mode brain dysfunction in mental disorders: A systematic review
Broyd, S. J., Demanuele, C., Debener, S., Helps, S. K., James, C. J., & Sonuga-Barke, E. J. S. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.09.002 · Cited by 1,675 · see citing works
“The possibility of incongruence between BOLD and EEG sign and the relative strengths and weaknesses of fMRI and methodologies, highlight the advantage of combining the modalities in simultaneously recording (Debener et al., 20 2006; Herrmann and Debener, 2008; Laufs, 2008).”
BackgroundAdvances and pitfalls in the analysis and interpretation of resting-state FMRI data
Cole, D. M. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00008 · Cited by 950 · see citing works
Hutchison, R. M., Womelsdorf, T., Gati, J. S., Everling, S., & Menon, R. S. (2012) · Human Brain Mapping · doi:10.1002/hbm.22058 · Cited by 715 · see citing works
“…[Biswal et al., 1995; Fox et al., 2006a; Smith et al., 2009; Vincent et al., 2007], and are believed to be of neuronal origin [Britz et al., 2010; Laufs, 2008; Mantini et al., 2007; Musso et al., 2010; Nir et al., 2008; Shmuel and Leopold, 2008], though their physiological origin remains…”
BackgroundMethodInfluentialKeeser, D., Meindl, T., Bor, J., Palm, U., Pogarell, O. M., Mulert, C., Brunelin, J., Möller, H., Reiser, M. F., & Padberg, F. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.0542-11.2011 · Cited by 585 · see citing works
“, the DMN as well as the left and right FPN), involving brain regions of higher cognitive functions (Raichle and Gusnard, 2002; Greicius et al., 2003; Damoiseaux et al., 2006; Laufs, 2008; van den Heuvel et al., 2009).”
BackgroundMeasuring functional connectivity using MEG: methodology and comparison with fcMRI
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. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.054 · Cited by 519 · see citing works
“Insight into the relationship between oscillatory processes and fcMRI network measurements has been gained from concurrent electroencephalography (EEG) and fMRI (Laufs, 2008).”
Intrinsic Coupling Modes: Multiscale Interactions in Ongoing Brain Activity
Engel, A. K., Gerloff, C., Hilgetag, C. C., & Nolte, G. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.038 · Cited by 471 · see citing works
“The studies discussed above suggest that spectrally and temporally resolved analyses of ICMs can provide important information, beyond what can be revealed by BOLD connectivity (Laufs, 2008; Deco et al., 2011).”
Musso, F., Brinkmeyer, J., Mobascher, A., Warbrick, T., & Winterer, G. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.093 · Cited by 387 · see citing works
“These spontaneous fluctuations can be defined as “changes in brain activity not externally induced or voluntarily generated by the subject which occur during relaxed wakefulness” (Raichle and Snyder, 2007; Laufs, 2008).”
BackgroundMethodInfluentialEEG-vigilance and BOLD effect during simultaneous EEG/fMRI measurement
Olbrich, S., Mulert, C., Karch, S., Trenner, M. U., Leicht, G., Pogarell, O. M., & Hegerl, U. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.11.014 · Cited by 356 · see citing works
“This finding underlines that BOLD signal activity within resting state networks might be dependent of different states of brain function (see also Laufs, 2008).”
EEG correlates of time-varying BOLD functional connectivity
Chang, C. E., Liu, Z., Chen, M. C., Liu, X., & Duyn, J. H. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.049 · Cited by 344 · see citing works
“…signatures of resting-state network activity by regressing the power in one ormore EEG frequency bands against BOLD signal time series (see (Laufs, 2008) for a review), after convolving the former with a canonical or derived hemodynamic response function (e.g. (de Munck et al., 2008;…”
InfluentialElectrophysiological source imaging: A noninvasive window to brain dynamics
He, B., Sohrabpour, A., Brown, E., & Liu, Z. (2018) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-062117-120853 · Cited by 297 · see citing works
Methods for Simultaneous EEG-fMRI: An Introductory Review
Huster, R. J., Debener, S., Eichele, T., & Herrmann, C. S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0447-12.2012 · Cited by 309 · see citing works
“Based on this clinical line of research, then intrinsic brain states reflecting cognitive default modes were identified by assessing associations between spontaneous EEG oscillations and fluctuations of the fMRI signal in resting state (Laufs et al., 2003; Laufs, 2008).”
BackgroundFunctional brain network efficiency predicts intelligence
Langer, N., Pedroni, A., Gianotti, L. R. R., Hänggi, J., Knoch, D., & Jäncke, L. (2011) · Human Brain Mapping · doi:10.1002/hbm.21297 · Cited by 282 · see citing works
“This functional coupling is present during the processing of cognitive tasks and it is even present during rest [Jann et al., 2010; Laufs, 2008].”
