Simultaneous EEG–fMRI acquisition at low, high and ultra-high magnetic fields up to 9.4T: Perspectives and challenges

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

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 · see citing works

Updating P300: An integrative theory of P3a and P3b

Polich, J. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.04.019 · Cited by 7,919 · see citing works

Neuronal Oscillations in Cortical Networks

Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576 · see citing works

MR diffusion tensor spectroscopy and imaging

Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970 · see citing works

Removing electroencephalographic artifacts by blind source separation

Jung, T., Makeig, S., Humphries, C., Lee, T.-W., McKeown, M. J., Iragui, V. J., & B, T. J. S. A. (2000) · Psychophysiology · doi:10.1111/1469-8986.3720163 · Cited by 3,342 · see citing works

Functional imaging studies of emotion regulation: a synthetic review and evolving model of the cognitive control of emotion

Ochsner, K. N., Silvers, J. A., & Buhle, J. T. (2012) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2012.06751.x · Cited by 1,879 · see citing works

Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging. A comparison of signal characteristics with a biophysical model

Ogawa, S., Menon, R. S., Tank, D. W., Kim, S. G., Merkle, H., Ellermann, J. M., & Ugurbil, K. (1993) · Biophysical Journal · doi:10.1016/s0006-3495(93)81441-3 · Cited by 1,772 · see citing works

Mining event-related brain dynamics

Makeig, S., Debener, S., Onton, J., & Arnaud Delorme, A. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.03.008 · Cited by 1,499 · see citing works

A Method for Removing Imaging Artifact from Continuous EEG Recorded during Functional MRI

Allen, P. J., Josephs, O., & Turner, R. (2000) · NeuroImage · doi:10.1006/nimg.2000.0599 · Cited by 1,301 · see citing works

Identification of EEG Events in the MR Scanner: The Problem of Pulse Artifact and a Method for Its Subtraction

Allen, P. J., Polizzi, G., Krakow, K., Fish, D. R., & Lemieux, L. (1998) · NeuroImage · doi:10.1006/nimg.1998.0361 · Cited by 914 · see citing works

Towards the utilization of EEG as a brain imaging tool

Michel, C. M., & Murray, M. M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.039 · Cited by 741 · see citing works

Removal of FMRI environment artifacts from EEG data using optimal basis sets

Niazy, R. K., Beckmann, C. F., Iannetti, G. D., Brady, J. M., & Smith, S. M. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.067 · Cited by 569 · see citing works

Intrinsic Connectivity Networks, Alpha Oscillations, and Tonic Alertness: A Simultaneous Electroencephalography/Functional Magnetic Resonance Imaging Study

Sadaghiani, S., Scheeringa, R., Lehongre, K., Morillon, B., Giraud, A.-L., & Kleinschmidt, A. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.1004-10.2010 · Cited by 504 · see citing works

Single-trial EEG–fMRI reveals the dynamics of cognitive function

Debener, S., Ullsperger, M., Siegel, M., & Engel, A. K. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.09.010 · Cited by 428 · 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

Neural bases of learning and memory: functional neuroimaging evidence

Cabeza, R. E. L., & Nyberg, L. H. (2000) · Current Opinion in Neurology · doi:10.1097/00019052-200008000-00008 · Cited by 393 · see citing works

Grey matter differences in bipolar disorder: a meta-analysis of voxel-based morphometry studies

Selvaraj, S., Arnone, D., Job, D., Stanfield, A., Farrow, T. F., Nugent, A. C., Scherk, H., Gruber, O., Chen, X., Sachdev, P. S., et al. (2012) · Bipolar Disorders · doi:10.1111/j.1399-5618.2012.01000.x · Cited by 341 · see citing works

The neural correlates of person familiarity: a functional magnetic resonance imaging study with clinical implications

Shah, N. J. (2001) · Brain · doi:10.1093/brain/124.4.804 · Cited by 312 · see citing works

Recording of EEG during fMRI experiments: Patient safety

Lemieux, L., Allen, P. J., Franconi, F., Symms, M. R., & Fish, D. R. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910380614 · Cited by 311 · 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

On the Relationship of Synaptic Activity to Macroscopic Measurements: Does Co-Registration of EEG with fMRI Make Sense?

