Cited by 1,938Functional Brain Connectivity StudiesNeural dynamics and brain functionAdvanced MRI Techniques and Applications

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

Electrophysiological signatures of resting state networks in the human brain

Open access

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.0700668104PMC PMC1941820

Open this paper in CoChat — free account

Abstract

Functional neuroimaging and electrophysiological studies have documented a dynamic baseline of intrinsic (not stimulus- or task-evoked) brain activity during resting wakefulness. This baseline is characterized by slow (<0.1 Hz) fluctuations of functional imaging signals that are topographically organized in discrete brain networks, and by much faster (1–80 Hz) electrical oscillations. To investigate the relationship between hemodynamic and electrical oscillations, we have adopted a completely data-driven approach that combines information from simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Using independent component analysis on the fMRI data, we identified six widely distributed resting state networks. The blood oxygenation level-dependent signal fluctuations associated with each network were correlated with the EEG power variations of delta, theta, alpha, beta, and gamma rhythms. Each functional network was characterized by a specific electrophysiological signature that involved the combination of different brain rhythms. Moreover, the joint EEG/fMRI analysis afforded a finer physiological fractionation of brain networks in the resting human brain. This result supports for the first time in humans the coalescence of several brain rhythms within large-scale brain networks as suggested by biophysical studies.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1073/pnas.0700668104

Cites

54 of 54 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
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
Self-citation
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
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
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
Self-citation
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
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
The brainweb: phase synchronization and large-scale integration
Varela, F., Lachaux, J.-P., Rodriguez, E., & Martinerie, J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35067550 · Cited by 4,761

Show all 53 references

Research works printed but not linked: 1

D Cordes, VM Haughton, K Arfanakis, JD Carew, PA Turski, CH Moritz, MA Quigley, ME Meyerand Am J Neuroradiol 22, 1326–1333 (2001).

