Dynamic functional connectivity: Promise, issues, and interpretations

Abou-Elseoud, 2010, The effect of model order selection in group PICA, Hum. Brain Mapp., 31, 1207 Adelstein, 2011, Personality is reflected in the brain's intrinsic functional architecture, PLoS One, 6, e27633, 10.1371/journal.pone.0027633 Akam, 2010, Oscillations and filtering networks support flexible routing of information, Neuron, 67, 308, 10.1016/j.neuron.2010.06.019 Albert, 2009, The resting human brain and motor learning, Curr. Biol., 19, 1023, 10.1016/j.cub.2009.04.028 Allen, 2010, Deconstructing the “resting” state: exploring the temporal dynamics of frontal alpha asymmetry as an endophenotype for depression, Front. Hum. Neurosci., 4, 232, 10.3389/fnhum.2010.00232 Allen, 2012, Data visualization in the neurosciences: overcoming the curse of dimensionality, Neuron, 74, 603, 10.1016/j.neuron.2012.05.001 Allen, 2013, Tracking whole-brain connectivity dynamics in the resting state, Cereb. Cortex Allen, 2013, EEG signatures of functional connectivity states Amzica, 1995, Disconnection of intracortical synaptic linkages disrupts synchronization of a slow oscillation, J. Neurosci., 15, 4658, 10.1523/JNEUROSCI.15-06-04658.1995 Arieli, 1996, Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses, Science, 273, 1868, 10.1126/science.273.5283.1868 Barnes, 2009, Endogenous human brain dynamics recover slowly following cognitive effort, PLoS One, 4, e6626, 10.1371/journal.pone.0006626 Bassett, 2011, Dynamic reconfiguration of human brain networks during learning, Proc. Natl. Acad. Sci. U. S. A., 108, 7641, 10.1073/pnas.1018985108 Beall, 2007, Isolating physiologic noise sources with independently determined spatial measures, Neuroimage, 37, 1286, 10.1016/j.neuroimage.2007.07.004 Beckmann, 2004, Probabilistic independent component analysis for functional magnetic resonance imaging, IEEE Trans. Med. Imaging, 23, 137, 10.1109/TMI.2003.822821 Beckmann, 2005, Investigations into resting-state connectivity using independent component analysis, Philos. Trans. R. Soc. Lond. B Biol. Sci., 360, 1001, 10.1098/rstb.2005.1634 Behzadi, 2007, A component based noise correction method (CompCor) for BOLD and perfusion based fMRI, Neuroimage, 37, 90, 10.1016/j.neuroimage.2007.04.042 Benchenane, 2010, Coherent theta oscillations and reorganization of spike timing in the hippocampal–prefrontal network upon learning, Neuron, 66, 921, 10.1016/j.neuron.2010.05.013 Bianciardi, 2009, Modulation of spontaneous fMRI activity in human visual cortex by behavioral state, Neuroimage, 45, 160, 10.1016/j.neuroimage.2008.10.034 Birn, 2008, The respiration response function: the temporal dynamics of fMRI signal fluctuations related to changes in respiration, Neuroimage, 40, 644, 10.1016/j.neuroimage.2007.11.059 Biswal, 1995, Functional connectivity in the motor cortex of resting human brain using echo-planar MRI, Magn. Reson. Imaging, 34, 537 Boly, 2007, Baseline brain activity fluctuations predict somatosensory perception in humans, Proc. Natl. Acad. Sci. U. S. A., 104, 12187, 10.1073/pnas.0611404104 Bosman, 2012, Attentional stimulus selection through selective synchronization between monkey visual areas, Neuron, 75, 875, 10.1016/j.neuron.2012.06.037 Böttger, 2013, Three-dimensional mean-shift edge bundling for the visualization of functional connectivity in the brain, IEEE Trans. Vis. Comput. Graph. Boubela, 2013, Beyond noise: using temporal ICA to extract meaningful information from high-frequency fMRI signal fluctuations during rest, Front. Hum. Neurosci., 7, 168, 10.3389/fnhum.2013.00168 Boveroux, 2010, Breakdown of within- and between-network resting state functional magnetic resonance imaging connectivity during propofol-induced loss of consciousness, Anesthesiology, 113, 1038, 10.1097/ALN.0b013e3181f697f5 Bressler, 2010, Large-scale brain networks in cognition: emerging methods and principles, Trends Cogn. Sci., 14, 277, 10.1016/j.tics.2010.04.004 Brinker, 1999, Simultaneous recording of evoked potentials and T2*-weighted MR images during somatosensory stimulation of rat, Magn. Reson. Med., 41, 469, 10.1002/(SICI)1522-2594(199903)41:3<469::AID-MRM7>3.0.CO;2-9 Britz, 2010, BOLD correlates of EEG topography reveal rapid resting-state network dynamics, Neuroimage, 52, 1162, 10.1016/j.neuroimage.2010.02.052 Brookes, 2011, Investigating the electrophysiological basis of resting state networks using