Nunez, P. L., & Silberstein, R. B. (2000) · Brain Topography · doi:10.1023/a:1026683200895 · Cited by 307 · see citing works

Independent Component Analysis as a Tool to Eliminate Artifacts in EEG: A Quantitative Study

Iriarte, J., Urrestarazu, E., Valencia, M., Alegre, M., Malanda, A., Viteri, C., & Artieda, J. (2003) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-200307000-00004 · Cited by 290 · see citing works

Microdialysis and SPECT measurements of amphetamine-induced dopamine release in nonhuman primates

Laruelle, M. A., Iyer, R. N., Al‐Tikriti, M. S., Zea‐Ponce, Y., Malison, R. T., Zoghbi, S. S., Baldwin, R. M., Kung, H. F., Charney, D. S., Hoffer, P. B., et al. (1997) · Synapse · doi:10.1002/(sici)1098-2396(199701)25:1 · Cited by 264 · see citing works

The relation of ongoing brain activity, evoked neural responses, and cognition

Sadaghiani, S. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00020 · Cited by 225 · see citing works

Diffusion tensor imaging in parkinsonian syndromes

Cochrane, C. J., & Ebmeier, K. P. (2013) · Neurology · doi:10.1212/wnl.0b013e318284070c · Cited by 225 · see citing works

Motion and Ballistocardiogram Artifact Removal for Interleaved Recording of EEG and EPs during MRI

Bonmassar, G. (2002) · NeuroImage · doi:10.1006/nimg.2002.1125 · Cited by 216 · see citing works

Properties of the ballistocardiogram artefact as revealed by EEG recordings at 1.5, 3 and 7 T static magnetic field strength

Debener, S., Mullinger, K. J., Niazy, R. K., & Bowtell, R. W. (2007) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2007.05.015 · Cited by 206 · see citing works

Signal and noise characteristics of Hahn SE and GE BOLD fMRI at 7 T in humans

Yacoub, E. S., de Moortele, P. V., Shmuel, A., & Uǧurbil, K. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.09.002 · Cited by 197 · see citing works

Layer-specific fMRI reflects different neuronal computations at different depths in human V1

Olman, C. A., Harel, N., Feinberg, D. A., He, S., Zhang, P., Ugurbil, K., & Yacoub, E. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032536 · Cited by 194 · see citing works

Recent advances in recording electrophysiological data simultaneously with magnetic resonance imaging

Laufs, 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

Voxelwise meta-analysis of gray matter anomalies in Alzheimer's disease and mild cognitive impairment using anatomic likelihood estimation

Yang, J., Pan, P., Song, W., Huang, R., Li, J., Chen, K., Gong, Q., Zhong, J., Shi, H., & Shang, H. (2012) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2012.02.010 · Cited by 157 · see citing works

Automatic 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

High resolution BrainPET combined with simultaneous MRI

Langen, K., Weirich, C., Kops, E. R., Kaffanke, J. B., Tellmann, L., Scheins, J. J., Neuner, I., Stoffels, G., Fischer, K., Caldeira, L., et al. (2011) · Nuklearmedizin - NuclearMedicine · doi:10.3413/nukmed-0347-10-09 · Cited by 147 · see citing works

Simultaneous intracranial EEG and fMRI of interictal epileptic discharges in humans

Vulliémoz, S., Carmichael, D. W., Rosenkranz, K., Diehl, B., Rodionov, R., Walker, M. C., McEvoy, A. W., & Lemieux, L. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.004 · Cited by 145 · see citing works

EEG correlated functional MRI and postoperative outcome in focal epilepsy

Thornton, R., Laufs, H., Rodionov, R., Cannadathu, S., Carmichael, D. W., Vulliémoz, S., Salek‐Haddadi, A., McEvoy, A. W., Smith, S. J. M., Lhatoo, S. D., et al. (2010) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2009.196253 · Cited by 145 · see citing works

Which “neural activity” do you mean? fMRI, MEG, oscillations and neurotransmitters

Singh, K. D. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.028 · Cited by 136 · see citing works

Overexpression of ANXA1 in Penile Carcinomas Positive for High-Risk HPVs

Calmon, M. F., Mota, M. T. D. O., Babeto, É., Cândido, N. M., Girol, A. P., Mendiburu, C. F., Bonilha, J. L., Silvestre, R. V. D., Rosa, B. M., Thomé, J. A., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0053260 · Cited by 136 · see citing works

Combined PET/MRI: one step further in multimodality imaging

Sauter, A. W., Wehrl, H. F., Kolb, A., Judenhofer, M. S., & Pichler, B. J. (2010) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2010.08.003 · Cited by 133 · see citing works

[11C]Flumazenil Positron Emission Tomography Visualizes Frontal Epileptogenic Regions

Savić, I., Thorell, J. O., & Roland, P. E. (1995) · Epilepsia · doi:10.1111/j.1528-1157.1995.tb01066.x · Cited by 133 · see citing works

Cardiovascular alterations in Macaca monkeys exposed to stationary magnetic fields: Experimental observations and theoretical analysis