Sorted by citations

Items 801–900 of 1,001

Desynchronization of Theta-Phase Gamma-Amplitude Coupling during a Mental Arithmetic Task in Children with Attention Deficit/Hyperactivity Disorder
Kim, J. W., Kim, B.-N., Lee, J., Na, C., Kee, B., Min, K., Han, D., Kim, J., & Lee, Y.-S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0145288 · Cited by 35
Spurious correlations in simultaneous EEG-fMRI driven by in-scanner movement
Fellner, M.-C., Volberg, G., Mullinger, K. J., Goldhacker, M., Wimber, M., Greenlee, M. W., & Hanslmayr, S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.031 · Cited by 34
ICN_Atlas: Automated description and quantification of functional MRI activation patterns in the framework of intrinsic connectivity networks
Kozák, L. R., van Graan, L. A., Chaudhary, U. J., Szabó, Á., & Lemieux, L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.014 · Cited by 33
Electroencephalography Amplitude Modulation Analysis for Automated Affective Tagging of Music Video Clips
Clerico, A., Tiwari, A., Gupta, R., Jayaraman, S., & Falk, T. H. (2018) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2017.00115 · Cited by 34
Exploring the advantages of multiband fMRI with simultaneous EEG to investigate coupling between gamma frequency neural activity and the BOLD response in humans
Uji, M., Wilson, R., Francis, S., Mullinger, K. J., & Mayhew, S. D. (2018) · Human Brain Mapping · doi:10.1002/hbm.23943 · Cited by 37
Comparison of local spectral modulation, and temporal correlation, of simultaneously recorded EEG/fMRI signals during ketamine and midazolam sedation
Forsyth, A., McMillan, R. L., Campbell, D. A., Malpas, G. A., Maxwell, E., SLEIGH, J. W., Dukart, J., Hipp, J. F., & Muthukumaraswamy, S. D. (2018) · Psychopharmacology · doi:10.1007/s00213-018-5064-8 · Cited by 33
Disrupted Intraregional Brain Activity and Functional Connectivity in Unilateral Acute Tinnitus Patients With Hearing Loss
Zhou, G., Shi, X.-Y., Wei, H., Qu, L.-J., Yu, Y., Zhou, Q.-Q., Yin, X., Zhang, H., & Tao, Y.-J. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01010 · Cited by 34
Diagnostic Prediction for Social Anxiety Disorder via Multivariate Pattern Analysis of the Regional Homogeneity
Zhang, W., Yang, X., Lui, S., Meng, Y., Li, Y., Xiao, Y., Deng, W., Zhang, W., & Gong, Q. (2015) · BioMed Research International · doi:10.1155/2015/763965 · Cited by 33
EEG Oscillatory States: Universality, Uniqueness and Specificity across Healthy-Normal, Altered and Pathological Brain Conditions
Fingelkurts, A. A., & Fingelkurts, A. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087507 · Cited by 34
Multimodal imaging of recovery of functional networks associated with reversal of paradoxical herniation after cranioplasty
Voss, H. U., Heier, L., & Schiff, N. D. (2011) · Clinical Imaging · doi:10.1016/j.clinimag.2010.07.008 · Cited by 35
Endogenous brain fluctuations and diagnostic imaging
Kiviniemi, V. J. (2008) · Human Brain Mapping · doi:10.1002/hbm.20582 · Cited by 34
Distinction in EEG slow oscillations between chronic mild traumatic brain injury and PTSD
Franke, L. M., Walker, W. C., Hoke, K., & Wares, J. R. (2016) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2016.05.010 · Cited by 36
Frequency-Dependent Altered Functional Connections of Default Mode Network in Alzheimer’s Disease
Li, Y., Yao, H., Lin, P., Zheng, L., Li, C., Zhou, B., Wang, P., Zhang, Z., Wang, L., An, N., et al. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00259 · Cited by 33
Ultrafast inverse imaging techniques for fMRI
Lin, F., Tsai, K. W., Chu, Y.-H., Witzel, T., Nummenmaa, A. R., Raij, T., Ahveninen, J., Kuo, W., & Belliveau, J. W. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.072 · Cited by 33
Intrinsic Coupling Modes in Source-Reconstructed Electroencephalography
Mehrkanoon, S., Breakspear, M. J., Britz, J., & Boonstra, T. W. (2014) · Brain Connectivity · doi:10.1089/brain.2014.0280 · Cited by 35
Organization of Anti-Phase Synchronization Pattern in Neural Networks: What are the Key Factors?
Li, D., & Zhou, C. (2011) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00100 · Cited by 34
Resting‐state oscillatory dynamics in sensorimotor cortex in benign epilepsy with centro‐temporal spikes and typical brain development