magnetoencephalography, Proc. Natl. Acad. Sci. U. S. A., 108, 16783, 10.1073/pnas.1112685108 Brookes, 2011, Measuring functional connectivity using MEG. Methodology and comparison with fcMRI, Neuroimage, 56, 1082, 10.1016/j.neuroimage.2011.02.054 Brovelli, 2004, Beta oscillations in a large-scale sensorimotor cortical network: directional influences revealed by Granger causality, Proc. Natl. Acad. Sci. U. S. A., 101, 9849, 10.1073/pnas.0308538101 Buckner, 2009, Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease, J. Neurosci., 29, 1860, 10.1523/JNEUROSCI.5062-08.2009 Bullmore, 2009, Complex brain networks: graph theoretical analysis of structural and functional systems, Nat. Rev. Neurosci., 10, 186, 10.1038/nrn2575 Buzsaki, 2006 Buzsaki, 2012, Brain rhythms and neural syntax: implications for efficient coding of cognitive content and neuropsychiatric disease, Dialogues Clin. Neurosci., 14, 345, 10.31887/DCNS.2012.14.4/gbuzsaki Calhoun, 2012, Multi-subject independent component analysis of fMRI: a decade of intrinsic networks, default mode, and neurodiagnostic discovery, IEEE Rev. Biomed. Eng., 5, 60, 10.1109/RBME.2012.2211076 Calhoun, 2001, A method for making group inferences from functional MRI data using independent component analysis, Hum. Brain Mapp., 14, 140, 10.1002/hbm.1048 Calhoun, 2008, Modulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasks, Hum. Brain Mapp., 29, 828, 10.1002/hbm.20581 Calhoun, 2009, Functional brain networks in schizophrenia: a review, Front. Hum. Neurosci., 3, 1, 10.3389/neuro.09.017.2009 Canolty, 2012, Task-dependent changes in cross-level coupling between single neurons and oscillatory activity in multiscale networks, PLoS Comput. Biol., 8, e1002809, 10.1371/journal.pcbi.1002809 Chang, 2009, Relationship between respiration, end-tidal CO2, and BOLD signals in resting-state fMRI, Neuroimage, 47, 1381, 10.1016/j.neuroimage.2009.04.048 Chang, 2010, Time–frequency dynamics of resting-state brain connectivity measured with fMRI, Neuroimage, 50, 81, 10.1016/j.neuroimage.2009.12.011 Chang, 2009, Influence of heart rate on the BOLD signal: the cardiac response function, Neuroimage, 44, 857, 10.1016/j.neuroimage.2008.09.029 Chang, 2011, Behavioral correlates of temporal variations in brain network connectivity Chang, 2013, Association between heart rate variability and fluctuations in resting-state functional connectivity, Neuroimage, 68, 93, 10.1016/j.neuroimage.2012.11.038 Chang, 2013, EEG correlates of time-varying BOLD functional connectivity, Neuroimage, 72, 227, 10.1016/j.neuroimage.2013.01.049 Cole, 2010, Advances and pitfalls in the analysis and interpretation of resting-state fMRI data, Front. Syst. Neurosci., 4, 8 Cribben, 2012, Dynamic connectivity regression: determining state-related changes in brain connectivity, Neuroimage, 61, 907, 10.1016/j.neuroimage.2012.03.070 Critchley, 2003, Human cingulate cortex and autonomic control: converging neuroimaging and clinical evidence, Brain, 126, 2139, 10.1093/brain/awg216 Dagli, 1999, Localization of cardiac-induced signal change in fMRI, Neuroimage, 9, 407, 10.1006/nimg.1998.0424 Dalton, 2005, Neural–cardiac coupling in threat-evoked anxiety, J. Cogn. Neurosci., 17, 969, 10.1162/0898929054021094 Damaraju, 2012 Damoiseaux, 2009, Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity, Brain Struct. Funct., 213, 525, 10.1007/s00429-009-0208-6 Damoiseaux, 2006, Consistent resting-state networks across healthy subjects, Proc. Natl. Acad. Sci. U. S. A., 103, 13848, 10.1073/pnas.0601417103 de Pasquale, 2010, Temporal dynamics of spontaneous MEG activity in brain networks, Proc. Natl. Acad. Sci. U. S. A., 107, 6040, 10.1073/pnas.0913863107 de Pasquale, 2012, A cortical core for dynamic integration of functional networks in the resting human brain, Neuron, 74, 753, 10.1016/j.neuron.2012.03.031 Deco, 2011, The dynamical balance of the brain at rest, Neuroscientist, 17, 107, 10.1177/1073858409354384 Deco, 2009, Key role of coupling, delay, and noise in resting brain fluctuations, Proc. Natl. Acad. Sci. U. S. A., 106, 10302, 10.1073/pnas.0901831106 Deco, 2011, Emerging concepts for the dynamical organization of resting-state activity in the brain, Nat. Rev. Neurosci., 12, 43, 10.1038/nrn2961 Deco, 2012, The dynamical and structural basis of brain activity DeCoteau, 2007, Learning-related coordination of striatal and hippocampal theta rhythms during acquisition of a procedural maze task, Proc. Natl. Acad. Sci. U. S. A., 