Multi-band MEG signatures of BOLD connectivity reorganization during visuospatial attention
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Viviana Betti | Maurizio Corbetta | Carlo Sestieri | Chiara Favaretto | Angelo Cenedese | Sara Spadone | Stefania Della Penna
[1] M. Corbetta,et al. Electrophysiological signatures of resting state networks in the human brain , 2007, Proceedings of the National Academy of Sciences.
[2] M. Ashburner,et al. Shape Representations and Visual Guidance of Saccadic Eye Movements , 2022 .
[3] Niels Birbaumer,et al. Cross-frequency phase synchronization: A brain mechanism of memory matching and attention , 2008, NeuroImage.
[4] Denis G. Pelli,et al. ECVP '07 Abstracts , 2007, Perception.
[5] Maurizio Corbetta,et al. Dynamics of EEG Rhythms Support Distinct Visual Selection Mechanisms in Parietal Cortex: A Simultaneous Transcranial Magnetic Stimulation and EEG Study , 2015, The Journal of Neuroscience.
[6] Jonathan D. Cohen,et al. Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster‐Size Threshold , 1995, Magnetic resonance in medicine.
[7] M. Corbetta,et al. A Cortical Core for Dynamic Integration of Functional Networks in the Resting Human Brain , 2012, Neuron.
[8] Biyu J. He,et al. Electrophysiological correlates of the brain's intrinsic large-scale functional architecture , 2008, Proceedings of the National Academy of Sciences.
[9] D H Brainard,et al. The Psychophysics Toolbox. , 1997, Spatial vision.
[10] Enrico Amico,et al. Multi-timescale hybrid components of the functional brain connectome: A bimodal EEG-fMRI decomposition , 2019, bioRxiv.
[11] R. VanRullen,et al. An oscillatory mechanism for prioritizing salient unattended stimuli , 2012, Trends in Cognitive Sciences.
[12] S. N. Erné,et al. Biomagnetic systems for clinical use , 2000 .
[13] Jonathan D. Power,et al. Intrinsic and Task-Evoked Network Architectures of the Human Brain , 2014, Neuron.
[14] M. Corbetta,et al. Control of goal-directed and stimulus-driven attention in the brain , 2002, Nature Reviews Neuroscience.
[15] Omer Tal,et al. Caffeine-Induced Global Reductions in Resting-State BOLD Connectivity Reflect Widespread Decreases in MEG Connectivity , 2013, Front. Hum. Neurosci..
[16] T Moore,et al. Shape representations and visual guidance of saccadic eye movements. , 1999, Science.
[17] Viviana Betti,et al. Topology of Functional Connectivity and Hub Dynamics in the Beta Band As Temporal Prior for Natural Vision in the Human Brain , 2018, The Journal of Neuroscience.
[18] Zhongming Liu,et al. Broadband Electrophysiological Dynamics Contribute to Global Resting-State fMRI Signal , 2016, The Journal of Neuroscience.
[19] Thomas T. Liu,et al. The global signal in fMRI: Nuisance or Information? , 2017, NeuroImage.
[20] Claudio Babiloni,et al. Temporal dynamics of alpha and beta rhythms in human SI and SII after galvanic median nerve stimulation. A MEG study , 2004, NeuroImage.
[21] Viviana Betti,et al. Dynamic reorganization of human resting-state networks during visuospatial attention , 2015, Proceedings of the National Academy of Sciences.
[22] A. Engel,et al. Neuronal Synchronization along the Dorsal Visual Pathway Reflects the Focus of Spatial Attention , 2008, Neuron.
[23] Maurizio Corbetta,et al. The Impact of the Geometric Correction Scheme on MEG Functional Topology at Rest , 2019, Front. Neurosci..
[24] Á. Pascual-Leone,et al. α-Band Electroencephalographic Activity over Occipital Cortex Indexes Visuospatial Attention Bias and Predicts Visual Target Detection , 2006, The Journal of Neuroscience.
[25] Dante Mantini,et al. A K-means multivariate approach for clustering independent components from magnetoencephalographic data , 2012, NeuroImage.
[26] Jon Driver,et al. Functional connectivity between prefrontal and parietal cortex drives visuo-spatial attention shifts , 2017, Neuropsychologia.
[27] Maurizio Corbetta,et al. A Signal-Processing Pipeline for Magnetoencephalography Resting-State Networks , 2011, Brain Connect..
[28] Mia Liljeström,et al. Task- and stimulus-related cortical networks in language production: Exploring similarity of MEG- and fMRI-derived functional connectivity , 2015, NeuroImage.
[29] Joaquín Goñi,et al. The quest for identifiability in human functional connectomes , 2017, Scientific Reports.
[30] Vittorio Pizzella,et al. SQUID systems for biomagnetic imaging , 2001 .
[31] Mark W. Woolrich,et al. Adding dynamics to the Human Connectome Project with MEG , 2013, NeuroImage.