Tenforde, T. S., Gaffey, C. T., Moyer, B. R., & Budlnger, T. F. (1983) · Bioelectromagnetics · doi:10.1002/bem.2250040102 · Cited by 133 · see citing works

Effects of Neural Synchrony on Surface EEG

Musall, S., von Pföstl, V., Rauch, A., Logothetis, N. K., & Whittingstall, K. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs389 · Cited by 123 · see citing works

Connectivity pattern changes in default-mode network with deep non-REM and REM sleep

Koike, T., Kan, S., Misaki, M., & Miyauchi, S. (2011) · Neuroscience Research · doi:10.1016/j.neures.2010.12.018 · Cited by 121 · see citing works

Simultaneous functional magnetic resonance imaging and electrophysiological recording

Huang‐Hellinger, F. R., Breiter, H. C., Mccormack, G. L., Cohen, M. S., Kwong, K. K., Sutton, J. P., Savoy, R. L., Weisskoff, R. M., Davis, T. L., Baker, J. R., et al. (1995) · Human Brain Mapping · doi:10.1002/hbm.460030103 · Cited by 117 · see citing works

Are there specialized circuits for social cognition and are they unique to humans?

Rushworth, M. F., Mars, R. B., & Sallet, J. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.11.013 · Cited by 117 · see citing works

Event-related fMRI in cognition

Huettel, S. A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.113 · Cited by 114 · see citing works

White-matter abnormalities in Tourette syndrome extend beyond motor pathways

Neuner, I., Kupriyanova, Y., Stöcker, T., Huang, R., Posnansky, O. P., Schneider, F. W., Tittgemeyer, M., & Shah, N. J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.049 · Cited by 111 · 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

Mining EEG–fMRI using independent component analysis

Eichele, T. (2009) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2008.12.018 · Cited by 102 · see citing works

Realignment parameter-informed artefact correction for simultaneous EEG–fMRI recordings

Moosmann, M., Schönfelder, V. H., Specht, K., Scheeringa, R., Nordby, H., & Hugdahl, K. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.024 · Cited by 100 · see citing works

The current state, challenges and perspectives of MR-PET

Herzog, H. R., Pietrzyk, U., Shah, N. J., & Ziemons, K. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.036 · Cited by 92 · see citing works

Effects of simultaneous EEG recording on MRI data quality at 1.5, 3 and 7 tesla

Mullinger, K. J., Debener, S., Coxon, R., & Bowtell, R. W. (2007) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2007.06.008 · Cited by 87 · see citing works

Imaging haemodynamic changes related to seizures: Comparison of EEG-based general linear model, independent component analysis of fMRI and intracranial EEG

Thornton, R. C., Rodionov, R., Laufs, H., Vulliémoz, S., Vaudano, A. E., Carmichael, D. W., Cannadathu, S., Guye, M., McEvoy, A. W., Lhatoo, S. D., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.064 · Cited by 83 · see citing works

Diffusion Tensor Imaging Findings of White Matter Changes in First Episode Schizophrenia: A Systematic Review

Kuswanto, C. N., Teh, I., Lee, T.-S. W., & Sim, K. (2012) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2012.10.1.13 · Cited by 79 · see citing works

Simultaneous intracranial EEG–fMRI in humans: Protocol considerations and data quality

Carmichael, D. W., Vulliémoz, S., Rodionov, R., Thornton, J. S., McEvoy, A. W., & Lemieux, L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.056 · Cited by 76 · see citing works

Simultaneous EEG source localisation and artifact rejection during concurrent fMRI by means of spatial filtering

Brookes, M. J., Mullinger, K. J., Stevenson, C. M., Morris, P. G., & Bowtell, R. W. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.030 · Cited by 75 · see citing works

EEG/(f)MRI measurements at 7 Tesla using a new EEG cap (“InkCap”)

Vasios, C. E., Angelone, L. M., Purdon, P. L., Ahveninen, J., Belliveau, J. W., & Bonmassar, G. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.07.038 · Cited by 74 · see citing works

Identifying the sources of the pulse artefact in EEG recordings made inside an MR scanner

Mullinger, K. J., Havenhand, J., & Bowtell, R. W. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.12.070 · Cited by 74 · see citing works

Present and future of simultaneous EEG-fMRI

Rosenkranz, K., & Lemieux, L. (2010) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-009-0196-9 · Cited by 71 · see citing works

Physical modeling of pulse artefact sources in simultaneous EEG/fMRI

Yan, W. X., Mullinger, K. J., Geirsdóttir, G. B., & Bowtell, R. W. (2009) · Human Brain Mapping · doi:10.1002/hbm.20891 · Cited by 70 · see citing works