Koelewijn, L. C., Hamandi, K., Brindley, L. M., Brookes, M. J., Routley, B. C., Muthukumaraswamy, S. D., Williams, N. A., Thomas, M. A., Kirby, A., Naudé, J. T. W., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.22888 · Cited by 33
A resting‐state fMRI study of obese females between pre‐ and postprandial states before and after bariatric surgery
Wiemerslage, L., Zhou, W., Olivo, G., Stark, J., Hogenkamp, P. S., Larsson, E., Sundbom, M., & Schiöth, H. B. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13428 · Cited by 32
Non-linear ICA Analysis of Resting-State fMRI in Mild Cognitive Impairment
Bi, X.-A., Sun, Q., Zhao, J., Xu, Q., & Wang, L. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00413 · Cited by 32
Changes in Endogenous Dopamine Induced by Methylphenidate Predict Functional Connectivity in Nonhuman Primates
Birn, R. M., Converse, A. K., Rajala, A. Z., Alexander, A. L., Block, W. F., McMillan, A. B., Christian, B. T., Filla, C., Murali, D., Hurley, S. A., et al. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2513-18.2018 · Cited by 34
Deriving Electrophysiological Brain Network Connectivity via Tensor Component Analysis During Freely Listening to Music
Zhu, Y., Liu, J., Mathiak, K., Ristaniemi, T., & Cong, F. (2019) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2019.2953971 · Cited by 33
Electrocortical dynamics differentiate athletes exhibiting low‐ and high‐ ACL injury risk biomechanics
Bonnette, S., Diekfuss, J. A., Grooms, D. R., Kiefer, A. W., Riley, M. A., Riehm, C. D., Moore, C., Foss, K. D. B., DiCesare, C. A., Baumeister, J., et al. (2020) · Psychophysiology · doi:10.1111/psyp.13530 · Cited by 33
Amplitude of fNIRS Resting-State Global Signal Is Related to EEG Vigilance Measures: A Simultaneous fNIRS and EEG Study
Chen, Y., Tang, J. H., Chen, Y., Farrand, J., Craft, M., Carlson, B. W., & Yuan, H. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.560878 · Cited by 33
A resting-state functional MRI study in patients with vestibular migraine during interictal period
Wang, S., Wang, H., Liu, X., Yan, W., Wang, M., & Zhao, R. (2021) · Acta Neurologica Belgica · doi:10.1007/s13760-021-01639-9 · Cited by 33
Differential mechanisms of posterior cingulate cortex downregulation and symptom decreases in posttraumatic stress disorder and healthy individuals using real‐time fMRI neurofeedback
Nicholson, A. A., Rabellino, D., Densmore, M., Frewen, P., Steyrl, D., Scharnowski, F., Théberge, J., Neufeld, R. W. J., Schmahl, C. G., Jetly, R., et al. (2021) · Brain and Behavior · doi:10.1002/brb3.2441 · Cited by 37
Frequency‐dependent modulation of neural oscillations across the gait cycle
Zhao, M., Bonassi, G., Samogin, J., Taberna, G. A., Pelosin, E., Nieuwboer, A., Avanzino, L., & Mantini, D. (2022) · Human Brain Mapping · doi:10.1002/hbm.25856 · Cited by 33
Self-citation
Gap junctions modulate seizures in a mean-field model of general anesthesia for the cortex
Steyn‐Ross, M. L., Steyn‐Ross, D. A., & SLEIGH, J. W. (2012) · Cognitive Neurodynamics · doi:10.1007/s11571-012-9194-0 · Cited by 33
Macroscale variation in resting-state neuronal activity and connectivity assessed by simultaneous calcium imaging, hemodynamic imaging and electrophysiology
Murphy, M. C., Chan, K. C., Kim, S., & Vazquez, A. L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.070 · Cited by 31
Embedding Dimension Selection for Adaptive Singular Spectrum Analysis of EEG Signal
Xu, S., Hu, H. B., Ji, L., & Wang, P. (2018) · Sensors · doi:10.3390/s18030697 · Cited by 33
Spatially heterogeneous structure-function coupling in haemodynamic and electromagnetic brain networks
Liu, Z.-Q., Shafiei, G., Baillet, S., & Mišić, B. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120276 · Cited by 32
Emerging hubs in phantom perception connectomics
Mohan, A., Ridder, D. D., & Vanneste, S. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.01.022 · Cited by 35
Quantitative comparisons on hand motor functional areas determined by resting state and task BOLD fMRI and anatomical MRI for pre-surgical planning of patients with brain tumors
Hou, B. L., Bhatia, S., & Carpenter, J. S. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.03.003 · Cited by 33
