The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Tracking Whole-Brain Connectivity Dynamics in the Resting State
Open accessAbstract
Spontaneous fluctuations are a hallmark of recordings of neural signals, emergent over time scales spanning milliseconds and tens of minutes. However, investigations of intrinsic brain organization based on resting-state functional magnetic resonance imaging have largely not taken into account the presence and potential of temporal variability, as most current approaches to examine functional connectivity (FC) implicitly assume that relationships are constant throughout the length of the recording. In this work, we describe an approach to assess whole-brain FC dynamics based on spatial independent component analysis, sliding time window correlation, and k-means clustering of windowed correlation matrices. The method is applied to resting-state data from a large sample (n = 405) of young adults. Our analysis of FC variability highlights particularly flexible connections between regions in lateral parietal and cingulate cortex, and argues against a labeling scheme where such regions are treated as separate and antagonistic entities. Additionally, clustering analysis reveals unanticipated FC states that in part diverge strongly from stationary connectivity patterns and challenge current descriptions of interactions between large-scale networks. Temporal trends in the occurrence of different FC states motivate theories regarding their functional roles and relationships with vigilance/arousal. Overall, we suggest that the study of time-varying aspects of FC can unveil flexibility in the functional coordination between different neural systems, and that the exploitation of these dynamics in further investigations may improve our understanding of behavioral shifts and adaptive processes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Mounting evidence suggests that the functional connectome exhibits temporal instability that allows it to flexibly switch between multiple different configurations within a scanning session (Allen et al., 2014; Chang and Glover, 2010; Kang et al., 2011; Shen et al., 2015).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Allen et al., 2014
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Least squares quantization in PCM
Lloyd, S. (1982) · IEEE Transactions on Information Theory · doi:10.1109/tit.1982.1056489 · Cited by 15,836
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426
Sparse inverse covariance estimation with the graphical lasso
Friedman, J., Hastie, T., & Tibshirani, R. (2008) · Biostatistics · doi:10.1093/biostatistics/kxm045 · Cited by 6,355
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150
Mapping the structural core of human cerebral cortex
Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., & Sporns, O. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060159 · Cited by 4,173
Matrix Analysis and Applied Linear Algebra
Meyer, C. (2000) · doi:10.1137/1.9780898719512 · Cited by 3,565
Matrix analysis and applied linear algebra
Meyer, C. D. (2001) · Choice Reviews Online · doi:10.5860/choice.38-5065 · Cited by 3,358
Predicting human resting-state functional connectivity from structural connectivity
Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., & Hagmann, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811168106 · Cited by 3,307
A method for making group inferences from functional MRI data using independent component analysis
Calhoun, V. D., Adali, T., Pearlson, G. D., & Pekar, J. J. (2001) · Human Brain Mapping · doi:10.1002/hbm.1048 · Cited by 2,994
Self-citationBuckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., Andrews-Hanna, J. R., Sperling, R. A., & Johnson, K. A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.5062-08.2009 · Cited by 2,862
On the Surprising Behavior of Distance Metrics in High Dimensional Space
Aggarwal, C. C., Hinneburg, A., & Keim, D. A. (2001) · Lecture notes in computer science · doi:10.1007/3-540-44503-x_27 · Cited by 2,179
Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems
Fox, M. D., Corbetta, M., Snyder, A. Z., Vincent, J. L., & Raichle, M. E. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604187103 · Cited by 2,101
Network modelling methods for FMRI
Smith, S. M., Miller, K. L., Salimi-Khorshidi, G., Webster, M., Beckmann, C. F., Nichols, T. E., Ramsey, J. D., & Woolrich, M. W. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.063 · Cited by 1,878
Evidence for a Frontoparietal Control System Revealed by Intrinsic Functional Connectivity
Vincent, J. L., Kahn, I., Snyder, A. Z., Raichle, M. E., & Buckner, R. L. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90355.2008 · Cited by 1,869
Advances in Neural Information Processing Systems 21
Griffiths, T. L., Lucas, C. G., Williams, J. J., & Kalish, M. L. (2009) · neural information processing systems · Cited by 1,854
Decoding subject-driven cognitive states with whole-brain connectivity patterns
Shirer, W. R., Ryali, S., Rykhlevskaia, E., Menon, V., & Greicius, M. D. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr099 · Cited by 1,843
Time–frequency dynamics of resting-state brain connectivity measured with fMRI
Chang, C., & Glover, G. H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.011 · Cited by 1,808
Emerging concepts for the dynamical organization of resting-state activity in the brain
Deco, G., Jirsa, V. K., & McIntosh, A. R. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn2961 · Cited by 1,798
Dynamic reconfiguration of human brain networks during learning
Bassett, D. S., Wymbs, N. F., Porter, M. A., Mucha, P. J., Carlson, J. M., & Grafton, S. T. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1018985108 · Cited by 1,705
Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses
Arieli, A., Sterkin, A., Grinvald, A., & Aertsen, A. (1996) · Science · doi:10.1126/science.273.5283.1868 · Cited by 1,660
A whole brain fMRI atlas generated via spatially constrained spectral clustering
Craddock, R. C., James, G. A., Holtzheimer, P. E., Hu, X. P., & Mayberg, H. S. (2012) · Human Brain Mapping · doi:10.1002/hbm.21333 · Cited by 1,636
Distinct patterns of brain activity in young carriers of the APOE -ε4 allele
Filippini, N., MacIntosh, B. J., Hough, M. G., Goodwin, G. M., Frisoni, G. B., Smith, S. M., Matthews, P. M., Beckmann, C. F., & Mackay, C. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811879106 · Cited by 1,613
Moeller, S., Yacoub, E., Olman, C. A., Auerbach, E., Strupp, J., Harel, N., & Uğurbil, K. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22361 · Cited by 1,586
Mining event-related brain dynamics
Makeig, S., Debener, S., Onton, J., & Arnaud Delorme, A. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.03.008 · Cited by 1,499
Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data.