Internal ventilation system of MR scanners induces specific EEG artifact during simultaneous EEG-fMRI

Nierhaus, T., Gundlach, C., Goltz, D., Thiel, S. D., Pleger, B., & Villringer, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.016 · Cited by 64 · see citing works

Frontiers of brain mapping using MRI

Harel, N., Uǧurbil, K., Uludaǧ, K., & Yacoub, E. S. (2006) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20576 · Cited by 62 · see citing works

Recording of electrical brain activity in a magnetic resonance environment: Distorting effects of the static magnetic field

Müri, R. M., Felblinger, J., Rösier, K. M., Jung, B., Hess, C. W., & Boesch, C. (1998) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910390105 · Cited by 61 · see citing works

Exploring the feasibility of simultaneous electroencephalography/functional magnetic resonance imaging at 7 T

Mullinger, K. J., Brookes, M. J., Stevenson, C. M., Morgan, P. S., & Bowtell, R. W. (2008) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2008.02.014 · Cited by 60 · see citing works

Ballistocardiographic artifact removal from simultaneous EEG-fMRI using an optical motion-tracking system

LeVan, P., Maclaren, J., Herbst, M., Sostheim, R., Zaitsev, M., & Hennig, J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.039 · Cited by 59 · see citing works

Electrophysiology meets fMRI: Neural correlates of the startle reflex assessed by simultaneous EMG–fMRI data acquisition

Neuner, I., Stöcker, T., Kellermann, T., Ermer, V., Wegener, H. P., Eickhoff, S. B., Schneider, F. W., & Shah, N. J. (2010) · Human Brain Mapping · doi:10.1002/hbm.20965 · Cited by 54 · see citing works

Cognition and Sensation in Very High Static Magnetic Fields: A Randomized Case-Crossover Study with Different Field Strengths

Heinrich, A., Szostek, A., Meyer, P., Nees, F., Rauschenberg, J., Gröbner, J., Gilles, M., Paslakis, G., Deuschle, M., Semmler, W., et al. (2012) · Radiology · doi:10.1148/radiol.12112172 · Cited by 53 · see citing works

Single trial variability of EEG and fMRI responses to visual stimuli

Bagshaw, A. P., & Warbrick, T. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.042 · Cited by 50 · see citing works

Age effects on the P300 potential and the corresponding fMRI BOLD-signal

Juckel, G., Karch, S., Kawohl, W., Kirsch, V., Jäger, L., Leicht, G., Lutz, J., Stammel, A., Pogarell, O. M., Ertl, M., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.019 · Cited by 47 · see citing works

On the feasibility of concurrent human TMS-EEG-fMRI measurements

Peters, J. C., Reithler, J., Schuhmann, T., de Graaf, T. A., Uludaǧ, K., Goebel, R., & Sack, A. T. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00071.2012 · Cited by 43 · see citing works

Simultaneous electroencephalography‐functional MRI at 3 T: An analysis of safety risks imposed by performing anatomical reference scans with the EEG equipment in place

Nöth, U., Laufs, H., Stoermer, R., & Deichmann, R. (2011) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22843 · Cited by 41 · see citing works

Molecular imaging in oncology: the acceptance of PET/CT and the emergence of MR/PET imaging

Schiepers, C. W., & Dahlbom, M. L. (2010) · European Radiology · doi:10.1007/s00330-010-2033-y · Cited by 40 · see citing works

Influence of dense‐array EEG cap on fMRI signal

Luo, Q., & Glover, G. H. (2011) · Magnetic Resonance in Medicine · doi:10.1002/mrm.23299 · Cited by 39 · see citing works

Rejection of pulse related artefact (PRA) from continuous electroencephalographic (EEG) time series recorded during functional magnetic resonance imaging (fMRI) using constraint independent component analysis (cICA)

Leclercq, Y., Balteau, E., Dang‐Vu, T. T., Schabus, M., Luxen, A., Maquet, P., & Phillips, C. L. M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.017 · Cited by 38 · see citing works

Source localisation in concurrent EEG/fMRI: Applications at 7T

Brookes, M. J., Vrba, J., Mullinger, K. J., Geirsdóttir, G. B., Yan, W. X., Stevenson, C. M., Bowtell, R. W., & Morris, P. G. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.047 · Cited by 37 · see citing works

Mapping interictal epileptic discharges using mutual information between concurrent EEG and fMRI

Caballero‐Gaudes, C., Ville, D. V. D., Grouiller, F., Thornton, R., Lemieux, L., Seeck, M., Lazeyras, F., & Vulliémoz, S. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.12.011 · Cited by 37 · see citing works