EEG synchronization measures predict epilepsy-related BOLD-fMRI fluctuations better than commonly used univariate metrics
Abreu, R., Leal, A., Lopes, F. H. D. S., & Figueiredo, P. (2018) · Clinical Neurophysiology · doi:10.1016/j.clinph.2017.12.038 · Cited by 32
Dynamics of sleep oscillations is coupled to brain temperature on multiple scales
Csernai, M., Borbély, S., Kocsis, K., Burka, D., Fekete, Z., Balogh, V., Káli, S., Emri, Z., & Barthó, P. (2019) · The Journal of Physiology · doi:10.1113/jp277664 · Cited by 32
Exploring the Correlation Between M/EEG Source–Space and fMRI Networks at Rest
Rizkallah, J., Amoud, H., Fraschini, M., Wendling, F., & Hassan, M. (2020) · Brain Topography · doi:10.1007/s10548-020-00753-w · Cited by 32
Neural antagonistic mechanism between default-mode and task-positive networks
Cheng, X., Yuan, Y., Wang, Y., & Wang, R. (2020) · Neurocomputing · doi:10.1016/j.neucom.2020.07.079 · Cited by 39
Asymmetric Frequency-Specific Feedforward and Feedback Information Flow between Hippocampus and Prefrontal Cortex during Verbal Memory Encoding and Recall
Das, A., & Menon, V. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0802-21.2021 · Cited by 34
Cutting balloon to treat carotid in-stent stenosis: technical note.
Bendok, B. R., Roubin, G. S., Katzen, B. T., Boulos, A. S., Levy, E. I., Limpijankit, T., Qureshi, A. I., Guterman, L. R., & Hopkins, L. N. (2003) · PubMed · Cited by 32
Abnormal Spontaneous Neural Activity of the Central Auditory System Changes the Functional Connectivity in the Tinnitus Brain: A Resting-State Functional MRI Study
Cai, W., Li, Z., Yang, Q.-T., & Zhang, T. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01314 · Cited by 32
Alterations of Regional Homogeneity and Functional Connectivity Following Short-Term Mindfulness Meditation in Healthy Volunteers.
Xiao, Q., Zhao, X., Bi, G., Wu, L., Zhang, H., Liu, R., Zhong, J., Wu, S., Zeng, Y., Cui, L., et al. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00376 · Cited by 31
EEG-fMRI reciprocal functional neuroimaging
Yang, L., Liu, Z., & He, B. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.02.153 · Cited by 31
Dissociated mean and functional connectivity BOLD signals in visual cortex during eyes closed and fixation
McAvoy, M. P., Larson‐Prior, L. J., Ludwikow, M., Zhang, D., Snyder, A. Z., Gusnard, D. L., Raichle, M. E., & d’Avossa, G. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00900.2011 · Cited by 34
Blind identification of evoked human brain activity with independent component analysis of optical data
Markham, J., White, B. R., Zeff, B. W., & Culver, J. P. (2009) · Human Brain Mapping · doi:10.1002/hbm.20678 · Cited by 31
Altered Intrinsic Connectivity Networks in Frontal Lobe Epilepsy: A Resting-State fMRI Study
Cao, X., Qian, Z., Xu, Q., Shen, J., Zhang, Z., & Lu, G. (2014) · Computational and Mathematical Methods in Medicine · doi:10.1155/2014/864979 · Cited by 31
A mini-cap for simultaneous EEG and fMRI recording in rodents
Sumiyoshi, A., Riera, J. J., Ogawa, T., & Kawashima, R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.056 · Cited by 30
Betel quid dependence is associated with functional connectivity changes of the anterior cingulate cortex: a resting-state fMRI study
Liu, T., Li, J., Zhao, Z., Zhong, Y., Zhang, Z., Xu, Q., Yang, G., Lu, G., Pan, S., & Chen, F. (2016) · Journal of Translational Medicine · doi:10.1186/s12967-016-0784-1 · Cited by 33
Extracting functional networks with spatial independent component analysis
Esposito, F., & Goebel, R. (2011) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32834897a5 · Cited by 31
Disrupted Spontaneous Neural Activity Related to Cognitive Impairment in Postpartum Women
Zheng, J.-X., Chen, Y., Chen, H., Jiang, L., Bo, F., Feng, Y., Tang, W., Yin, X., & Gu, J. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00624 · Cited by 31
Individual Differences in Resting-state Brain Rhythms Uniquely Predict Second Language Learning Rate and Willingness to Communicate in Adults
Prat, C. S., Yamasaki, B. L., & Peterson, E. R. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01337 · Cited by 33
Abnormal intrinsic functional activity in patients with cervical spondylotic myelopathy a resting state fMRI study
