Neural and metabolic basis of dynamic resting state fMRI

[1]  Morten L. Kringelbach,et al.  Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms , 2017, NeuroImage.

[2]  Dustin Scheinost,et al.  Influences on the Test–Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility , 2017, Cerebral cortex.

[3]  Richard G. Wise,et al.  Mapping the pharmacological modulation of brain oxygen metabolism: The effects of caffeine on absolute CMRO2 measured using dual calibrated fMRI , 2017, NeuroImage.

[4]  Maysam Nezafati,et al.  Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies , 2017, NeuroImage.

[5]  Mark W. Woolrich,et al.  Discovering dynamic brain networks from big data in rest and task , 2017, NeuroImage.

[6]  Tianming Liu,et al.  Dynamic brain connectivity is a better predictor of PTSD than static connectivity , 2017, Human brain mapping.

[7]  Shella D. Keilholz,et al.  Infraslow Electroencephalographic and Dynamic Resting State Network Activity , 2017, Brain Connect..

[8]  Jonathan W. Schooler,et al.  States of Mind: Characterizing the Neural Bases of Focus and Mind-wandering through Dynamic Functional Connectivity , 2017, Journal of Cognitive Neuroscience.

[9]  J. B. Holzman,et al.  Heart rate variability indices as bio-markers of top-down self-regulatory mechanisms: A meta-analytic review , 2017, Neuroscience & Biobehavioral Reviews.

[10]  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.

[11]  Vince D. Calhoun,et al.  Time-varying spectral power of resting-state fMRI networks reveal cross-frequency dependence in dynamic connectivity , 2017, PloS one.

[12]  Theo G. M. van Erp,et al.  Multisite reliability of MR-based functional connectivity , 2017, NeuroImage.

[13]  Meiling Li,et al.  Dynamic functional network connectivity in idiopathic generalized epilepsy with generalized tonic–clonic seizure , 2017, Human brain mapping.

[14]  Qing Yang,et al.  Abnormal dynamics of cortical resting state functional connectivity in chronic headache patients. , 2017, Magnetic resonance imaging.

[15]  Nanyin Zhang,et al.  Dynamic Connectivity Patterns in Conscious and Unconscious Brain , 2017, Brain Connect..

[16]  ShiNung Ching,et al.  Sevoflurane Alters Spatiotemporal Functional Connectivity Motifs That Link Resting-State Networks during Wakefulness , 2016, Front. Neural Circuits.

[17]  Ajay D. Wasan,et al.  Human Posterior Insula Functional Connectivity Differs Between Electrical Pain and the Resting State , 2016, Brain Connect..

[18]  Danielle S Bassett,et al.  Detection of functional brain network reconfiguration during task-driven cognitive states , 2016, NeuroImage.

[19]  E. Ganz,et al.  A Hitchhiker's Guide to Functional Magnetic Resonance Imaging , 2016, Front. Neurosci..

[20]  Evan M. Gordon,et al.  On the Stability of BOLD fMRI Correlations , 2016, Cerebral cortex.

[21]  Leonardo L. Gollo,et al.  Mapping how local perturbations influence systems-level brain dynamics , 2016, NeuroImage.

[22]  J. Jean Chen,et al.  Quantitative mapping of cerebrovascular reactivity using resting-state BOLD fMRI: Validation in healthy adults , 2016, NeuroImage.

[23]  John M. Beggs,et al.  A novel cross-frequency coupling detection method using the generalized Morse wavelets , 2016, Journal of Neuroscience Methods.

[24]  C. Sorg,et al.  Ongoing Slow Fluctuations in V1 Impact on Visual Perception , 2016, Front. Hum. Neurosci..

[25]  Dustin Scheinost,et al.  Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks , 2016, IEEE Transactions on Biomedical Engineering.

[26]  Juan Zhou,et al.  Spontaneous eyelid closures link vigilance fluctuation with fMRI dynamic connectivity states , 2016, Proceedings of the National Academy of Sciences.

