EEG-correlated fMRI of human alpha activity
Abstract
Electroencephalography-correlated functional magnetic resonance imaging (EEG/fMRI) can be used to identify blood oxygen level-dependent (BOLD) signal changes associated with both physiological and pathological EEG events. Here, we implemented continuous and simultaneous EEG/fMRI to identify BOLD signal changes related to spontaneous power fluctuations in the alpha rhythm (8-12 Hz), the dominant EEG pattern during relaxed wakefulness. Thirty-two channels of EEG were recorded in 10 subjects during eyes-closed rest inside a 1.5-T magnet resonance (MR) scanner using an MR-compatible EEG recording system. Functional scanning by echoplanar imaging covered almost the entire cerebrum every 4 s. Off-line MRI artifact subtraction software was applied to obtain continuous EEG data during fMRI acquisition. The average alpha power over 1-s epochs was derived at several electrode positions using a Fast Fourier Transform. The power time course was then convolved with a canonical hemodynamic response function, down-sampled, and used for statistical parametric mapping of associated signal changes in the image time series. At all electrode positions studied, a strong negative correlation of parietal and frontal cortical activity with alpha power was found. Conversely, only sparse and nonsystematic positive correlation was detected. The relevance of these findings is discussed in view of the current theories on the generation and significance of the alpha rhythm and the related functional neuroimaging findings.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Alpha-band power correlates with fMRI signal in visual and sensorimotor cortices, attention network, and thalamic nuclei.
“Studies have shown that the alpha-band power is correlated to the fMRI signal from visual and sensorimotor cortices (163), attention network (164, 165), and thalamic nuclei (166).”
From Electrophysiological source imaging: A noninvasive window to brain dynamics (2018) · cites this paper as [165]
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486 · see citing works
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb00917.x · Cited by 49,574 · see citing works
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881 · see citing works
The Mathematical Theory of Communication
Shannon, C. E., Weaver, W., & Wiener, N. (1950) · Physics Today · doi:10.1063/1.3067010 · Cited by 9,875 · see citing works
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688 · 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
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
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
Simultaneous EEG and fMRI of the alpha rhythm
Stern (2002) · Neuroreport · doi:10.1097/01.wnr.0000047685.08940.d0 · Cited by 945 · see citing works
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
Self-citationStochastic Designs in Event-Related fMRI
Friston, K. J., Zarahn, E., Josephs, O., Henson, R. N., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1999.0498 · Cited by 634 · see citing works
Cooper, R., Winter, A., CROW, H. J., & Walter, W. G. (1965) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(65)90088-x · Cited by 561 · 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
Event-related functional magnetic resonance imaging: modelling, inference and optimization
Josephs, O., & Henson, R. N. A. (1999) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.1999.0475 · Cited by 425 · see citing works
Alpha rhythms as physiological and abnormal phenomena
Niedermeyer, E. (1997) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(97)00754-x · Cited by 376 · see citing works
Nunez, P. L., & Silberstein, R. B. (2000) · Brain Topography · doi:10.1023/a:1026683200895 · Cited by 307 · see citing works
Lemieux, L., Salek‐Haddadi, A., Josephs, O., Allen, P. J., Toms, N., Scott, C. A., Krakow, K., Turner, R., & Fish, D. R. (2001) · NeuroImage · doi:10.1006/nimg.2001.0853 · Cited by 277 · see citing works
Self-citationMotion 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
The possible meaning of the upper and lower alpha frequency ranges for cognitive and creative tasks
Petsche, H., Kaplan, S., von Stein, A., & Filz, O. (1997) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(97)00757-5 · Cited by 202 · see citing works
Phillips, C. L. M., Rugg, M. D., & Friston, K. J. (2002) · NeuroImage · doi:10.1006/nimg.2002.1143 · Cited by 191 · see citing works
Cognitive processing in the right hemisphere
Perecman, E. (1983) · Cited by 184 · see citing works
Source localization of MEG sleep spindles and the relation to sources of alpha band rhythms
Manshanden, I., de Munck, J. C., Simon, N. R., & Lopes, F. H. D. S. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00304-8 · Cited by 163 · see citing works
Neural networks for generation and suppression of alpha rhythm
Sadato, N., Nakamura, S., Oohashi, T., Nishina, E., Fuwamoto, Y., Waki, A., & Yonekura, Y. (1998) · Neuroreport · doi:10.1097/00001756-199803300-00024 · Cited by 158 · see citing works
Relationship between brain electrical activity and cortical perfusion in normal subjects
Leuchter, A. F. (1999) · Psychiatry Research Neuroimaging · doi:10.1016/s0925-4927(99)00006-2 · Cited by 158 · see citing works
Relations between PET-derived measures of thalamic glucose metabolism and EEG alpha power
Larson, C. L., Davidson, R. J., Abercrombie, H. C., Ward, R. T., Schaefer, S. M., Jackson, D. C., Holden, J. E., & Perlman, S. B. (1998) · Psychophysiology · doi:10.1111/1469-8986.3520162 · Cited by 135 · see citing works
Alpha rhythms: noise, dynamics and models
Lopes, F. H. D. S., Pijn, J. P. M., Velis, D. N., & Nijssen, P. C. G. (1997) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(97)00767-8 · Cited by 129 · see citing works
Lindgren, K. A., Larson, C. L., Schaefer, S. M., Abercrombie, H. C., Ward, R. T., Oakes, T. R., Holden, J. E., Perlman, S. B., Benca, R. M., & Davidson, R. J. (1999) · Biological Psychiatry · doi:10.1016/s0006-3223(98)00350-3 · Cited by 110 · see citing works
Study of human occipital alpha rhythm: the alphon hypothesis and alpha suppression
Williamson, S. J., Kaufman, L., Lu, Z., Wang, J.-Z., & Karron, D. B. (1997) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(97)00756-3 · Cited by 78 · see citing works