[32] M. Corbetta,et al. Temporal dynamics of spontaneous MEG activity in brain networks , 2010, Proceedings of the National Academy of Sciences.
[33] Fernando Maestú,et al. Multimodal description of whole brain connectivity: A comparison of resting state MEG, fMRI, and DWI , 2015, Human brain mapping.
[34] O. Jensen,et al. Alpha Oscillations Serve to Protect Working Memory Maintenance against Anticipated Distracters , 2012, Current Biology.
[35] N. Logothetis,et al. Very slow activity fluctuations in monkey visual cortex: implications for functional brain imaging. , 2003, Cerebral cortex.
[36] Enrico Amico,et al. Multi-timescale hybrid components of the functional brain connectome: A bimodal EEG-fMRI decomposition , 2020, Network Neuroscience.
[37] Viviana Betti,et al. Natural Scenes Viewing Alters the Dynamics of Functional Connectivity in the Human Brain , 2013, Neuron.
[38] C. Schroeder,et al. Low-frequency neuronal oscillations as instruments of sensory selection , 2009, Trends in Neurosciences.
[39] M. Corbetta,et al. Top-Down Control of Human Visual Cortex by Frontal and Parietal Cortex in Anticipatory Visual Spatial Attention , 2008, The Journal of Neuroscience.
[40] Abigail S. Greene,et al. Functional connectivity predicts changes in attention observed across minutes, days, and months , 2020, Proceedings of the National Academy of Sciences.
[41] Sabine Kastner,et al. Electrophysiological Low-Frequency Coherence and Cross-Frequency Coupling Contribute to BOLD Connectivity , 2012, Neuron.
[42] Maurizio Corbetta,et al. Domain-general Signals in the Cingulo-opercular Network for Visuospatial Attention and Episodic Memory , 2014, Journal of Cognitive Neuroscience.
[43] Joerg F. Hipp,et al. BOLD fMRI Correlation Reflects Frequency-Specific Neuronal Correlation , 2015, Current Biology.
[44] Kevin Murphy,et al. Towards a consensus regarding global signal regression for resting state functional connectivity MRI , 2017, NeuroImage.
[45] W. Haenszel,et al. Statistical aspects of the analysis of data from retrospective studies of disease. , 1959, Journal of the National Cancer Institute.
[46] Maurizio Corbetta,et al. Anatomical Segregation of Visual Selection Mechanisms in Human Parietal Cortex , 2013, The Journal of Neuroscience.
[47] Matthew J. Brookes,et al. Measuring functional connectivity using MEG: Methodology and comparison with fcMRI , 2011, NeuroImage.
[48] Jeff H. Duyn,et al. Large-scale spontaneous fluctuations and correlations in brain electrical activity observed with magnetoencephalography , 2010, NeuroImage.
[49] N. Logothetis,et al. The Amplitude and Timing of the BOLD Signal Reflects the Relationship between Local Field Potential Power at Different Frequencies , 2012, The Journal of Neuroscience.
[50] R. Cattell. The Scree Test For The Number Of Factors. , 1966, Multivariate behavioral research.
[51] Mathieu Bourguignon,et al. A geometric correction scheme for spatial leakage effects in MEG/EEG seed‐based functional connectivity mapping , 2015, Human brain mapping.
[52] D G Pelli,et al. The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.
[53] M. Corbetta,et al. Large-scale cortical correlation structure of spontaneous oscillatory activity , 2012, Nature Neuroscience.
[54] Tena I. Katsaounis,et al. Analyzing Multivariate Data , 2004, Technometrics.
[55] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[56] Thomas T. Liu,et al. The amplitude of the resting-state fMRI global signal is related to EEG vigilance measures , 2013, NeuroImage.
[57] Darren Price,et al. Investigating the electrophysiological basis of resting state networks using magnetoencephalography , 2011, Proceedings of the National Academy of Sciences.
[58] Carl D. Hacker,et al. Frequency-specific electrophysiologic correlates of resting state fMRI networks , 2017, NeuroImage.
[59] M. Corbetta,et al. Right Hemisphere Dominance during Spatial Selective Attention and Target Detection Occurs Outside the Dorsal Frontoparietal Network , 2010, The Journal of Neuroscience.
[60] Timothy Edward John Behrens,et al. Task-free MRI predicts individual differences in brain activity during task performance , 2016, Science.
[61] N. Logothetis,et al. Neurophysiological investigation of the basis of the fMRI signal , 2001, Nature.
[62] Gian Luca Romani,et al. Being an agent or an observer: Different spectral dynamics revealed by MEG , 2014, NeuroImage.
[63] David M. Groppe,et al. Neurophysiological Investigation of Spontaneous Correlated and Anticorrelated Fluctuations of the BOLD Signal , 2013, The Journal of Neuroscience.
[64] M. Corbetta,et al. Interaction of Stimulus-Driven Reorienting and Expectation in Ventral and Dorsal Frontoparietal and Basal Ganglia-Cortical Networks , 2009, The Journal of Neuroscience.