BackgroundDynamic causal modelling revisited
Friston, K. J., Preller, K. H., Mathys, C., Cagnan, H., Heinzle, J., Razi, A., & Zeidman, P. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.045 · Cited by 271 · see citing works
“…given the cautionary conclusion of studying endogenous brain activity as detected by surface EEG-combined fMRI: namely, "that one EEG feature can correlate with di ff erent fMRI activation maps and that a single resting state network may be associated with a variety of EEG patterns" (Laufs, 2008).”
Keeser, D., Padberg, F., Reisinger, E., Pogarell, O. M., Kirsch, V., Palm, U., Karch, S., Möller, H. ‐., Nitsche, M. A., & Mulert, C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.004 · Cited by 277 · see citing works
“, 2005) and there is evidence for a fronto-parietal network (Laufs, 2008; van den Heuvel et al., 2009).”
Hardmeier, M., Hatz, F., Bousleiman, H., Schindler, C., Stam, C. J., & Fuhr, P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0108648 · Cited by 238 · see citing works
“In particular the resting state scalp signal is difficult to interpret, albeit several studies have shown a complex relationship between resting state brain oscillations and resting state networks derived from functional MRI [48,49].”
BackgroundWhat's New in Neuroimaging Methods?
Bandettini, P. A. (2009) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.04420.x · Cited by 219 · see citing works
“In the past year, several excellent multimodal studies were carried out to demonstrate the neuronal basis of fMRI-based endogenous oscillations (de Munck et al. 2008; Hamandi et al. 2008; Helmut Laufs 2008; Shmuel & Leopold 2008).”
BackgroundInfluentialQuantitative EEG as a predictive biomarker for Parkinson disease dementia
Klassen, B. T., Hentz, J. G., Shill, H. A., Driver‐Dunckley, E. D., Evidente, V. G. H., Sabbagh, M. N., Adler, C. H., & Caviness, J. N. (2011) · Neurology · doi:10.1212/wnl.0b013e318224af8d · Cited by 215 · see citing works
Functional connectivity in resting-state fMRI: Is linear correlation sufficient?
Hlinka, J., Paluš, M., Vejmelka, M., Mantini, D., & Corbetta, M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.042 · Cited by 207 · see citing works
“…of the strongest evidence for relevance of these signal fluctuations is based on the observed direct or indirect electrophysiological correlates (Laufs, 2008; Mantini et al., 2007; Miller et al., 2009), although there is still much to be done in the field of methods for separation of neural and…”
BackgroundModel driven EEG/fMRI fusion of brain oscillations
Valdes-Sosa, P. A., Sánchez‐Bornot, J. M., Sotero, R. C., Iturria‐Medina, Y., Alemán‐Gómez, Y., Bosch‐Bayard, J., Carbonell, F., & Ozaki, T. (2008) · Human Brain Mapping · doi:10.1002/hbm.20704 · Cited by 207 · see citing works
“Such findings have been replicated and extended by several other authors as nicely reviewed by Laufs [Laufs, 2008].”
ResultResting state EEG power and coherence abnormalities in bipolar disorder and schizophrenia
Kam, J. W. Y., Bolbecker, A. R., O’Donnell, B. F., Hetrick, W. P., & Brenner, C. A. (2013) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2013.09.009 · Cited by 198 · see citing works
“Both power and coherence of electrical activity during rest have been associated with fMRI measures of Default Mode Network (DMN) functioning (Britz et al. 2010; Laufs 2008).”
EEG Theta Power Is an Early Marker of Cognitive Decline in Dementia due to Alzheimer’s Disease
Musaeus, C. S., Engedal, K., Høgh, P., Jelić, V., Mørup, M., Naik, M., Oeksengaard, A., Snædal, J., Wahlund, L., Waldemar, G., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180300 · Cited by 215 · see citing works
“Other studies have analyzed the association between qEEG and blood oxygen level dependence (BOLD) signal from fMRI, which demonstrated an inverse relationship between theta power and BOLD signal [41].”
Hanslmayr, S., Volberg, G., Wimber, M., Raabe, M., Greenlee, M. W., & Bäuml, K. T. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3140-11.2011 · Cited by 193 · see citing works
“…EEG–fMRI studies in general, which, to our knowledge, have so far mostly investigated EEG–BOLD correlations in experimentally uncontrolled settings (e.g., resting states; Debener et al., 2006; Mantini et al., 2007; Laufs, 2008), and might thus not generalize to different taskactive conditions.”
EEG Correlates of Self-Referential Processing
Knyazev, G. G. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00264 · Cited by 191 · see citing works
“Laufs (2008) noted that the failure across studies to identify an average cortical BOLD signal pattern, which is positively correlated with alpha power, may be explained by nonuniform brain activity at the population level during periods of prominent alpha oscillations which fMRI group analysis…”
BackgroundMiskovic, V., Ma, X., Chou, C.-A., Fan, M., Owens, M., Sayama, H., & Gibb, B. E. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.013 · Cited by 175 · see citing works
“…in alpha-band cycling, maturation of white matter pathways and synaptic tuning is likely to be reflected in the organization of resting state cortical networks—i.e., functionally coupled brain networks that are detectable in the absence of explicit cognitive or affective tasks (Laufs, 2008).”
