Frontiers in Systems Neuroscience Systems Neuroscience the Temporal Structure of Ongoing Brain Activity
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Karl J. Friston | A. Kleinschmidt | S. Sadaghiani | G. Hesselmann | K. Friston | A. Kleinschmidt | Guido Hesselmann
[1] Alexa M. Morcom,et al. Does the brain have a baseline? Why we should be resisting a rest , 2007, NeuroImage.
[2] Vinod Menon,et al. Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[3] I. Fried,et al. Interhemispheric correlations of slow spontaneous neuronal fluctuations revealed in human sensory cortex , 2008, Nature Neuroscience.
[4] J. Born,et al. The memory function of sleep , 2010, Nature Reviews Neuroscience.
[5] D. Schacter,et al. The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.
[6] Karl J. Friston. Hierarchical Models in the Brain , 2008, PLoS Comput. Biol..
[7] 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.
[8] I. Fried,et al. Coupling between Neuronal Firing Rate, Gamma LFP, and BOLD fMRI Is Related to Interneuronal Correlations , 2007, Current Biology.
[9] Lev S Tsimring,et al. Dynamics-based sequential memory: winnerless competition of patterns. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[10] Karl J. Friston. The free-energy principle: a unified brain theory? , 2010, Nature Reviews Neuroscience.
[11] Edward T. Bullmore,et al. Neuroinformatics Original Research Article , 2022 .
[12] K. Christoff,et al. Experience sampling during fMRI reveals default network and executive system contributions to mind wandering , 2009, Proceedings of the National Academy of Sciences.
[13] A. Braun,et al. Decoupling of the brain's default mode network during deep sleep , 2009, Proceedings of the National Academy of Sciences.
[14] Christian Bick,et al. Dynamical origin of the effective storage capacity in the brain's working memory. , 2009, Physical review letters.
[15] Damien A. Fair,et al. Defining functional areas in individual human brains using resting functional connectivity MRI , 2008, NeuroImage.
[16] Biyu J. He,et al. The Temporal Structures and Functional Significance of Scale-free Brain Activity , 2010, Neuron.
[17] M. Raichle. Two views of brain function , 2010, Trends in Cognitive Sciences.
[18] M. D’Esposito,et al. Empirical Analyses of BOLD fMRI Statistics , 1997, NeuroImage.
[19] M. Boly,et al. Consciousness and cerebral baseline activity fluctuations , 2008, Human brain mapping.
[20] A. Kleinschmidt,et al. Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[21] M. Corbetta,et al. Brain signals for spatial attention predict performance in a motion discrimination task. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[22] J. Schoffelen,et al. Prestimulus Oscillatory Activity in the Alpha Band Predicts Visual Discrimination Ability , 2008, The Journal of Neuroscience.
[23] Benjamin J. Shannon,et al. Functional-Anatomic Correlates of Memory Retrieval That Suggest Nontraditional Processing Roles for Multiple Distinct Regions within Posterior Parietal Cortex , 2004, The Journal of Neuroscience.
[24] Victor A. F. Lamme,et al. Source (or Part of the following Source): Type Article Title Internal State of Monkey Primary Visual Cortex (v1) Predicts Figure Ground Perception Author(s) Internal State of Monkey Primary Visual Cortex (v1) Predicts Figure–ground Perception Materials and Methods , 2022 .
[25] Karl J. Friston,et al. Frontiers in Neuroinformatics , 2022 .
[26] D. Lehmann,et al. Adaptive segmentation of spontaneous EEG map series into spatially defined microstates. , 1993, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[27] Alexa M. Morcom,et al. Cognitive neuroscience: The case for design rather than default , 2007, NeuroImage.
[28] Justin L. Vincent,et al. Distinct brain networks for adaptive and stable task control in humans , 2007, Proceedings of the National Academy of Sciences.
[29] T. Asakura,et al. Functional magnetic resonance imaging of the human motor cortex. , 1995, Neurologia medico-chirurgica.
[30] 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.
[31] Justin L. Vincent,et al. Intrinsic functional architecture in the anaesthetized monkey brain , 2007, Nature.
[32] M. Greicius. Resting-state functional connectivity in neuropsychiatric disorders , 2008, Current opinion in neurology.