Cordes, D., Haughton, V. M., Arfanakis, K., Carew, J. D., Turski, P. A., Moritz, C. H., Quigley, M., & Meyerand, M. E. (2001) · PubMed Central · Cited by 1,402
A Baseline for the Multivariate Comparison of Resting-State Networks
Allen, E. A., Erhardt, E. B., Damaraju, E., Gruner, W. E., Segall, J. M., Silva, R. F., Havlíček, M., Rachakonda, S., Fries, J. F., Kalyanam, R., et al. (2011) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00002 · Cited by 1,329
Self-citationCompetition between functional brain networks mediates behavioral variability
Kelly, A. M. C., Uddin, L. Q., Biswal, B. B., Castellanos, F. X., & Milham, M. P. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.08.008 · Cited by 1,287
Network Centrality in the Human Functional Connectome
Zuo, X., Ehmke, R. C., Mennes, M., Imperati, D., Castellanos, F. X., Sporns, O., & Milham, M. P. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr269 · Cited by 1,190
BOLD correlates of EEG topography reveal rapid resting-state network dynamics
Britz, J., Van De Ville, D., & Michel, C. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.052 · Cited by 1,070
Jafri, M. J., Pearlson, G. D., Stevens, M. C. G., & Calhoun, V. D. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.11.001 · Cited by 996
Self-citationSegmentation of brain electrical activity into microstates: model estimation and validation
Pascual-Marqui, R. D., Michel, C. M., & Lehmann, D. (1995) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.391164 · Cited by 991
Precuneus shares intrinsic functional architecture in humans and monkeys
Margulies, D. S., Vincent, J. L., Kelly, C., Lohmann, G., Uddin, L. Q., Biswal, B. B., Villringer, A., Castellanos, F. X., Milham, M. P., & Petrides, M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905314106 · Cited by 965 · cited 1×
“…ICNs exhibit affiliation with the DM module in only some states (1, 2, and 7), reflecting and potentially resolving the confusion and ongoing discussion regarding the inclusion of the precuneus in the default network (see Buckner et al. 2008 and Margulies et al. 2009 for excellent discussions).”
Investigating the electrophysiological basis of resting state networks using magnetoencephalography
Brookes, M. J., Woolrich, M., Luckhoo, H., Price, D., Hale, J. R., Stephenson, M. C., Barnes, G. R., Smith, S. M., & Morris, P. G. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112685108 · Cited by 938
Mapping functionally related regions of brain with functional connectivity MR imaging.