Kuang, C., & Zha, Y. (2019) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s209952 · Cited by 31
Aberrant Functional and Causal Connectivity in Acute Tinnitus With Sensorineural Hearing Loss
Cai, Y., Xie, M., Su, Y. A., Tong, Z., Wu, X., Xu, W., Li, J., Zhao, F., Dang, C.-P., Chen, G., et al. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00592 · Cited by 31
Using EEG microstates to examine post-encoding quiet rest and subsequent word-pair memory
Poskanzer, C., Denis, D., Herrick, A., & Stickgold, R. (2021) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2021.107424 · Cited by 31
Multimodal Autoencoder Predicts fNIRS Resting State From EEG Signals
Sirpal, P., Damseh, R., Peng, K., Nguyen, D. K., & Lesage, F. (2021) · Neuroinformatics · doi:10.1007/s12021-021-09538-3 · Cited by 31
Disrupted thalamic resting-state functional connectivity in patients with minimal hepatic encephalopathy
Qi, R., Zhang, L. J., Zhong, J., Zhang, Z., Ni, L., Zheng, G., & Lu, G. (2013) · European Journal of Radiology · doi:10.1016/j.ejrad.2012.12.016 · Cited by 32
Disconnected brains: What is the role of fMRI in connectivity research?
Thai, N. J. (2009) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2008.12.015 · Cited by 33
Complex Network Measures in Autism Spectrum Disorders
Sato, J. R., Vidal, M. C., Santos, S. D. S., Massirer, K. B., & Fujita, A. (2015) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2015.2476787 · Cited by 31
Mnemonic strategy training of the elderly at risk for dementia enhances integration of information processing via cross‐frequency coupling
Dimitriadis, S. I., Tarnanas, I., Wiederhold, M. D., Wiederhold, B. K., Tsolaki, M., & Fleisch, E. (2016) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2016.08.004 · Cited by 31
Effects of horseback riding exercise on the relative alpha power spectrum in the elderly
Cho, S.-H. (2017) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2017.01.011 · Cited by 31
Disrupted local neural activity and functional connectivity in subjective tinnitus patients: evidence from resting-state fMRI study
Han, Q., Zhang, Y., Liu, D., Wang, Y., Feng, Y., Yin, X., & Wang, J. (2018) · Neuroradiology · doi:10.1007/s00234-018-2087-0 · Cited by 31
Task- and stimulus-related cortical networks in language production: Exploring similarity of MEG- and fMRI-derived functional connectivity
Liljeström, M., Stevenson, C. M., Kujala, J., & Salmelin, R. H. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.017 · Cited by 34
The Role of the Brain in Conscious Processes: A New Way of Looking at the Neural Correlates of Consciousness
Keppler, J. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01346 · Cited by 30
Anterior Thalamic High Frequency Band Activity Is Coupled with Theta Oscillations at Rest
Sweeney‐Reed, C. M., Zaehle, T., Voges, J., Schmitt, F. C., Buentjen, L., Borchardt, V., Walter, M., Hinrichs, H., Heinze, H., Rugg, M. D., et al. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00358 · Cited by 29
Amygdala functional disconnection with the prefrontal-cingulate-temporal circuit in chronic tinnitus patients with depressive mood
Chen, Y., Bo, F., Xia, W., Liu, S., Wang, P., Su, W., Xǔ, J., Xiong, Z., & Yin, X. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.07.001 · Cited by 31
Whether Visual-related Structural and Functional Changes Occur in Brain of Patients with Acute Incomplete Cervical Cord Injury: A Multimodal Based MRI Study
Chen, Q., Zheng, W., Chen, X., Li, X., Wang, L., Qin, W., Li, K., & Chen, N. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.10.014 · Cited by 30
Functional Connectivity Alterations in Neuromyelitis Optica Spectrum Disorder
Han, Y., Liu, Y., Zeng, C., Luo, Q., Xiong, H., Zhang, X., & Li, Y. (2019) · Clinical Neuroradiology · doi:10.1007/s00062-019-00802-3 · Cited by 30
When Is Simultaneous Recording Necessary? A Guide for Researchers Considering Combined EEG-fMRI
Scrivener, C. L. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.636424 · Cited by 30
EEG Microstates and Its Relationship With Clinical Symptoms in Patients With Schizophrenia
Sun, Q., Zhou, J., Guo, H., Gou, N., Lin, R., Huang, Y., Guo, W., & Wang, X. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.761203 · Cited by 36