[33] Philip L. Smith,et al. Psychology and neurobiology of simple decisions , 2004, Trends in Neurosciences.
[34] C. Tallon-Baudry,et al. How Ongoing Fluctuations in Human Visual Cortex Predict Perceptual Awareness: Baseline Shift versus Decision Bias , 2009, The Journal of Neuroscience.
[35] D. Katz,et al. Behavioral states, network states, and sensory response variability. , 2008, Journal of neurophysiology.
[36] Randy L. Buckner,et al. Unrest at rest: Default activity and spontaneous network correlations , 2007, NeuroImage.
[37] Stephen M. Smith,et al. Investigations into resting-state connectivity using independent component analysis , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[38] M. Corbetta,et al. Control of goal-directed and stimulus-driven attention in the brain , 2002, Nature Reviews Neuroscience.
[39] D. Gilden. Cognitive emissions of 1/f noise. , 2001, Psychological review.
[40] O. Jensen,et al. Prestimulus alpha and mu activity predicts failure to inhibit motor responses , 2009, Human brain mapping.
[41] Ivan Toni,et al. 2 Functional Magnetic Resonance Imaging of the Human Motor Cortex , 2005 .
[42] K. Jeffery. Remembrance of futures past , 2004, Trends in Cognitive Sciences.
[43] Diane M. Beck,et al. To See or Not to See: Prestimulus α Phase Predicts Visual Awareness , 2009, The Journal of Neuroscience.
[44] Andreas Kleinschmidt,et al. Spontaneous local variations in ongoing neural activity bias perceptual decisions , 2008, Proceedings of the National Academy of Sciences.
[45] R. Malach,et al. Data-driven clustering reveals a fundamental subdivision of the human cortex into two global systems , 2008, Neuropsychologia.
[46] M. Fox,et al. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.
[47] M. Boly,et al. Functional connectivity in the default network during resting state is preserved in a vegetative but not in a brain dead patient , 2009, Human brain mapping.
[48] A. Kleinschmidt,et al. Distributed and Antagonistic Contributions of Ongoing Activity Fluctuations to Auditory Stimulus Detection , 2009, The Journal of Neuroscience.
[49] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[50] O Sporns,et al. Predicting human resting-state functional connectivity from structural connectivity , 2009, Proceedings of the National Academy of Sciences.
[51] J. Gold,et al. The neural basis of decision making. , 2007, Annual review of neuroscience.
[52] R. Cabeza,et al. Posterior Midline and Ventral Parietal Activity is Associated with Retrieval Success and Encoding Failure , 2009, Front. Hum. Neurosci..
[53] Benoit B. Mandelbrot,et al. Multifractals and 1/f noise : wild self-affinity in physics (1963-1976) : selecta volume N , 1999 .
[54] Kevin Murphy,et al. The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced? , 2009, NeuroImage.
[55] B. Biswal,et al. Simultaneous assessment of flow and BOLD signals in resting‐state functional connectivity maps , 1997, NMR in biomedicine.
[56] A. Kleinschmidt,et al. Anterior insula activations in perceptual paradigms: often observed but barely understood , 2010, Brain Structure and Function.
[57] P. Fransson. Spontaneous low‐frequency BOLD signal fluctuations: An fMRI investigation of the resting‐state default mode of brain function hypothesis , 2005, Human brain mapping.
[58] J. Palva,et al. Very Slow EEG Fluctuations Predict the Dynamics of Stimulus Detection and Oscillation Amplitudes in Humans , 2008, The Journal of Neuroscience.
[59] Habib Benali,et al. Regions, systems, and the brain: Hierarchical measures of functional integration in fMRI , 2008, Medical Image Anal..
[60] M. Boly,et al. Baseline brain activity fluctuations predict somatosensory perception in humans , 2007, Proceedings of the National Academy of Sciences.
[61] A. Pérez-Villalba. Rhythms of the Brain, G. Buzsáki. Oxford University Press, Madison Avenue, New York (2006), Price: GB £42.00, p. 448, ISBN: 0-19-530106-4 , 2008 .
