Correlates of alpha rhythm in functional magnetic resonance imaging and near infrared spectroscopy

Brain magnetic resonance imaging with contrast dependent on blood oxygenation.

Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.24.9868 · Cited by 6,483

Time course EPI of human brain function during task activation

Bandettini, P. A., Wong, E. C., Hinks, R. S., Tikofsky, R. S., & Hyde, J. S. (1992) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910250220 · Cited by 1,935

Dynamic Brain Sources of Visual Evoked Responses

Makeig, S., Westerfield, M., Jung, T.-P., Enghoff, S., Townsend, J., Courchesne, E., & Sejnowski, T. J. (2002) · Science · doi:10.1126/science.1066168 · Cited by 1,630

THE BERGER RHYTHM: POTENTIAL CHANGES FROM THE OCCIPITAL LOBES IN MAN

ADRIAN, E. D., & MATTHEWS, B. H. C. (1934) · Brain · doi:10.1093/brain/57.4.355 · Cited by 1,396 · cited 2×

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

Neural correlates of cross-modal binding

Bushara, K. O., Hanakawa, T., Immisch, I., Toma, K., Kansaku, K., & Hallett, M. (2003) · Nature Neuroscience · doi:10.1038/nn993 · Cited by 226

The Relationship Between Synchronization Among Neuronal Populations and Their Mean Activity Levels

Chawla, D., Lumer, E. D., & Friston, K. J. (1999) · Neural Computation · doi:10.1162/089976699300016287 · Cited by 125

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

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

fMRI resting state networks define distinct modes of long-distance interactions in the human brain

De Luca, M., Beckmann, C. F., De Stefano, N., Matthews, P. M., & Smith, S. M. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.035 · Cited by 1,241

Intelligence and neural efficiency

Neubauer, A. C., & Fink, A. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.04.001 · Cited by 878

Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?

Hindriks, R., Adhikari, M. H., Murayama, Y., Ganzetti, M., Mantini, D., Logothetis, N. K., & Deco, G. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.055 · Cited by 632

Low frequency BOLD fluctuations during resting wakefulness and light sleep: A simultaneous EEG‐fMRI study

Horovitz, S. G., Fukunaga, M., de Zwart, J. A., van Gelderen, P., Fulton, S. C., Balkin, T. J., & Duyn, J. H. (2008) · Human Brain Mapping · doi:10.1002/hbm.20428 · Cited by 616

Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: Implications for functional connectivity at rest

Shmuel, A., & Leopold, D. A. (2008) · Human Brain Mapping · doi:10.1002/hbm.20580 · Cited by 584

Measuring 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

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

The creative brain: investigation of brain activity during creative problem solving by means of EEG and fMRI

Fink, A., Grabner, R. H., Benedek, M., Reishofer, G., Hauswirth, V., Fally, M., Neuper, C., Ebner, F., & Neubauer, A. C. (2009) · Human Brain Mapping · doi:10.1002/hbm.20538 · Cited by 505

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

Rolandic alpha and beta EEG rhythms' strengths are inversely related to fMRI‐BOLD signal in primary somatosensory and motor cortex

Ritter, P., Moosmann, M., & Villringer, A. (2009) · Human Brain Mapping · doi:10.1002/hbm.20585 · Cited by 400

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

Exploring the network dynamics underlying brain activity during rest

Cabral, J., Kringelbach, M. L., & Deco, G. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.12.005 · Cited by 351

Large-amplitude, spatially correlated fluctuations in BOLD fMRI signals during extended rest and early sleep stages

Fukunaga, M., Horovitz, S. G., van Gelderen, P., de Zwart, J. A., Jansma, J. M., Ikonomidou, V. N., Chu, R., Deckers, R. H. R., Leopold, D. A., & Duyn, J. H. (2006) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2006.04.018 · Cited by 375

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

The influence of carbon dioxide on brain activity and metabolism in conscious humans

Xu, F., Uh, J., Brier, M. R., Hart, J., Yezhuvath, U. S., Gu, H., Yang, Y., & Lu, H. (2011) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2010.153 · Cited by 304

Assessing the spatiotemporal evolution of neuronal activation with single-trial event-related potentials and functional MRI

Eichele, T., Specht, K., Moosmann, M., Jongsma, M. L. A., Quiroga, R. Q., Nordby, H., & Hugdahl, K. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0505508102 · Cited by 308

Simultaneous EEG–fMRI

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

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

Negative covariation between task-related responses in alpha/beta-band activity and BOLD in human sensorimotor cortex: An EEG and fMRI study of motor imagery and movements

Yuan, H., Liu, T., Szarkowski, R., Rios, C., Ashe, J., & He, B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.028 · Cited by 274

The Virtual Brain Integrates Computational Modeling and Multimodal Neuroimaging

Ritter, P., Schirner, M., McIntosh, A. R., & Jirsa, V. K. (2013) · Brain Connectivity · doi:10.1089/brain.2012.0120 · Cited by 268

Ayahuasca: pharmacology, neuroscience and therapeutic potential

Domínguez-Clavé, E., Soler, J., Elices, M., Pascual, J. C., Álvarez, E., de la Fuente Revenga, M., Friedlander, P., Feilding, A., & Riba, J. (2016) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2016.03.002 · Cited by 226

Functional connectivity MR imaging reveals cortical functional connectivity in the developing brain

Lin, W., Zhu, Q., Gao, W., Chen, Y., Toh, C.-H., Styner, M., Gerig, G., Smith, J. K., Biswal, B., & Gilmore, J. H. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1256 · Cited by 222

Hemodynamic correlates of EEG: a heuristic

Kilner, J. M., Mattout, J., Henson, R., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.008 · Cited by 206

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

Ayahuasca enhances creative divergent thinking while decreasing conventional convergent thinking

Kuypers, K. P. C., Riba, J., de la Fuente Revenga, M., Barker, S., Theunissen, E. L., & Ramaekers, J. G. (2016) · Psychopharmacology · doi:10.1007/s00213-016-4377-8 · Cited by 201

Endogenous brain oscillations and related networks detected by surface EEG‐combined fMRI

Laufs, H. (2008) · Human Brain Mapping · doi:10.1002/hbm.20600 · Cited by 194

Local field potential reflects perceptual suppression in monkey visual cortex

Wilke, M., Logothetis, N. K., & Leopold, D. A. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604673103 · Cited by 187

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

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

Inhibition of alpha oscillations through serotonin-2A receptor activation underlies the visual effects of ayahuasca in humans

Valle, M., Maqueda, A. E., Rabella, M., Rodríguez-Pujadas, A., Antonijoan, R. M., Romero, S., Alonso, J. F., Mañanas, M. À., Barker, S., Friedlander, P., et al. (2016) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2016.03.012 · Cited by 173

Functional EEG topography in sleep and waking: state-dependent and state-independent features

Tinguely, G., Finelli, L. A., Landolt, H.-P., Borbély, A. A., & Achermann, P. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.03.017 · Cited by 147

Watching the fetal brain at ‘rest’

Schöpf, V., Kasprian, G., Brugger, P. C., & Prayer, D. (2012) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2011.10.006 · Cited by 137

Exploring 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

Localization of cerebral functional deficits in patients with obsessive-compulsive disorder: a resting-state fMRI study

Hou, J., Wu, W., Lin, Y., Wang, J., Zhou, D., Guo, J., Gu, S., He, M., Ahmed, S., Hu, J., et al. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.01.022 · Cited by 127

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

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

Finding thalamic BOLD correlates to posterior alpha EEG

Liu, Z., de Zwart, J. A., Yao, B., van Gelderen, P., Kuo, L.-W., & Duyn, J. H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.025 · Cited by 104

Infraslow (<0.1Hz) oscillations in thalamic relay nuclei

Hughes, S. W., Lőrincz, M. L., Parri, H. R., & Crunelli, V. (2011) · Progress in Brain Research · doi:10.1016/b978-0-444-53839-0.00010-7 · Cited by 104

ATP-Dependent Infra-Slow (<0.1 Hz) Oscillations in Thalamic Networks

Lőrincz, M. L., Geall, F., Bao, Y., Crunelli, V., & Hughes, S. W. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004447 · Cited by 103

On the relationship between slow cortical potentials and BOLD signal changes in humans

Khader, P., Schicke, T., Röder, B., & Rösler, F. (2008) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2007.05.018 · Cited by 99

Serotonergic psychedelics temporarily modify information transfer in humans.

Alonso, J. F., Romero, S., Mañanas, M. À., & Riba, J. (2015) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyv039 · Cited by 101

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

Cortical layers, rhythms and BOLD signals

Scheeringa, R., & Fries, P. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2017.11.002 · Cited by 88

Alpha reactivity to first names differs in subjects with high and low dream recall frequency

Ruby, P., Blochet, C., Eichenlaub, J.-B., Bertrand, O., Morlet, D., & Bidet-Caulet, A. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00419 · Cited by 44

Heart-rate variability as a quantitative measure of hypnotic depth

Diamond, S. G., Davis, O. C., & Howe, R. D. (2007) · International Journal of Clinical and Experimental Hypnosis · doi:10.1080/00207140701672961 · Cited by 43

Neuroelectrical Decomposition of Spontaneous Brain Activity Measured with Functional Magnetic Resonance Imaging

Liu, Z., de Zwart, J. A., Chang, C., Duan, Q., van Gelderen, P., & Duyn, J. H. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht164 · Cited by 22