Concurrent EEG- and fMRI-derived functional connectomes exhibit linked dynamics
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Sepideh Sadaghiani | Anne-Lise Giraud | J. Wirsich | A. Giraud | S. Sadaghiani | J. Wirsich | Sepideh Sadaghiani
[1] Theiler,et al. Generating surrogate data for time series with several simultaneously measured variables. , 1994, Physical review letters.
[2] James Theiler,et al. Testing for nonlinearity in time series: the method of surrogate data , 1992 .
[3] Edward T. Bullmore,et al. Network-based statistic: Identifying differences in brain networks , 2010, NeuroImage.
[4] Dimitri Van De Ville,et al. The dynamic functional connectome: State-of-the-art and perspectives , 2017, NeuroImage.
[5] Richard N. Henson,et al. Adaptive Cortical Parcellations for Source Reconstructed EEG/MEG Connectomes , 2017 .
[6] Evan M. Gordon,et al. Evidence for Two Independent Factors that Modify Brain Networks to Meet Task Goals. , 2016, Cell reports.
[7] Robert Turner,et al. A Method for Removing Imaging Artifact from Continuous EEG Recorded during Functional MRI , 2000, NeuroImage.
[8] Edward T. Bullmore,et al. Whole-brain anatomical networks: Does the choice of nodes matter? , 2010, NeuroImage.
[9] B. Foster,et al. Intracranial Electrophysiology Reveals Reproducible Intrinsic Functional Connectivity within Human Brain Networks , 2018, The Journal of Neuroscience.
[10] Joerg F. Hipp,et al. BOLD fMRI Correlation Reflects Frequency-Specific Neuronal Correlation , 2015, Current Biology.
[11] Thomas Dierks,et al. BOLD correlates of EEG alpha phase-locking and the fMRI default mode network , 2009, NeuroImage.
[12] Richard S. J. Frackowiak,et al. Neurophysiological origin of human brain asymmetry for speech and language , 2010, Proceedings of the National Academy of Sciences.
[13] Marisa O. Hollinshead,et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. , 2011, Journal of neurophysiology.
[14] Andreas Kleinschmidt,et al. Functional interactions between intrinsic brain activity and behavior , 2013, NeuroImage.
[15] Bastian Cheng,et al. Modeling of Large-Scale Functional Brain Networks Based on Structural Connectivity from DTI: Comparison with EEG Derived Phase Coupling Networks and Evaluation of Alternative Methods along the Modeling Path , 2016, bioRxiv.
[16] J. Martinerie,et al. The brainweb: Phase synchronization and large-scale integration , 2001, Nature Reviews Neuroscience.
[17] Garth J. Thompson,et al. Neural and metabolic basis of dynamic resting state fMRI , 2017, NeuroImage.
[18] Mark D'Esposito,et al. Alpha-Band Phase Synchrony Is Related to Activity in the Fronto-Parietal Adaptive Control Network , 2012, The Journal of Neuroscience.
[19] Maurizio Corbetta,et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[20] A. Kleinschmidt,et al. Intrinsic Connectivity Networks, Alpha Oscillations, and Tonic Alertness: A Simultaneous Electroencephalography/Functional Magnetic Resonance Imaging Study , 2010, The Journal of Neuroscience.
[21] David A. Leopold,et al. Dynamic functional connectivity: Promise, issues, and interpretations , 2013, NeuroImage.
[22] M. Greicius,et al. Decoding subject-driven cognitive states with whole-brain connectivity patterns. , 2012, Cerebral cortex.
[23] Dimitri Van De Ville,et al. On spurious and real fluctuations of dynamic functional connectivity during rest , 2015, NeuroImage.
[24] Christoph M. Michel,et al. Pulse Artifact Detection in Simultaneous EEG–fMRI Recording Based on EEG Map Topography , 2014, Brain Topography.
[25] Elizabeth Jefferies,et al. Situating the default-mode network along a principal gradient of macroscale cortical organization , 2016, Proceedings of the National Academy of Sciences.
[26] Colin Studholme,et al. Normalized entropy measure for multimodality image alignment , 1998, Medical Imaging.
[27] Sepideh Sadaghiani,et al. Ongoing dynamics in large-scale functional connectivity predict perception , 2015, Proceedings of the National Academy of Sciences.
