Is There a Nonadditive Interaction Between Spontaneous and Evoked Activity? Phase‐Dependence and Its Relation to the Temporal Structure of Scale‐Free Brain Activity
暂无分享,去创建一个
Rui Dai | André Longtin | Xuchu Weng | Georg Northoff | Grégory Dumont | Niall W. Duncan | Pengmin Qin | Francesca Ferri | Niall W Duncan | Zirui Huang | F. Ferri | A. Longtin | G. Northoff | Pengmin Qin | N. Duncan | X. Weng | Zirui Huang | Jianfeng Zhang | G. Dumont | J. Pokorny | Rui Dai | Jianfeng Zhang | Johanna Pokorny
[1] 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.
[2] A. Kleinschmidt,et al. Modulation of Visually Evoked Cortical fMRI Responses by Phase of Ongoing Occipital Alpha Oscillations , 2011, The Journal of Neuroscience.
[3] Woodrow L. Shew,et al. Maximal Variability of Phase Synchrony in Cortical Networks with Neuronal Avalanches , 2012, The Journal of Neuroscience.
[4] M. Carandini. Amplification of Trial-to-Trial Response Variability by Neurons in Visual Cortex , 2004, PLoS biology.
[5] G H Glover,et al. Image‐based method for retrospective correction of physiological motion effects in fMRI: RETROICOR , 2000, Magnetic resonance in medicine.
[6] Chaozhe Zhu,et al. An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF , 2008, Journal of Neuroscience Methods.
[7] Mu-ming Poo,et al. Quantal Neurotransmitter Secretion Rate Exhibits Fractal Behavior , 1997, The Journal of Neuroscience.
[8] Andrew M. Clark,et al. Stimulus onset quenches neural variability: a widespread cortical phenomenon , 2010, Nature Neuroscience.
[9] S. Scott,et al. The neuroanatomical and functional organization of speech perception , 2003, Trends in Neurosciences.
[10] 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.
[11] Sampsa Vanhatalo,et al. Early development of spatial patterns of power-law frequency scaling in FMRI resting-state and EEG data in the newborn brain. , 2013, Cerebral cortex.
[12] Tirin Moore,et al. Dissociation of Response Variability from Firing Rate Effects in Frontal Eye Field Neurons during Visual Stimulation, Working Memory, and Attention , 2012, The Journal of Neuroscience.
[13] C. Honey,et al. A place for time: the spatiotemporal structure of neural dynamics during natural audition. , 2013, Journal of neurophysiology.
[14] Catie Chang,et al. Time–frequency dynamics of resting-state brain connectivity measured with fMRI , 2010, NeuroImage.
[15] G. Northoff,et al. Rest-stimulus interaction in the brain: a review , 2010, Trends in Neurosciences.
[16] M. Mintun,et al. Brain work and brain imaging. , 2006, Annual review of neuroscience.
[17] Dost Öngür,et al. Anticorrelations in resting state networks without global signal regression , 2012, NeuroImage.
[18] J. Palva,et al. Very Slow EEG Fluctuations Predict the Dynamics of Stimulus Detection and Oscillation Amplitudes in Humans , 2008, The Journal of Neuroscience.
[19] Bharat B. Biswal,et al. The oscillating brain: Complex and reliable , 2010, NeuroImage.
[20] G. Buzsáki,et al. Neuronal Oscillations in Cortical Networks , 2004, Science.
[21] R. Goebel,et al. Multisensory functional magnetic resonance imaging: a future perspective , 2009, Experimental Brain Research.
[22] Sona Pungavkar,et al. A phase based method for investigating the functional connectivity in the fMRI data , 2004, Proceedings of the IEEE INDICON 2004. First India Annual Conference, 2004..
[23] Michel Le Van Quyen,et al. Analysis of dynamic brain oscillations: methodological advances , 2007, Trends in Neurosciences.
[24] Biyu J. He. Scale-free brain activity: past, present, and future , 2014, Trends in Cognitive Sciences.
[25] Nicholas J. Priebe,et al. The Emergence of Contrast-Invariant Orientation Tuning in Simple Cells of Cat Visual Cortex , 2007, Neuron.
[26] Carl Petersen,et al. Layer- and Column-Specific Knockout of NMDA Receptors in Pyramidal Neurons of the Mouse Barrel Cortex , 2007, Frontiers in integrative neuroscience.
[27] W. Maass,et al. State-dependent computations: spatiotemporal processing in cortical networks , 2009, Nature Reviews Neuroscience.
[28] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[29] T A Carpenter,et al. Colored noise and computational inference in neurophysiological (fMRI) time series analysis: Resampling methods in time and wavelet domains , 2001, Human brain mapping.
[30] Maurizio Corbetta,et al. Anticipatory and Stimulus-Evoked Blood Oxygenation Level-Dependent Modulations Related to Spatial Attention Reflect a Common Additive Signal , 2009, The Journal of Neuroscience.