[62] R. VanRullen,et al. The Phase of Ongoing EEG Oscillations Predicts Visual Perception , 2009, The Journal of Neuroscience.
[63] G. Tononi,et al. Molecular and electrophysiological evidence for net synaptic potentiation in wake and depression in sleep , 2008, Nature Neuroscience.
[64] Abraham Z. Snyder,et al. A method for using blocked and event-related fMRI data to study “resting state” functional connectivity , 2007, NeuroImage.
[65] A. Grinvald,et al. Linking spontaneous activity of single cortical neurons and the underlying functional architecture. , 1999, Science.
[66] David J. Foster,et al. Reverse replay of behavioural sequences in hippocampal place cells during the awake state , 2006, Nature.
[67] M. Corbetta,et al. Learning sculpts the spontaneous activity of the resting human brain , 2009, Proceedings of the National Academy of Sciences.
[68] E. Bullmore,et al. Adaptive reconfiguration of fractal small-world human brain functional networks , 2006, Proceedings of the National Academy of Sciences.
[69] A. Yuille,et al. Object perception as Bayesian inference. , 2004, Annual review of psychology.
[70] M. Boly,et al. Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients. , 2010, Brain : a journal of neurology.
[71] 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.
[72] Justin L. Vincent,et al. Intrinsic Fluctuations within Cortical Systems Account for Intertrial Variability in Human Behavior , 2007, Neuron.
[73] K. Linkenkaer-Hansen,et al. Long-Range Temporal Correlations and Scaling Behavior in Human Brain Oscillations , 2001, The Journal of Neuroscience.
[74] Daniel S. Margulies,et al. Mapping the functional connectivity of anterior cingulate cortex , 2007, NeuroImage.
[75] Karl J. Friston,et al. A theory of cortical responses , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[76] Karl J. Friston,et al. Predictive coding explains binocular rivalry: An epistemological review , 2008, Cognition.
[77] Andreas Kleinschmidt,et al. Ongoing Activity Fluctuations in hMT+ Bias the Perception of Coherent Visual Motion , 2008, The Journal of Neuroscience.
[78] G. Jackson,et al. Effect of prior cognitive state on resting state networks measured with functional connectivity , 2005, Human brain mapping.
[79] Karl J. Friston,et al. Predictive Coding or Evidence Accumulation? False Inference and Neuronal Fluctuations , 2010, PloS one.
[80] G Tononi,et al. Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices. , 2000, Cerebral cortex.
[81] Karl J. Friston,et al. Recognizing Sequences of Sequences , 2009, PLoS Comput. Biol..
[82] M. Schölvinck,et al. Neural basis of global resting-state fMRI activity , 2010, Proceedings of the National Academy of Sciences.
[83] S. Rombouts,et al. Hierarchical functional modularity in the resting‐state human brain , 2009, Human brain mapping.
[84] Gustavo Deco,et al. Stochastic dynamics as a principle of brain function , 2009, Progress in Neurobiology.
[85] M. Greicius,et al. Resting-state functional connectivity reflects structural connectivity in the default mode network. , 2009, Cerebral cortex.
[86] Kristina M. Visscher,et al. A Core System for the Implementation of Task Sets , 2006, Neuron.
[87] Karl J. Friston. The free-energy principle: a rough guide to the brain? , 2009, Trends in Cognitive Sciences.
[88] G. Gerstein,et al. Trial-to-Trial Variability and State-Dependent Modulation of Auditory-Evoked Responses in Cortex , 1999, The Journal of Neuroscience.
[89] Adam R. Walczak,et al. At the heart of the ventral attention system: The right anterior insula , 2009, Human brain mapping.
[90] Justin L. Vincent,et al. Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[91] M. Fukunaga,et al. Low frequency BOLD fluctuations during resting wakefulness and light sleep: A simultaneous EEG‐fMRI study , 2008, Human brain mapping.
[92] W. Freeman,et al. Spatial spectral analysis of human electrocorticograms including the alpha and gamma bands , 2000, Journal of Neuroscience Methods.
[93] A. Grinvald,et al. Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses , 1996, Science.
[94] Jun Tani,et al. Learning to imitate stochastic time series in a compositional way by chaos , 2008, Neural Networks.