[27]  Garth J Thompson,et al.  The Whole-Brain "Global" Signal from Resting State fMRI as a Potential Biomarker of Quantitative State Changes in Glucose Metabolism , 2016, Brain Connect..

[28]  Maryam Falahpour,et al.  Underconnected, But Not Broken? Dynamic Functional Connectivity MRI Shows Underconnectivity in Autism Is Linked to Increased Intra-Individual Variability Across Time , 2016, Brain Connect..

[29]  Chin-Hui Lee,et al.  Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain states , 2016, NeuroImage.

[30]  S. Whitfield-Gabrieli,et al.  Dynamic Resting-State Functional Connectivity in Major Depression , 2016, Neuropsychopharmacology.

[31]  Jürgen Hennig,et al.  Ultra-fast magnetic resonance encephalography of physiological brain activity – Glymphatic pulsation mechanisms? , 2016, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[32]  D. Shen,et al.  Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification , 2016, Brain Imaging and Behavior.

[33]  R G Wise,et al.  Spontaneous physiological variability modulates dynamic functional connectivity in resting-state functional magnetic resonance imaging , 2016, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[34]  Lucie A Low,et al.  Comparing the Effects of Isoflurane and Alpha Chloralose upon Mouse Physiology , 2016, PloS one.

[35]  N. D. Volkow,et al.  Temporal Changes in Local Functional Connectivity Density Reflect the Temporal Variability of the Amplitude of Low Frequency Fluctuations in Gray Matter , 2016, PloS one.

[36]  Jared X. Van Snellenberg,et al.  Dynamic Connectivity between Brain Networks Supports Working Memory: Relationships to Dopamine Release and Schizophrenia , 2016, The Journal of Neuroscience.

[37]  Jessica A. Turner,et al.  Higher Dimensional Meta-State Analysis Reveals Reduced Resting fMRI Connectivity Dynamism in Schizophrenia Patients , 2016, PloS one.

[38]  Scott J Peltier,et al.  Dynamic filtering improves attentional state prediction with fNIRS. , 2016, Biomedical optics express.

[39]  Arthur W. Toga,et al.  Modulation of Frontoparietal Neurovascular Dynamics in Working Memory , 2016, Journal of Cognitive Neuroscience.

[40]  Lars T. Westlye,et al.  The brain functional connectome is robustly altered by lack of sleep , 2016, NeuroImage.

[41]  Gustavo Deco,et al.  Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI? , 2016, NeuroImage.

[42]  V. Calhoun,et al.  Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approach , 2016, Schizophrenia Research.

[43]  Arne Møller,et al.  Uniform distributions of glucose oxidation and oxygen extraction in gray matter of normal human brain: No evidence of regional differences of aerobic glycolysis , 2016, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[44]  Lubin Wang,et al.  Changes in functional connectivity dynamics associated with vigilance network in taxi drivers , 2016, NeuroImage.

[45]  Amir Shmuel,et al.  Laminar Distribution of Phase-Amplitude Coupling of Spontaneous Current Sources and Sinks , 2015, Front. Neurosci..

[46]  S. Stufflebeam,et al.  Using network dynamic fMRI for detection of epileptogenic foci , 2015, BMC Neurology.

[47]  John H. Gilmore,et al.  Network-Level Connectivity Dynamics of Movie Watching in 6-Year-Old Children , 2015, Front. Hum. Neurosci..

[48]  Kay Jann,et al.  Characterizing Resting-State Brain Function Using Arterial Spin Labeling , 2015, Brain Connect..

[49]  Vince D. Calhoun,et al.  Dynamic coherence analysis of resting fMRI data to jointly capture state-based phase, frequency, and time-domain information , 2015, NeuroImage.

[50]  Steven Laureys,et al.  Large-scale signatures of unconsciousness are consistent with a departure from critical dynamics , 2015, Journal of The Royal Society Interface.

[51]  Yihong Yang,et al.  Spontaneous functional network dynamics and associated structural substrates in the human brain , 2015, Front. Hum. Neurosci..

[52]  Gaoyan Zhang,et al.  Impact of real-time fMRI working memory feedback training on the interactions between three core brain networks , 2015, Front. Behav. Neurosci..

