Cited by 1,070Functional Brain Connectivity StudiesAdvanced MRI Techniques and ApplicationsNeural dynamics and brain function

The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.

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

Open access

Britz, Juliane, Van De Ville, Dimitri, Michel, Christoph M.·2010·NeuroImage

DOI 10.1016/j.neuroimage.2010.02.052

Open this paper in CoChat — free account

Abstract

Resting-state functional connectivity studies with fMRI showed that the brain is intrinsically organized into large-scale functional networks for which the hemodynamic signature is stable for about 10s. Spatial analyses of the topography of the spontaneous EEG also show discrete epochs of stable global brain states (so-called microstates), but they remain quasi-stationary for only about 100 ms. In order to test the relationship between the rapidly fluctuating EEG-defined microstates and the slowly oscillating fMRI-defined resting states, we recorded 64-channel EEG in the scanner while subjects were at rest with their eyes closed. Conventional EEG-microstate analysis determined the typical four EEG topographies that dominated across all subjects. The convolution of the time course of these maps with the hemodynamic response function allowed to fit a linear model to the fMRI BOLD responses and revealed four distinct distributed networks. These networks were spatially correlated with four of the resting-state networks (RSNs) that were found by the conventional fMRI group-level independent component analysis (ICA). These RSNs have previously been attributed to phonological processing, visual imagery, attention reorientation, and subjective interoceptive-autonomic processing. We found no EEG-correlate of the default mode network. Thus, the four typical microstates of the spontaneous EEG seem to represent the neurophysiological correlate of four of the RSNs and show that they are fluctuating much more rapidly than fMRI alone suggests.

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2010.02.052

Cites

73 of 73 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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?

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
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
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
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 6,551
An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets
Maldjian, J. A., Laurienti, P. J., Kraft, R., & Burdette, J. H. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00169-1 · Cited by 5,066
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
Mapping the structural core of human cerebral cortex
Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., & Sporns, O. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060159 · Cited by 4,173

Flagged first, then by citations

Show all 72 references

Research works printed but not linked: 1

Taylor, 2009, Two systems of resting state connectivity between the insula and cingulate cortex, Hum. Brain Mapp., 9999