Cordes, D., Haughton, V. M., Arfanakis, K., Wendt, G. J., Turski, P. A., Moritz, C. H., Quigley, M., & Meyerand, M. E. (2000) · PubMed Central · Cited by 908
Weight-conserving characterization of complex functional brain networks
Rubinov, M., & Sporns, O. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.069 · Cited by 903
Hamilton, J. P., Furman, D. J., Chang, C., Thomason, M. E., Dennis, E., & Gotlib, I. H. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.02.003 · Cited by 823
EM Algorithms for PCA and SPCA
Roweis, S. T. (1997) · Cited by 780
Comparison of multi‐subject ICA methods for analysis of fMRI data
Erhardt, E. B., Rachakonda, S., Bedrick, E. J., Allen, E. A., Adalı, T., & Calhoun, V. D. (2010) · Human Brain Mapping · doi:10.1002/hbm.21170 · Cited by 733
Self-citationHutchison, R. M., Womelsdorf, T., Gati, J. S., Everling, S., & Menon, R. S. (2012) · Human Brain Mapping · doi:10.1002/hbm.22058 · Cited by 732
Temporally-independent functional modes of spontaneous brain activity
Smith, S. M., Miller, K. L., Moeller, S., Xu, J., Auerbach, E. J., Woolrich, M. W., Beckmann, C. F., Jenkinson, M., Andersson, J., Glasser, M. F., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121329109 · Cited by 702
Temporal dynamics of spontaneous MEG activity in brain networks
de Pasquale, F., Della Penna, S., Snyder, A. Z., Lewis, C., Mantini, D., Marzetti, L., Belardinelli, P., Ciancetta, L., Pizzella, V., Romani, G. L., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913863107 · Cited by 698
Imaging human EEG dynamics using independent component analysis
Onton, J., Westerfield, M., Townsend, J., & Makeig, S. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.007 · Cited by 672
Fox, M. D., Snyder, A. Z., Zacks, J. M., & Raichle, M. E. (2006) · Nature Neuroscience · doi:10.1038/nn1616 · Cited by 660
Generating surrogate data for time series with several simultaneously measured variables
Prichard, D., & Theiler, J. P. (1994) · Physical Review Letters · doi:10.1103/physrevlett.73.951 · Cited by 639
Sakoğlu, Ü., Pearlson, G. D., Kiehl, K. A., Wang, Y. M., Michael, A. M., & Calhoun, V. D. (2010) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-010-0197-8 · Cited by 623
Self-citationEEG microstate sequences in healthy humans at rest reveal scale-free dynamics.
Van De Ville, D., Britz, J., & Michel, C. M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1007841107 · Cited by 606
Identifying the brain's most globally connected regions
Cole, M. W., Pathak, S., & Schneider, W. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.11.001 · Cited by 572
Calhoun, V. D., Kiehl, K. A., & Pearlson, G. D. (2008) · Human Brain Mapping · doi:10.1002/hbm.20581 · Cited by 567
Self-citationBaseline brain activity fluctuations predict somatosensory perception in humans
Boly, M., Balteau, E., Schnakers, C., Degueldre, C., Moonen, G., Luxen, A., Phillips, C., Peigneux, P., Maquet, P., & Laureys, S. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0611404104 · Cited by 529
Prediction of human errors by maladaptive changes in event-related brain networks
Eichele, T., Debener, S., Calhoun, V. D., Specht, K., Engel, A. K., Hugdahl, K., von Cramon, D. Y., & Ullsperger, M. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0708965105 · Cited by 472
Self-citationLehmann, D., Strik, W. K., Henggeler, B., Koenig, T. W., & Koukkou, M. (1998) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(97)00098-6 · Cited by 461
Non-Stationarity in the “Resting Brain’s” Modular Architecture
Jones, D. T., Vemuri, P., Murphy, M. C., Gunter, J. L., Senjem, M. L., Machulda, M. M., Przybelski, S. A., Gregg, B. E., Kantarci, K., Knopman, D. S., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039731 · Cited by 435
Single-trial EEG–fMRI reveals the dynamics of cognitive function
Debener, S., Ullsperger, M., Siegel, M., & Engel, A. K. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.09.010 · Cited by 428
Development of the Brain's Default Mode Network from Wakefulness to Slow Wave Sleep
Sämann, P. G., Wehrle, R., Hoehn, D., Spoormaker, V. I., Peters, H., Tully, C., Holsboer, F., & Czisch, M. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq295 · Cited by 399
Musso, F., Brinkmeyer, J., Mobascher, A., Warbrick, T., & Winterer, G. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.093 · Cited by 387
Functional segmentation of the brain cortex using high model order group PICA
Kiviniemi, V. J., Starck, T., Remes, J. J., Long, X., Nikkinen, J., Haapea, M., Veijola, J. M., Moilanen, I. K., Isohanni, M. K., Zang, Y., et al. (2009) · Human Brain Mapping · doi:10.1002/hbm.20813 · Cited by 376