[53]  M. DiNuzzo Isn't functional neuroimaging all about Ca2+ signaling in astrocytes? , 2015, Journal of neurophysiology.

[54]  Shella D. Keilholz,et al.  Considerations for resting state functional MRI and functional connectivity studies in rodents , 2015, Front. Neurosci..

[55]  Ata Akin,et al.  Similarity analysis of functional connectivity with functional near-infrared spectroscopy , 2015, Journal of biomedical optics.

[56]  D. Hu,et al.  Predicting individual brain maturity using dynamic functional connectivity , 2015, Front. Hum. Neurosci..

[57]  Hanli Liu,et al.  Dynamic functional connectivity revealed by resting-state functional near-infrared spectroscopy. , 2015, Biomedical optics express.

[58]  Gustavo Deco,et al.  Gradual emergence of spontaneous correlated brain activity during fading of general anesthesia in rats: Evidences from fMRI and local field potentials , 2015, NeuroImage.

[59]  Laura C. Buchanan,et al.  Tracking ongoing cognition in individuals using brief, whole-brain functional connectivity patterns , 2015, Proceedings of the National Academy of Sciences.

[60]  L. Douw,et al.  Loss of Resting-State Posterior Cingulate Flexibility Is Associated with Memory Disturbance in Left Temporal Lobe Epilepsy , 2015, PloS one.

[61]  Sepideh Sadaghiani,et al.  Ongoing dynamics in large-scale functional connectivity predict perception , 2015, Proceedings of the National Academy of Sciences.

[62]  Wen-Ju Pan,et al.  Different dynamic resting state fMRI patterns are linked to different frequencies of neural activity. , 2015, Journal of neurophysiology.

[63]  Bruce R. Rosen,et al.  Layer-specific interhemispheric functional connectivity in the somatosensory cortex of rats: resting state electrophysiology and fMRI studies , 2015, Brain Structure and Function.

[64]  Joerg F. Hipp,et al.  BOLD fMRI Correlation Reflects Frequency-Specific Neuronal Correlation , 2015, Current Biology.

[65]  Stephen D. Mayhew,et al.  Influence of epoch length on measurement of dynamic functional connectivity in wakefulness and behavioural validation in sleep , 2015, NeuroImage.

[66]  Catie Chang,et al.  Introducing co-activation pattern metrics to quantify spontaneous brain network dynamics , 2015, NeuroImage.

[67]  Lawrence H Snyder,et al.  Functional connectivity arises from a slow rhythmic mechanism , 2015, Proceedings of the National Academy of Sciences.

[68]  Sungho Tak,et al.  Associations of Resting-State fMRI Functional Connectivity with Flow-BOLD Coupling and Regional Vasculature , 2015, Brain Connect..

[69]  Giancarlo Valente,et al.  The Default Mode Network and the Working Memory Network Are Not Anti-Correlated during All Phases of a Working Memory Task , 2015, PloS one.

[70]  M. Raichle,et al.  Lag threads organize the brain’s intrinsic activity , 2015, Proceedings of the National Academy of Sciences.

[71]  Enzo Tagliazucchi,et al.  Multimodal Imaging of Dynamic Functional Connectivity , 2015, Front. Neurol..

[72]  Hao He,et al.  Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia , 2015, NeuroImage.

[73]  Xiping Liu,et al.  Dynamic Repertoire of Intrinsic Brain States Is Reduced in Propofol-Induced Unconsciousness , 2015, Brain Connect..

[74]  Baxter P. Rogers,et al.  Evolution of Functional Connectivity of Brain Networks and Their Dynamic Interaction in Temporal Lobe Epilepsy , 2015, Brain Connect..

[75]  Jaroslav Hlinka,et al.  On the danger of detecting network states in white noise , 2015, Front. Comput. Neurosci..

[76]  Thomas J. Grabowski,et al.  Dynamic Connectivity at Rest Predicts Attention Task Performance , 2015, Brain Connect..

