Cited by 388Functional Brain Connectivity StudiesAdvanced MRI Techniques and ApplicationsNeural dynamics and brain function

The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.

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

Open this paper in CoChat — free account

Abstract

The brain is active even in the absence of explicit input or output as demonstrated from electrophysiological as well as imaging studies. Using a combined approach we measured spontaneous fluctuations in the blood oxygen level dependent (BOLD) signal along with electroencephalography (EEG) in eleven healthy subjects during relaxed wakefulness (eyes closed). In contrast to other studies which used the EEG frequency information to guide the functional MRI (fMRI) analysis, we opted for transient EEG events, which identify and quantify brain electric microstates as time epochs with quasi-stable field topography. We then used this microstate information as regressors for the BOLD fluctuations. Single trial EEGs were segmented with a specific module of the LORETA (low resolution electromagnetic tomography) software package in which microstates are represented as normalized vectors constituted by scalp electric potentials, i.e., the related 3-dimensional distribution of cortical current density in the brain. Using the occurrence and the duration of each microstate, we modeled the hemodynamic response function (HRF) which revealed BOLD activation in all subjects. The BOLD activation patterns resembled well known resting-state networks (RSNs) such as the default mode network. Furthermore we "cross validated" the data performing a BOLD independent component analysis (ICA) and computing the correlation between each ICs and the EEG microstates across all subjects. This study shows for the first time that the information contained within EEG microstates on a millisecond timescale is able to elicit BOLD activation patterns consistent with well known RSNs, opening new avenues for multimodal imaging data processing.