Microstructural and functional MRI studies of cognitive impairment in epilepsy

Braakman, H. M. H., van der Kruijs, S. J. M., Vaessen, M. J., Jansen, J. F. A., Hall, M. H. J. A. D.-V., Vles, J. S. H., Aldenkamp, A. P., Backes, W. H., & Hofman, P. A. M. (2012) · Epilepsia · doi:10.1111/j.1528-1167.2012.03624.x · Cited by 35 · see citing works

Improving the sensitivity of EEG-fMRI studies of epileptic activity by modelling eye blinks, swallowing and other video-EEG detected physiological confounds

Chaudhary, U. J., Rodionov, R., Carmichael, D. W., Thornton, R. C., Duncan, J. S., & Lemieux, L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.028 · Cited by 34 · see citing works

Gradient system providing continuously variable field characteristics

Kimmlingen, R., Gebhardt, M., Schuster, J., Brand, M., Schmitt, F., & Haase, A. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10129 · Cited by 34 · see citing works

Exposure to high‐field MRI does not affect cognitive function

Schlamann, M. U., Voigt, M. A., Maderwald, S., Bitz, A. K., Kraff, O., Ladd, S. C., Ladd, M. E., Forsting, M., & Wilhelm, H. (2010) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22065 · Cited by 32 · see citing works

EEG acquisition in ultra-high static magnetic fields up to 9.4T

Neuner, I., Warbrick, T., Arrubla, J., Felder, J., Celik, A., Reske, M., Boers, F., & Shah, N. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.064 · Cited by 32 · see citing works

Wechsler Memory Scale Revised Edition: Neural correlates of the visual paired associates subtest adapted for fMRI

Neuner, I., Stöcker, T., Kellermann, T., Kircher, T. T. J., Zilles, K., Schneider, F. W., & Shah, N. J. (2007) · Brain Research · doi:10.1016/j.brainres.2007.07.096 · Cited by 28 · see citing works

Special designed RF-antenna with integrated non-invasive carbon electrodes for simultaneous magnetic resonance imaging and electroencephalography acquisition at 7T

Audekerkea, J. V., Peeters, R. R., Verhoye, M., Sijbers, J., & der Linden, A. V. (2000) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(00)00172-7 · Cited by 28 · see citing works

Transverse patterning dissociates human EEG theta power and hippocampal BOLD activation

Meltzer, J. A., Fonzo, G. A., & Constable, R. T. (2008) · Psychophysiology · doi:10.1111/j.1469-8986.2008.00719.x · Cited by 26 · see citing works

EEG Quality:The Image Acquisition Artefact

Ritter, P., Becker, R., Freyer, F., & Villringer, A. (2009) · Springer eBooks · doi:10.1007/978-3-540-87919-0_9 · Cited by 25 · see citing works

Relationship of the BOLD Signal with VEP for Ultrashort Duration Visual Stimuli (0.1 to 5 ms) in Humans

Yesilyurt, B., Whittingstall, K., Uǧurbil, K., Logothetis, N. K., & Uludaǧ, K. (2009) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2009.224 · Cited by 25 · see citing works

Towards single-trial analysis in cognitive brain research

Debener, S., Ullsperger, M., Siegel, M., & Engel, A. K. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.09.005 · Cited by 23 · see citing works

Recording Visual Evoked Potentials and Auditory Evoked P300 at 9.4T Static Magnetic Field

Arrubla, J., Neuner, I., Hahn, D., Boers, F., & Shah, N. J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062915 · Cited by 17 · see citing works

Editorial

Debener, S., & Herrmann, C. S. (2007) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2007.07.001 · Cited by 7 · see citing works

Diffusion Tensor Imaging to Determine Effects of Antidementive Treatment on Cerebral Structural Connectivity in Alzheimer’s Disease

Kilimann, I., Likitjaroen, Y., Hampel, H. J., & Teipel, S. J. (2013) · Current Pharmaceutical Design · doi:10.2174/1381612811319360003 · Cited by 6 · see citing works

Multimodal imaging: Simultaneous EEG in a 3T Hybrid MR–PET system

Neuner, I., Warbrick, T., Tellmann, L., Kops, E. R., Arrubla, J., Boers, F., Herzog, H. R., & Shah, N. J. (2012) · Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · doi:10.1016/j.nima.2012.08.022 · Cited by 2 · see citing works

Large-area MRI-compatible epidermal electronic interfaces for prosthetic control and cognitive monitoring

Tian, L., Zimmerman, B., Akhtar, A., Yu, K. J., Moore, M., Wu, J. C., Larsen, R. J., Lee, J. W., Li, J., Liu, Y., et al. (2019) · Nature Biomedical Engineering · doi:10.1038/s41551-019-0347-x · Cited by 395 · see citing works