Sorted by citations

Items 601–700 of 1,000

Frequency- and state-dependent dynamics of EEG microstates during propofol anesthesia
Zhang, Y., Wang, H., Yan, F., Song, D., Wang, Q., Wang, Y., & Huang, L. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121159 · Cited by 7
Altered microstate C and D dynamics in high social anxiety: a resting-state EEG study
Zhang, H., Peng, B., Liu, Y., Xi, Y., & Lei, Y. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1581517 · Cited by 9
Assessing Brain Network Dynamics During Postural Control Task Using EEG Microstates
Gelormini, C., Guerrini, L., Pescaglia, F., Aubonnet, R., Jónsson, H., Petersen, H., Lorenzo, G. D., & Gargiulo, P. (2025) · Brain Topography · doi:10.1007/s10548-025-01119-w · Cited by 7
Linear and nonlinear features of EEG microstate associated with insomnia
Weng, L., Jülich, S. T., & Lei, X. (2025) · Sleep Medicine · doi:10.1016/j.sleep.2025.106645 · Cited by 8
Study of the interaction mechanism of aroma components in Baijiu and associated brain response microstates
Wang, Z., Huang, M., Chang, X., Zeng, X., Gao, W., & Sun, B. (2025) · Food Chemistry · doi:10.1016/j.foodchem.2025.146149 · Cited by 7
Cognitive adaptations for memory deficits in MCI and AD patients: A meta-analysis of EEG microstates
Piton, T., Smailović, U., Jelić, V., Koenig, T. W., Unschuld, P. G., & Bréchet, L. (2025) · NeuroImage Clinical · doi:10.1016/j.nicl.2025.103929 · Cited by 7
EEG Microstates in Early Phase Psychosis: The Effects of Acute Caffeine Consumption
Bissonnette, J. N., Anderson, T.-J., McKearney, K. J., Tibbo, P. G., & Fisher, D. J. (2022) · Clinical EEG and Neuroscience · doi:10.1177/15500594221084994 · Cited by 7
Altered EEG Microstates Dynamics in Individuals with Subthreshold Depression When Generating Negative Future Events
Yang, Z.-Y., Xia, L., Fu, Y., Zheng, Y., Zhao, M., Feng, Z., & Shi, C. (2023) · Brain Topography · doi:10.1007/s10548-023-01011-5 · Cited by 7
EEG microstate quantifiers and state space descriptors during anaesthesia in patients with postoperative delirium: a descriptive analysis
Neuner, B., Wolter, S., McCarthy, W. J., Spies, C., Cunningham, C. M., Radtke, F. M., Franck, M., & Koenig, T. W. (2023) · Brain Communications · doi:10.1093/braincomms/fcad270 · Cited by 7
Altered Resting-State Electroencephalogram Microstate Characteristics in Stroke Patients
Lu, H., Ma, Z., Zhang, J.-P., Wu, J., Zheng, M., Hua, X., & Xu, J. (2024) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2309176 · Cited by 7
Neural Correlates of Huntington’s Disease Based on Electroencephalography (EEG): A Mechanistic Review and Discussion of Excitation and Inhibition (E/I) Imbalance
Chmiel, J., Nadobnik, J., Smerdel, S., & Niedzielska, M. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14145010 · Cited by 7
Abnormalities of Resting-State Electroencephalographic Microstate in Rapid Eye Movement Sleep Behavior Disorder
Peng, A., Wang, R., Huang, J., Wu, H., & Chen, L. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.728405 · Cited by 7
EEG Delta/Theta Ratio and Microstate Analysis Originating Novel Biomarkers for Malnutrition-Inflammation Complex Syndrome in ESRD Patients
Jatupornpoonsub, T., Thimachai, P., Supasyndh, O., & Wongsawat, Y. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.795237 · Cited by 7
Altered EEG Patterns in Individuals with Disorganized Attachment: An EEG Microstates Study
Carbone, G. A., Michel, C. M., Farina, B., Adenzato, M., Ardito, R. B., Imperatori, C., & Artoni, F. (2024) · Brain Topography · doi:10.1007/s10548-024-01038-2 · Cited by 7
Self-citation
Neuroimaging and Genetics: Exploring, Searching, and Finding
Smit, D. J. A., Ent, D. V. ‘., de Zubicaray, G. I., & Stein, J. L. (2012) · Twin Research and Human Genetics · doi:10.1017/thg.2012.20 · Cited by 7
Quantitative EEG in Hospital Encephalopathy
Sarkis, R. A., & Lee, J. W. (2013) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0b013e3182a73dd5 · Cited by 7
Detection of epileptic activity in presumably normal EEG
Baldini, S., Pittau, F., Birot, G., Rochas, V., Tomescu, M. I., Vulliémoz, S., & Seeck, M. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa104 · Cited by 7
Cortical Frontoparietal Network Dysfunction in CHMP2B-Frontotemporal Dementia
Musaeus, C. S., Pedersen, J. S., Kjær, T. W., Johannsen, P., Waldemar, G., Haverberg, M. J. N., Bacher, T., Nielsen, J. E., & Roos, P. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.714220 · Cited by 7