[77]  Hillary D. Schwarb,et al.  Errors on interrupter tasks presented during spatial and verbal working memory performance are linearly linked to large-scale functional network connectivity in high temporal resolution resting state fMRI , 2015, Brain Imaging and Behavior.

[78]  M. Sigman,et al.  Signature of consciousness in the dynamics of resting-state brain activity , 2015, Proceedings of the National Academy of Sciences.

[79]  Dimitri Van De Ville,et al.  On spurious and real fluctuations of dynamic functional connectivity during rest , 2015, NeuroImage.

[80]  Xiao Liu,et al.  Dynamic resting state functional connectivity in awake and anesthetized rodents , 2015, NeuroImage.

[81]  Feng Liu,et al.  Steady-State BOLD Response Modulates Low Frequency Neural Oscillations , 2014, Scientific Reports.

[82]  Fanglin Chen,et al.  Internetwork dynamic connectivity effectively differentiates schizophrenic patients from healthy controls , 2014, Neuroreport.

[83]  Shella D. Keilholz,et al.  The Neural Basis of Time-Varying Resting-State Functional Connectivity , 2014, Brain Connect..

[84]  Ravi S. Menon,et al.  Isoflurane induces dose‐dependent alterations in the cortical connectivity profiles and dynamic properties of the brain's functional architecture , 2014, Human brain mapping.

[85]  Xiaoping Hu,et al.  Behavioral Relevance of the Dynamics of the Functional Brain Connectome , 2014, Brain Connect..

[86]  Yufeng Zang,et al.  Synchronous Multiscale Neuroimaging Environment for Critically Sampled Physiological Analysis of Brain Function: Hepta-Scan Concept , 2014, Brain Connect..

[87]  Mikko Sams,et al.  Emotional speech synchronizes brains across listeners and engages large-scale dynamic brain networks , 2014, NeuroImage.

[88]  V. Calhoun,et al.  Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects , 2014, Front. Hum. Neurosci..

[89]  Martin A. Lindquist,et al.  Evaluating dynamic bivariate correlations in resting-state fMRI: A comparison study and a new approach , 2014, NeuroImage.

[90]  Seong-Gi Kim,et al.  Neuronal and Physiological Correlation to Hemodynamic Resting-State Fluctuations in Health and Disease , 2014, Brain Connect..

[91]  Y. Zang,et al.  Dynamical intrinsic functional architecture of the brain during absence seizures , 2014, Brain Structure and Function.

[92]  V. Calhoun,et al.  The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery , 2014, Neuron.

[93]  Aaron Kucyi,et al.  Dynamic functional connectivity of the default mode network tracks daydreaming , 2014, NeuroImage.

[94]  Congwu Du,et al.  Low-frequency calcium oscillations accompany deoxyhemoglobin oscillations in rat somatosensory cortex , 2014, Proceedings of the National Academy of Sciences.

[95]  Yufeng Wang,et al.  Atomic dynamic functional interaction patterns for characterization of ADHD , 2014, Human brain mapping.

[96]  Santiago Canals,et al.  Functional MRI in Mice Lacking IP3-Dependent Calcium Signaling in Astrocytes , 2014, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[97]  P. Geurts,et al.  Cerebral functional connectivity periodically (de)synchronizes with anatomical constraints , 2014, Brain Structure and Function.

[98]  Dinggang Shen,et al.  Multiple-Network Classification of Childhood Autism Using Functional Connectivity Dynamics , 2014, MICCAI.

[99]  Louis Lemieux,et al.  Altered fMRI Connectivity Dynamics in Temporal Lobe Epilepsy Might Explain Seizure Semiology , 2014, Front. Neurol..

[100]  Jessica R. Cohen,et al.  Quantifying the Reconfiguration of Intrinsic Networks during Working Memory , 2014, PloS one.

[101]  F. Deligianni,et al.  Relating resting-state fMRI and EEG whole-brain connectomes across frequency bands , 2014, Front. Neurosci..

[102]  A. Belger,et al.  Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia , 2014, NeuroImage: Clinical.