Electrophysiological 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

EEG-Informed fMRI: A Review of Data Analysis Methods

Abreu, R., Leal, A., & Figueiredo, P. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00029 · Cited by 171 · see citing works

Relationship Between Alpha Rhythm and the Default Mode Network: An EEG-fMRI Study

Bowman, A. D., Griffis, J. C., Visscher, K., Dobbins, A. C., Gawne, T. J., DiFrancesco, M. W., & Szaflarski, J. P. (2017) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0000000000000411 · Cited by 78 · see citing works

Simultaneous EEG–fMRI at ultra-high field: Artifact prevention and safety assessment

Jorge, J., Grouiller, F., İpek, Ö., Stoermer, R., Michel, C. M., Figueiredo, P., van der Zwaag, W., & Rolf Gruetter, A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.055 · Cited by 71 · see citing works

Towards high-quality simultaneous EEG-fMRI at 7 T: Detection and reduction of EEG artifacts due to head motion

Jorge, J., Grouiller, F., Rolf Gruetter, A., van der Zwaag, W., & Figueiredo, P. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.020 · Cited by 62 · see citing works

Adaptive 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

How to Build a Hybrid Neurofeedback Platform Combining EEG and fMRI

Mano, M., Lécuyer, A., Bannier, É., Perronnet, L., Noorzadeh, S., & Barillot, C. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00140 · Cited by 58 · see citing works

Multimodal approaches to functional connectivity in autism spectrum disorders: an integrative perspective

Mash, L. E., Reiter, M. A., Linke, A. C., Townsend, J., & Müller, R. (2018) · Developmental Neurobiology · doi:10.1002/dneu.22570 · Cited by 52 · see citing works

Effects of 3.5–23.0 T static magnetic fields on mice: A safety study

Tian, X., Wang, D., Feng, S., Zhang, L., Ji, X., Wang, Z., Lu, Q., Xi, C., Pi, L., & Zhang, X. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.05.070 · Cited by 47 · see citing works

An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI

Telesford, Q. K., Gonzalez-Moreira, E., Xu, T., Tian, Y., Colcombe, S. J., Cloud, J., Russ, B. E., Falchier, A., Nentwich, M., Madsen, J., et al. (2023) · Scientific Data · doi:10.1038/s41597-023-02458-8 · Cited by 38 · see citing works

Characterisation and Reduction of the EEG Artefact Caused by the Helium Cooling Pump in the MR Environment: Validation in Epilepsy Patient Data

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

EEG/fMRI contributions to our understanding of genetic generalized epilepsies

Kay, B. P., & Szaflarski, J. P. (2014) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2014.02.030 · Cited by 31 · see citing works

When Is Simultaneous Recording Necessary? A Guide for Researchers Considering Combined EEG-fMRI

Scrivener, C. L. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.636424 · Cited by 30 · see citing works

EEG–fMRI: Dictionary learning for removal of ballistocardiogram artifact from EEG

Abolghasemi, V., & Ferdowsi, S. (2015) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2015.01.001 · Cited by 23 · see citing works

Simultaneous EEG + fMRI study of brain activity during an emotional Stroop task in individuals in remission from depression

Fang, Z., Lynn, E., Huc, M., Fogel, S. M., Knott, V., & Jaworska, N. (2022) · Cortex · doi:10.1016/j.cortex.2022.07.010 · Cited by 20 · see citing works

Statistical power or more precise insights into neuro-temporal dynamics? Assessing the benefits of rapid temporal sampling in fMRI

Dowdle, L. T., Ghose, G. M., Chen, C. C. C., Uǧurbil, K., Yacoub, E. S., & Vizioli, L. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2021.102171 · Cited by 23 · see citing works

Multimodal neuroimaging in humans at 9.4 T: a technological breakthrough towards an advanced metabolic imaging scanner

Shah, N. J. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0843-4 · Cited by 19 · see citing works

Removal of Pulse Artefact from EEG Data Recorded in MR Environment at 3T. Setting of ICA Parameters for Marking Artefactual Components: Application to Resting-State Data

Maggioni, E., Arrubla, J., Warbrick, T., Dammers, J., Bianchi, A. M., Reni, G., Tosetti, M., Neuner, I., & Shah, N. J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112147 · Cited by 18 · see citing works

The Effect of Magnetic Field Gradient and Gadolinium-Based MRI Contrast Agent Dotarem on Mouse Macrophages