[31] Myles Jones,et al. Linear Superposition of Sensory-Evoked and Ongoing Cortical Hemodynamics , 2010, Front. Neuroenerg..
[32] József Fiser,et al. Spontaneous Cortical Activity Reveals Hallmarks of an Optimal Internal Model of the Environment , 2011, Science.
[33] Angela R Laird,et al. Characterizing instantaneous phase relationships in whole‐brain fMRI activation data , 2002, Human brain mapping.
[34] G. Northoff,et al. Altered temporal variance and neural synchronization of spontaneous brain activity in anesthesia , 2014, Human brain mapping.
[35] József Fiser,et al. Suppression of cortical neural variability is stimulus- and state-dependent. , 2012, Journal of neurophysiology.
[36] Jonathan D. Power,et al. Intrinsic and Task-Evoked Network Architectures of the Human Brain , 2014, Neuron.
[37] K. Uğurbil,et al. The Spatial Dependence of the Poststimulus Undershoot as Revealed by High-Resolution BOLD- and CBV-Weighted fMRI , 2005, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[38] N. Logothetis,et al. Neurophysiological investigation of the basis of the fMRI signal , 2001, Nature.
[39] D. Heeger,et al. Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1 , 1996, The Journal of Neuroscience.
[40] A. Kleinschmidt,et al. Distributed and Antagonistic Contributions of Ongoing Activity Fluctuations to Auditory Stimulus Detection , 2009, The Journal of Neuroscience.
[41] Tom Johnstone,et al. Motion correction and the use of motion covariates in multiple‐subject fMRI analysis , 2006, Human brain mapping.
[42] Kristina M. Ropella,et al. Estimation of FMRI response delays☆ ☆ Grant sponsor: The Whitaker Foundation Special Opportunity Award Program, the Jobling Foundation, the Anthony J. and Rose Eannelli Bagozzi Medical Research Fellowship. NIH; Grants EY10244, MH51358, GCRC 5M01RR00058. , 2003, NeuroImage.
[43] Stephen D. Mayhew,et al. Intrinsic variability in the human response to pain is assembled from multiple, dynamic brain processes , 2013, NeuroImage.
[44] J. Matias Palva,et al. Infra-slow fluctuations in electrophysiological recordings, blood-oxygenation-level-dependent signals, and psychophysical time series , 2012, NeuroImage.
[45] V. Torre,et al. Spontaneous Electrical Activity and Behavior in the Leech Hirudo Medicinalis , 2007, Frontiers in integrative neuroscience.
[46] John Suckling,et al. Colored noise and computational inference in fMRI time series analysis: resampling methods in time and wavelet domains , 2001, NeuroImage.
[47] Timothy O. Laumann,et al. Functional Network Organization of the Human Brain , 2011, Neuron.
[48] Biyu J. He,et al. Average Is Optimal: An Inverted-U Relationship between Trial-to-Trial Brain Activity and Behavioral Performance , 2013, PLoS Comput. Biol..
[49] J. Martinerie,et al. Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony , 2001, Journal of Neuroscience Methods.
[50] P. Dechent,et al. Basal Cerebral Blood Volume during the Poststimulation Undershoot in BOLD MRI of the Human Brain , 2011, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[51] Andreas Kleinschmidt,et al. Spontaneous local variations in ongoing neural activity bias perceptual decisions , 2008, Proceedings of the National Academy of Sciences.
[52] Jeffrey G. Ojemann,et al. Power-Law Scaling in the Brain Surface Electric Potential , 2009, PLoS Comput. Biol..
[53] H. Laufs,et al. Decoding Wakefulness Levels from Typical fMRI Resting-State Data Reveals Reliable Drifts between Wakefulness and Sleep , 2014, Neuron.
[54] Simon J. R. Heales,et al. Persistent Mitochondrial Damage by Nitric Oxide and its Derivatives: Neuropathological Implications , 2009, Front. Neuroenerg..
[55] Stanislas Dehaene,et al. Cortical activity is more stable when sensory stimuli are consciously perceived , 2015, Proceedings of the National Academy of Sciences.
[56] A. Villringer,et al. How Ongoing Neuronal Oscillations Account for Evoked fMRI Variability , 2011, The Journal of Neuroscience.
[57] Tomer Fekete,et al. Optimizing Complexity Measures for fMRI Data: Algorithm, Artifact, and Sensitivity , 2013, PloS one.
[58] M. Teich,et al. Fractal features of dark, maintained, and driven neural discharges in the cat visual system. , 1999, Methods.
[59] D. Chialvo. Emergent complex neural dynamics , 2010, 1010.2530.
[60] Zhong Yang,et al. Decoupled temporal variability and signal synchronization of spontaneous brain activity in loss of consciousness: An fMRI study in anesthesia , 2016, NeuroImage.