[103]  Steven Laureys,et al.  Posterior Cingulate Cortex-Related Co-Activation Patterns: A Resting State fMRI Study in Propofol-Induced Loss of Consciousness , 2014, PloS one.

[104]  D. Jaeger,et al.  Phase-amplitude coupling and infraslow (<1 Hz) frequencies in the rat brain: relationship to resting state fMRI , 2014, Front. Integr. Neurosci..

[105]  D. Chialvo,et al.  Enhanced repertoire of brain dynamical states during the psychedelic experience , 2014, Human brain mapping.

[106]  H. Laufs,et al.  Decoding Wakefulness Levels from Typical fMRI Resting-State Data Reveals Reliable Drifts between Wakefulness and Sleep , 2014, Neuron.

[107]  Qingming Luo,et al.  Coherent slow cortical potentials reveal a superior localization of resting-state functional connectivity using voltage-sensitive dye imaging , 2014, NeuroImage.

[108]  Vince D. Calhoun,et al.  Dynamic changes of spatial functional network connectivity in healthy individuals and schizophrenia patients using independent vector analysis , 2014, NeuroImage.

[109]  Dajiang Zhu,et al.  Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients , 2014, Human brain mapping.

[110]  S. Keilholz,et al.  Time‐dependent effects of isoflurane and dexmedetomidine on functional connectivity, spectral characteristics, and spatial distribution of spontaneous BOLD fluctuations , 2014, NMR in biomedicine.

[111]  Eswar Damaraju,et al.  Tracking whole-brain connectivity dynamics in the resting state. , 2014, Cerebral cortex.

[112]  J. Matias Palva,et al.  Infra-Slow EEG Fluctuations Are Correlated with Resting-State Network Dynamics in fMRI , 2014, The Journal of Neuroscience.

[113]  Dieter Jaeger,et al.  Quasi-periodic patterns (QPP): Large-scale dynamics in resting state fMRI that correlate with local infraslow electrical activity , 2014, NeuroImage.

[114]  Sungho Tak,et al.  Dynamic and static contributions of the cerebrovasculature to the resting-state BOLD signal , 2014, NeuroImage.

[115]  Hillary D. Schwarb,et al.  Short‐time windows of correlation between large‐scale functional brain networks predict vigilance intraindividually and interindividually , 2013, Human brain mapping.

[116]  Dieter Jaeger,et al.  Neural correlates of time-varying functional connectivity in the rat , 2013, NeuroImage.

[117]  Thomas T. Liu,et al.  The amplitude of the resting-state fMRI global signal is related to EEG vigilance measures , 2013, NeuroImage.

[118]  Dustin Scheinost,et al.  Real-time fMRI links subjective experience with brain activity during focused attention , 2013, NeuroImage.

[119]  Dimitri Van De Ville,et al.  Dynamic reconfiguration of human brain functional networks through neurofeedback , 2013, NeuroImage.

[120]  David A. Leopold,et al.  Dynamic functional connectivity: Promise, issues, and interpretations , 2013, NeuroImage.

[121]  Shella D. Keilholz,et al.  Effects of Severing the Corpus Callosum on Electrical and BOLD Functional Connectivity and Spontaneous Dynamic Activity in the Rat Brain , 2013, Brain Connect..

[122]  Ravi S. Menon,et al.  Resting‐state networks show dynamic functional connectivity in awake humans and anesthetized macaques , 2013, Human brain mapping.

[123]  Peiying Liu,et al.  A comparison of physiologic modulators of fMRI signals , 2013, Human brain mapping.

[124]  Peter Herman,et al.  Quantitative basis for neuroimaging of cortical laminae with calibrated functional MRI , 2013, Proceedings of the National Academy of Sciences.

[125]  N. Volkow,et al.  Energetic cost of brain functional connectivity , 2013, Proceedings of the National Academy of Sciences.

[126]  John H. Gilmore,et al.  The dynamic reorganization of the default-mode network during a visual classification task , 2013, Front. Syst. Neurosci..