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2010.01.093

Cites

76 of 76 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

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
Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
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
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
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
Fast and robust fixed-point algorithms for independent component analysis
Hyvärinen, A. (1999) · IEEE Transactions on Neural Networks · doi:10.1109/72.761722 · Cited by 6,304
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326
Über das Elektrenkephalogramm des Menschen
Berger, H. (1929) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/bf01797193 · Cited by 4,266
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
Probabilistic Principal Component Analysis
Tipping, M. E., & Bishop, C. M. (1999) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00196 · Cited by 3,679
Investigations into resting-state connectivity using independent component analysis
Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1634 · Cited by 3,398
Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details.
Pascual-Marqui, R. D. (2002) · PubMed · Cited by 3,329
Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold
Forman, S. D., Cohen, J. D., Fitzgerald, M., Eddy, W. F., Mintun, M. A., & Noll, D. C. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910330508 · Cited by 3,202
Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain
Pascual-Marqui, R. D., Michel, C. M., & Lehmann, D. (1994) · International Journal of Psychophysiology · doi:10.1016/0167-8760(84)90014-x · Cited by 2,869
Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data
Woolrich, M. W., Ripley, B. D., Brady, M., & Smith, S. M. (2001) · NeuroImage · doi:10.1006/nimg.2001.0931 · Cited by 2,859
Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging
Beckmann, C. F., & Smith, S. M. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2003.822821 · Cited by 2,707
A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM)
Mazziotta, J. C., Toga, A. W., Evans, A. C., Fox, P. T., Lancaster, J. L., Zilles, K., Woods, R. P., Paus, T., Simpson, G. V., Pike, G. B., et al. (2001) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2001.0915 · Cited by 2,417
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
A three-dimensional statistical analysis for CBF activation studies in human brain
Worsley, K. J., Evans, A. C., Marrett, S., & Neelin, P. (1992) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1992.127 · Cited by 2,036
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
The five percent electrode system for high-resolution EEG and ERP measurements
Oostenveld, R., & Praamstra, P. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(00)00527-7 · Cited by 1,915
EEG source imaging.
Michel, C., Murray, M. M., Lantz, G., Gonzalez, S., Spinelli, L., & de Peralta, R. G. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.06.001 · Cited by 1,771
Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses
Arieli, A., Sterkin, A., Grinvald, A., & Aertsen, A. (1996) · Science · doi:10.1126/science.273.5283.1868 · Cited by 1,660
BRAIN WORK AND BRAIN IMAGING
Raichle, M. E., & Mintun, M. A. (2006) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.112819 · Cited by 1,630
Reference-free identification of components of checkerboard-evoked multichannel potential fields
Lehmann, D., & Skrandies, W. (1980) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(80)90419-8 · Cited by 1,595
10/20, 10/10, and 10/5 systems revisited: Their validity as relative head-surface-based positioning systems
Jurcak, V., Tsuzuki, D., & Dan, I. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.024 · Cited by 1,500
Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data.
Cordes, D., Haughton, V. M., Arfanakis, K., Carew, J. D., Turski, P. A., Moritz, C. H., Quigley, M., & Meyerand, M. E. (2001) · PubMed Central · Cited by 1,402
Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations
Lowe, M. J., Mock, B. J., & Sorenson, J. A. (1998) · NeuroImage · doi:10.1006/nimg.1997.0315 · Cited by 1,394
Spontaneous low‐frequency BOLD signal fluctuations: An fMRI investigation of the resting‐state default mode of brain function hypothesis
Fransson, P. (2005) · Human Brain Mapping · doi:10.1002/hbm.20113 · Cited by 1,388
Improving Lesion-Symptom Mapping
Rorden, C., Karnath, H., & Bonilha, L. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.7.1081 · Cited by 1,347
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
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
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
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
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
A standardized boundary element method volume conductor model
Fuchs, M., Kastner, J., Wagner, M., Hawes, S., & Ebersole, J. S. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00030-5 · Cited by 1,010
Segmentation of brain electrical activity into microstates: model estimation and validation
Pascual-Marqui, R. D., Michel, C. M., & Lehmann, D. (1995) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.391164 · Cited by 991
EEG alpha map series: brain micro-states by space-oriented adaptive segmentation
Lehmann, D., Ozaki, H., & Pal, I. (1987) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(87)90025-3 · Cited by 961
Simultaneous EEG and fMRI of the alpha rhythm
Stern (2002) · Neuroreport · doi:10.1097/01.wnr.0000047685.08940.d0 · Cited by 945
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
Nonparametric Analysis of Statistic Images from Functional Mapping Experiments
Holmes, A. P., Blair, R. C., Watson, J. D. G., & Ford, I. (1996) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199601000-00002 · Cited by 894
Tensorial extensions of independent component analysis for multisubject FMRI analysis
Beckmann, C. F., & Smith, S. M. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.10.043 · Cited by 757
Linking Spontaneous Activity of Single Cortical Neurons and the Underlying Functional Architecture
Tsodyks, M. V., Kenet, T., Grinvald, A., & Arieli, A. (1999) · Science · doi:10.1126/science.286.5446.1943 · Cited by 715
Review of methods for solving the EEG inverse problem
Pascual-Marqui, R. D. (1999) · Cited by 711
Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses
Fox, M. D., Snyder, A. Z., Zacks, J. M., & Raichle, M. E. (2006) · Nature Neuroscience · doi:10.1038/nn1616 · Cited by 660
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
Probabilistic Mapping and Volume Measurement of Human Primary Auditory Cortex
Rademacher, J., Morosan, P., Schormann, T., Schleicher, A., Werner, C. W., Freund, H., & Zilles, K. (2001) · NeuroImage · doi:10.1006/nimg.2000.0714 · Cited by 503
Automatic Choice of Dimensionality for PCA
Minka, T. P. (2000) · Cited by 499
Principles of spatial analysis
Lehmann, D. (1987) · Medical Entomology and Zoology · Cited by 494
Brain electric microstates and momentary conscious mind states as building blocks of spontaneous thinking: I. Visual imagery and abstract thoughts
Lehmann, D., Strik, W. K., Henggeler, B., Koenig, T. W., & Koukkou, M. (1998) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(97)00098-6 · Cited by 461
Epileptic source localization with high density EEG: how many electrodes are needed?
Lantz, G., Grave de Peralta, R., Spinelli, L., Seeck, M., & Michel, C. M. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00337-1 · Cited by 413
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
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
Detecting Latency Differences in Event-Related BOLD Responses: Application to Words versus Nonwords and Initial versus Repeated Face Presentations
Henson, R. N., Price, C. J., Rugg, M. D., Turner, R., & Friston, K. J. (2002) · NeuroImage · doi:10.1006/nimg.2001.0940 · Cited by 356
Multichannel topography of human alpha EEG fields
Lehmann, D. (1971) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(71)90165-9 · Cited by 318
Cytochrome Oxidase, Acetylcholinesterase, and NADPH-Diaphorase Staining in Human Supratemporal and Insular Cortex: Evidence for Multiple Auditory Areas
Rivier, F., & Clarke, S. (1997) · NeuroImage · doi:10.1006/nimg.1997.0304 · Cited by 311
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
Adaptive segmentation of spontaneous EEG map series into spatially defined microstates
Wackermann, J., Lehmann, D., Michel, C. M., & Strik, W. K. (1993) · International Journal of Psychophysiology · doi:10.1016/0167-8760(93)90041-m · Cited by 221
MAKING COMPLEXITY SIMPLER: MULTIVARIABILITY AND METASTABILITY IN THE BRAIN
Fingelkurts, A. A., & Fingelkurts, A. A. (2004) · International Journal of Neuroscience · doi:10.1080/00207450490450046 · Cited by 212
Studying spontaneous EEG activity with fMRI
Salek‐Haddadi, A., Friston, K. J., Lemieux, L., & Fish, D. R. (2003) · Brain Research Reviews · doi:10.1016/s0165-0173(03)00193-0 · Cited by 205
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 · cited 4×
“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).”
BackgroundMethodInfluential
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
Serial Section Electron Tomography: A Method for Three-Dimensional Reconstruction of Large Structures
Soto, G. E., Young, S. J., Martone, M. E., Deerinck, T. J., Lamont, S., Carragher, B. O., Hama, K., & Ellisman, M. H. (1994) · NeuroImage · doi:10.1006/nimg.1994.1008 · Cited by 147
Localizing Acute Stroke-related EEG Changes:
Luu, P., Tucker, D. M., Englander, R. N., Lockfeld, A. J., Lutsep, H. L., & Oken, B. (2001) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-200107000-00002 · Cited by 99
High resolution quantitative EEG analysis
Szava, S., Valdes-Sosa, P. A., Biscay, R., Galán, L., Bosch, J., Clark, I., & Jiménez, J. C. (1994) · Brain Topography · doi:10.1007/bf01187711 · Cited by 97
Coherence and phase locking in the scalp EEG and between LORETA model sources, and microstates as putative mechanisms of brain temporo-spatial functional organization
Lehmann, D., Faber, P. L., Gianotti, L. R. R., Kochi, K., & Pascual-Marqui, R. D. (2005) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2005.06.005 · Cited by 92
Segments of event-related potential map series reveal landscape changes with visual attention and subjective contours
Brandeis, D., & Lehmann, D. (1989) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(89)90260-5 · Cited by 91
Event-related electric microstates of the brain differ between words with visual and abstract meaning
Koenig, T. W., Kochi, K., & Lehmann, D. (1998) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/s0013-4694(97)00164-8 · Cited by 67
Single-trial P3 amplitude and latency informed event-related fMRI models yield different BOLD response patterns to a target detection task
Warbrick, T., Mobascher, A., Brinkmeyer, J., Musso, F., Richter, N., Stöcker, T., Fink, G. R., Shah, N. J., & Winterer, G. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.082 · Cited by 56
Self-citation
Investigating the intrinsic dimensionality of FMRI data for ICA
Beckmann, C. F., Noble, J. A., & Smith, S. M. (2001) · NeuroImage · doi:10.1016/s1053-8119(01)91419-3 · Cited by 40
Brain Areas Activated during Electric Microstates of Mental Imagery versus Abstract Thinking
Lehmann, D., König, T., Henggeler, B., Strik, W. K., Kochi, K., Koukkou, M., & Pascual-Marqui, R. D. (2004) · Klinische Neurophysiologie · doi:10.1055/s-2004-832072 · Cited by 9
Fuzzy Segmentation Spatiotemporal Patterns of Cognitive Potential into Microstates
Zhou, S. W., Wang, C., Wei, J., & Wu, S. (1999) · Brain Topography · doi:10.1023/a:1022233724264 · Cited by 4
The Influence of Preceding Movements on Motor Cortical Activity in Finger-Tapping
Losch, F., Blankertz, B., Müller, K., & Curio, G. (2004) · Klinische Neurophysiologie · doi:10.1055/s-2004-832081 · Cited by 4
Untitled work
Lurito (2000) · doi:10.1002/1097-0193(200007)10:3

