Tracking Whole-Brain Connectivity Dynamics in the Resting State

Cerebral Cortex - Tập 24 Số 3 - Trang 663-676 - 2014
Elena A. Allen1,2,3, Eswar Damaraju3, Sergey M. Plis3, Erik B. Erhardt4,3, Tom Eichele1,5,2,3, Vince D. Calhoun6,3
1Department of Biological and Medical Psychology, University of Bergen 5009, Norway
2K.G. Jebsen Center for Research on Neuropsychiatric Disorders and
3The Mind Research Network, Albuquerque, New Mexico 87106, USA
4Department of Mathematics and Statistics and
5Department of Neurology, Section for Neurophysiology, Haukeland University Hospital, Bergen 5021, Norway
6Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico 87131, USA and

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Abou-Elseoud, 2010, The effect of model order selection in group PICA, Hum Brain Mapp, 31, 1207, 10.1002/hbm.20929

Aggarwal, 2001, On the surprising behavior of distance metrics in high dimensional space, Database Theory ICDT, 420

Allen, 2011, A baseline for the multivariate comparison of resting-state networks, Front Syst Neurosci, 5, 10.3389/fnsys.2011.00002

Allen, 2012, Capturing inter-subject variability with group independent component analysis of fMRI data: a simulation study, Neuroimage, 59, 4141, 10.1016/j.neuroimage.2011.10.010

Arieli, 1996, Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses, Science, 273, 1868, 10.1126/science.273.5283.1868

Baker, 2012, Investigating the temporal dynamics of resting state connectivity with MEG, Organization for Human Brain Mapping

Bassett, 2011, Dynamic reconfiguration of human brain networks during learning, Proc Natl Acad Sci, 108, 7641, 10.1073/pnas.1018985108

Bell, 1995, An information-maximization approach to blind separation and blind deconvolution, Neural Comput, 7, 1129, 10.1162/neco.1995.7.6.1129

Birn, 2008, The effect of respiration variations on independent component analysis results of resting state functional connectivity, Hum Brain Mapp, 29, 740, 10.1002/hbm.20577

Biswal, 1995, Functional connectivity in the motor cortex of resting human brain using echo-planar MRI, Magn Reson Med, 34, 537, 10.1002/mrm.1910340409

Boly, 2007, Baseline brain activity fluctuations predict somatosensory perception in humans, Proc Natl Acad Sci, 104, 12187, 10.1073/pnas.0611404104

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, 108, 16783, 10.1073/pnas.1112685108

Buckner, 2008, The brain's default network: anatomy, function, and relevance to disease, Ann N Y Acad Sci, 1124, 1, 10.1196/annals.1440.011

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

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, 2012, Decomposing the brain: components and modes, networks and nodes, Trends Cogn Sci, 16, 255, 10.1016/j.tics.2012.03.008

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

Chang, 2010, Time-frequency dynamics of resting-state brain connectivity measured with fMRI, Neuroimage, 50, 81, 10.1016/j.neuroimage.2009.12.011

Chang, 2012, Dynamics of resting-state functional connectivity associated with heart rate variability, Organization for Human Brain Mapping

Cole, 2010, Identifying the brain's most globally connected regions, Neuroimage, 49, 3132, 10.1016/j.neuroimage.2009.11.001

Corbetta, 2002, Control of goal-directed and stimulus-driven attention in the brain, Nat Rev Neurosci, 3, 215, 10.1038/nrn755

Cordes, 2001, Frequencies contributing to functional connectivity in the cerebral cortex in “resting-state” data, Am J Neuroradiol, 22, 1326

Cordes, 2000, Mapping functionally related regions of brain with functional connectivity MR imaging, Am J Neuroradiol, 21, 1636

Coste, 2011, Ongoing brain activity fluctuations directly account for intertrial and indirectly for intersubject variability in Stroop task performance, Cereb Cortex, 21, 2612, 10.1093/cercor/bhr050

Craddock, 2012, A whole brain fMRI atlas generated via spatially constrained spectral clustering, Hum Brain Mapp, 33, 1914, 10.1002/hbm.21333

Cribben, 2012, Dynamic connectivity regression: determining state-related changes in brain connectivity, Neuroimage, 61, 907, 10.1016/j.neuroimage.2012.03.070

Debener, 2006, Single-trial EEG-fMRI reveals the dynamics of cognitive function, Trends Cogn Sci, 10, 558, 10.1016/j.tics.2006.09.010

Deco, 2011, Emerging concepts for the dynamical organization of resting-state activity in the brain, Nat Rev Neurosci, 12, 43, 10.1038/nrn2961

Delamillieure, 2010, The resting state questionnaire: an introspective questionnaire for evaluation of inner experience during the conscious resting state, Brain Res Bull, 81, 565, 10.1016/j.brainresbull.2009.11.014

de Pasquale, 2011, Temporal dynamics of spontaneous MEG activity in brain networks, Proc Natl Acad Sci, 107, 6040, 10.1073/pnas.0913863107

Doucet, 2012, Patterns of hemodynamic low-frequency oscillations in the brain are modulated by the nature of free thought during rest, Neuroimage, 59, 3194, 10.1016/j.neuroimage.2011.11.059

Eichele, 2008, Prediction of human errors by maladaptive changes in event-related brain networks, Proc Natl Acad Sci, 105, 6173, 10.1073/pnas.0708965105

Erhardt, 2012, SimTB, a simulation toolbox for fMRI data under a model of spatiotemporal separability, Neuroimage, 59, 4160, 10.1016/j.neuroimage.2011.11.088

Erhardt, 2011, Comparison of multi-subject ICA methods for analysis of fMRI data, Hum Brain Mapp, 32, 2075, 10.1002/hbm.21170

Filippini, 2009, Distinct patterns of brain activity in young carriers of the APOE-ɛ4 allele, Proc Natl Acad Sci, 106, 7209, 10.1073/pnas.0811879106

Fornito, 2012, Connectomic intermediate phenotypes for psychiatric disorders, Front Psychiatry, 3, 1, 10.3389/fpsyt.2012.00032

Fox, 2006, Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems, Proc Natl Acad Sci, 103, 10046, 10.1073/pnas.0604187103

Fox, 2005, The human brain is intrinsically organized into dynamic, anticorrelated functional networks, Proc Natl Acad Sci, 102, 9673, 10.1073/pnas.0504136102

Fox, 2006, Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses, Nat Neurosci, 9, 23, 10.1038/nn1616

Friedman, 2008, Sparse inverse covariance estimation with the graphical lasso, Biostatistics, 9, 432, 10.1093/biostatistics/kxm045

Gonzalez-Castillo, 2012, Detection of task transitions on 45 min long continuous multi-task runs using whole brain connectivity, Organization for Human Brain Mapping

Hagmann, 2008, Mapping the structural core of human cerebral cortex, PLoS Biol, 6, e159, 10.1371/journal.pbio.0060159

Hamilton, 2011, Default-mode and task-positive network activity in major depressive disorder: implications for adaptive and maladaptive rumination, Biol Psychiatry, 70, 327, 10.1016/j.biopsych.2011.02.003

Harrison, 2008, Modulation of brain resting-state networks by sad mood induction, PLoS One, 3, e1794, 10.1371/journal.pone.0001794

Honey, 2009, Predicting human resting-state functional connectivity from structural connectivity, Proc Natl Acad Sci, 106, 2035, 10.1073/pnas.0811168106

Hutchison, 2012, Resting-state networks show dynamic functional connectivity in awake humans and anesthetized macaques, Hum Brain Mapp

Jafri, 2008, A method for functional network connectivity among spatially independent resting-state components in schizophrenia, Neuroimage, 39, 1666, 10.1016/j.neuroimage.2007.11.001

Jones, 2012, Non-stationarity in the “resting brain's” modular architecture, PLoS One, 7, e39731, 10.1371/journal.pone.0039731

Kelly, 2008, Competition between functional brain networks mediates behavioral variability, Neuroimage, 39, 527, 10.1016/j.neuroimage.2007.08.008

Kinnison, 2012, Network analysis reveals increased integration during emotional and motivational processing, J Neurosci, 32, 8361, 10.1523/JNEUROSCI.0821-12.2012

Kiviniemi, 2009, Functional segmentation of the brain cortex using high model order group PICA, Hum Brain Mapp, 30, 3865, 10.1002/hbm.20813

Kiviniemi, 2011, A sliding time-window ICA reveals spatial variability of the default mode network in time, Brain Connectivity, 1, 339, 10.1089/brain.2011.0036

Larson-Prior, 2011, Modulation of the brain's functional network architecture in the transition from wake to sleep, Slow brain oscillations of sleep, resting state and vigilance, 277, 10.1016/B978-0-444-53839-0.00018-1

Lehmann, 1990, Brain electric microstates and cognition: the atoms of thought, Machinery of the mind, 209, 10.1007/978-1-4757-1083-0_10

Lehmann, 1998, Brain electric microstates and momentary conscious mind states as building blocks of spontaneous thinking: I. Visual imagery and abstract thoughts, Int J Psychophysiol, 29, 1, 10.1016/S0167-8760(97)00098-6

Lloyd, 1982, Least squares quantization in PCM, IEEE Trans Inform Theory, 28, 129, 10.1109/TIT.1982.1056489

Makeig, 2004, Mining event-related brain dynamics, Trends Cogn Sci, 8, 204, 10.1016/j.tics.2004.03.008