[61] Jeffrey M. Zacks,et al. Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses , 2006, Nature Neuroscience.
[62] Adriano B. L. Tort,et al. Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task , 2008, Proceedings of the National Academy of Sciences.
[63] Gabriele Lohmann,et al. Investigating the wavelet coherence phase of the BOLD signal , 2004, Journal of magnetic resonance imaging : JMRI.
[64] P. Morosan,et al. Human Primary Auditory Cortex: Cytoarchitectonic Subdivisions and Mapping into a Spatial Reference System , 2001, NeuroImage.
[65] Jean-Baptiste Poline,et al. The general linear model and fMRI: Does love last forever? , 2012, NeuroImage.
[66] Andreas Kleinschmidt,et al. Ongoing Activity Fluctuations in hMT+ Bias the Perception of Coherent Visual Motion , 2008, The Journal of Neuroscience.
[67] Biyu J. He. Scale-Free Properties of the Functional Magnetic Resonance Imaging Signal during Rest and Task , 2011, The Journal of Neuroscience.
[68] G. Karmos,et al. Entrainment of Neuronal Oscillations as a Mechanism of Attentional Selection , 2008, Science.
[69] Noah D. Brenowitz,et al. Whole-brain, time-locked activation with simple tasks revealed using massive averaging and model-free analysis , 2012, Proceedings of the National Academy of Sciences.
[70] I. Fried,et al. Coupling between Neuronal Firing Rate, Gamma LFP, and BOLD fMRI Is Related to Interneuronal Correlations , 2007, Current Biology.
[71] E. Brown,et al. Analysis of LFP phase predicts sensory response of barrel cortex. , 2006, Journal of neurophysiology.
[72] F. Varela,et al. Measuring phase synchrony in brain signals , 1999, Human brain mapping.
[73] Guglielmo Foffani,et al. Trial-to-trial variability in the responses of neurons carries information about stimulus location in the rat whisker thalamus , 2011, Proceedings of the National Academy of Sciences.
[74] M. Berger,et al. High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex , 2006, Science.
[75] Sven Haller,et al. Mapping continuous neuronal activation without an ON–OFF paradigm: initial results of BOLD ceiling fMRI , 2006, The European journal of neuroscience.
[76] Biyu J. He. Spontaneous and Task-Evoked Brain Activity Negatively Interact , 2013, The Journal of Neuroscience.
[77] Mikko Sams,et al. Functional Magnetic Resonance Imaging Phase Synchronization as a Measure of Dynamic Functional Connectivity , 2012, Brain Connect..
[78] K. Linkenkaer-Hansen,et al. Neuronal long-range temporal correlations and avalanche dynamics are correlated with behavioral scaling laws , 2013, Proceedings of the National Academy of Sciences.
[79] Keith A. Johnson,et al. Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease , 2009, The Journal of Neuroscience.
[80] Biyu J. He,et al. The Temporal Structures and Functional Significance of Scale-free Brain Activity , 2010, Neuron.
[81] J. Pekar,et al. Physiological origin for the BOLD poststimulus undershoot in human brain: Vascular compliance versus oxygen metabolism , 2011, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[82] C. Gray,et al. Cellular Mechanisms Contributing to Response Variability of Cortical Neurons In Vivo , 1999, The Journal of Neuroscience.
[83] M. Boly,et al. Baseline brain activity fluctuations predict somatosensory perception in humans , 2007, Proceedings of the National Academy of Sciences.
[84] Rui Dai,et al. The self and its resting state in consciousness: An investigation of the vegetative state , 2014, Human brain mapping.
[85] Simon B. Eickhoff,et al. A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data , 2005, NeuroImage.
[86] Biyu J. He,et al. The fMRI signal, slow cortical potential and consciousness , 2009, Trends in Cognitive Sciences.
[87] Jeremy R. Manning,et al. Broadband Shifts in Local Field Potential Power Spectra Are Correlated with Single-Neuron Spiking in Humans , 2009, The Journal of Neuroscience.
[88] A. Grinvald,et al. Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses , 1996, Science.
[89] K. Harris,et al. Spontaneous Events Outline the Realm of Possible Sensory Responses in Neocortical Populations , 2009, Neuron.
[90] J. Palva,et al. Infraslow oscillations modulate excitability and interictal epileptic activity in the human cortex during sleep. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[91] M. Fox,et al. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.
[92] K. Linkenkaer-Hansen,et al. Long-Range Temporal Correlations and Scaling Behavior in Human Brain Oscillations , 2001, The Journal of Neuroscience.
[93] Biyu J. He,et al. Breakdown of Functional Connectivity in Frontoparietal Networks Underlies Behavioral Deficits in Spatial Neglect , 2007, Neuron.
[94] Gustavo Deco,et al. Neural Variability in Premotor Cortex Is Modulated by Trial History and Predicts Behavioral Performance , 2013, Neuron.