Chanana, P., Uosef, A., Vaughn, N. R., Villagrán, M., Ghobrial, R. M., Kloc, M., & Wosik, J. (2022) · Cells · doi:10.3390/cells11050757 · Cited by 17 · see citing works

Heart–Brain Interactions in the MR Environment: Characterization of the Ballistocardiogram in EEG Signals Collected During Simultaneous fMRI

Marino, M., Liu, Q.-Y., Castello, M. D., Corsi, C., Wenderoth, N., & Mantini, D. (2017) · Brain Topography · doi:10.1007/s10548-018-0631-1 · Cited by 16 · see citing works

Time-frequency analysis of resting state and evoked EEG data recorded at higher magnetic fields up to 9.4 T

Abbasi, O., Dammers, J., Arrubla, J., Warbrick, T., Butz, M., Neuner, I., & Shah, N. J. (2015) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2015.07.011 · Cited by 15 · see citing works

Microstructural and functional correlates of glutamate concentration in the posterior cingulate cortex

Arrubla, J., Farrher, E., Strippelmann, J., Tse, D. H. Y., Grinberg, F., Shah, N. J., & Neuner, I. (2017) · Journal of Neuroscience Research · doi:10.1002/jnr.24010 · Cited by 15 · see citing works

Simultaneous trimodal PET-MR-EEG imaging: Do EEG caps generate artefacts in PET images?

Rajkumar, R., Kops, E. R., Mauler, J., Tellmann, L., Lerche, C. W., Herzog, H. R., Shah, N. J., & Neuner, I. (2017) · PLoS ONE · doi:10.1371/journal.pone.0184743 · Cited by 15 · see citing works

The influence of uncertainty visualization on cognitive load in a safety- and time-critical decision-making task

Chakraborty, S., Kiefer, P., & Raubal, M. (2024) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2024.2348747 · Cited by 16 · see citing works

NeuXus open-source tool for real-time artifact reduction in simultaneous EEG-fMRI

Caetano, G., Esteves, I., Vourvopoulos, A., Fleury, M., & Figueiredo, P. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120353 · Cited by 10 · see citing works

Longitudinal observations using simultaneous fMRI, multiple channel electrophysiology recording, and chemical microiontophoresis in the rat brain

Jaime, S., Cavazos, J. E., Yang, Y., & Lu, H. (2018) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.05.010 · Cited by 9 · see citing works

Methods for pulse artefact reduction: Experiences with EEG data recorded at 9.4 T static magnetic field

Arrubla, J., Neuner, I., Dammers, J., Breuer, L., Warbrick, T., Hahn, D., Poole, M. S., Boers, F., & Shah, N. J. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.05.015 · Cited by 9 · see citing works

Effects of Moderate to High Static Magnetic Fields on Reproduction

Song, C., Yu, B., Wang, J., Zhu, Y., & Zhang, X. (2022) · Bioelectromagnetics · doi:10.1002/bem.22404 · Cited by 8 · see citing works

Simultaneous EEG-fMRI data acquisition during cognitive task

Ahmad, R. F., Malik, A. S., Kamel, N., Reza, F., & Karim, A. H. A. (2014) · International Conference on Intelligent and Advanced Systems · doi:10.1109/icias.2014.6869471 · Cited by 6 · see citing works

Reference Layer Artefact Subtraction (RLAS): Electromagnetic Simulations

Chowdhury, M. E. H., Khandakar, A. A., Mullinger, K. J., Hossain, B., Al-Emadi, N. A., Antunes, A., & Bowtell, R. W. (2019) · IEEE Access · doi:10.1109/access.2019.2892766 · Cited by 6 · see citing works

Simultane EEG-fMRT-Messungen

Reese, B., Habel, U., & Neuner, I. (2014) · Der Nervenarzt · doi:10.1007/s00115-014-4012-z · Cited by 4 · see citing works

Functional MRI: Applications in Cognitive Neuroscience

D’Esposito, M., Kayser, A. S., & Chen, A. (2016) · Neuromethods · doi:10.1007/978-1-4939-5611-1_11 · Cited by 4 · see citing works

An optimized framework for simultaneous EEG-fMRI at 7T enabling safe, high-quality human brain imaging with millisecond temporal resolution and sub-millimeter spatial resolution

Martinez, C. S., Wirsich, J., Jaeger, C., Warbrick, T., Vulliémoz, S., Lemay, M., Bastiaansen, J., Wiest, R., & Jorge, J. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.983 · Cited by 2 · see citing works

EEG–fMRI Information Fusion: Biophysics and Data Analysis

Trujillo‐Barreto, N. J., Jean Daunizeau, A., Laufs, H., & Friston, K. J. (2022) · Springer eBooks · doi:10.1007/978-3-031-07121-8_28 · Cited by 2 · see citing works

Hypersampling of pseudo-periodic signals by analytic phase projection

Voss, H. U. (2018) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2018.05.008 · Cited by 1 · see citing works

Functional MRI: Cognitive Neuroscience Applications

Kayser, A. S., Chen, A. J.-W., & D’Esposito, M. (2023) · Springer eBooks · doi:10.1007/978-3-031-10909-6_38 · Cited by 2 · see citing works

Electrocortical correlates of facial expression processing: Assessing associations with stress, loneliness and exploring sex and hormone interactions.

Huc, M., Jouzizadeh, M., Bush, K., Lui, K., McQuaid, R. J., & Jaworska, N. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121473

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Campbell, J., Nielsen, M., LaBrec, A., & Bean, C. (2019) · Journal of Visualized Experiments · doi:10.3791/59146 · Cited by 1 · see citing works

PASER for automated analysis of neural signals recorded in pulsating magnetic fieldsPreprint

Brouns, T., & Celikel, T. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/739409 · Cited by 1 · see citing works

EEG Quality: The Image Acquisition Artefact

Ritter, P., Rothlübbers, S., Becker, R., Freyer, F., & Villringer, A. (2022) · Springer eBooks · doi:10.1007/978-3-031-07121-8_9 · Cited by 1 · see citing works

An optimized framework for simultaneous EEG-fMRI at 7T enabling safe, high-quality human brain imaging with millisecond temporal resolution and sub-millimeter spatial resolutionPreprint

Martinez, C. S., Wirsich, J., Jaeger, C., Warbrick, T., Vulliémoz, S., Lemay, M., Bastiaansen, J., Wiest, R., & Jorge, J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.23.609301

Multimodal Imaging Investigations of Human Brain Function and Plasticity

Moore, M., Katsumi, Y., Iordan, A. D., Dolcos, S. M., & Dolcos, F. (2025) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780197677131.013.32

Hybrid PET/MRI in Focal Cortical Dysplasia: Enhancing Detection and Surgical Evaluation

Mohamed, Y., Arbab, S., Abdallah, E., Yagoup, A., & Osman, A. (2025) · Clinical neuroimaging. · doi:10.1002/neo2.70041

Sustained Attention Task (gradCPT) Dataset using simultaneous EEG-fMRI and DTI

Cha, Y.-H., Lee, Y., Ji, E., Han, S., Min, S., Kim, H., Cho, M., Lee, H. S., Park, Y., & Moon, J.-Y. (2026) · Scientific Data · doi:10.1038/s41597-026-06616-6

EEG-fMRI and dMRI data fusion in healthy subjects and temporal lobe epilepsy : towards a trimodal structure-function network characterization of the human brain

Wirsich, J. (2016) · theses.fr (ABES) · doi:10.70675/b8cad511z7a26z42b3zb202z31fed5288c5e

Combining EEG and fMRI

Carmichael, D. W., Meagher, R., Sadilova, A., Warbrick, T., & Jaeger, C. (2026) · Springer eBooks · doi:10.1007/978-3-032-20450-9_33

Simultaneous EEG–fMRI at ultra-high field: Artifact prevention and safety assessment

Jorge, J., Grouiller, F., İpek, Ö., Stoermer, R., Michel, C. M., Figueiredo, P., van der Zwaag, W., & Rolf Gruetter, A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.055 · Cited by 71 · see citing works

EEG-fMRI at Ultrahigh Magnetic Fields: B0 ≥ 3 Tesla

Bonmassar, G., Lewis, L. D., & Mullinger, K. J. (2022) · Springer eBooks · doi:10.1007/978-3-031-07121-8_11 · Cited by 2 · see citing works

EEG acquisition in ultra-high static magnetic fields up to 9.4T

Neuner, I., Warbrick, T., Arrubla, J., Felder, J., Celik, A., Reske, M., Boers, F., & Shah, N. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.064 · Cited by 32 · see citing works

An optimized framework for simultaneous EEG-fMRI at 7T enabling safe, high-quality human brain imaging with millisecond temporal resolution and sub-millimeter spatial resolutionPreprint

Martinez, C. S., Wirsich, J., Jaeger, C., Warbrick, T., Vulliémoz, S., Lemay, M., Bastiaansen, J., Wiest, R., & Jorge, J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.23.609301

Exploring the feasibility of simultaneous electroencephalography/functional magnetic resonance imaging at 7 T

Mullinger, K. J., Brookes, M. J., Stevenson, C. M., Morgan, P. S., & Bowtell, R. W. (2008) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2008.02.014 · Cited by 60 · see citing works