Altered Resting State Cortico-Striatal Connectivity in Mild to Moderate Stage Parkinson's Disease
Kwak, Y., Peltier, S., Bohnen, N. I., Müller, M. L. T. M., Dayalu, P., & Seidler, R. D. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00143 · Cited by 184 · see citing works
Electrophysiological correlates of the BOLD signal for EEG-informed fMRI
Murta, T., Leite, M., Carmichael, D. W., Figueiredo, P., & Lemieux, L. (2015) · Human Brain Mapping · doi:10.1002/hbm.22623 · Cited by 165 · see citing works
“…timings (faster HRFs related to neuronal activity at the epileptic focus; slower HRFs related to propagated activity) [Kobayashi et al., 2009; Lemieux et al., 2008; LeVan et al., 2010b]; or spatially nonoverlapping EEG and BOLD signals [Disbrow et al., 2000; Jacobs et al., 2009; Laufs, 2008].”
Emergence of Stable Functional Networks in Long-Term Human Electroencephalography
Chu, C. J., Kramer, M., Pathmanathan, J. S., Bianchi, M. T., Westover, M. B., Wizon, L., & Cash, S. S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5669-11.2012 · Cited by 161 · see citing works
“…frequency bands might have “crosstalk” between them at any one time (Klimesch, 1996; Friston, 1997; von Stein et al., 2000; Varela et al., 2001; Laufs, 2008; He et al., 2010), thus simultaneously providing additional dimensions of information transfer across cross-frequency network…”
BackgroundTopographic Electrophysiological Signatures of fMRI Resting State Networks
Jann, K., Kottlow, M., Dierks, T., Boesch, C., & Koenig, T. W. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012945 · Cited by 167 · see citing works
“Furthermore, we expected that information about the topographic relation of EEG spectral fluctuations might help to partly resolve the issue of inconsistent and even contradicting results in the existing EEG-fMRI RSN literature (for an overview see [21]).”
ResultFunctional imaging of seizures and epilepsy
Laufs, H. (2012) · Current Opinion in Neurology · doi:10.1097/wco.0b013e3283515db9 · Cited by 162 · see citing works
Self-citationAnalysis of Multimodal Neuroimaging Data
Bießmann, F., Plis, S., Meinecke, F. C., Eichele, T., & Müller, K. (2011) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2011.2170675 · Cited by 156 · see citing works
“There has been increased interest in this topic as readily available noninvasive multimodal setups enabled researchers to easily study the neurophysiological side of these hemodynamic phenomena [63], [149], [153], [176], [236].”
BackgroundStructure out of chaos: Functional brain network analysis with EEG, MEG, and functional MRI
van Straaten, E. C. W., & Stam, C. J. (2012) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2012.10.010 · Cited by 157 · see citing works
“It is robust, easy to register and is therefore frequently used in studies (Raichle et al., 2001; Greicius et al., 2003; Damoiseaux et al., 2006; Laufs, 2008; de Pasquale et al., 2010).”
MethodAutomatic sleep staging using fMRI functional connectivity data
Tagliazucchi, E., von Wegner, F., Morzelewski, A., Borisov, S. V., Jahnke, K., & Laufs, H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.036 · Cited by 152 · see citing works
“…of paroxysmal EEG events (such as pathological epileptiform discharges and physiological paroxysms occurring during sleep (Hamandi et al., 2004; Laufs, 2007; Laufs and Duncan, 2007)) to resting state brain activity associated with characteristic EEG patterns such as wakeful rest and sleep…”
BackgroundSelf-citationDirect electrophysiological measurement of human default network areas
Miller, K. J., Weaver, K. E., & Ojemann, J. G. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0902071106 · Cited by 149 · see citing works
“A few studies have combined concurrent measurements of EEG and BOLD-fMRI (7, 12–14) with mixed results.”
BackgroundInfluentialFornito, A., & Bullmore, E. T. (2010) · Current Opinion in Psychiatry · doi:10.1097/yco.0b013e328337d78d · Cited by 142 · see citing works
EEG functional connectivity is partially predicted by underlying white matter connectivity
Chu, C. J., Tanaka, N., Diaz, J., Edlow, B. L., Wu, O., Hämäläinen, M., Stufflebeam, S., Cash, S. S., & Kramer, M. A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.033 · Cited by 135 · see citing works
“…of complex signals between and across different frequency bands support and encode the integration of simultaneous brain processes (Buzsáki, 2004; Buzsáki and Draguhn, 2004; Fries, 2005; Singer, 1999; Fingelkurts and Fingelkurts, 2004; Laufs, 2008; Bullmore and Sporns, 2009; Deco et al., 2011).”
InfluentialHutchison, R. M., & Everling, S. (2012) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2012.00029 · Cited by 140 · see citing works
“…has begun to reconcile these findings by ascribing unique electrophysiological signatures to different brain states and RSNs that are represented by power variations across the EEG range (Laufs et al., 2003; Mantini et al., 2007; Britz et al., 2010; Musso et al., 2010; for review see Laufs, 2008).”