Neurobiology of Schizophrenia: Electrophysiological Indices
Koukkou, M., Koenig, T. W., Bänninger, A., Rieger, K., Hernandez, L. D., Higuchi, Y., Sumiyoshi, T., Vignapiano, A., Giordano, G. M., Amodio, A., et al. (2018) · Springer eBooks · doi:10.1007/978-3-319-70554-5_27 · Cited by 7
Altered relation of resting-state alpha rhythm with blood oxygen level dependent signal in healthy aging: Evidence by EEG-fMRI fusion analysis
Wang, C., Kang, M., Li, Z., Li, Y., Guan, M., Zou, Z., Wu, M., Lou, W., & Xu, J. (2020) · Clinical Neurophysiology · doi:10.1016/j.clinph.2020.05.025 · Cited by 7
Spontaneous EEG-Functional MRI in Mesial Temporal Lobe Epilepsy: Implications for the Neural Correlates of Consciousness
Wang, Z., Norton, L. E., Hutchison, R. M., Ives, J. R., & Mirsattari, S. M. (2012) · Epilepsy Research and Treatment · doi:10.1155/2012/385626 · Cited by 7
Beyond broadband: towards a spectral decomposition of EEG microstatesPreprint
Férat, V., Seeber, M., Michel, C. M., & Ros, T. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.16.342378 · Cited by 7
Self-citation
Electroencephalography microstate alterations reflect potential double‐edged cognitive adaptation in Ménière's disease
Li, Y., Li, J., Wang, P., Yu, D., Chen, Z., Shi, Z., Wu, Y., Qi, W., Lu, W. B., & Shi, H. (2024) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14896 · Cited by 5
Effect of short-term chanting on electroencephalographic microstates
Tayade, P., Saini, M., Saini, G., Muthukrishnan, S. P., Kaur, S., Sharma, R., & Sahoo, A. (2024) · Pan African Medical Journal · doi:10.11604/pamj.2024.49.76.44648 · Cited by 6
Experimentally induced central sensitization is accompanied by alterations in electroencephalographical microstate parameters
Jaltare, K. P., & Torta, D. M. E. (2025) · Pain · doi:10.1097/j.pain.0000000000003546 · Cited by 7
EEG microstates as indicators and predictors of response through 4 weeks of treatment in adolescents with major depressive disorder
Zhang, Y.-R., Yang, T., Cui, X., Huang, C., Xie, G., Luo, X., & He, Y. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.119511 · Cited by 8
Microstate Dynamics in Working Memory: Exploring Spatial Information Coding of Stimulus and Behavioral Performance
Norouzi, H., & Daliri, M. R. (2025) · Brain and Behavior · doi:10.1002/brb3.70765 · Cited by 6
Study on tinnitus-related electroencephalogram microstates in patients with vestibular schwannomas
Zhang, C., Wang, X., Ding, Z., Zhou, H., Liu, P., Xue, X., Wang, L., Jiang, Y., Chen, J., Shen, W., et al. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1159019 · Cited by 6
Social functioning predicts individual changes in EEG microstates following intranasal oxytocin administration: A double‐blind, cross‐over randomized clinical trial
Tomescu, M. I., der Donck, S. V., Perisanu, E. M., Berceanu, A. I., Alaerts, K., Boets, B., & Carcea, I. (2024) · Psychophysiology · doi:10.1111/psyp.14581 · Cited by 7
Visual Feedback Gain Modulates the Activation of Task-Related Networks and the Suppression of Non-Task Networks During Precise Grasping
Gao, Z., Lv, S., Ran, X., Xia, M., Qiu, M., Wang, J., Wei, Y., Shao, Z., Zhou, X., Zhang, Y., et al. (2024) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2024.3438674 · Cited by 6
Attention demands modulate brain electrical microstates and mental fatigue induced by simulated flight tasks
Han, M., Wang, Y., Liu, X., Cheng, X., Niu, H., & Liu, T. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad95be · Cited by 6
Interplay Between Cortical and Neurocardiac Interoceptive Processes and its Association with Self-Reported Interoceptive Sensibility
Oliveira, M., da‐Silva, M., de Carvalho, L. S., Ribeiro‐Carreira, A., Pereira, A. R., Sampaio, A., Coutinho, J. F. P., & González-Villar, A. J. (2025) · Brain Topography · doi:10.1007/s10548-025-01122-1 · Cited by 7
Altered cortical activity in patients with lower limb amputation based on EEG microstate
Shan, X., Wei, C., Liu, S., & Luo, J. F. (2021) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2004100 · Cited by 6
Phantom Experiment-Based Validation for Time-Varying Acoustoelectric Brain Imaging With Non-Stationary Current Source Characteristics
Song, X., Su, M., Chen, X., Xu, M., & Ming, D. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3146576 · Cited by 6
Effects of modafinil on electroencephalographic microstates in healthy adults
Linton, S. R., Murphy, M., Schroder, H. S., Breiger, M., Iturra-Mena, A. M., Kangas, B. D., Bergman, J., Carlezon, W. A., Risbrough, V. B., Barnes, S. A., et al. (2022) · Psychopharmacology · doi:10.1007/s00213-022-06149-x · Cited by 6
The effect of acupuncture at the Taiyang acupoint on visual function and EEG microstates in myopia
Su, K., Wang, L., Wang, Z., Ma, J., Zhang, C., Bi, H., & Wu, J. (2023) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2023.1234471 · Cited by 6
Resting-state electroencephalography microstates as a marker of photosensitivity in juvenile myoclonic epilepsy
Mazzeo, A., Irelli, E. C., Leodori, G., Mancuso, M., Morano, A., Giallonardo, A. T., & Bonaventura, C. D. (2024) · Brain Communications · doi:10.1093/braincomms/fcae054 · Cited by 6
Cortical neuronal assemblies coordinate with EEG microstate dynamics during resting wakefulness
Boyce, R., Dard, R. F., & Cossart, R. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112053 · Cited by 6
Within and Between-person Correlates of the Temporal Dynamics of Resting EEG MicrostatesPreprint
Zanesco, A. P., King, B. G., Skwara, A. C., & Saron, C. D. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/758078 · Cited by 6
Spontaneous activity changes in large-scale cortical networks in older adults couple to distinct hemodynamic morphologyPreprint
Sitnikova, T., Hughes, J. W., Howard, C. M., Stephens, K. A., Woolrich, M. W., & Salat, D. H. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.05.079749 · Cited by 6
Canonical EEG Microstate Dynamic Properties and Their Associations with fMRI Signals at Resting BrainPreprint
Zoubi, O. A., Misaki, M., Tsuchiyagaito, A., Mayeli, A., Zotev, V. S., Tulsa 1000 Investigators, Refai, H. H., Paulus, M. P., & Bodurka, J. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.14.251066 · Cited by 6
Stationary correlation pattern in highly non-stationary MEG recordings of healthy subjects and its relation to former EEG studies
Marín-García, A., Arzate-Mena, J. D., Corsi‐Cabrera, M., Muñoz‐Torres, Z., Olguín-Rodríguez, P. V., Ríos-Herrera, W. A., Rivera, A., & Müller, M. (2024) · PLoS ONE · doi:10.1371/journal.pone.0307378 · Cited by 5
Neural mechanisms of spatial navigation in ASD and TD children: insights from EEG microstate and functional connectivity analysis
Wang, Y., Wang, J., & Lu, C. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1552233 · Cited by 5
Resting Electroencephalography Microstates and Alpha Power Modulation in Preschool-Aged Children with Autism Spectrum Disorder
Ma, M., Yang, Z., Wang, L., Lu, S., Han, J., & Xiaoli Li, A. (2025) · Brain Sciences · doi:10.3390/brainsci15060544 · Cited by 6
EEG microstate analysis in children with prolonged disorders of consciousness
Zhang, Y., Hui, Z., Su, Y., Qi, W., Zhang, G., Zhou, L. F., Zhang, J., Shi, K., Yang, Y., Yang, L., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-11038-2 · Cited by 5
EEG microstate-based static and dynamic brain functional network differences in autism spectrum disorder children and tDCS interventional modulation
Kang, J., Yang, X., Zhang, L., Xiaoli Li, A., Zheng, S., & Tian, X. (2025) · Brain and Development · doi:10.1016/j.braindev.2025.104423 · Cited by 5
Therapeutic deep brain stimulation targeting BNST-NAc circuit driven large-scale brain networks in treatment-resistant depression
Ye, K., Cao, Y., Wu, Y., Ning, C., Wang, D., Guo, H., Wang, Y., Zhang, Y., Qiu, X., Li, N., et al. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03669-w · Cited by 6
Short-term and long-term test-retest reliability of memory, complexity, and randomness of EEG microstates sequence
Tarailis, P., Artoni, F., Koenig, T. W., Michel, C. M., & Griškova-Bulanova, I. (2025) · Cognitive Neurodynamics · doi:10.1007/s11571-025-10391-2 · Cited by 6
Self-citation
EEG biomarkers for a precision-medicine approach to noninvasive brain stimulation for major depressive disorder
Romero-Marín, R., Cappon, D., Sánchez, J. S., Bartrés‐Faz, D., Pascual‐Leone, Á., & Cattaneo, G. (2025) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2025.112121 · Cited by 5
Altered electroencephalographic microstate dynamics in major depressive disorder and their modulation by melatonergic treatment
Chu, C., Lin, Y., Huang, C. C., Liang, W.-Z., Chang, W.-C., Sack, A. T., Chang, C.-C., & Chang, H. (2026) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2026.01.011 · Cited by 5
Resting-state Electroencephalography Microstates Correlate with Pain Intensity in Patients with Complex Regional Pain Syndrome
Osumi, M., Sumitani, M., Iwatsuki, K., Hoshiyama, M., Imai, R., Morioka, S., & Hirata, H. (2023) · Clinical EEG and Neuroscience · doi:10.1177/15500594231204174 · Cited by 5
Microstate dynamics and spectral components as markers of persistent and remittent attention-deficit/hyperactivity disorder
Wu, G., Zhao, X., Luo, X., Li, H., Chen, Y., Dang, C., & Sun, L. (2024) · Clinical Neurophysiology · doi:10.1016/j.clinph.2024.02.027 · Cited by 5
Electroencephalographic Microstates During Sleep and Wake in Schizophrenia
Murphy, M., Jiang, C., Wang, L. A., Kozhemiako, N., Wang, Y., Wang, J., Jiang, C., Gai, G., Zou, K., Wang, Z., et al. (2024) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2024.100371 · Cited by 5
Effects of acupuncture at limb Acupoints-Guangming (GB37) on UDVA, CS, and EEG microstate in myopia
Wang, Z., Yan, H., Su, K., Wu, R., Wang, L., Bi, H., & Wu, J. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1492529 · Cited by 5
Neuroimaging features for cognitive fatigue and its recovery with VR intervention: An EEG microstates analysis
Han, J.-C., Zhang, C., Cai, Y.-D., Li, Y., Shang, Y., Chen, Z., Yang, G., Song, J.-J., Su, D., Bai, K., et al. (2025) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2025.111223 · Cited by 5
A method to assess the default EEG macrostate and its reactivity to stimulation
Șerban, C., Barborică, A., Roceanu, A. M., Mı̂ndruță, I., Ciurea, J., Paslaru, A. C., Zăgrean, A., Zăgrean, L., & Moldovan, M. (2021) · Clinical Neurophysiology · doi:10.1016/j.clinph.2021.12.002 · Cited by 5
Dynamics of Cerebral Function in Patients with Acute Cerebellar Infarction
Wu, X., Lei, Z., Wu, Y., Jiang, M., Luo, H., Xiu, C., & Ruan, J. (2023) · The Cerebellum · doi:10.1007/s12311-023-01534-4 · Cited by 5
Electroencephalography Microstate Class D is a Brain Marker of Subjective Sleep Quality for College Students with High Habitual Sleep Efficiency
Ding, X., Cao, F., Li, M., Yang, Z., & Tang, Y. (2023) · Brain Topography · doi:10.1007/s10548-023-00978-5 · Cited by 5
EEG Spatial-temporal Dynamics of Resting-state Activity in Young Women with Anorexia Nervosa: Preliminary Evidence
Berchio, C., Kumar, S. S., & Micali, N. (2023) · Brain Topography · doi:10.1007/s10548-023-01001-7 · Cited by 5
Temporal and spectral analyses of EEG microstate reveals neural effects of transcranial photobiomodulation on the resting brain
Truong, N. C. D., Wang, X., & Liu, H. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1247290 · Cited by 5
Effects of anti-seizure medications on resting-state functional networks in juvenile myoclonic epilepsy: An EEG microstate analysis
Li, Y., Zhao, Y., Chen, Y., Meng, M., Ren, Z., Zhao, Z., Wang, N., Zhao, T., Cui, B., Li, M., et al. (2024) · Seizure · doi:10.1016/j.seizure.2024.12.004 · Cited by 5
Exploring cortical excitability in children with cerebral palsy through lower limb robot training based on MI-BCI
Qi, W., Zhang, Y., Su, Y., Hui, Z., Li, Y., Wang, H., Zhang, J., Shi, K., Wang, M., Zhou, L. F., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-96946-z · Cited by 6
Topographical polarity reveals continuous EEG microstate transitions and electric field direction in healthy aging
Kashihara, S., Asai, T., & Imamizu, H. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf214 · Cited by 5
Can tasks be inherently boring?
Charney, E. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x13000964 · Cited by 6
Mental effort and fatigue as consequences of monotony
Прудков, П. Н. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x13001155 · Cited by 5
Electrophysiological and behavioral measures of some speech contrasts in varied attention and noise
Morris, D. J., Tøndering, J., & Lindgren, M. P. (2018) · Hearing Research · doi:10.1016/j.heares.2018.12.001 · Cited by 5
Error related fNIRS-EEG microstate analysis during a complex surgical motor task
Walia, P., Fu, Y., Norfleet, J., Schwaitzberg, S. D., Intes, X., De, S., Cavuoto, L. A., & Dutta, A. (2022) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc48229.2022.9871175 · Cited by 5
State-independent and state-dependent patterns in the rat default mode network
Jing, W., Xia, Y., Li, M., Cui, Y., Chen, M., Xue, M., Guo, D., Biswal, B. B., & Yao, D. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118148 · Cited by 5
EEG topographic features for assessing skill levels during laparoscopic surgical trainingPreprint
Manabe, T., Walia, P., Fu, Y., Intes, X., De, S., Schwaitzberg, S. D., Cavuoto, L. A., & Dutta, A. (2022) · Research Square · doi:10.21203/rs.3.rs-1934633/v1 · Cited by 5
Spatiotemporal dynamics of EEG microstate networks over the first two years of life: A multi-cohort longitudinal study
Ghosh, P., Donald, K. A., Polanczyk, G. V., Rodriguez, J. P., Germina Project Team, Khula Project Team, EEG Working Group, Shephard, E., & Gabard-Durnam, L. J. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.59 · Cited by 5
A potential biomarker of varying severity in patients with first-episode drug-naïve depressive disorder: Evidence from the alteration of EEG microstates
Zhang, Z., Li, H., Huang, Y., He, Y.-L., Yi, Y., Feng, S., Zhang, Z., Liu, C., Li, J., Lin, S., et al. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120489 · Cited by 4
Disruption of low-frequency narrowband EEG microstate networks in Parkinson’s disease with mild cognitive impairment
Pei, G., Hu, M., He, Y., Yang, X., Liu, H., Jiang, B., Xie, Q., Zhu, Q., Fang, B., & Yan, T. (2025) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-025-01747-0 · Cited by 4
EEG Microstate Differences Between Alzheimer’s Disease, Frontotemporal Dementia, and Healthy Controls Using 4 and 7 Clustering Classes with a Ratio Approach
Chang, J. (2025) · Medicina · doi:10.3390/medicina61111917 · Cited by 4
Explainable AI uncovers novel EEG microstate candidate neurophysiological markers for autism spectrum disorder
Kuriyakose, D., & Gowsalya, M. (2026) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2026.1763727 · Cited by 4
Mapping Executive Function Performance Based on Resting-State EEG in Healthy Individuals: A Systematic and Mechanistic Review
Chmiel, J., & Kurpas, D. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15031306 · Cited by 4
Time course of EEG complexity reflects attentional engagement during listening to speech in noise
Eqlimi, E., Bockstael, A., Schönwiesner, M., Talsma, D., & Botteldooren, D. B. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.16159 · Cited by 4
Default mode network aberrance in subjects of alcohol and opioid use disorders during working memory task: An exploratory EEG microstates study
Dastidar, S. G., Leon, C., Pegwal, N., Balhara, Y. P. S., Prakash, S. M., Tayade, P., Sharma, R., & Kaur, S. (2024) · Indian Journal of Psychiatry · doi:10.4103/indianjpsychiatry.indianjpsychiatry_930_23 · Cited by 4
EEG Microstate as a Marker of Adolescent Idiopathic Scoliosis
Rubega, M., Passarotto, E., Paramento, M., Formaggio, E., & Masiero, S. (2024) · IEEE Open Journal of Engineering in Medicine and Biology · doi:10.1109/ojemb.2024.3399469 · Cited by 4
Test-retest reliability of EEG microstate metrics for evaluating noise reductions in simultaneous EEG-fMRI
Kuroda, T., Kobler, R. J., Ogawa, T., Tsutsumi, M., Kishi, T., & Kawanabe, M. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00272 · Cited by 4
A multimodal neuroimaging study of cerebrovascular regulation: protocols and insights of combining electroencephalography, functional near-infrared spectroscopy, transcranial Doppler ultrasound, and physiological parameters
Burma, J. S., Johnson, N. E., Oni, I. K., Lapointe, A. P., Debert, C. T., Schneider, K., Dunn, J. F., & Smirl, J. D. (2025) · Journal of Neural Engineering · doi:10.1088/1741-2552/ada4de · Cited by 4
EEG microstates during resting-state and dissociative events in patients with psychogenic non-epileptic seizures
Catania, C., Mancuso, M., Mazzeo, A., Salamone, E. M., Orlando, B., Morano, A., Leodori, G., Casciato, S., Gennaro, G. D., Giallonardo, A. T., et al. (2025) · Clinical Neurophysiology · doi:10.1016/j.clinph.2025.03.002 · Cited by 4
Altering Temporal Dynamics of Sleepiness and Mood During Sleep Deprivation: Evidence from Resting-State EEG Microstates
Bai, D., Fan, X., Xiang, C., & Lei, X. (2025) · Brain Sciences · doi:10.3390/brainsci15040423 · Cited by 4
Association between Electroencephalographic microstates abnormalities and cognitive dysfunction in drug-naive MDD
Qin, Q., Liu, X., Wang, B., Wang, X., Liang, S., Chen, C., Li, M., Han, C., & Zhao, X. (2025) · Brain Research · doi:10.1016/j.brainres.2025.149660 · Cited by 4
Altered EEG Microstate Dynamics in First Unprovoked Seizure and Newly Diagnosed Epilepsy Patients
Huang, K., Chen, D., Tian, L., Wu, X., Li, J., Liu, L., Guo, J., Tao, W., Chen, H., Zhang, Y., et al. (2025) · European Journal of Neurology · doi:10.1111/ene.70279 · Cited by 4
Emergent technologies in clinical neurophysiology to study the central nervous system: IFCN handbook chapter
Guggisberg, A. G., Siebner, H. R., Lundell, H., Madsen, M. A. J., Madsen, K. H., Wiggermann, V., Mégevand, P., Proix, T., Dalal, S. S., Grouiller, F., et al. (2025) · Clinical Neurophysiology · doi:10.1016/j.clinph.2025.2110942 · Cited by 5
Vertical Topography in EEG Microstates: Physiology or Artifact Manifestation?
Jordánek, T., Lamoš, M., & Mareček, R. (2025) · Human Brain Mapping · doi:10.1002/hbm.70294 · Cited by 4
Effect of repetitive transcranial magnetic stimulation on upper limb motor function in stroke patients with right hemiplegia based on EEG microstates and EMG
Yu, X., Xin, R., Cheng, S., Xie, J., Ling, G., Wei, X., & Wang, P. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2025.1587928 · Cited by 4
EEG Evidence of Altered Functional Connectivity and Microstate in Children Orphaned by HIV/AIDS
Gu, H., Shan, X., He, H., Zhao, J., & Li, X. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.898716 · Cited by 4
Denoising brain networks using a fixed mathematical phase change in independent component analysis of magnitude‐only fMRI data
Zhang, C.-Y., Lin, Q., Niu, Y., Li, W., Gong, X., Cong, F., Wang, Y., & Calhoun, V. D. (2023) · Human Brain Mapping · doi:10.1002/hbm.26471 · Cited by 4
Changes in electroencephalographic microstates between evening and morning are associated with overnight sleep slow waves in healthy individuals
Keihani, A., Mayeli, A., Donati, F. L., Janssen, S. A., Huston, C. A., Colacot, R. M., Zoubi, O. A., Murphy, M., & Ferrarelli, F. (2024) · SLEEP · doi:10.1093/sleep/zsae053 · Cited by 4
Previous motor task performance impacts phase-based EEG resting-state connectivity states
Rosjat, N., Hommelsen, M., Fink, G. R., & Daun, S. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00109 · Cited by 4
Deep-learning-optimized microstate network analysis for early Parkinson’s disease with mild cognitive impairment
Zhang, L., Shen, X. X., Chu, C., Liu, S., Wang, J., Wang, Y., Zhang, J., Cao, T., Wang, F., Zhu, X., et al. (2024) · Cognitive Neurodynamics · doi:10.1007/s11571-023-10016-6 · Cited by 4
Similarities and differences between chronic primary pain and depression in brain activities: Evidence from resting-state microstates and auditory Oddball task
You, L., Yang, B., Lu, X., Yang, A., Zhang, Y., Bi, X., & Zhou, S. (2024) · Behavioural Brain Research · doi:10.1016/j.bbr.2024.115319 · Cited by 4
Cortical Hypoactivation of Frontal Areas Modulates Resting Electroencephalography Microstates in Children With Attention-Deficit/Hyperactivity Disorder
Leon, C., Kaur, S., Sagar, R., Tayade, P., & Sharma, R. (2024) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2024.11.012 · Cited by 4
The relationship between behavioral inhibition and resting electroencephalography: A neuroelectrophysiological study
Xu, M., Xu, Y., Wu, S., & Li, Z. (2025) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2025.112516 · Cited by 4
Specific endophenotypes in EEG microstates for methamphetamine use disorder
Gao, X., Chen, Y.-H., Zeng, Z., Zheng, W., Chai, C., Wu, H., Zhu, Z., Yang, J., Zhong, L., Shen, H., et al. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1513793 · Cited by 5
Effects of tDCS with concurrent cognitive performance targeting the dorsolateral prefrontal cortex and the posterior parietal cortex on EEG microstates in schizophrenia
Qin, X., Wang, Q., Li, H., Wang, J., Mao, Z., Dong, F., Bo, Q., Zhou, F., Li, X., Hou, W., et al. (2025) · Schizophrenia Research · doi:10.1016/j.schres.2025.03.003 · Cited by 4
Infant EEG microstate dynamics relate to fine-grained patterns of infant attention during naturalistic play with caregivers
Bagdasarov, A., Markert, S., & Gaffrey, M. S. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2414636122 · Cited by 4
The role of testosterone in modulating positive and negative empathy in social interactions
Zhuo, S., Zhang, Y., Lin, C., Wu, W., & Peng, W. (2025) · Neuropharmacology · doi:10.1016/j.neuropharm.2025.110465 · Cited by 4
Characteristics of EEG microstates in stroke patients with cognitive impairment after basal ganglia injury
Kong, W., Wang, X., Song, J. G., Zhao, Y., Wei, W., Li, Y., Shi, H., Cai, J., & Xue, X. (2025) · Brain Research · doi:10.1016/j.brainres.2025.149716 · Cited by 4