The effect of model order selection in group PICA
Abou‐Elseoud, A., Starck, T., Remes, J. J., Nikkinen, J., Tervonen, O. A., & Kiviniemi, V. J. (2010) · Human Brain Mapping · doi:10.1002/hbm.20929 · Cited by 366
Yuan, H., Zotev, V., Phillips, R., Drevets, W. C., & Bodurka, J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.031 · Cited by 352
Sadaghiani, S., Hesselmann, G., & Kleinschmidt, A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.2592-09.2009 · Cited by 325
Decoding brain states from fMRI connectivity graphs
Richiardi, J., Eryilmaz, H., Schwartz, S., Vuilleumier, P. O., & Ville, D. V. D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.081 · Cited by 321
Yan, C., Liu, D., Yong He, A., Zou, Q., Zhu, C., Zuo, X., Long, X., & Zang, Y. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005743 · Cited by 310
Dynamic connectivity regression: Determining state-related changes in brain connectivity
Cribben, I., Haraldsdottir, R., Atlas, L. Y., Wager, T. D., & Lindquist, M. A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.070 · Cited by 289
Birn, R. M., Murphy, K., & Bandettini, P. A. (2008) · Human Brain Mapping · doi:10.1002/hbm.20577 · Cited by 283
Development of a large-scale functional brain network during human non-rapid eye movement sleep
Spoormaker, V. I., Schröter, M. S., Gleiser, P. M., Andrade, K. C., Dresler, M., Wehrle, R., Sämann, P. G., & Czisch, M. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.2015-10.2010 · Cited by 273
A Sliding Time-Window ICA Reveals Spatial Variability of the Default Mode Network in Time
Kiviniemi, V. J., Vire, T., Remes, J. J., Elseoud, A. A., Starck, T., Tervonen, O. A., & Nikkinen, J. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0036 · Cited by 256
Allen, E. A., Erhardt, E. B., Wei, Y., Eichele, T., & Calhoun, V. D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.010 · Cited by 233
Self-citationThompson, G. J., Magnuson, M. E., Merritt, M. D., Schwarb, H. D., Pan, W., McKinley, R. A., Tripp, L. D., Schumacher, E. H., & Keilholz, S. D. (2012) · Human Brain Mapping · doi:10.1002/hbm.22140 · Cited by 225
SimTB, a simulation toolbox for fMRI data under a model of spatiotemporal separability
Erhardt, E. B., Allen, E. A., Wei, Y., Eichele, T., & Calhoun, V. D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.088 · Cited by 221
Self-citationModulation of Brain Resting-State Networks by Sad Mood Induction
Harrison, B. J., Pujol, J., Ortiz, H., Fornito, A., Pantelis, C., & Yücel, M. (2008) · PLoS ONE · doi:10.1371/journal.pone.0001794 · Cited by 206
Brain covariance selection: better individual functional connectivity models using population priorPreprint
Varoquaux, G. P., Gramfort, A., Poline, J., & Thirion, B. (2010) · arXiv (Cornell University) · doi:10.48550/arxiv.1008.5071 · Cited by 204
Delamillieure, P., Doucet, G., Mazoyer, B., Turbelin, M.-R., Delcroix, N., Mellet, E., Zago, L., Crivello, F., Petit, L., Tzourio-Mazoyer, N., et al. (2010) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2009.11.014 · Cited by 190
Network Analysis Reveals Increased Integration during Emotional and Motivational Processing
Kinnison, J., Padmala, S., Choi, J.-M., & Pessoa, L. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0821-12.2012 · Cited by 153
Mattie Tops, A., Buisman‐Pijlman, F. T. A., Boksem, M. A. S., Wijers, A. A., & Korf, J. (2012) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2012.00043 · Cited by 150
Modulation of the brain’s functional network architecture in the transition from wake to sleep
Larson‐Prior, L. J., Power, J. D., Vincent, J. L., Nolan, T. S., Coalson, R. S., Zempel, J. M., Snyder, A. Z., Schlaggar, B. L., Raichle, M. E., & Petersen, S. E. (2011) · Progress in brain research · doi:10.1016/b978-0-444-53839-0.00018-1 · Cited by 145
Wu, L., Eichele, T., & Calhoun, V. D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.053 · Cited by 126
Self-citationBrain Electric Microstates and Cognition: The Atoms of Thought
Lehmann, D. (1990) · Birkhäuser Boston eBooks · doi:10.1007/978-1-4757-1083-0_10 · Cited by 124
Connectomic Intermediate Phenotypes for Psychiatric Disorders
Fornito, A., & Bullmore, E. T. (2012) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2012.00032 · Cited by 121
P4‐158: Nonstationarity in the ‘resting brain's’ modular architecture
Jones, D. T., Vemuri, P., Murphy, M. C., Gunter, J. L., Senjem, M. L., Machulda, M. M., Przybelski, S. A., Gregg, B. E., Kantarci, K., Knopman, D. S., et al. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.05.1862 · Cited by 116
Resting States Affect Spontaneous BOLD Oscillations in Sensory and Paralimbic Cortex