104, 5644, 10.1073/pnas.0700818104 Dimitriadis, 2012, An EEG study of brain connectivity dynamics at the resting state, Nonlinear Dyn. Life Sci., 16, 5 Duyn, 2012, EEG–fMRI methods for the study of brain networks during sleep, Front. Neurol., 3, 100, 10.3389/fneur.2012.00100 Eckman, 2012, Finding spatio-temporal patterns in the dynamics of complex brain networks Efron, 1986, Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy, Stat. Sci., 1, 54, 10.1214/ss/1177013815 Eichele, 2008, Prediction of human errors by maladaptive changes in event-related brain networks, Proc. Natl. Acad. Sci., 105, 6173, 10.1073/pnas.0708965105 Engel, 2001, Dynamic predictions: oscillations and synchrony in top–down processing, Nat. Rev. Neurosci., 2, 704, 10.1038/35094565 Esposito, 2006, Independent component model of the default-mode brain function: assessing the impact of active thinking, Brain Res. Bull., 70, 263, 10.1016/j.brainresbull.2006.06.012 Fan, 2012, Spontaneous brain activity relates to autonomic arousal, J. Neurosci., 32, 11176, 10.1523/JNEUROSCI.1172-12.2012 Feinberg, 2010, Multiplexed echo planar imaging for sub-second whole brain FMRI and fast diffusion imaging, PLoS One, 20, e15710, 10.1371/journal.pone.0015710 Fiser, 2004, Small modulation of ongoing cortical dynamics by sensory input during natural vision, Nature, 431, 573, 10.1038/nature02907 Fornito, 2012, Competitive and cooperative dynamics of large-scale brain functional networks supporting recollection, Proc. Natl. Acad. Sci. U. S. A., 109, 12788, 10.1073/pnas.1204185109 Fox, 2007, Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging, Nat. Rev. Neurosci., 8, 700, 10.1038/nrn2201 Fox, 2006, Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems, Proc. Natl. Acad. Sci. U. S. A., 103, 10046, 10.1073/pnas.0604187103 Fox, 2007, Intrinsic fluctuations within cortical systems account for intertrial variability in human behavior, Neuron, 56, 171, 10.1016/j.neuron.2007.08.023 Fransson, 2006, How default is the default mode of brain function? Further evidence from intrinsic BOLD signal fluctuations, Neuropsychologia, 44, 2836, 10.1016/j.neuropsychologia.2006.06.017 Friston, 2011, Functional and effective connectivity: a review, Brain Connect., 1, 13, 10.1089/brain.2011.0008 Friston, 2007, Functional connectivity: eigenimages and multivariate analyses, 492 Friston, 1997, Psychophysiological and modulatory interactions in neuroimaging, Neuroimage, 6, 218, 10.1006/nimg.1997.0291 Fujisawa, 2011, A 4Hz oscillation adaptively synchronizes prefrontal, VTA, and hippocampal activities, Neuron, 72, 153, 10.1016/j.neuron.2011.08.018 Fukunaga, 2006, Large-amplitude, spatially correlated fluctuations in BOLD fMRI signals during extended rest and early sleep stages, Magn. Reson. Imaging, 24, 979, 10.1016/j.mri.2006.04.018 Fukushima, 2012, Spontaneous high-gamma band activity reflects functional organization of auditory cortex in the awake macaque, Neuron, 74, 899, 10.1016/j.neuron.2012.04.014 Ghosh, 2008, Noise during rest enables the exploration of the brain's dynamic repertoire, PLoS Comput. Biol., 4, e1000196, 10.1371/journal.pcbi.1000196 Glover, 2000, Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR, Magn. Reson. Med., 44, 162, 10.1002/1522-2594(200007)44:1<162::AID-MRM23>3.0.CO;2-E Gonçalves, 2006, Correlating the alpha rhythm to BOLD using simultaneous EEG/fMRI: inter-subject variability, Neuroimage, 30, 203, 10.1016/j.neuroimage.2005.09.062 Gonzalez-Castillo, 2012, Detection of task transitions on 45mins long continuous multi-task runs using whole brain connectivity Gregoriou, 2009, High-frequency, long-range coupling between prefrontal and visual cortex during attention, Science, 324, 1207, 10.1126/science.1171402 Greicius, 2008, Resting-state functional connectivity in neuropsychiatric disorders, Curr. Opin. Neurol., 21, 424, 10.1097/WCO.0b013e328306f2c5 Greicius, 2004, Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI, Proc. Natl. Acad. Sci. U. S. A., 101, 4637, 10.1073/pnas.0308627101 Greicius, 2008, Persistent default-mode network connectivity during light sedation, Hum. Brain Mapp., 29, 839, 10.1002/hbm.20537 Grothe, 2012, Switching neuronal inputs by differential modulations of gamma-band phase-coherence, J. Neurosci., 32, 16172, 10.1523/JNEUROSCI.0890-12.2012 Hämäläinen, 1993, Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain, Rev. Mod. Phys., 65, 1, 10.1103/RevModPhys.65.413 Hamilton, 2011, Investigating neural primacy in major depressive disorder: multivariate Granger causality analysis of resting-state fMRI time-series data, Mol. Psychiatry, 16, 763, 10.1038/mp.2010.46 Handwerker, 2012, Periodic changes in fMRI connectivity, Neuroimage, 63, 1712, 10.1016/j.neuroimage.2012.06.078 Hauk, 2011, Comparison of noisenormalized minimum norm estimates for MEG analysis using multiple resolution metrics, Neuroimage, 54, 1966, 10.1016/j.neuroimage.2010.09.053 He, 2008, Electrophysiological correlates of the brain's intrinsic large-scale functional architecture, Proc. Natl. Acad. Sci. U. S. A., 105, 16039, 10.1073/pnas.0807010105 Heine, 2012, Resting state networks and consciousness: alterations of multiple resting state network connectivity in physiological, pharmacological, and pathological consciousness states, Front. Psychol., 3, 295, 10.3389/fpsyg.2012.00295 Hennig, 2007, MR–encephalography: fast multi-channel monitoring of brain physiology with magnetic resonance, Neuroimage, 34, 212, 10.1016/j.neuroimage.2006.08.036 Hesselmann, 2008, Spontaneous local variations in ongoing neural activity bias perceptual decisions, Proc. Natl. Acad. Sci. U. S. A., 105, 10984, 10.1073/pnas.0712043105 Hipp, 2012, Large-scale cortical correlation structure of spontaneous oscillatory activity, Nat. Neurosci., 15, 884, 10.1038/nn.3101 Hlinka, 2010, Slow EEG pattern predicts reduced intrinsic functional connectivity in the default mode network: an inter-subject analysis, Neuroimage, 53, 239, 10.1016/j.neuroimage.2010.06.002 Holtzheimer, 2011, Stuck in a rut: rethinking depression and its treatment, Trends Neurosci., 34, 1, 10.1016/j.tins.2010.10.004 Honey, 2007, Network structure of cerebral cortex shapes functional connectivity on multiple time scales, Proc. Natl. Acad. Sci. U. S. A., 104, 10240, 10.1073/pnas.0701519104 Honey, 2009, Predicting human resting-state functional connectivity from structural connectivity, Proc. Natl. Acad. Sci. U. S. A., 106, 2035, 10.1073/pnas.0811168106 Horn, 2010, Glutamatergic and resting-state functional connectivity correlates of severity in major depression — the role of pregenual anterior cingulate cortex and anterior insula, Front. Syst. Neurosci., 4, 33 Horovitz, 2008, Low frequency BOLD fluctuations during resting wakefulness and light sleep: a simultaneous EEG–fMRI study, Hum. Brain Mapp., 29, 671, 10.1002/hbm.20428 Horovitz, 2009, Decoupling of the brain's default mode network during deep sleep, Proc. Natl. Acad. Sci. U. S. A., 106, 11376, 10.1073/pnas.0901435106 Horwitz, 2003, The elusive concept of brain connectivity, Neuroimage, 19, 466, 10.1016/S1053-8119(03)00112-5 Hughes, 2011, Thalamic gap junctions control local neuronal synchrony and influence macroscopic oscillation amplitude during EEG alpha rhythms, Front. Psychol., 2, 193, 10.3389/fpsyg.2011.00193 Hutchison, 2012, Monkey in the middle: why non-human primates are needed to bridge the gap in resting-state investigations, Front. Neuroanat., 6, 29, 10.3389/fnana.2012.00029 Hutchison, 2013, Resting-state networks show dynamic functional connectivity in awake humans and anesthetized macaques, Hum. Brain Mapp., 10.1002/hbm.22058 Jensen, 2007, Cross-frequency coupling between neuronal oscillations, Trends Cogn. Sci., 11, 267, 10.1016/j.tics.2007.05.003 Jones, 2012, Non-stationarity in the “resting brain's” modular architecture, PLoS One, 7, e39731, 10.1371/journal.pone.0039731 Jönsson, 2003, The effects of pictures of emotional faces on tonic and phasic autonomic cardiac control in women and men, Biol. Psychol., 62, 157, 10.1016/S0301-0511(02)00114-X Kaneko, 2003, Chaotic itinerancy, Chaos, 13, 926, 10.1063/1.1607783 Keilholz, 2013, Dynamic properties of functional connectivity in the rodent, Brain Connect., 3, 31, 10.1089/brain.2012.0115 Keller, 2013, Neurophysiological investigation of spontaneous correlated and anticorrelated fluctuations of the BOLD signal, J. Neurosci., 33, 6333, 10.1523/JNEUROSCI.4837-12.2013 Kelly, 2008, Competition between functional brain networks mediates behavioral variability, Neuroimage, 39, 527, 10.1016/j.neuroimage.2007.08.008 Kenet, 2003, Spontaneously emerging cortical representations of visual attributes, Nature, 425, 954, 10.1038/nature02078 Kinnison, 2012, Network analysis reveals increased integration during emotional and motivational processing, J. Neurosci., 32, 8361, 10.1523/JNEUROSCI.0821-12.2012 Kiviniemi, 2005, Midazolam sedation increases fluctuation and synchrony of the resting brain BOLD signal, Magn. Reson. Imaging, 23, 531, 10.1016/j.mri.2005.02.009 Kiviniemi, 2011, A sliding time-window ICA reveals spatial variability of the default mode network in time, Brain Connect., 1, 339, 10.1089/brain.2011.0036 Knyazev, 2011, The default mode network and EEG α oscillations: an independent component analysis, Brain Res., 1402, 67, 10.1016/j.brainres.2011.05.052 Krook-Magnuson, 2012, New dimensions of interneuronal specialization unmasked by principal cell heterogeneity, Trends Neurosci., 35, 175, 10.1016/j.tins.2011.10.005 Kundu, 2012, Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI, Neuroimage, 60, 1759, 10.1016/j.neuroimage.2011.12.028 Laird, 2011, Behavioral interpretations of intrinsic connectivity networks, J. Cogn. Neurosci., 23, 4022, 10.1162/jocn_a_00077 Långsjö, 2012, Returning from oblivion: imaging the neural core of consciousness, J. Neurosci., 32, 4935, 10.1523/JNEUROSCI.4962-11.2012 Lansink, 2009, Hippocampus leads ventral striatum in replay of place-reward information, PLoS Biol., 7, e1000173, 10.1371/journal.pbio.1000173 Larkman, 2001, Use of multicoil arrays for separation of signal from multiple slices simultaneously excited, J. Magn. Reson. Imaging, 13, 313, 10.1002/1522-2586(200102)13:2<313::AID-JMRI1045>3.0.CO;2-W Laufs, 2008, Endogenous brain oscillations and related networks detected by surface EEG-combined fMRI, Hum. Brain Mapp., 29, 762, 10.1002/hbm.20600 Laufs, 2010, Multimodal analysis of resting state cortical activity: what does EEG add to our knowledge of resting state BOLD networks?, Neuroimage, 52, 1171, 10.1016/j.neuroimage.2010.05.034 Laufs, 2003, EEG-correlated fMRI of human alpha activity, Neuroimage, 19, 1463, 10.1016/S1053-8119(03)00286-6 Lee, 2013, Tracking dynamic resting-state networks at higher frequencies using MR–encephalography, Neuroimage, 65, 216, 10.1016/j.neuroimage.2012.10.015 Leonardi, 2013, Functional connectivity eigennetworks reveal different brain dynamics in multiple sclerosis patients Leopold, 2012, Ongoing physiological processes in the cerebral cortex, Neuroimage, 62, 2190, 10.1016/j.neuroimage.2011.10.059 Leopold, 2003, Very slow activity fluctuations in monkey visual cortex: implications for functional brain imaging, Cereb. Cortex, 13, 422, 10.1093/cercor/13.4.422 Lesting, 2011, Patterns of coupled theta activity in amygdala–hippocampal–prefrontal cortical circuits during fear extinction, PLoS One, 6, e21714, 10.1371/journal.pone.0021714 Lewis, 2009, Learning sculpts the spontaneous activity of the resting human brain, Proc. Natl. Acad. Sci. U. S. A., 106, 17558, 10.1073/pnas.0902455106 Liang, 2011, Uncovering intrinsic connectional architecture of functional networks in awake rat brain, J. Neurosci., 31, 3776, 10.1523/JNEUROSCI.4557-10.2011 Liebe, 2012, Theta coupling between V4 and prefrontal cortex predicts visual short-term memory performance, Nat. Neurosci., 15, 456, 10.1038/nn.3038 Lin, 2006, Dynamic magnetic resonance inverse imaging of human brain function, Magn. Reson. Med., 56, 787, 10.1002/mrm.20997 Lisman, 2013, The theta–gamma neural code, Neuron, 77, 1002, 10.1016/j.neuron.2013.03.007 Liu, 2013, Time-varying functional network information extracted from brief instances of spontaneous brain activity, Proc. Natl. Acad. Sci. U. S. A., 110, 4392, 10.1073/pnas.1216856110 Liu, 2009, Evidence that functional asymmetry of the human brain is controlled by multiple factors, Proc. Natl. Acad. Sci., 111, 746 Liu, 2010, Large-scale spontaneous fluctuations and correlations in brain electrical activity observed with magnetoencephalography, Neuroimage, 51, 102, 10.1016/j.neuroimage.2010.01.092 Liu, 2011, Neural origin of spontaneous hemodynamic fluctuations in rats under burst-suppression anesthesia condition, Cereb. Cortex, 21, 374, 10.1093/cercor/bhq105 Llinás, 1988, The intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function, Science, 242, 1654, 10.1126/science.3059497 Logothetis, 2001, Neurophysiological investigation of the basis of the fMRI signal, Nature, 412, 150, 10.1038/35084005 Lu, 2007, Synchronized delta oscillations correlate with the resting-state functional MRI signal, Proc. Natl. Acad. Sci. U. S. A., 104, 18265, 10.1073/pnas.0705791104 Magnuson, 2010, Functional connectivity in BOLD and CBV weighted resting state fMRI in the rat brain, J. Magn. Reson. Imaging, 32, 584, 10.1002/jmri.22295 Magri, 2012, The amplitude and timing of the BOLD signal reflects the relationship between local field potential power at different frequencies, J. Neurosci., 32, 1395, 10.1523/JNEUROSCI.3985-11.2012 Majeed, 2009, Spatiotemporal dynamics of low frequency fluctuations in BOLD fMRI of the rat, J. Magn. Reson. Imaging, 30, 384, 10.1002/jmri.21848 Majeed, 2011, Spatiotemporal dynamics of low frequency BOLD fluctuations in rats and humans, Neuroimage, 54, 1140, 10.1016/j.neuroimage.2010.08.030 Mantini, 2007, Electrophysiological signatures of resting state networks in the human brain, Proc. Natl. Acad. Sci. U. S. A., 104, 13170, 10.1073/pnas.0700668104 Mantini, 2011, Default mode of brain function in monkeys, J. Neurosci., 31, 12954, 10.1523/JNEUROSCI.2318-11.2011 Margulies, 2013, Visualizing the human connectome, Neuroimage, 80, 445, 10.1016/j.neuroimage.2013.04.111 Martuzzi, 2010, Functional connectivity and alterations in baseline brain state in humans, Neuroimage, 49, 823, 10.1016/j.neuroimage.2009.07.028 Marx, 2013, A novel approach for global noise reduction in resting-state fMRI: APPLECOR, Neuroimage, 64, 19, 10.1016/j.neuroimage.2012.09.040 McAvoy, 2012, Dissociated mean and functional connectivity BOLD signals in visual cortex during eyes closed and fixation, J. Neurophysiol., 108, 2363, 10.1152/jn.00900.2011 McKeown, 1998, Analysis of fMRI data by blind separation into independent spatial components, Hum. Brain Mapp., 6, 160, 10.1002/(SICI)1097-0193(1998)6:3<160::AID-HBM5>3.0.CO;2-1 Meindl, 2010, Test–retest reproducibility of the default-mode network in healthy individuals, Hum. Brain Mapp., 31, 237 Menon, 2011, Large-scale brain networks and psychopathology: a unifying triple network model, Trends Cogn. Sci., 15, 483, 10.1016/j.tics.2011.08.003 Merritt, 2013, The electrical basis of dynamic functional connectivity measured with sliding window correlation., Proc ISMRM Meunier, 2009, Hierarchical modularity in human brain functional networks, Front. Neuroinform., 3, 37, 10.3389/neuro.11.037.2009 Meunier, 2010, Modular and hierarchically modular organization of brain networks, Front. Neurosci., 4, 200, 10.3389/fnins.2010.00200 Miller, 2013, Frequency space analysis reveals marked differences in whole brain resting state spatiotemporal activation patterns between schizophrenia patients and healthy controls Moeller, 2010, Multiband multislice GE–EPI at 7Tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI, Magn. Reson. Med., 63, 1144, 10.1002/mrm.22361 Musso, 2010, Spontaneous brain activity and EEG microstates. A novel EEG/fMRI analysis approach to explore resting-state networks, Neuroimage, 52, 1149, 10.1016/j.neuroimage.2010.01.093 Niazy, 2011, Spectral characteristics of resting state networks, Prog. Brain Res., 193, 259, 10.1016/B978-0-444-53839-0.00017-X Nir, 2007, Coupling between neuronal firing rate, gamma LFP, and BOLD fMRI is related to interneuronal correlations, Curr. Biol., 17, 1275, 10.1016/j.cub.2007.06.066 Nir, 2008, Interhemispheric correlations of slow spontaneous neuronal fluctuations revealed in human sensory cortex, Nat. Neurosci., 11, 1100, 10.1038/nn.2177 Palva, 2010, Graph properties of synchronized cortical networks during visual working memory maintenance, Neuroimage, 49, 3257, 10.1016/j.neuroimage.2009.11.031 Pan, 2010, Simultaneous fMRI and electrophysiology in the rodent brain, J. Vis. Exp., 42, 1901 Pan, 2011, Broad-band LFPs correlate with spontaneous fluctuations in fMRI signals in the rat somatosensory cortex under isoflurane anesthesia, Brain Connect., 1, 119, 10.1089/brain.2011.0014 Pan, 2013, Infraslow LFP correlates to resting-state fMRI BOLD signals, Neuroimage, 26, 288, 10.1016/j.neuroimage.2013.02.035 Peltier, 2005, Functional connectivity changes with concentration of sevoflurane anesthesia, NeuroReport, 16, 285, 10.1097/00001756-200502280-00017 Peng, 2013, The effects of respiratory CO(2) fluctuations in the resting-state BOLD signal differ between eyes open and eyes closed, Magn. Reson. Imaging, 31, 336, 10.1016/j.mri.2012.06.013 Pesaran, 2008, Free choice activates a decision circuit between frontal and parietal cortex, Nature, 453, 406, 10.1038/nature06849 Phillips, 2013, A long-range fronto-parietal 5- to 10-Hz network predicts “top-down” controlled guidance in a task-switch paradigm, Cereb. Cortex Pizzella, 2001, SQUID systems for biomagnetic imaging, Supercond. Sci. Technol., 14, R79, 10.1088/0953-2048/14/7/201 Popa, 2010, Coherent amygdalocortical theta promotes fear memory consolidation during paradoxical sleep, Proc. Natl. Acad. Sci. U. S. A., 107, 6516, 10.1073/pnas.0913016107 Power, 2011, Functional network organization of the human brain, Neuron, 72, 665, 10.1016/j.neuron.2011.09.006 Power, 2012, Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion, Neuroimage, 59, 2142, 10.1016/j.neuroimage.2011.10.018 Rabinovich, 2011, Robust transient dynamics and brain functions, Front. Comput. Neurosci., 5, 24, 10.3389/fncom.2011.00024 2012 Rack-Gomer, 2012, Caffeine increases the temporal variability of resting-state BOLD connectivity in the motor cortex, Neuroimage, 59, 2994, 10.1016/j.neuroimage.2011.10.001 Raichle, 2010, Two views of brain function, Trends Cogn. Sci., 14, 180, 10.1016/j.tics.2010.01.008 Rashid, 2013, Comparison of resting state dynamics in healthy, schizophrenia and bipolar disease Raz, 2012, Portraying emotions at their unfolding: a multilayered approach for probing dynamics of neural networks, Neuroimage, 60, 1448, 10.1016/j.neuroimage.2011.12.084 Ringach, 2009, Spontaneous and driven cortical activity: implications for computation, Curr. Opin. Neurobiol., 19, 439, 10.1016/j.conb.2009.07.005 Robinson, 2008, Detecting shifts in correlation and variability with application to ENSO-monsoon rainfall relationships, Theor. Appl. Climatol., 94, 215, 10.1007/s00704-007-0351-z Rubinov, 2011, Weight-conserving characterization of complex functional brain networks, Neuroimage, 56, 2068, 10.1016/j.neuroimage.2011.03.069 Sadaghiani, 2010, The relation of ongoing brain activity, evoked neural responses, and cognition, Front. Syst. Neurosci., 4, 20 Sakoglu, 2010, A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia, MAGMA, 23, 351, 10.1007/s10334-010-0197-8 Salazar, 2012, Content-specific fronto-parietal synchronization during visual working memory, Science, 338, 1097, 10.1126/science.1224000 Salvador, 2005, Neurophysiological architecture of functional magnetic resonance images of human brain, Cereb. Cortex, 15, 1332, 10.1093/cercor/bhi016 Satterthwaite, 2012, Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth, Neuroimage, 60, 623, 10.1016/j.neuroimage.2011.12.063 Scheeringa, 2012, EEG alpha power modulation of FMRI resting-state connectivity, Brain Connect., 2, 254, 10.1089/brain.2012.0088 Schölvinck, 2010, Neural basis of global resting-state fMRI activity, Proc. Natl. Acad. Sci. U. S. A., 107, 10238, 10.1073/pnas.0913110107 Schölvinck, 2013, The contribution of electrophysiology to functional connectivity mapping, Neuroimage, 80, 297, 10.1016/j.neuroimage.2013.04.010 Schrouff, 2011, Brain functional integration decreases during propofol-induced loss of consciousness, Neuroimage, 57, 198, 10.1016/j.neuroimage.2011.04.020 Seeley, 2007, Dissociable intrinsic connectivity networks for salience processing and executive control, J. Neurosci., 27, 2349, 10.1523/JNEUROSCI.5587-06.2007 Shehzad, 2009, The resting brain: unconstrained yet reliable, Cereb. Cortex, 19, 2209, 10.1093/cercor/bhn256 Shen, 2013, Resting-state functional connectivity dynamics are influenced by network structure Shirer, 2012, Decoding subject-driven cognitive states with whole-brain connectivity patterns, Cereb. Cortex, 22, 158, 10.1093/cercor/bhr099 Shmuel, 2008, Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: implications for functional connectivity at rest, Hum. Brain Mapp., 29, 751, 10.1002/hbm.20580 Shmueli, 2007, Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal, Neuroimage, 38, 306, 10.1016/j.neuroimage.2007.07.037 Siegel, 2012, Spectral fingerprints of large-scale neuronal interactions, Nat. Rev. Neurosci., 13, 121, 10.1038/nrn3137 Sirota, 2008, Entrainment of neocortical neurons and gamma oscillations by the hippocampal theta rhythm, Neuron, 60, 683, 10.1016/j.neuron.2008.09.014 Smith, 2009, Correspondence of the brain's functional architecture during activation and rest, Proc. Natl. Acad. Sci. U. S. A., 106, 13040, 10.1073/pnas.0905267106 Smith, 2011, Network modelling methods for fMRI, Neuroimage, 54, 875, 10.1016/j.neuroimage.2010.08.063 Smith, 2012, Temporally-independent functional modes of spontaneous brain activity, Proc. Natl. Acad. Sci. U. S. A., 109, 3131, 10.1073/pnas.1121329109 Song, 2008, Brain spontaneous functional connectivity and intelligence, Neuroimage, 41, 1168, 10.1016/j.neuroimage.2008.02.036 Sorg, 2007, Selective changes of resting-state networks in individuals at risk for Alzheimer's disease, Proc. Natl. Acad. Sci. U. S. A., 104, 18760, 10.1073/pnas.0708803104 Sporns, 2011, The non-random brain: efficiency, economy, and complex dynamics, Front. Comput. Neurosci., 5, 5, 10.3389/fncom.2011.00005 Sun, 2007, Functional connectivity of cortical networks involved in bimanual motor sequence learning, Cereb. Cortex, 17, 1227, 10.1093/cercor/bhl033 Supekar, 2008, Network analysis of intrinsic functional brain connectivity in Alzheimer's disease, PLoS Comput. Biol., 4, e1000100, 10.1371/journal.pcbi.1000100 Tagliazucchi, 2012, Automatic sleep staging using fMRI functional connectivity data, Neuroimage, 63, 63, 10.1016/j.neuroimage.2012.06.036 Tagliazucchi, 2012, Dynamic BOLD functional connectivity in humans and its electrophysiological correlates, Front. Hum. Neurosci., 6, 339, 10.3389/fnhum.2012.00339 Tagliazucchi, 2012, Criticality in large-scale brain fMRI dynamics unveiled by a novel point process analysis, Front. Physiol., 3, 15, 10.3389/fphys.2012.00015 Tambini, 2010, Enhanced brain correlations during rest are related to memory for recent experiences, Neuron, 65, 280, 10.1016/j.neuron.2010.01.001 Tang, 2012, Neural correlates of establishing, maintaining, and switching brain states, Trends Cogn. Sci., 16, 330, 10.1016/j.tics.2012.05.001 Task Force, 1996, Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, Circulation, 93, 1043, 10.1161/01.CIR.93.5.1043 Thompson, 2013, Short time windows of correlation between large scale functional brain networks predict vigilance intra-individually and inter-individually, Hum. Brain Mapp., 10.1002/hbm.22140 Timofeev, 2012, Neuronal synchronization and thalamocortical rhythms in sleep, wake and epilepsy, 10.1093/med/9780199746545.003.0013 Torrence, 1998, A practical guide to wavelet analysis, Bull. Am. Meteorol. Soc., 79, 61, 10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2 Tsodyks, 1999, Linking spontaneous activity of single cortical neurons and the underlying functional architecture, Science, 286, 1943, 10.1126/science.286.5446.1943 van den Heuvel, 2009, Efficiency of functional brain networks and intellectual performance, J. Neurosci., 29, 7619, 10.1523/JNEUROSCI.1443-09.2009 Van Dijk, 2010, Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization, J. Neurophysiol., 103, 297, 10.1152/jn.00783.2009 Van Dijk, 2012, The influence of head motion on intrinsic functional connectivity MRI, Neuroimage, 59, 431, 10.1016/j.neuroimage.2011.07.044 Van Oort, 2012 Vanhatalo, 2004, Infraslow oscillations modulate excitability and interictal epileptic activity in the human cortex during sleep, Proc. Natl. Acad. Sci. U. S. A., 101, 5053, 10.1073/pnas.0305375101 Varela, 2001, The brainweb: phase synchronization and large-scale integration, Nat. Rev. Neurosci., 2, 229, 10.1038/35067550 Varoquaux, 2013, Learning and comparing functional connectomes across subjects, Neuroimage, 80, 405, 10.1016/j.neuroimage.2013.04.007 Vincent, 2007, Intrinsic functional architecture in the anaesthetized monkey brain, Nature, 447, 83, 10.1038/nature05758 Vogels, 2005, Neural network dynamics, Annu. Rev. Neurosci., 28, 357, 10.1146/annurev.neuro.28.061604.135637 2010 von Stein, 2000, Top-down processing mediated by interareal synchronization, Proc. Natl. Acad. Sci. U. S. A., 97, 14748, 10.1073/pnas.97.26.14748 Wallentin, 2011, Amygdala and heart rate variability responses from listening to emotionally intense parts of a story, Neuroimage, 58, 963, 10.1016/j.neuroimage.2011.06.077 Wei, 2011, The synchronization of spontaneous BOLD activity predicts extraversion and neuroticism, Brain Res., 1419, 68, 10.1016/j.brainres.2011.08.060 Wise, 2004, Resting fluctuations in arterial carbon dioxide induce significant low frequency variations in BOLD signal, Neuroimage, 21, 1652, 10.1016/j.neuroimage.2003.11.025 Womelsdorf, 2007, Modulation of neuronal interactions through neuronal synchronization, Science, 316, 1609, 10.1126/science.1139597 Wu, 2010, Reactivity of hemodynamic responses and functional connectivity to different states of alpha synchrony: a concurrent EEG–fMRI study, Neuroimage, 52, 1252, 10.1016/j.neuroimage.2010.05.053 Yan, 2013, A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics, Neuroimage, 76, 183, 10.1016/j.neuroimage.2013.03.004 Yeo, 2011, The organization of the human cerebral cortex estimated by intrinsic functional connectivity, J. Neurophysiol., 106, 1125, 10.1152/jn.00338.2011