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
Tracking whole-brain connectivity dynamics in the resting state
Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs352 · Cited by 2,992
The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery
Calhoun, V. D., Miller, R. L., Pearlson, G. D., & Adalı, T. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.015 · Cited by 1,408
EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review
Michel, C. M., & Koenig, T. W. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.11.062 · Cited by 1,418
Microstates in resting-state EEG: Current status and future directions
Khanna, A. R., Pascual‐Leone, Á., Michel, C. M., & Farzan, F. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.12.010 · Cited by 1,008

See all 388

Authors: Musso, F., Brinkmeyer, J., Mobascher, A., Warbrick, T., & Winterer, G.
Affiliations: Heinrich Heine University Düsseldorf (DE)
Forschungszentrum Jülich (DE)
Johannes Gutenberg University Mainz (DE)
Corresponding author: Musso, F.
Brinkmeyer, J.
ORCID: Mobascher, A.
Warbrick, T.
Winterer, G.
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2010-10
Volume: 52
Issue: 4
Pages: 1149-1161
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2010.01.093
OpenAlex: W2044461825
Cited by: 387
References: 75
Citations by year: 2026: 17 · 2025: 29 · 2024: 16 · 2023: 37 · 2022: 28 · 2021: 30 · 2020: 31 · 2019: 20 · 2018: 22 · 2017: 31 · 2016: 20 · 2015: 14 · 2014: 18 · 2013: 20 · 2012: 33
FWCI: 13.96
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords: spontaneous brain activity, EEG microstates, resting-state networks, default mode network, BOLD signal fluctuations, EEG-fMRI integration, hemodynamic response function, LORETA
MeSH terms: Action Potentials, Adult, Biological Clocks, Brain, Electroencephalography, Humans, Magnetic Resonance Imaging, Male, Nerve Net, Rest

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

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

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks