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

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

BOLD correlates of EEG topography reveal rapid resting-state network dynamics

Britz, J., Van De Ville, D., & Michel, C. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.052 · Cited by 1,070

EEG-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

Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest

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

Don’t fear “fear conditioning”: Methodological considerations for the design and analysis of studies on human fear acquisition, extinction, and return of fear

Lonsdorf, T. B., Menz, M. M., Andreatta, M., Fullana, M. A., Golkar, A., Haaker, J., Heitland, I., Hermann, A., Kuhn, M., Kruse, O., et al. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.02.026 · Cited by 837

EEG microstate sequences in healthy humans at rest reveal scale-free dynamics.

Van De Ville, D., Britz, J., & Michel, C. M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1007841107 · Cited by 606

Cortical network functional connectivity in the descent to sleep

Larson-Prior, L. J., Zempel, J. M., Nolan, T. S., Prior, F. W., Snyder, A. Z., & Raichle, M. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900924106 · Cited by 450

Spontaneous brain activity and EEG microstates. A novel EEG/fMRI analysis approach to explore resting-state networks

Musso, F., Brinkmeyer, J., Mobascher, A., Warbrick, T., & Winterer, G. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.093 · Cited by 387

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

Auditory Processing across the Sleep-Wake Cycle

Portas, C. M., Krakow, K., Allen, P., Josephs, O., Armony, J. L., & Frith, C. D. (2000) · Neuron · doi:10.1016/s0896-6273(00)00169-0 · Cited by 392

Brain activity relating to the contingent negative variation: An fMRI investigation

Nagai, Y., Critchley, H. D., Featherstone, E., Fenwick, P. B. C., Trimble, M. R., & Dolan, R. J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.10.036 · Cited by 377

Spatiotemporal dynamics of the brain at rest — Exploring EEG microstates as electrophysiological signatures of BOLD resting state networks

Yuan, H., Zotev, V., Phillips, R., Drevets, W. C., & Bodurka, J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.031 · Cited by 352

Simultaneous EEG–fMRI

Ritter, P., & Villringer, A. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.008 · Cited by 294

Technical aspects and utility of fMRI using BOLD and ASL

Detre, J. A., & Wang, J. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00038-x · Cited by 291

Functional Neuroimaging Insights into the Physiology of Human Sleep.

Dang-Vu, T. T., Schabus, M., Desseilles, M., Sterpenich, V., Bonjean, M., & Maquet, P. (2010) · SLEEP · doi:10.1093/sleep/33.12.1589 · Cited by 284

BOLD correlates of EEG alpha phase-locking and the fMRI default mode network

Jann, K., Dierks, T., Boesch, C., Kottlow, M., Strik, W., & Koenig, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.001 · Cited by 286

Sleep spindle-related reactivation of category-specific cortical regions after learning face-scene associations

Bergmann, T. O., Mölle, M., Diedrichs, J., Born, J., & Siebner, H. R. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.036 · Cited by 228

Bistability and Non-Gaussian Fluctuations in Spontaneous Cortical Activity

Freyer, F., Aquino, K., Robinson, P. A., Ritter, P., & Breakspear, M. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0754-09.2009 · Cited by 189

Multimodal Functional Neuroimaging: Integrating Functional MRI and EEG/MEG

He, B., & Liu, Z. (2008) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2008.2008233 · Cited by 171

Impact of Early Life Adversity on Reward Processing in Young Adults: EEG-fMRI Results from a Prospective Study over 25 Years

Boecker, R., Holz, N. E., Buchmann, A. F., Blomeyer, D., Plichta, M. M., Wolf, I., Baumeister, S., Meyer-Lindenberg, A., Banaschewski, T., Brandeis, D., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104185 · Cited by 157