An Enhanced EEG Microstate Recognition Framework Based on Deep Neural Networks: An Application to Parkinson's Disease
Chu, C., Zhang, Z., Song, Z., Xu, Z., Wang, J., Wang, F., Liu, W., Lu, L., Liu, C., Zhu, X., et al. (2022) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3232811 · Cited by 31
Spectral power and functional connectivity changes during mindfulness meditation with eyes open: A magnetoencephalography (MEG) study in long-term meditators
Wong, W. P., Camfield, D., Woods, W., Sarris, J. J., & Pipingas, A. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2015.07.006 · Cited by 31
Beta EEG band: A measure of functional brain damage and language reorganization in aphasic patients after recovery
Spironelli, C., Manfredi, M., & Angrilli, A. (2013) · Cortex · doi:10.1016/j.cortex.2013.05.003 · Cited by 34
Electrical Tongue Stimulation Normalizes Activity Within the Motion-Sensitive Brain Network in Balance-Impaired Subjects as Revealed by Group Independent Component Analysis
Wildenberg, J. C., Tyler, M. E., Danilov, Y. P., Kaczmarek, K. A., & Meyerand, M. E. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0029 · Cited by 31
Infra-Slow Oscillation (ISO) of the Pupil Size of Urethane-Anaesthetised Rats
Błasiak, T., Zawadzki, A., & Lewandowski, M. H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062430 · Cited by 30
Origin of Synchronized Low-Frequency Blood Oxygen Level–Dependent Fluctuations in the Primary Visual Cortex
Anderson, J. S. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1220 · Cited by 30
Technical and clinical analysis of microEEG: a miniature wireless EEG device designed to record high-quality EEG in the emergency department
Omurtag, A., Baki, S. G. A., Chari, G., Cracco, R. Q., Zehtabchi, S., Fenton, A. A., & Grant, A. C. (2012) · International Journal of Emergency Medicine · doi:10.1186/1865-1380-5-35 · Cited by 30
A new generation of brain-computer interfaces driven by discovery of latent EEG-fMRI linkages using tensor decomposition.
Deshpande, G., Rangaprakash, D., Oeding, L., Cichocki, A., & Hu, X. P. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00246 · Cited by 29
Neural Correlates of Boredom in Music Perception.
Tabatabaie, A. F., Azadehfar, M. R., Mirian, N., Noroozıan, M., Yoonessi, A., Saebipour, M. R., & Yoonessi, A. (2014) · PubMed Central · Cited by 29
Abnormal baseline brain activity in patients with HBV-related cirrhosis without overt hepatic encephalopathy revealed by resting-state functional MRI
Lv, X.-F., Ye, M., Han, L.-J., Zhang, X.-L., Cai, P., Jiang, G.-H., Qiu, Y., Qiu, S.-J., Wu, Y.-P., Liu, K., et al. (2013) · Metabolic Brain Disease · doi:10.1007/s11011-013-9420-4 · Cited by 29
Age effects on EEG correlates of the Wisconsin Card Sorting Test
Dias, N. S., Ferreira, D., Reis, J. S., Jacinto, L., Fernandes, L., Pinho, F., Festa, J., Pereira, M., Afonso, N., Santos, N. C., et al. (2015) · Physiological Reports · doi:10.14814/phy2.12390 · Cited by 29
Altered Spontaneous Brain Activity in Betel Quid Dependence
Liu, T., Li, J., Zhao, Z., Yang, G., Pan, M.-J., Li, C., Pan, S.-Y., & Chen, F. (2016) · Medicine · doi:10.1097/md.0000000000002638 · Cited by 28
Resting-State Alpha-Band Oscillations in Migraine
O’Hare, L., Menchinelli, F., & Durrant, S. J. (2018) · Perception · doi:10.1177/0301006618755639 · Cited by 29
Fluctuations of the EEG‐fMRI correlation reflect intrinsic strength of functional connectivity in default mode network
Keinänen, T., Rytky, S., Korhonen, V. O., Huotari, N., Nikkinen, J., Tervonen, O. A., Palva, J. M., & Kiviniemi, V. J. (2018) · Journal of Neuroscience Research · doi:10.1002/jnr.24257 · Cited by 30
Changes in electrophysiological static and dynamic human brain functional architecture from childhood to late adulthood
Coquelet, N., Wens, V., Mary, A., Niesen, M., Puttaert, D., Ranzini, M., Ghinst, M. V., Bourguignon, M., Peigneux, P., Goldman, S., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-75858-0 · Cited by 26
Large‐scale collaboration in ENIGMA‐EEG: A perspective on the meta‐analytic approach to link neurological and psychiatric liability genes to electrophysiological brain activity