EEG Alpha Rhythm and Glucose Metabolic Rate in the Thalamus in Schizophrenia
Dános, P., Guich, S., Abel, L., & Buchsbaum, M. S. (2001) · Neuropsychobiology · doi:10.1159/000054901 · Cited by 65 · see citing works
Advances in neuromagnetic instrumentation and studies of spontaneous brain activity
Williamson, S. J., & Kaufman, L. (1989) · Brain Topography · doi:10.1007/bf01128850 · Cited by 60 · see citing works
Reciprocity Applied to Volume Conductors and the ECG
Plonsey, R. (1963) · IRE Transactions on Bio-Medical Electronics · doi:10.1109/tbmel.1963.4322775 · Cited by 60 · see citing works
Alpha-Like Rhythmical Activity of the Temporal Lobe
Niedermeyer, E. (1990) · Clinical Electroencephalography · doi:10.1177/155005949002100410 · Cited by 53 · see citing works
Buchsbaum, M. S., KESSLER, R. M., King, A. C., Johnson, J., & Cappelletti, J. (1984) · Progress in brain research · doi:10.1016/s0079-6123(08)62182-2 · Cited by 48 · see citing works
Multiplicity of the α Rhythm in Normal Humans
Feshchenko, V. A., Reinsel, R. A., & Veselis, R. A. (2001) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-200107000-00005 · Cited by 23 · see citing works
Başar, E., & Schürmann, M. (1997) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(97)00782-4 · Cited by 23 · see citing works
Salek‐Haddadi, A., Lemieux, L., & Fish, D. R. (2002) · Neurosurgery Clinics of North America · doi:10.1016/s1042-3680(02)80007-9 · Cited by 23 · see citing works
Self-citationWheeler-Kingshott (2000) · doi:10.1002/1522-2594(200011)44:5
Flagged first, then by citations
Cited by
Sorted by citations
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
Shaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition
Jensen, O., & Mazaheri, A. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00186 · Cited by 3,237 · see citing works
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
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
Default-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
Fransson, P. (2005) · Human Brain Mapping · doi:10.1002/hbm.20113 · Cited by 1,388 · see citing works
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 · 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-citationSelective changes of resting-state networks in individuals at risk for Alzheimer’s disease
Sorg, C., Riedl, V., Mühlau, M., Calhoun, V. D., Eichele, T., Läer, L., Drzezga, A., Förstl, H., Kurz, A., Zimmer, C., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0708803104 · Cited by 1,036 · see citing works
Network abnormalities and interneuron dysfunction in Alzheimer disease
Palop, J. J., & Mucke, L. (2016) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.141 · Cited by 1,022 · see citing works
Intelligence and neural efficiency
Neubauer, A. C., & Fink, A. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.04.001 · Cited by 878 · see citing works
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 · see citing works
Shmuel, A., & Leopold, D. A. (2008) · Human Brain Mapping · doi:10.1002/hbm.20580 · Cited by 584 · see citing works
Thalamic Mechanisms of EEG Alpha Rhythms and Their Pathological Implications
Hughes, S. W., & Crunelli, V. (2005) · The Neuroscientist · doi:10.1177/1073858405277450 · Cited by 565 · see citing works
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 · see citing works
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 · 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
Ritter, P., Moosmann, M., & Villringer, A. (2009) · Human Brain Mapping · doi:10.1002/hbm.20585 · Cited by 400 · see citing works
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
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
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
Electrophysiological Imaging of Brain Activity and Connectivity—Challenges and Opportunities
He, B., Yang, L., Wilke, C., & Yuan, H. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2139210 · Cited by 300 · 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
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 · see citing works
Dynamic 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
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 · see citing works
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 · see citing works
Adverse Listening Conditions and Memory Load Drive a Common Alpha Oscillatory Network
Obleser, J., Wöstmann, M., Hellbernd, N., Wilsch, A., & Maess, B. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.4908-11.2012 · Cited by 224 · see citing works
“…recent functional imaging studies have pointed out that suppression of BOLD activity (often reported to be anticorrelated with alpha power, Laufs et al., 2003; Sadaghiani et al., 2010) in cingulate areas (i.e., the “default” network, as well as in the TPJ) is pivotal to successful working…”
BackgroundTest-retest reproducibility of the default-mode network in healthy individuals
Meindl, T., Teipel, S., Elmouden, R., Mueller, S., Koch, W., Dietrich, O., Coates, U., Reiser, M., & Glaser, C. (2010) · Human Brain Mapping · doi:10.1002/hbm.20860 · Cited by 220 · see citing works
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 · see citing works
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 · see citing works
Self-citationLocal 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 · see citing works
Plastic modulation of PTSD resting‐state networks and subjective wellbeing by EEG neurofeedback
Kluetsch, R. C., Ros, T., Théberge, J., Frewen, P. A., Calhoun, V. D., Schmahl, C., Jetly, R., & Lanius, R. A. (2014) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12229 · Cited by 183 · see citing works
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 · 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
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 · see citing works
Direct 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
Luft, C. D. B., & Bhattacharya, J. (2015) · Scientific Reports · doi:10.1038/srep15717 · Cited by 143 · see citing works
“This is in agreement with previous studies showing that higher-arousal is associated with lower alpha power 44,45 , which is expected considering that this oscillation is often inversely related to cortical excitation, especially in the parietal areas 46,47 .”