[95] Derek Abbott,et al. What Is Stochastic Resonance? Definitions, Misconceptions, Debates, and Its Relevance to Biology , 2009, PLoS Comput. Biol..
[96] M. D’Esposito,et al. Empirical Analyses of BOLD fMRI Statistics , 1997, NeuroImage.
[97] Jeff H. Duyn,et al. Modulation of spontaneous fMRI activity in human visual cortex by behavioral state , 2009, NeuroImage.
[98] H. Nusbaum,et al. Task-dependent organization of brain regions active during rest , 2009, Proceedings of the National Academy of Sciences.
[99] O. Sporns,et al. Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.
[100] Rafael Malach,et al. Extrinsic and intrinsic systems in the posterior cortex of the human brain revealed during natural sensory stimulation. , 2007, Cerebral cortex.
[101] D. Leopold,et al. Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: Implications for functional connectivity at rest , 2008, Human brain mapping.
[102] M. Corbetta,et al. Neural Systems for Visual Orienting and Their Relationships to Spatial Working Memory , 2002, Journal of Cognitive Neuroscience.
[103] G. Glover,et al. Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control , 2007, The Journal of Neuroscience.
[104] Jeffrey M. Zacks,et al. Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses , 2006, Nature Neuroscience.
[105] V. Menon,et al. A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks , 2008, Proceedings of the National Academy of Sciences.
[106] Karl J. Friston,et al. The physiological basis of attentional modulation in extrastriate visual areas , 1999, Nature Neuroscience.
[107] I. Tsuda. Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems. , 2001, The Behavioral and brain sciences.
[108] M. D’Esposito,et al. Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions. , 1997, NeuroImage.
[109] Edwin M. Robertson,et al. The Resting Human Brain and Motor Learning , 2009, Current Biology.
[110] Vince D. Calhoun,et al. Measuring brain connectivity: Diffusion tensor imaging validates resting state temporal correlations , 2008, NeuroImage.
[111] 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.
[112] Justin L. Vincent,et al. Precuneus shares intrinsic functional architecture in humans and monkeys , 2009, Proceedings of the National Academy of Sciences.
[113] Jean-Baptiste Poline,et al. A group model for stable multi-subject ICA on fMRI datasets , 2010, NeuroImage.
[114] M. Fox,et al. The global signal and observed anticorrelated resting state brain networks. , 2009, Journal of neurophysiology.
[115] Á. Pascual-Leone,et al. Spontaneous fluctuations in posterior alpha-band EEG activity reflect variability in excitability of human visual areas. , 2008, Cerebral cortex.
[116] N. Logothetis,et al. Very slow activity fluctuations in monkey visual cortex: implications for functional brain imaging. , 2003, Cerebral cortex.
[117] Justin L. Vincent,et al. Evidence for a frontoparietal control system revealed by intrinsic functional connectivity. , 2008, Journal of neurophysiology.
[118] Nicholas A. Ketz,et al. Enhanced Brain Correlations during Rest Are Related to Memory for Recent Experiences , 2010, Neuron.
[119] M. Raichle,et al. Searching for a baseline: Functional imaging and the resting human brain , 2001, Nature Reviews Neuroscience.
[120] B. Mandelbrot,et al. Multifractals and 1/{hookl}f Noise : Wild Self-Affinity in Physics (1963-1976) , 1998 .
[121] Stephen M. Smith,et al. Advances and Pitfalls in the Analysis and Interpretation of Resting-State FMRI Data , 2010, Front. Syst. Neurosci..
[122] A. Grinvald,et al. Spontaneously emerging cortical representations of visual attributes , 2003, Nature.
[123] R. Henson. Neuroimaging studies of priming , 2003, Progress in Neurobiology.
[124] M. Greicius,et al. Persistent default‐mode network connectivity during light sedation , 2008, Human brain mapping.
[125] Biyu J. He,et al. Electrophysiological correlates of the brain's intrinsic large-scale functional architecture , 2008, Proceedings of the National Academy of Sciences.
[126] K. Linkenkaer-Hansen,et al. Prestimulus Oscillations Enhance Psychophysical Performance in Humans , 2004, The Journal of Neuroscience.