[28] Louis Lemieux,et al. Identification of EEG Events in the MR Scanner: The Problem of Pulse Artifact and a Method for Its Subtraction , 1998, NeuroImage.
[29] Clara A. Scholl,et al. Synchronized delta oscillations correlate with the resting-state functional MRI signal , 2007, Proceedings of the National Academy of Sciences.
[30] Olivier D. Faugeras,et al. A common formalism for the Integral formulations of the forward EEG problem , 2005, IEEE Transactions on Medical Imaging.
[31] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[32] Fabrice Wendling,et al. Simultaneous Intracranial EEG-fMRI Shows Inter-Modality Correlation in Time-Resolved Connectivity Within Normal Areas but Not Within Epileptic Regions , 2017, Brain Topography.
[33] M. V. D. Heuvel,et al. Exploring the brain network: A review on resting-state fMRI functional connectivity , 2010, European Neuropsychopharmacology.
[34] D L Hill,et al. Automated three-dimensional registration of magnetic resonance and positron emission tomography brain images by multiresolution optimization of voxel similarity measures. , 1997, Medical physics.
[35] Andreas Kleinschmidt,et al. EEG-correlated fMRI of human alpha activity , 2003, NeuroImage.
[36] Clemens Elster,et al. Magnetoencephalography discriminates modality-specific infraslow signals less than 0.1 Hz , 2010, Neuroreport.
[37] Dieter Jaeger,et al. Neural correlates of time-varying functional connectivity in the rat , 2013, NeuroImage.
[38] Piet Van Mieghem,et al. Predicting haemodynamic networks using electrophysiology: The role of non-linear and cross-frequency interactions , 2016, NeuroImage.
[39] Enzo Tagliazucchi,et al. Dynamic BOLD functional connectivity in humans and its electrophysiological correlates , 2012, Front. Hum. Neurosci..
[40] Timothy O. Laumann,et al. Sources and implications of whole-brain fMRI signals in humans , 2017, NeuroImage.
[41] Mark W. Woolrich,et al. Dynamics of large-scale electrophysiological networks: A technical review , 2017, NeuroImage.
[42] C. Clark,et al. NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity , 2016, PloS one.
[43] Waqas Majeed,et al. Broadband Local Field Potentials Correlate with Spontaneous Fluctuations in Functional Magnetic Resonance Imaging Signals in the Rat Somatosensory Cortex Under Isoflurane Anesthesia , 2011, Brain Connect..
[44] Dirk Ostwald,et al. An information theoretic approach to EEG–fMRI integration of visually evoked responses , 2010, NeuroImage.
[45] M. De Vos,et al. A dynamic system of brain networks revealed by fast transient EEG fluctuations and their fMRI correlates , 2019, NeuroImage.
[46] Gustavo Deco,et al. Functional connectivity dynamics: Modeling the switching behavior of the resting state , 2015, NeuroImage.
[47] Xiao Liu,et al. EEG correlates of time-varying BOLD functional connectivity , 2013, NeuroImage.
[48] Giovanni Pellegrino,et al. Comparison of the spatial resolution of source imaging techniques in high-density EEG and MEG , 2017, NeuroImage.
[49] Timothy O. Laumann,et al. Methods to detect, characterize, and remove motion artifact in resting state fMRI , 2014, NeuroImage.
[50] Andreas Kleinschmidt,et al. EEG Alpha Power Modulation of fMRI Resting-State Connectivity , 2012, Brain Connect..
[51] Olaf Sporns,et al. The Human Connectome: A Structural Description of the Human Brain , 2005, PLoS Comput. Biol..
[52] Elizabeth B. Liddle,et al. Motion-related artefacts in EEG predict neuronally plausible patterns of activation in fMRI data , 2012, NeuroImage.
[53] Matteo Fraschini,et al. A comparison between scalp- and source-reconstructed EEG networks , 2017, Scientific Reports.
[54] M. Corbetta,et al. A Cortical Core for Dynamic Integration of Functional Networks in the Resting Human Brain , 2012, Neuron.
[55] Viktor K. Jirsa,et al. Complementary contributions of concurrent EEG and fMRI connectivity for predicting structural connectivity , 2017, NeuroImage.
[56] Darren Price,et al. Investigating the electrophysiological basis of resting state networks using magnetoencephalography , 2011, Proceedings of the National Academy of Sciences.