Ongoing physiological processes in the cerebral cortex
Leopold, D. A., & Maier, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.059 · Cited by 127 · see citing works
Revisiting mu suppression in autism spectrum disorder
Dumas, G., Soussignan, R., Hugueville, L., Martinerie, J., & Nadel, J. (2014) · Brain Research · doi:10.1016/j.brainres.2014.08.035 · Cited by 120 · see citing works
The Oxford Handbook of Event-Related Potential Components
(2011) · doi:10.1093/oxfordhb/9780195374148.001.0001 · Cited by 2,263 · see citing works
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
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
EEG asymmetry in borderline personality disorder and depression following rejection.
Beeney, J. E., Levy, K. N., Gatzke-Kopp, L. M., & Hallquist, M. N. (2014) · Personality Disorders: Theory, Research, and Treatment · doi:10.1037/per0000032 · Cited by 93 · see citing works
Cortical layers, rhythms and BOLD signals
Scheeringa, R., & Fries, P. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2017.11.002 · Cited by 88 · see citing works
Lenggenhager, B., Halje, P., & Blanke, O. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07647.x · Cited by 84 · see citing works
Jung, W., Jang, K.-I., & Lee, S.-H. (2019) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2019.17.4.459 · Cited by 81 · see citing works
MEG identifies dorsal medial brain activations during sleep
IOANNIDES, A., KOSTOPOULOS, G., LIU, L., & FENWICK, P. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.030 · Cited by 76 · see citing works
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
Bönstrup, M., Schulz, R., Feldheim, J., Hummel, F. C., & Gerloff, C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.052 · Cited by 56 · see citing works
Cohen, M. X., David, N., Vogeley, K., & Elger, C. E. (2009) · Psychophysiology · doi:10.1111/j.1469-8986.2008.00724.x · Cited by 31 · see citing works
Electrophysiological traces of visuomotor learning and their renormalization after sleep
Landsness, E. C., Ferrarelli, F., Sarasso, S., Goldstein, M. R., Riedner, B. A., Cirelli, C., Perfetti, B., Moisello, C., Ghilardi, M. F., & Tononi, G. (2011) · Clinical Neurophysiology · doi:10.1016/j.clinph.2011.05.001 · Cited by 31 · see citing works
Expectation of nocebo hyperalgesia affects EEG alpha-activity
Albu, S., & Meagher, M. W. (2016) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2016.08.009 · Cited by 29 · see citing works
Electrophysiological Mapping and Neuroimaging
He, B., & Ding, L. (2013) · Neural Engineering · doi:10.1007/978-1-4614-5227-0_12 · Cited by 26 · see citing works
- Authors
- Laufs, H., Kleinschmidt, A., Beyerle, A., Eger, E., Salek-Haddadi, A., Preibisch, C., & Krakow, K.
- Affiliations
- Goethe University Frankfurt (DE)
- Corresponding author
- Laufs, H
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2003-08
- Volume
- 19
- Issue
- 4
- Pages
- 1463-1476
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2161186572
- Cited by
- 1,025
- References
- 37
- Citations by year
- 2026: 23 · 2025: 33 · 2024: 35 · 2023: 28 · 2022: 43 · 2021: 55 · 2020: 53 · 2019: 51 · 2018: 40 · 2017: 55 · 2016: 63 · 2015: 56 · 2014: 52 · 2013: 49 · 2012: 62
- FWCI
- 12.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Bundesministerium für Bildung und Forschung
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- alpha rhythm, EEG-fMRI, BOLD signal, parietal cortex, frontal cortex, hemodynamic response function
- MeSH terms
- Adult, Alpha Rhythm, Brain Mapping, Cerebral Cortex, Electroencephalography, Female, Fourier Analysis, Frontal Lobe, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Mathematical Computing, Oxygen Consumption, Parietal Lobe, Reference Values, Signal Processing, Computer-Assisted, Imaging, Three-Dimensional
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