Smit, D. J. A., Andreassen, O. A., Boomsma, D. I., Burwell, S. J., Chorlian, D. B., de Geus, E. J. C., Elvsåshagen, T., Gordon, R. L., Harper, J., Hegerl, U., et al. (2021) · Brain and Behavior · doi:10.1002/brb3.2188 · Cited by 34
Altered source-based EEG coherence of resting-state sensorimotor network in early-stage Alzheimer's disease compared to mild cognitive impairment
Hsiao, F., Chen, W., Wang, Y.-J., Yan, S., & Lin, Y. (2013) · Neuroscience Letters · doi:10.1016/j.neulet.2013.10.056 · Cited by 29
Interindividual reaction time variability is related to resting-state network topology: an electroencephalogram study
Zhou, G., Liu, P., He, J., Dong, M., Yang, X., Hou, B., von Deneen, K. M., Qin, W., & Tian, J. (2011) · Neuroscience · doi:10.1016/j.neuroscience.2011.11.048 · Cited by 29
Abnormal late visual responses and alpha oscillations in neurofibromatosis type 1: a link to visual and attention deficits
Ribeiro, M. J., d’Almeida, O. C., Ramos, F. V., Saraiva, J., Silva, E. D., & Castelo-Branco, M. S. (2014) · Journal of Neurodevelopmental Disorders · doi:10.1186/1866-1955-6-4 · Cited by 28
Resting State Functional Connectivity Signature of Treatment Effects of Repetitive Transcranial Magnetic Stimulation in Mal de Debarquement Syndrome
Yuan, H., Shou, G., Gleghorn, D., Ding, L., & Cha, Y. (2017) · Brain Connectivity · doi:10.1089/brain.2017.0514 · Cited by 30
Exploring the alpha desynchronization hypothesis in resting state networks with intracranial electroencephalography and wiring cost estimates
Gómez‐Ramírez, J., Freedman, S., Mateos, D. M., Velázquez, J. L. P., & Valiante, T. A. (2017) · Scientific Reports · doi:10.1038/s41598-017-15659-0 · Cited by 32
Time Production and EEG Alpha Revisited
Glicksohn, J., Ohana, A. B., Dotan, T. B., Goldstein, A., & Donchin, O. (2009) · NeuroQuantology · doi:10.14704/nq.2009.7.1.215 · Cited by 29
Low frequency steady-state brain responses modulate large scale functional networks in a frequency-specific means
Wang, Y., Long, Z., Cui, Q., Liu, F., Jing, X., Chen, H., Guo, X., Yan, J. H., & Chen, H.-F. (2015) · Human Brain Mapping · doi:10.1002/hbm.23037 · Cited by 29
Diverse functional connectivity patterns of resting-state brain networks associated with good and poor hand outcomes following stroke
Hong, W., Lin, Q., Cui, Z., Liu, F., Xu, R. H., & Tang, C. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.102065 · Cited by 29
Pushing the Limits of EEG: Estimation of Large-Scale Functional Brain Networks and Their Dynamics Validated by Simultaneous fMRI
Abreu, R., Simões, M. A., & Castelo-Branco, M. S. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00323 · Cited by 27
Electroencephalography and externalizing behavior: A meta-analysis
Rudo-Hutt, A. S. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2014.12.005 · Cited by 32
Neuronal or Hemodynamic? Grappling with the Functional MRI Signal
Bandettini, P. A. (2014) · Brain Connectivity · doi:10.1089/brain.2014.0288 · Cited by 27
Group-level spatial independent component analysis of Fourier envelopes of resting-state MEG data
Ramkumar, P., Parkkonen, L. T., & Hyvärinen, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.032 · Cited by 28
Trait lasting alteration of the brain default mode network in experienced meditators and the experiential selfhood
Fingelkurts, A. A., Fingelkurts, A. A., & Kallio-Tamminen, T. (2016) · Self and Identity · doi:10.1080/15298868.2015.1136351 · Cited by 30
Resting state brain dynamics and its transients: a combined TMS-EEG study
Bonnard, M., Chen, S., Gaychet, J., Carrère, M., Woodman, M., Giusiano, B., & Jirsa, V. (2016) · Scientific Reports · doi:10.1038/srep31220 · Cited by 28
Brain functional connectivity abnormalities in attention‐deficit hyperactivity disorder
Silberstein, R. B., Pipingas, A., Farrow, M., Lévy, F., Stough, C. K. K., & Camfield, D. (2016) · Brain and Behavior · doi:10.1002/brb3.583 · Cited by 27
Hilbert spectral analysis of EEG data reveals spectral dynamics associated with microstates
Javed, E., Croce, P., Zappasodi, F., & Gratta, C. D. (2019) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2019.108317 · Cited by 28
BOLD Frequency Power Indexes Working Memory Performance
Balsters, J. H., Robertson, I. H., & Calhoun, V. D. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00207 · Cited by 27

Authors: Mantini, D., Perrucci, M. G., Del Gratta, C., Romani, G. L., & Corbetta, M.
Affiliations: University of Chieti-Pescara (IT)
Institute of Advanced Biomedical Technologies and
Washington University in St. Louis (US)
ORCID: Mantini, D.
Perrucci, M. G.
Romani, G. L.
Corbetta, M.
Venue: Proceedings of the National Academy of Sciences
Publisher: National Academy of Sciences
Published: 2007-08-07
Volume: 104
Issue: 32
Pages: 13170-13175
ISSN: 0027-8424 (ISSN-L)
1091-6490
DOI: 10.1073/pnas.0700668104
PMC: PMC1941820
OpenAlex: W2063294564
Cited by: 1,938
References: 53
Citations by year: 2026: 54 · 2025: 68 · 2024: 87 · 2023: 72 · 2022: 110 · 2021: 140 · 2020: 117 · 2019: 118 · 2018: 112 · 2017: 127 · 2016: 117 · 2015: 107 · 2014: 117 · 2013: 140 · 2012: 112
FWCI: 38.14
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Proceedings of the National Academy of Sciences (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Lirias (submittedVersion, other-oa)
Padua Research Archive (University of Padova) (submittedVersion, other-oa)
Funders: European Commission
National Institutes of Health
National Institute of Mental Health (R01 MH 71920-06, R01MH071920)
National Institute of Neurological Disorders and Stroke (R01NS048013, NS48013)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords: resting-state networks, intrinsic brain activity, EEG oscillations, neural oscillations, independent component analysis, large-scale brain networks, simultaneous EEG-fMRI
MeSH terms: Adult, Brain, Electroencephalography, Humans, Magnetic Resonance Imaging, Male, Oxygen

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

Electrophysiological signatures of resting state networks in the human brain

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks