Breakdown of long-range temporal dependence in default mode and attention networks during deep sleep
Published 2013 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Breakdown of long-range temporal dependence in default mode and attention networks during deep sleep
Authors
Keywords
-
Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 110, Issue 38, Pages 15419-15424
Publisher
Proceedings of the National Academy of Sciences
Online
2013-09-04
DOI
10.1073/pnas.1312848110
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Large-scale brain functional modularity is reflected in slow electroencephalographic rhythms across the human non-rapid eye movement sleep cycle
- (2013) Enzo Tagliazucchi et al. NEUROIMAGE
- Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome
- (2013) Ariel Haimovici et al. PHYSICAL REVIEW LETTERS
- Neuronal long-range temporal correlations and avalanche dynamics are correlated with behavioral scaling laws
- (2013) J. Matias Palva et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Neuronal Avalanches Differ from Wakefulness to Deep Sleep – Evidence from Intracranial Depth Recordings in Humans
- (2013) Viola Priesemann et al. PLoS Computational Biology
- Automatic sleep staging using fMRI functional connectivity data
- (2012) Enzo Tagliazucchi et al. NEUROIMAGE
- Hierarchical clustering of brain activity during human nonrapid eye movement sleep
- (2012) M. Boly et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Criticality in Large-Scale Brain fMRI Dynamics Unveiled by a Novel Point Process Analysis
- (2012) Enzo Tagliazucchi et al. Frontiers in Physiology
- Scale-free and multifractal time dynamics of fMRI signals during rest and task
- (2012) P Ciuciu Frontiers in Physiology
- Frontoparietal Connectivity and Hierarchical Structure of the Brain’s Functional Network during Sleep
- (2012) Victor I. Spoormaker et al. Frontiers in Neurology
- Development of the Brain's Default Mode Network from Wakefulness to Slow Wave Sleep
- (2011) Philipp G. Sämann et al. CEREBRAL CORTEX
- Scale-Free Properties of the Functional Magnetic Resonance Imaging Signal during Rest and Task
- (2011) B. J. He JOURNAL OF NEUROSCIENCE
- To wake or not to wake? The two-sided nature of the human K-complex
- (2011) Kolja Jahnke et al. NEUROIMAGE
- Large-scale functional brain networks in human non-rapid eye movement sleep: insights from combined electroencephalographic/functional magnetic resonance imaging studies
- (2011) V. I. Spoormaker et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Consciousness as Integrated Information: a Provisional Manifesto
- (2010) Giulio Tononi BIOLOGICAL BULLETIN
- Self-similar correlation function in brain resting-state functional magnetic resonance imaging
- (2010) P. Expert et al. Journal of the Royal Society Interface
- Emergent complex neural dynamics
- (2010) Dante R. Chialvo Nature Physics
- The Temporal Structures and Functional Significance of Scale-free Brain Activity
- (2010) Biyu J. He et al. NEURON
- EEG microstate sequences in healthy humans at rest reveal scale-free dynamics
- (2010) D. Van De Ville et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Patterns of Brain Activity Supporting Autobiographical Memory, Prospection, and Theory of Mind, and Their Relationship to the Default Mode Network
- (2009) R. Nathan Spreng et al. JOURNAL OF COGNITIVE NEUROSCIENCE
- Generic aspects of complexity in brain imaging data and other biological systems
- (2009) Ed Bullmore et al. NEUROIMAGE
- Cortical network functional connectivity in the descent to sleep
- (2009) L. J. Larson-Prior et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Correspondence of the brain's functional architecture during activation and rest
- (2009) S. M. Smith et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Decoupling of the brain's default mode network during deep sleep
- (2009) S. G. Horovitz et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Predicting human resting-state functional connectivity from structural connectivity
- (2009) C. J. Honey et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The fMRI signal, slow cortical potential and consciousness
- (2009) Biyu J. He et al. TRENDS IN COGNITIVE SCIENCES
- Power-Law Scaling in the Brain Surface Electric Potential
- (2009) Kai J. Miller et al. PLoS Computational Biology
- Intrinsic Brain Activity in Altered States of Consciousness
- (2008) M. Boly et al. Annals of the New York Academy of Sciences
- Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
- (2008) M. D. Greicius et al. CEREBRAL CORTEX
- Monofractal and multifractal dynamics of low frequency endogenous brain oscillations in functional MRI
- (2008) Alle-Meije Wink et al. HUMAN BRAIN MAPPING
- Very Slow EEG Fluctuations Predict the Dynamics of Stimulus Detection and Oscillation Amplitudes in Humans
- (2008) S. Monto et al. JOURNAL OF NEUROSCIENCE
- Electrophysiological correlates of the brain's intrinsic large-scale functional architecture
- (2008) B. J. He et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Integrated Information in Discrete Dynamical Systems: Motivation and Theoretical Framework
- (2008) David Balduzzi et al. PLoS Computational Biology
- Low frequency BOLD fluctuations during resting wakefulness and light sleep: A simultaneous EEG-fMRI study
- (2007) Silvina G. Horovitz et al. HUMAN BRAIN MAPPING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now