[57] Biyu J. He,et al. Electrophysiological correlates of the brain's intrinsic large-scale functional architecture , 2008, Proceedings of the National Academy of Sciences.
[58] S. Rombouts,et al. Consistent resting-state networks across healthy subjects , 2006, Proceedings of the National Academy of Sciences.
[59] Kristina M. Visscher,et al. A Core System for the Implementation of Task Sets , 2006, Neuron.
[60] Gustavo Deco,et al. Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI? , 2016, NeuroImage.
[61] Eswar Damaraju,et al. Tracking whole-brain connectivity dynamics in the resting state. , 2014, Cerebral cortex.
[62] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[63] Krzysztof J. Gorgolewski,et al. The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance , 2015, Neuron.
[64] Carl D. Hacker,et al. Frequency-specific electrophysiologic correlates of resting state fMRI networks , 2017, NeuroImage.
[65] Abraham Z. Snyder,et al. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.
[66] Maurizio Corbetta,et al. Resting-State Functional Connectivity Emerges from Structurally and Dynamically Shaped Slow Linear Fluctuations , 2013, The Journal of Neuroscience.
[67] Anders M. Dale,et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.
[68] Michael Breakspear,et al. Towards a statistical test for functional connectivity dynamics , 2015, NeuroImage.
[69] W. Singer. Cortical dynamics revisited , 2013, Trends in Cognitive Sciences.
[70] Richard M. Leahy,et al. Brainstorm: A User-Friendly Application for MEG/EEG Analysis , 2011, Comput. Intell. Neurosci..
[71] M. P. van den Heuvel,et al. Exploring the brain network: a review on resting-state fMRI functional connectivity. , 2010, European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology.
[72] A. Engel,et al. Intrinsic Coupling Modes: Multiscale Interactions in Ongoing Brain Activity , 2013, Neuron.
[73] V. Calhoun,et al. EEG Signatures of Dynamic Functional Network Connectivity States , 2017, Brain Topography.
[74] M. Hallett,et al. Identifying true brain interaction from EEG data using the imaginary part of coherency , 2004, Clinical Neurophysiology.
[75] M. Corbetta,et al. Temporal dynamics of spontaneous MEG activity in brain networks , 2010, Proceedings of the National Academy of Sciences.
[76] Diego Vidaurre,et al. Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks , 2017, bioRxiv.
[77] F. Deligianni,et al. Relating resting-state fMRI and EEG whole-brain connectomes across frequency bands , 2014, Front. Neurosci..
[78] Daniel Brandeis,et al. Synchronization facilitates removal of MRI artefacts from concurrent EEG recordings and increases usable bandwidth , 2006, NeuroImage.
[79] Catie Chang,et al. Time–frequency dynamics of resting-state brain connectivity measured with fMRI , 2010, NeuroImage.
[80] Michal Mikl,et al. Spatial-temporal-spectral EEG patterns of BOLD functional network connectivity dynamics , 2018, Journal of neural engineering.
[81] Leonardo L. Gollo,et al. Time-resolved resting-state brain networks , 2014, Proceedings of the National Academy of Sciences.
[82] Evan M. Gordon,et al. On the Stability of BOLD fMRI Correlations , 2016, Cerebral cortex.
[83] N. Logothetis,et al. Neurophysiological investigation of the basis of the fMRI signal , 2001, Nature.
[84] Mahmoud Hassan,et al. Electroencephalography Source Connectivity: Aiming for High Resolution of Brain Networks in Time and Space , 2018, IEEE Signal Processing Magazine.
[85] Nikos Makris,et al. Automatically parcellating the human cerebral cortex. , 2004, Cerebral cortex.
[86] Dimitri Van De Ville,et al. BOLD correlates of EEG topography reveal rapid resting-state network dynamics , 2010, NeuroImage.
[87] Shella D. Keilholz,et al. The Neural Basis of Time-Varying Resting-State Functional Connectivity , 2014, Brain Connect..
[88] Richard M. Leahy,et al. Electromagnetic brain mapping , 2001, IEEE Signal Process. Mag..
[89] J. Matias Palva,et al. Infra-Slow EEG Fluctuations Are Correlated with Resting-State Network Dynamics in fMRI , 2014, The Journal of Neuroscience.
[90] Théodore Papadopoulo,et al. OpenMEEG: opensource software for quasistatic bioelectromagnetics , 2010, Biomedical engineering online.