Authors: Britz, J., Van De Ville, D., & Michel, C. M.
Affiliations: University of Geneva (CH)
Corresponding author: Britz, Juliane
ORCID: Britz, Juliane
Michel, Christoph M.
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2010-10
Volume: 52
Issue: 4
Pages: 1162-1170
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2010.02.052
OpenAlex: W2131216884
Cited by: 1,070
References: 72
Citations by year: 2026: 139 · 2025: 161 · 2024: 101 · 2023: 97 · 2022: 89 · 2021: 76 · 2020: 77 · 2019: 43 · 2018: 45 · 2017: 45 · 2016: 33 · 2015: 22 · 2014: 36 · 2013: 40 · 2012: 39
FWCI: 20.56
Type: journal article
Language: en
Open access: green
infoscience.epfl.ch
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
Archive ouverte UNIGE (University of Geneva) (submittedVersion)
Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
Funders: Swiss National Science Foundation (32003B-118315, PP00P2-123438)
Center for Biomedical Imaging (CIBM) of the Geneva and Lausanne Universities
Leenaards and Louis-Jeantet Foundations
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: resting-state networks, EEG microstates, BOLD signal, EEG-fMRI correlation, hemodynamic response function, spontaneous EEG, functional connectivity, default mode network, independent component analysis, large-scale brain networks, network dynamics
MeSH terms: Action Potentials, Adult, Biological Clocks, Brain, Electroencephalography, Female, 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

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

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