[127]  Maurizio Corbetta,et al.  Resting-State Functional Connectivity Emerges from Structurally and Dynamically Shaped Slow Linear Fluctuations , 2013, The Journal of Neuroscience.

[128]  Dieter Jaeger,et al.  Infraslow LFP correlates to resting-state fMRI BOLD signals , 2013, NeuroImage.

[129]  G. Pelled,et al.  Genetic tools to manipulate MRI contrast , 2013, NMR in biomedicine.

[130]  J. Gore,et al.  The Relationship of Anatomical and Functional Connectivity to Resting-State Connectivity in Primate Somatosensory Cortex , 2013, Neuron.

[131]  Judson A. Brewer,et al.  Effortless awareness: using real time neurofeedback to investigate correlates of posterior cingulate cortex activity in meditators' self-report , 2013, Front. Hum. Neurosci..

[132]  Xiao Liu,et al.  EEG correlates of time-varying BOLD functional connectivity , 2013, NeuroImage.

[133]  David M. Groppe,et al.  Neurophysiological Investigation of Spontaneous Correlated and Anticorrelated Fluctuations of the BOLD Signal , 2013, The Journal of Neuroscience.

[134]  A. Konnerth,et al.  Making Waves: Initiation and Propagation of Corticothalamic Ca2+ Waves In Vivo , 2013, Neuron.

[135]  Hans-Jochen Heinze,et al.  Association between heart rate variability and fluctuations in resting-state functional connectivity , 2013, NeuroImage.

[136]  J. Duyn,et al.  Time-varying functional network information extracted from brief instances of spontaneous brain activity , 2013, Proceedings of the National Academy of Sciences.

[137]  Shella D. Keilholz,et al.  Dynamic Properties of Functional Connectivity in the Rodent , 2013, Brain Connect..

[138]  Jürgen Hennig,et al.  Tracking dynamic resting-state networks at higher frequencies using MR-encephalography , 2013, NeuroImage.

[139]  Yong He,et al.  Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain , 2013, Proceedings of the National Academy of Sciences.

[140]  Enzo Tagliazucchi,et al.  Dynamic BOLD functional connectivity in humans and its electrophysiological correlates , 2012, Front. Hum. Neurosci..

[141]  Sabine Kastner,et al.  Electrophysiological Low-Frequency Coherence and Cross-Frequency Coupling Contribute to BOLD Connectivity , 2012, Neuron.

[142]  Fahmeed Hyder,et al.  Quantitative fMRI and oxidative neuroenergetics , 2012, NeuroImage.

[143]  Jin Fan,et al.  Spontaneous Brain Activity Relates to Autonomic Arousal , 2012, The Journal of Neuroscience.

[144]  Ning Zhong,et al.  Changes in the brain intrinsic organization in both on-task state and post-task resting state , 2012, NeuroImage.

[145]  S. Everling,et al.  Monkey in the middle: why non-human primates are needed to bridge the gap in resting-state investigations , 2012, Front. Neuroanat..

[146]  David T. Jones,et al.  Non-Stationarity in the “Resting Brain’s” Modular Architecture , 2012, PloS one.

[147]  Amir Shmuel,et al.  Evaluation and calibration of functional network modeling methods based on known anatomical connections , 2012, NeuroImage.

[148]  F. Helmchen,et al.  Simultaneous BOLD fMRI and fiber-optic calcium recording in rat neocortex , 2012, Nature Methods.

[149]  Talma Hendler,et al.  Portraying emotions at their unfolding: A multilayered approach for probing dynamics of neural networks , 2012, NeuroImage.

[150]  Abraham Z. Snyder,et al.  Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.

[151]  Thomas T. Liu,et al.  Caffeine increases the temporal variability of resting-state BOLD connectivity in the motor cortex , 2012, NeuroImage.

[152]  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.

[153]  Patrice Jissendi,et al.  Cerebellum: links between development, developmental disorders and motor learning , 2012, Front. Neuroanat..

[154]  Pablo Balenzuela,et al.  Criticality in Large-Scale Brain fMRI Dynamics Unveiled by a Novel Point Process Analysis , 2012, Front. Physio..

[155]  Vesa Kiviniemi,et al.  A Sliding Time-Window ICA Reveals Spatial Variability of the Default Mode Network in Time , 2011, Brain Connect..

[156]  J. Ojemann,et al.  Quasi-periodic Fluctuations in Default Mode Network Electrophysiology , 2011, The Journal of Neuroscience.

[157]  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..

[158]  Vince D. Calhoun,et al.  Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering , 2011, NeuroImage.

[159]  Marcus E. Raichle,et al.  The Restless Brain , 2011, Brain Connect..

[160]  N. Matsuki,et al.  Large-Scale Calcium Waves Traveling through Astrocytic Networks In Vivo , 2011, The Journal of Neuroscience.

[161]  Waqas Majeed,et al.  Spatiotemporal dynamics of low frequency BOLD fluctuations in rats and humans , 2011, NeuroImage.

[162]  Georg Northoff,et al.  The brain and its resting state activity—Experimental and methodological implications , 2010, Progress in Neurobiology.

[163]  Cheryl L. Grady,et al.  Task-Related Effects on the Temporal and Spatial Dynamics of Resting-State Functional Connectivity in the Default Network , 2010, PloS one.

[164]  Dimitri Van De Ville,et al.  BOLD correlates of EEG topography reveal rapid resting-state network dynamics , 2010, NeuroImage.

[165]  S. Keilholz,et al.  Functional connectivity in blood oxygenation level‐dependent and cerebral blood volume‐weighted resting state functional magnetic resonance imaging in the rat brain , 2010, Journal of magnetic resonance imaging : JMRI.

[166]  M. Schölvinck,et al.  Neural basis of global resting-state fMRI activity , 2010, Proceedings of the National Academy of Sciences.

[167]  M. Corbetta,et al.  Temporal dynamics of spontaneous MEG activity in brain networks , 2010, Proceedings of the National Academy of Sciences.

[168]  Catie Chang,et al.  Time–frequency dynamics of resting-state brain connectivity measured with fMRI , 2010, NeuroImage.

[169]  Kent A. Kiehl,et al.  A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia , 2010, Magnetic Resonance Materials in Physics, Biology and Medicine.

[170]  Nicholas A. Ketz,et al.  Enhanced Brain Correlations during Rest Are Related to Memory for Recent Experiences , 2010, Neuron.

[171]  A. Kleinschmidt,et al.  Distributed and Antagonistic Contributions of Ongoing Activity Fluctuations to Auditory Stimulus Detection , 2009, The Journal of Neuroscience.

[172]  Waqas Majeed,et al.  Spatiotemporal dynamics of low frequency fluctuations in BOLD fMRI of the rat , 2009, Journal of magnetic resonance imaging : JMRI.

[173]  Yusuke Murayama,et al.  How not to study spontaneous activity , 2009, NeuroImage.

[174]  Yihong Yang,et al.  Mapping functional connectivity based on synchronized CMRO2 fluctuations during the resting state , 2009, NeuroImage.

[175]  Kevin Murphy,et al.  The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced? , 2009, NeuroImage.

[176]  J. Gabrieli,et al.  Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia , 2009, Proceedings of the National Academy of Sciences.

[177]  Biyu J. He,et al.  Electrophysiological correlates of the brain's intrinsic large-scale functional architecture , 2008, Proceedings of the National Academy of Sciences.

[178]  Alan C. Evans,et al.  Revealing modular architecture of human brain structural networks by using cortical thickness from MRI. , 2008, Cerebral cortex.

[179]  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.

[180]  N. Logothetis What we can do and what we cannot do with fMRI , 2008, Nature.

[181]  Kenneth Hugdahl,et al.  Prediction of human errors by maladaptive changes in event-related brain networks , 2008, Proceedings of the National Academy of Sciences.

[182]  Peter A. Bandettini,et al.  The respiration response function: The temporal dynamics of fMRI signal fluctuations related to changes in respiration , 2008, NeuroImage.

[183]  Peter Herman,et al.  Energetics of neuronal signaling and fMRI activity , 2007, Proceedings of the National Academy of Sciences.

[184]  V. Calhoun,et al.  Selective changes of resting-state networks in individuals at risk for Alzheimer's disease , 2007, Proceedings of the National Academy of Sciences.

[185]  Clara A. Scholl,et al.  Synchronized delta oscillations correlate with the resting-state functional MRI signal , 2007, Proceedings of the National Academy of Sciences.

[186]  Jeff H. Duyn,et al.  Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal , 2007, NeuroImage.

[187]  M. Corbetta,et al.  Electrophysiological signatures of resting state networks in the human brain , 2007, Proceedings of the National Academy of Sciences.

[188]  M. Boly,et al.  Baseline brain activity fluctuations predict somatosensory perception in humans , 2007, Proceedings of the National Academy of Sciences.

[189]  Olaf Sporns,et al.  Network structure of cerebral cortex shapes functional connectivity on multiple time scales , 2007, Proceedings of the National Academy of Sciences.

[190]  Brian N. Pasley,et al.  Analysis of oxygen metabolism implies a neural origin for the negative BOLD response in human visual cortex , 2007, NeuroImage.

[191]  Andreas A Ioannides,et al.  Dynamic functional connectivity , 2007, Current Opinion in Neurobiology.

[192]  V. Calhoun,et al.  Aberrant "default mode" functional connectivity in schizophrenia. , 2007, The American journal of psychiatry.

[193]  Alan C. Evans,et al.  Small-world anatomical networks in the human brain revealed by cortical thickness from MRI. , 2007, Cerebral cortex.

[194]  Kristina M. Visscher,et al.  The neural bases of momentary lapses in attention , 2006, Nature Neuroscience.

[195]  Natasha M. Maurits,et al.  Correlating the alpha rhythm to BOLD using simultaneous EEG/fMRI: Inter-subject variability , 2006, NeuroImage.

[196]  S. Rombouts,et al.  Altered resting state networks in mild cognitive impairment and mild Alzheimer's disease: An fMRI study , 2005, Human brain mapping.

[197]  J. Voipio,et al.  Full-band EEG (FbEEG): an emerging standard in electroencephalography , 2005, Clinical Neurophysiology.

[198]  M. Greicius,et al.  Default-Mode Activity during a Passive Sensory Task: Uncoupled from Deactivation but Impacting Activation , 2004, Journal of Cognitive Neuroscience.

[199]  M. Greicius,et al.  Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI , 2004, Proc. Natl. Acad. Sci. USA.

[200]  John M. Beggs,et al.  Neuronal Avalanches in Neocortical Circuits , 2003, The Journal of Neuroscience.

[201]  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.

[202]  S Vanhatalo,et al.  Scalp-recorded slow EEG responses generated in response to hemodynamic changes in the human brain , 2003, Clinical Neurophysiology.

[203]  J. Voipio,et al.  Millivolt-scale DC shifts in the human scalp EEG: evidence for a nonneuronal generator. , 2003, Journal of neurophysiology.

[204]  F. Hyder,et al.  Total neuroenergetics support localized brain activity: Implications for the interpretation of fMRI , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[205]  F. Hyder,et al.  Cerebral energetics and spiking frequency: The neurophysiological basis of fMRI , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[206]  V. Haughton,et al.  Mapping functionally related regions of brain with functional connectivity MR imaging. , 2000, AJNR. American journal of neuroradiology.

[207]  G. Crelier,et al.  Investigation of BOLD signal dependence on cerebral blood flow and oxygen consumption: The deoxyhemoglobin dilution model , 1999, Magnetic resonance in medicine.

[208]  B. Biswal,et al.  Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.

[209]  V. Calhoun,et al.  EEG Signatures of Dynamic Functional Network Connectivity States , 2017, Brain Topography.

[210]  J. Pillai Functional Connectivity. , 2017, Neuroimaging clinics of North America.

[211]  B. Biswal,et al.  Dynamic brain functional connectivity modulated by resting-state networks , 2013, Brain Structure and Function.