McAvoy, M. P., Larson‐Prior, L. J., Nolan, T. S., Vaishnavi, S., Raichle, M. E., & d’Avossa, G. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90426.2008 · Cited by 115
Coste, C. P., Sadaghiani, S., Friston, K. J., & Kleinschmidt, A. K. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr050 · Cited by 109
Doucet, G. E., Naveau, M., Petit, L., Zago, L., Crivello, F., Jobard, G., Delcroix, N., Mellet, E., Tzourio‐Mazoyer, N., Mazoyer, B. M., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.059 · Cited by 106
John, E., & Collura, T. F. (1992) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199204010-00013 · Cited by 72
Lehmann, D., Strik, W. K., Henggeler, B., & Koenig, T. W. (1998) · Cited by 71
Three-dimensional MR-encephalography: Fast volumetric brain imaging using rosette trajectories
Zahneisen, B., Grotz, T., Lee, K. J., Ohlendorf, S., Reisert, M., Zaitsev, M., & Hennig, J. (2011) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22711 · Cited by 65
Slow brain oscillations of sleep, resting state, and vigilance
Van Someren, E. J. W., Van Der Werf, Y. D., Roelfsema, P. R., Mansvelder, H. D., & Lopes da Silva, F. H. (2011) · Progress in Brain Research · doi:10.1016/b978-0-444-53839-0.00001-6 · Cited by 58
Decomposing the brain: components and modes, networks and nodes
Calhoun, V. D., Eichele, T., Adalı, T., & Allen, E. A. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.03.008 · Cited by 44
Self-citationStarck, T., Remes, J. J., Nikkinen, J., Tervonen, O. A., & Kiviniemi, V. J. (2009) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2009.11.015 · Cited by 32
Organization for Human Brain Mapping
(2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.012 · Cited by 16
Research works printed but not linked: 4
- Baker, 2012, Investigating the temporal dynamics of resting state connectivity with MEG
- Chang, 2012, Dynamics of resting-state functional connectivity associated with heart rate variability
- Gonzalez-Castillo, 2012, Detection of task transitions on 45 min long continuous multi-task runs using whole brain connectivity
- Starck, 2012, Temporally varying connectivity between ICA default-mode sub-networks—ASD vs. controls
Cited by
Sorted by citations
BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics
Xia, M., Wang, J., & He, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068910 · Cited by 4,106
Dynamic functional connectivity: Promise, issues, and interpretations
Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.079 · Cited by 2,962
Self-citationStructural and Functional Brain Networks: From Connections to Cognition
Park, H.-J., & Friston, K. (2013) · Science · doi:10.1126/science.1238411 · Cited by 2,106
Multi-task connectivity reveals flexible hubs for adaptive task control
Cole, M. W., Reynolds, J. R., Power, J. D., Repovs, G., Anticevic, A., & Braver, T. S. (2013) · Nature Neuroscience · doi:10.1038/nn.3470 · Cited by 1,704
Yan, C.-G., Cheung, B., Kelly, C., Colcombe, S., Craddock, R. C., Di Martino, A., Li, Q., Zuo, X.-N., Castellanos, F. X., & Milham, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.004 · Cited by 1,461
Metadata
- Authors
- Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D.
- Affiliations
- Mind Research Network (US)
- Corresponding author
- Allen, Elena A.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-11-11
- Volume
- 24
- Issue
- 3
- Pages
- 663-676
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC3920766
- OpenAlex
- W2170702893
- Cited by
- 2,992
- References
- 95
- Citations by year
- 2026: 182 · 2025: 278 · 2024: 260 · 2023: 265 · 2022: 295 · 2021: 309 · 2020: 292 · 2019: 293 · 2018: 200 · 2017: 208 · 2016: 154 · 2015: 119 · 2014: 90 · 2013: 43 · 2012: 1
- FWCI
- 41.47
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cerebral Cortex (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Norges Forskningsråd
- National Institutes of Health
- National Institute on Drug Abuse (R01DA040487)
- National Institute of Biomedical Imaging and Bioengineering (R01EB000840, R01EB020407, R01EB005846, R01EB006841)
- National Center for Research Resources (P20RR021938)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- dynamic functional connectivity, resting-state functional connectivity, spatial independent component analysis, lateral parietal cortex, cingulate cortex, large-scale brain networks, spontaneous neural fluctuations
- MeSH terms
- Adolescent, Adult, Brain, Child, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Neural Pathways, Rest, Nonlinear Dynamics, Principal Component Analysis, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