BackgroundInfluentialOzdemir, R. A., Tadayon, E., Boucher, P. O., Momi, D., Karakhanyan, K., Fox, M., Halko, M. A., Pascual‐Leone, Á., Shafi, M. M., & Santarnecchi, E. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1911240117 · Cited by 142 · see citing works
Separating vascular and neuronal effects of age on fMRI BOLD signals
Tsvetanov, K. A., Henson, R. N., & Rowe, J. B. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0631 · Cited by 127 · see citing works
“For example, M/EEG can be used to identify neuronal components and events beyond the temporal resolution of fMRI (Laufs, 2008; Ritter and Villringer, 2006), while fMRI can be used to improve the spatial resolution of M/EEG signals (He and Liu, 2008; Henson et al.”
MethodReithler, J., Peters, J. C., & Sack, A. T. (2011) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2011.04.004 · Cited by 124 · see citing works
To wake or not to wake? The two-sided nature of the human K-complex
Jahnke, K., von Wegner, F., Morzelewski, A., Borisov, S. V., Maischein, M., Steinmetz, H., & Laufs, H. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.013 · Cited by 124 · see citing works
“We have learned from EEG-fMRI studies that BOLD-correlates of EEG phenomena (oscillations, epileptiform discharges) do not necessarily indicate their sources but rather widespread brain activity in the sense of downstream or effects of propagation (Laufs, 2008; Laufs and Duncan, 2007).”
Self-citationSleep and the functional connectome
Picchioni, D., Duyn, J. H., & Horovitz, S. G. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.067 · Cited by 115 · see citing works
“, power in alpha, delta, and sub-delta bands, K-complexes, spindles, see Table 1) have been studied in combination with fMRI (Andrade et al., 2011; Bergmann et al., 2012; Dang-Vu et al., 2005; Hofle et al., 1997; Jahnke et al., 2012; Larson-Prior et al., 2011; Laufs, 2008; Laufs et al., 2006; Olbrich et al., 2009; Pic…”
Dynamic changes of ICA‐derived EEG functional connectivity in the resting state
Chen, J., Ros, T., & Gruzelier, J. H. (2012) · Human Brain Mapping · doi:10.1002/hbm.21475 · Cited by 119 · see citing works
“…be combined with fMRI to study baseline functions and oscillations within a more dynamic architecture of the human brain [Gusnard et al., 2001; Laufs, 2008; Mantini et al., 2007], by spatiotemporally decomposing the complex dynamics associated with multiple EEG frequencies simultaneously…”
BackgroundThe neural substrate for dreaming: is it a subsystem of the default network?
William Domhoff, G. (2011) · Consciousness and Cognition · doi:10.1016/j.concog.2011.03.001 · Cited by 118 · see citing works
“…the possibility that dreaming is generated by a subsystem of the default network because there is evidence that the default network is still active at sleep onset and into Stage 2 of NREM before Stages 3 and 4 occur (Horovitz et al., 2009; Laufs, 2008, for a review and critique of several studies).”
BackgroundResultEEG-fMRI INTEGRATION: A CRITICAL REVIEW OF BIOPHYSICAL MODELING AND DATA ANALYSIS APPROACHES
Rosa, M. J., Jean Daunizeau, A., & Friston, K. J. (2010) · Journal of Integrative Neuroscience · doi:10.1142/s0219635210002512 · Cited by 114 · see citing works
Dreaming and the default network: A review, synthesis, and counterintuitive research proposal
Domhoff, G. W., & Fox, K. C. R. (2015) · Consciousness and Cognition · doi:10.1016/j.concog.2015.01.019 · Cited by 111 · see citing works
“…episodes of dreaming during the complex and mul- 71 tifaceted sleep-onset process and into Stage 2 of NREM, before Stages 3 and 4 occur (e.g., Horovitz, 2008; Larson-Prior et al., 72 2009; Laufs, 2008, for a review; Laufs, Walker, & Lund, 2007; Sämann et al., 2011; Tagliazucchi et al., 2013).”
Genuine high-order interactions in brain networks and neurodegeneration
Herzog, R. A., Rosas, F. E., Whelan, R., Fittipaldi, S., Santamaría‐García, H. A., Cruzat, J., Birba, A., Moguilner, S., Tagliazucchi, E., Prado, P., et al. (2022) · Neurobiology of Disease · doi:10.1016/j.nbd.2022.105918 · Cited by 109 · see citing works
“Leveraging the multimodal application of this framework, the GSA was separately applied to fMRI and source space EEG filtered in 5 canonical bands (δ, θ, α, β, and γ) (Laufs, 2008).”
Estimating the transfer function from neuronal activity to BOLD using simultaneous EEG-fMRI
Rosa, M. J., Kilner, J., Blankenburg, F., Josephs, O., & Penny, W. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.011 · Cited by 105 · see citing works
A personalized history of EEG–fMRI integration
Laufs, H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.039 · Cited by 103 · see citing works
“Vice versa, we had also observed that different EEG phenomena could all produce more or less the same fMRI pattern (Laufs, 2008), Fig.”
BackgroundSelf-citationPark, S. M., Lee, J. Y., Kim, Y. J., Lee, J., Jung, H. Y., Sohn, B. K., Kim, D., & Choi, J. (2017) · Scientific Reports · doi:10.1038/s41598-017-01419-7 · Cited by 100 · see citing works
Predictive Coding or Evidence Accumulation? False Inference and Neuronal Fluctuations
Hesselmann, G., Sadaghiani, S., Friston, K. J., & Kleinschmidt, A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009926 · Cited by 117 · see citing works
“Furthermore, the general picture from combined EEG and fMRI studies [18] suggests that increases in fast oscillatory activity elevate BOLD signals.”
BackgroundThe contribution of electrophysiology to functional connectivity mapping
Schölvinck, M. L., Leopold, D. A., Brookes, M. J., & Khader, P. H. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.010 · Cited by 96 · see citing works
“In that vein, several recent studies have attempted 99 to specify the relationship between spontaneous electrical and hemo- 100 dynamic signals in the brain (Laufs, 2008; Shmuel and Leopold, 101 2008).”
BackgroundLi, Q., Luo, C., Yang, T., Yao, Z., He, L., Liu, L., Xu, H., Gong, Q., Yao, D., & Zhou, D. (2009) · Epilepsy Research · doi:10.1016/j.eplepsyres.2009.08.018 · Cited by 95 · see citing works
“…with the findings of previous studies (Salek-Haddadi et al., 2003; Aghakhani et al., 2004; Labate et al., 2005; Hamandi et al., 2006; Laufs et al., 2006; Moeller et al., 2008a) and has been interpreted in the context of the ‘‘default mode network’’ (Raichle and Mintun, 2006; Laufs, 2008).”
BackgroundPatterned functional network disruption in amyotrophic lateral sclerosis
Dukic, S., McMackin, R., Buxó, T., Fasano, A., Chipika, R. H., Pinto‐Grau, M., Costello, E., Schuster, C., Hammond, M., Heverin, M., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24740 · Cited by 93 · see citing works
“These spectral signatures of connectivity require high temporal resolution and cannot be captured by fMRI (Hipp, Hawellek, Corbetta, Siegel, & Engel, 2012; Laufs, 2008).”
BackgroundRoh, J. H., Park, M. H., Ko, D., Park, K. W., Lee, D.-H., Han, C., Jo, S. A., Yang, K., & Jung, K. (2011) · Clinical Neurophysiology · doi:10.1016/j.clinph.2011.03.023 · Cited by 87 · see citing works
“…the QEEG and blood oxygen level dependence (BOLD) signals of fMRI demonstrated a relationship between the alpha to beta band oscillations and BOLD signals and an inverse relationship between theta band oscillation and BOLD signals (Laufs, 2008; Raichle et al., 2001; Scheeringa et al., 2008).”
Effects of cranial electrotherapy stimulation on resting state brain activity
Feusner, J. D., Madsen, S. K., Moody, T. D., Bohon, C., Hembacher, E., Bookheimer, S. Y., & Bystritsky, A. (2012) · Brain and Behavior · doi:10.1002/brb3.45 · Cited by 87 · see citing works
Advances in multimodal neuroimaging: Hybrid MR–PET and MR–PET–EEG at 3T and 9.4T
Shah, N. J., Oros‐Peusquens, A., Arrubla, J., Zhang, K., Warbrick, T., Mauler, J., Vahedipour, K., Romanzetti, S., Felder, J., Celik, A., et al. (2012) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2012.11.027 · Cited by 86 · see citing works
“This restriction can be overcome by the simultaneous measurement of fMRI and electrophysiology [22–24].”
BackgroundOn wakefulness fluctuations as a source of BOLD functional connectivity dynamics
Haimovici, A., Tagliazucchi, E., Balenzuela, P., & Laufs, H. (2017) · Scientific Reports · doi:10.1038/s41598-017-06389-4 · Cited by 80 · see citing works
Self-citationKwak, Y., Peltier, S., Bohnen, N. I., Müller, M. L. T. M., Dayalu, P., & Seidler, R. D. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00052 · Cited by 80 · see citing works
“Simultaneous EEG and fMRI studies have also shown that the EEG signal in these different frequency bands collectively contributes to BOLD oscillations (Moosmann et al., 2003; Laufs, 2008; de Munck et al., 2009; Britz et al., 2010; Musso et al., 2010; Rosa et al., 2010).”
BackgroundYuan, H., Ding, L., Zhu, M., Zotev, V. S., Phillips, R., & Bodurka, J. (2015) · Brain Connectivity · doi:10.1089/brain.2014.0336 · Cited by 94 · see citing works
“Thus, it is difficult to relate the scalp patterns of EEG to the anatomical structures of BOLD-fMRI-RSNs even though their time courses have been found to be correlated (Laufs, 2008; Mantini et al., 2007; Yuan et al., 2012), which hinders locating the specific electrophysiological origin of fMRI-RSNs.”