Human NREM Sleep Promotes Brain-Wide Vasomotor and Respiratory Pulsations

Helakari, H., Korhonen, V., Holst, S. C., Piispala, J., Kallio, M., Väyrynen, T., Huotari, N., Raitamaa, L., Tuunanen, J., Kananen, J., et al. (2022) · The Journal of Neuroscience · doi:10.1523/jneurosci.0934-21.2022 · Cited by 131

Propagated infra-slow intrinsic brain activity reorganizes across wake and slow wave sleep

Mitra, A., Snyder, A. Z., Tagliazucchi, E., Laufs, H., & Raichle, M. E. (2015) · eLife · doi:10.7554/elife.10781 · Cited by 122

Slow EEG pattern predicts reduced intrinsic functional connectivity in the default mode network: An inter-subject analysis

Hlinka, J., Alexakis, C., Diukova, A., Liddle, P. F., & Auer, D. P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.002 · Cited by 116

fMRI–EEG integrated cortical source imaging by use of time-variant spatial constraints

Liu, Z., & He, B. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.10.003 · Cited by 103

Statistical feature extraction for artifact removal from concurrent fMRI-EEG recordings

Liu, Z., de Zwart, J. A., van Gelderen, P., Kuo, L.-W., & Duyn, J. H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.042 · Cited by 97

Integration of EEG/MEG with MRI and fMRI

Liu, Z., Ding, L., & He, B. (2006) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2006.1657787 · Cited by 102

From eyes‐closed to eyes‐open: Role of cholinergic projections in EC‐to‐EO alpha reactivity revealed by combining EEG and MRI

Wan, L., Huang, H., Schwab, N., Tanner, J., Rajan, A., Lam, N. B., Zaborszky, L., Li, C. R., Price, C. C., & Ding, M. (2019) · Human Brain Mapping · doi:10.1002/hbm.24395 · Cited by 96

Linear and nonlinear relationships between visual stimuli, EEG and BOLD fMRI signals

Liu, Z., Rios, C., Zhang, N., Yang, L., Chen, W., & He, B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.017 · Cited by 88

Hard to wake up? The cerebral correlates of sleep inertia assessed using combined behavioral, EEG and fMRI measures

Vallat, R., Meunier, D., Nicolas, A., & Ruby, P. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.033 · Cited by 84

Interoception is associated with heartbeat-evoked brain potentials (HEPs) in adolescents

Mai, S., Wong, C. K., Georgiou, E., & Pollatos, O. (2018) · Biological Psychology · doi:10.1016/j.biopsycho.2018.06.007 · Cited by 69

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

Neuner, I., Arrubla, J., Felder, J., & Shah, N. J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.048 · Cited by 48

Amygdala electrical-finger-print (AmygEFP) NeuroFeedback guided by individually-tailored Trauma script for post-traumatic stress disorder: Proof-of-concept

Fruchtman-Steinbok, T., Keynan, J. N., Cohen, A., Jaljuli, I., Mermelstein, S., Drori, G., Routledge, E., Krasnoshtein, M., Playle, R., Linden, D. E. J., et al. (2021) · NeuroImage: Clinical · doi:10.1016/j.nicl.2021.102859 · Cited by 42

Does stroke volume influence heartbeat evoked responses?

Buot, A., Azzalini, D., Chaumon, M., & Tallon-Baudry, C. (2021) · Biological Psychology · doi:10.1016/j.biopsycho.2021.108165 · Cited by 46

Interaction between COMT Val158Met polymorphism and childhood adversity affects reward processing in adulthood

Boecker-Schlier, R., Holz, N. E., Buchmann, A. F., Blomeyer, D., Plichta, M. M., Jennen-Steinmetz, C., Wolf, I., Baumeister, S., Treutlein, J., Rietschel, M., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.006 · Cited by 42

Simultaneous fMRI-EEG-DTI recording of MMN in patients with schizophrenia

Kirino, E., Hayakawa, Y., Inami, R., Inoue, R., & Aoki, S. (2019) · PLoS ONE · doi:10.1371/journal.pone.0215023 · Cited by 22