Margulies, 2009, Precuneus shares intrinsic functional architecture in humans and monkeys, Proc Natl Acad Sci, 106, 20069, 10.1073/pnas.0905314106

McAvoy, 2008, Resting states affect spontaneous BOLD oscillations in sensory and paralimbic cortex, J Neurophysiol, 100, 922, 10.1152/jn.90426.2008

Meyer, 2000, Matrix analysis and applied linear algebra, 10.1137/1.9780898719512

Moeller, 2010, Multiband multislice GE-EPI at 7 tesla, 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

Onton, 2006, Imaging human EEG dynamics using independent component analysis, Neurosci Biobehav Rev, 30, 808, 10.1016/j.neubiorev.2006.06.007

Pascual-Marqui, 1995, Segmentation of brain electrical activity into microstates: model estimation and validation, IEEE Trans Biomed Eng, 42, 658, 10.1109/10.391164

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

Prichard, 1994, Generating surrogate data for time series with several simultaneously measured variables, Phys Rev Lett, 73, 951, 10.1103/PhysRevLett.73.951

Raichle, 2001, A default mode of brain function, Proc Natl Acad Sci, 98, 676, 10.1073/pnas.98.2.676

Richiardi, 2011, Decoding brain states from fMRI connectivity graphs, Neuroimage, 56, 616, 10.1016/j.neuroimage.2010.05.081

Roweis, 1998, EM algorithms for PCA and SPCA, Neural Inform Process Syst, 10, 626

Rubinov, 2011, Weight-conserving characterization of complex functional brain networks, Neuroimage, 56, 2068, 10.1016/j.neuroimage.2011.03.069

Sadaghiani, 2009, Distributed and antagonistic contributions of ongoing activity fluctuations to auditory stimulus detection, J Neurosci, 29, 13410, 10.1523/JNEUROSCI.2592-09.2009

Sakog˘lu, 2010, A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia, MAGMA, 23, 351, 10.1007/s10334-010-0197-8

Sämann, 2011, Development of the brain's default mode network from wakefulness to slow wave sleep, Cereb Cortex, 21, 2082, 10.1093/cercor/bhq295

Seeley, 2007, Dissociable intrinsic connectivity networks for salience processing and executive control, J Neurosci, 27, 2349, 10.1523/JNEUROSCI.5587-06.2007

Shirer, 2012, Decoding subject-driven cognitive states with whole-brain connectivity patterns, Cereb Cortex, 22, 158, 10.1093/cercor/bhr099

Smith, 2009, Correspondence of the brain's functional architecture during activation and rest, Proc Natl Acad Sci, 106, 13040, 10.1073/pnas.0905267106

Smith, 2012, Temporally-independent functional modes of spontaneous brain activity, Proc Natl Acad Sci, 109, 3131, 10.1073/pnas.1121329109

Smith, 2011, Network modelling methods for FMRI, Neuroimage, 54, 875, 10.1016/j.neuroimage.2010.08.063

Spoormaker, 2010, Development of a large-scale functional brain network during human non-rapid eye movement sleep, J Neurosci, 30, 11379, 10.1523/JNEUROSCI.2015-10.2010

Starck, 2012, Temporally varying connectivity between ICA default-mode sub-networks—ASD vs. controls, Organization for Human Brain Mapping

Starck, 2010, Correction of low-frequency physiological noise from the resting state BOLD fMRI—effect on ICA default mode analysis at 1.5 T, J Neurosci Methods, 186, 179, 10.1016/j.jneumeth.2009.11.015

Thompson, 2012, Short-time windows of correlation between large-scale functional brain networks predict vigilance intraindividually and interindividually, Hum Brain Mapp

Van De Ville, 2010, EEG microstate sequences in healthy humans at rest reveal scale-free dynamics, Proc Natl Acad Sci, 107, 18179, 10.1073/pnas.1007841107

Varoquaux, 2010, Brain covariance selection: better individual functional connectivity models using population prior, Advances in neural information processing systems

Vincent, 2008, Evidence for a frontoparietal control system revealed by intrinsic functional connectivity, J Neurophysiol, 100, 3328, 10.1152/jn.90355.2008

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, 2009, Spontaneous brain activity in the default mode network is sensitive to different resting-state conditions with limited cognitive load, PLoS One, 4, e5743, 10.1371/journal.pone.0005743

Yuan, 2012, Spatiotemporal dynamics of the brain at rest-Exploring EEG microstates as electrophysiological signatures of BOLD resting state networks, Neuroimage, 60, 2062, 10.1016/j.neuroimage.2012.02.031

Zahneisen, 2011, Three-dimensional MR-encephalography: fast volumetric brain imaging using rosette trajectories, Magn Reson Med, 65, 1260, 10.1002/mrm.22711

Zuo, 2012, Network centrality in the human functional connectome, Cereb Cortex, 22, 1862, 10.1093/cercor/bhr269