Neuroimaging Insights into Insomnia
Spiegelhalder, K., Regen, W., Baglioni, C., Nissen, C., Riemann, D. W., & Kyle, S. D. (2015) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-015-0527-3 · Cited by 75 · see citing works
Januszko, P., Niemcewicz, S., Gajda, T., Wołyńczyk-Gmaj, D., Piotrowska, A. J., Gmaj, B., Piotrowski, T., & Szelenberger, W. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.01.014 · Cited by 74 · see citing works
“…17–23 Hz range was identified as the activity in the brain default mode network (Laufs et al., 2003), although each functional network can be distinguished by electrophysiological signature including more than one different band or subband (Engel and Fries, 2010; Laufs, 2008; Neuner et al., 2014).”
BackgroundEEG correlates of spontaneous self-referential thoughts: a cross-cultural study.
Knyazev, G., Savostyanov, A., Volf, N., Liou, M., & Bocharov, A. (2012) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2012.09.002 · Cited by 68 · see citing works
Cannabinoid Modulations of Resting State EEG Theta Power and Working Memory Are Correlated in Humans
Böcker, K. B. E., Hunault, C. C., Gerritsen, J., Kruidenier, M., Mensinga, T. T., & Kenemans, J. L. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21355 · Cited by 69 · see citing works
“Their relationships with fluctuations of resting EEG oscillations are only starting to be explored (Laufs, 2008).”
BackgroundGroup independent component analysis of resting state EEG in large normative samples
Congedo, M., John, R. E., Ridder, D. D., & Prichep, L. S. (2010) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2010.06.003 · Cited by 63 · see citing works
Hemodynamic Correlates of Electrophysiological Activity in the Default Mode Network
Marino, M., Arcara, G., Porcaro, C., & Mantini, D. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01060 · Cited by 61 · see citing works
“In fact, approaches based on EEG recordings do not enable an exact match between EEG and fMRI measurements in a common reference system, i.e., the brain volume (Laufs, 2008; Ostwald et al., 2011).”
BackgroundMethodNeuroimaging Studies in Insomnia
Spiegelhalder, K., Regen, W., Baglioni, C., Riemann, D. W., & Winkelman, J. W. (2013) · Current Psychiatry Reports · doi:10.1007/s11920-013-0405-0 · Cited by 61 · see citing works
“With respect to upcoming technologies, the possibility to combine fMRI with EEG measurements may be particularly promising for insomnia research [58, 59].”
Moderating effects of music on resting state networks
Kay, B. P., Meng, X., DiFrancesco, M. W., Holland, S. K., & Szaflarski, J. P. (2012) · Brain Research · doi:10.1016/j.brainres.2012.01.064 · Cited by 60 · see citing works
“Such oscillations have been observed using a variety of recording modalities including fMRI (Biswal et al. 1995), PET (Raichle et al. 2001), EEG (Laufs, 2008), MEG (Stam et al. 2006), and even direct electrical recordings from the surface of the brain (Miller et al. 2009).”
BackgroundJacob, M., Roach, B. J., Sargent, K., Mathalon, D. H., & Ford, J. M. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118705 · Cited by 59 · see citing works
“The neurometabolic correlates of periodic EEG activity have been examined using simultaneous EEG-fMRI (Laufs, 2008).”
Neural mechanisms of acupuncture as revealed by fMRI studies
He, T., Zhu, W. X., Du, S., Yang, J., Li, F., Yang, B.-F., Shi, G., & Liu, C. (2015) · Autonomic Neuroscience · doi:10.1016/j.autneu.2015.03.006 · Cited by 59 · see citing works
“Combing fMRI with EEG/MEG or PET or combing the BOLD single with the CBF may be likely to be a new direction of neuroimaging studies on mechanisms of acupuncture (Jiang et al., 2012; Laufs, 2008; You et al., 2013; Zhang et al., 2012b).”
MethodAdaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI
Marino, M., Liu, Q., Koudelka, V., Porcaro, C., Hlinka, J., Wenderoth, N., & Mantini, D. (2018) · Scientific Reports · doi:10.1038/s41598-018-27187-6 · Cited by 60 · see citing works
“(2) BCG artifact reconstruction and subtraction (Fig.”
MethodFunctional connectivity and oscillatory neuronal activity in the resting human brain
Ganzetti, M., & Mantini, D. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2013.02.032 · Cited by 57 · see citing works
Castelhano, J., Duarte, I. C., Wibral, M., Rodríguez, E., & Castelo-Branco, M. S. (2014) · Human Brain Mapping · doi:10.1002/hbm.22545 · Cited by 54 · see citing works
“The resulting predictors were introduced in the general linear model (GLM) design matrix [Huster et al., 2012; Laufs, 2008; Michels et al., 2010] as in event-related fMRI designs.”
BackgroundMethodInfluentialLu, H., Wang, L., Rea, W. P., Brynildsen, J. K., Jaime, S., Zuo, Y., Stein, E. A., & Yang, Y. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu248 · Cited by 52 · see citing works
“Human EEG and MEG studies generally reported broad linkage between brain electrical activity and rsMRI signal (Mantini et al. 2007; Laufs 2008; de Pasquale et al. 2010; Hlinka et al. 2010).”
BackgroundMullinger, K. J., & Bowtell, R. W. (2010) · Methods in molecular biology · doi:10.1007/978-1-61737-992-5_15 · Cited by 53 · see citing works
Michels, L., Muthuraman, M., Lüchinger, R., Martin, E., Anwar, A. R., Raethjen, J., Brandeis, D., & Siniatchkin, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.030 · Cited by 49 · see citing works
“Although these brain electric oscillations of different frequencies can be attributed to the activity of complex neuronal networks (Laufs, 2008), knowledge about structures which constitute these networks and how they are related to each other (functional connectivity), and about information…”
Automated detection and labeling of high-density EEG electrodes from structural MR images
Marino, M., Liu, Q., Brem, S., Wenderoth, N., & Mantini, D. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/5/056003 · Cited by 51 · see citing works
“Notably, the MR scanning of a participant wearing an EEG net can be easily performed in simultaneous EEG-fMRI experiments (Laufs 2008).”
BackgroundJäncke, L., & Langer, N. (2011) · Journal of Neuropsychology · doi:10.1111/j.1748-6653.2011.02004.x · Cited by 45 · see citing works
Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
Mullinger, K. J., Castellone, P., & Bowtell, R. W. (2013) · Journal of Visualized Experiments · doi:10.3791/50283 · Cited by 44 · see citing works
Le réseau cérébral par défaut : rôle cognitif et perturbations dans la pathologie
Mevel, K., Grassiot, B., Chételat, G., Defer, G. L., Desgranges, B., & Eustache, F. (2010) · Revue Neurologique · doi:10.1016/j.neurol.2010.01.008 · Cited by 43 · see citing works
Electrophysiological signatures of spontaneous BOLD fluctuations in macaque prefrontal cortex
Hutchison, R. M., Hashemi, N., Gati, J. S., Menon, R. S., & Everling, S. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.03.062 · Cited by 41 · see citing works
“If we are to understand the possible roles of functional coupling in normal brain function and inthe disruption of disease, then it is first necessary to elucidate the relationship between these two signals (Laufs, 2008; Leopold and Maier, 2012; Schölvinck et al., 2013).”
BackgroundCellular and circuit models of increased resting-state network gamma activity in schizophrenia
White, R. S., & Siegel, S. J. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.11.011 · Cited by 42 · see citing works
Test‐retest reliability of EEG network characteristics in infants
van der Velde, B., Haartsen, R., & Kemner, C. (2019) · Brain and Behavior · doi:10.1002/brb3.1269 · Cited by 43 · see citing works
Ramkumar, P., Parkkonen, L. T., Hari, R., & Hyvärinen, A. (2011) · Human Brain Mapping · doi:10.1002/hbm.21303 · Cited by 43 · see citing works
“…of and statistical inferences about the brain at rest, electrophysiological accounts of the brain’s resting state [de Pasquale et al., 2010; Laufs, 2008; Mantini et al., 2007] would benefit from a data-driven characterization of the dynamics of brain rhythms over time scales of minutes.”
BackgroundKam, 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 · see citing works
“Of relevance, the power of EEG activity during rest has been associated with activity within the default mode network (Britz et al., 2010; Laufs, 2008), a neural network that is generally more active during rest than task performance (Greicius et al.”
Validation of regression‐based myogenic correction techniques for scalp and source‐localized EEG
McMenamin, B. W., Shackman, A. J., Maxwell, J. S., Greischar, L. L., & Davidson, R. J. (2009) · Psychophysiology · doi:10.1111/j.1469-8986.2009.00787.x · Cited by 42 · see citing works
“Because alpha represents an inverse measure of cerebral activity (Davidson et al., 2000; Allen et al., 2004; Oakes et al., 2004; Romei, Brodbeck,Michel, Amedi, Pascual-Leone, & Thut, 2007; Laufs, 2008), we interpreted reductions in power as indicative of greater cerebral activation.”
BackgroundEEG–BOLD correlations during (post-)adolescent brain maturation
Lüchinger, R., Michels, L., Martin, E., & Brandeis, D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.050 · Cited by 40 · see citing works
“The exact physiological relationship between EEG amplitudes and the fMRI blood oxygen-level dependency (BOLD) signal remains unclear (Laufs, 2008).”
BackgroundMencarelli, L., Menardi, A., Neri, F., Monti, L., Ruffini, G., Salvador, R., Pascual‐Leone, Á., Momi, D., Sprugnoli, G., Rossi, A., et al. (2020) · Journal of Neuroscience Research · doi:10.1002/jnr.24690 · Cited by 41 · see citing works
“…signatures of RSNs (Britz, Van De Ville, & Michel, 2010; Chang, Liu, Chen, Liu, & Duyn, 2013; Chen, Feng, Zhao, Yin, & Wang, 2008; Feige et al., 2017; Laufs, 2008; Liu, Ganzetti, Wenderoth, & Mantini, 2018; Sadaghiani et al., 2010; Tagliazucchi, von Wegner, Morzelewski, Brodbeck, & Laufs, 2012).”
Cortical beta oscillations reflect the contextual gating of visual action feedback
Limanowski, J., Vladimir Litvak, A., & Friston, K. J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117267 · Cited by 40 · see citing works
Resting State EEG in Children With Learning Disabilities
Jäncke, L., & Alahmadi, N. (2015) · Clinical EEG and Neuroscience · doi:10.1177/1550059415612622 · Cited by 37 · see citing works
An EEG study of brain connectivity dynamics at the resting state.
Dimitriadis, S. I., Laskaris, N., Tsirka, V., Vourkas, M., & Micheloyannis, S. (2012) · PubMed · Cited by 37 · see citing works
Rothlübbers, S., Relvas, V., Leal, A., Murta, T., Lemieux, L., & Figueiredo, P. (2014) · Brain Topography · doi:10.1007/s10548-014-0408-0 · Cited by 36 · see citing works
Clark, S., King, T. Z., & Turner, J. A. (2020) · Neuropsychology Review · doi:10.1007/s11065-020-09432-w · Cited by 35 · see citing works
“Methods with better temporal resolution such as electroencephalography (EEG) and combined fMRI/EEG could also possibly help characterize interactions among brain regions at millisecond resolution to investigate internal model formation during inhibitory control (Laufs, 2008).”
BackgroundExploring the electrophysiological correlates of the default-mode network with intracerebral EEG
Jerbi (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00027 · Cited by 133 · see citing works
Epileptic networks in action: Synchrony between distant hemodynamic responses
Khoo, H. M., von Ellenrieder, N., Zazubovits, N., Dubeau, F., & Gotman, J. (2017) · Annals of Neurology · doi:10.1002/ana.24973 · Cited by 34 · see citing works
Pscherer, C., Bluschke, A., Prochnow, A., Eggert, E., Mückschel, M., & Beste, C. (2020) · Human Brain Mapping · doi:10.1002/hbm.25178 · Cited by 33 · see citing works
“Because such endogenous activity is also characteristic for resting EEG activity across different frequency bands (Hiltunen et al., 2014; Knyazev, 2013; Laufs, 2008), there may be a link between resting theta band activity and theta-based activity evident during conflict monitoring.”
BackgroundExploring mechanisms of psychedelic action using neuroimaging
Erritzøe, D., Timmermann, C., Godfrey, K. E. M., Castro-Rodrigues, P., Peill, J. M., Carhart-Harris, R. L., Nutt, D., & Wall, M. B. (2024) · Nature Mental Health · doi:10.1038/s44220-023-00172-3 · Cited by 33 · see citing works
“Alpha-wave power has also been found to be correlated with connectivity in the DMN during simultaneous EEG–fMRI recordings 92 , and functions attributed to the DMN are closely connected with those of alpha power.”
Predictability modulates the anticipation and perception of pain in both self and others
Peng, W., Huang, X.-X., Liu, Y., & Cui, F. (2019) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsz047 · Cited by 31 · see citing works
“The functional state of distributed cortical networks could be indexed by ongoing neuronal oscillations (Laufs, 2008; de Silva, 2013) as effectively measured by electroencephalography (EEG) or magnetoencephalography.”
BackgroundRoberts, R. P., Hach, S., Tippett, L. J., & Addis, D. R. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.028 · Cited by 32 · see citing works
Endogenous oscillations and networks in functional magnetic resonance imaging
Bandettini, P. A., & Bullmore, E. T. (2008) · Human Brain Mapping · doi:10.1002/hbm.20607 · Cited by 32 · see citing works
“Laufs H (2008): Endogenous brain oscillations and related net-”
Background
- Authors
- Laufs, H.
- Affiliations
- Goethe University Frankfurt (DE)
- Corresponding author
- Laufs, Helmut
- ORCID
- Laufs, Helmut
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2008-05-08
- Volume
- 29
- Issue
- 7
- Pages
- 762-769
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC6871214
- OpenAlex
- W2168037393
- Cited by
- 194
- References
- 68
- Citations by year
- 2026: 8 · 2025: 3 · 2024: 3 · 2023: 4 · 2022: 4 · 2021: 6 · 2020: 10 · 2019: 6 · 2018: 5 · 2017: 9 · 2016: 7 · 2015: 20 · 2014: 11 · 2013: 24 · 2012: 20
- FWCI
- 1.38
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- resting state, simultaneous EEG-fMRI, default mode network, attentional networks, sleep spindles, sustained attention
- MeSH terms
- Brain, Brain Mapping, Electroencephalography, Humans, Magnetic Resonance Imaging, Nerve Net
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
