Questions and controversies in the study of time-varying functional connectivity in resting fMRI
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Abstract
The brain is a complex, multiscale dynamical system composed of many interacting regions. Knowledge of the spatiotemporal organization of these interactions is critical for establishing a solid understanding of the brain's functional architecture and the relationship between neural dynamics and cognition in health and disease. The possibility of studying these dynamics through careful analysis of neuroimaging data has catalyzed substantial interest in methods that estimate time-resolved fluctuations in functional connectivity (often referred to as "dynamic" or time-varying functional connectivity; TVFC). At the same time, debates have emerged regarding the application of TVFC analyses to resting fMRI data, and about the statistical validity, physiological origins, and cognitive and behavioral relevance of resting TVFC. These and other unresolved issues complicate interpretation of resting TVFC findings and limit the insights that can be gained from this promising new research area. This article brings together scientists with a variety of perspectives on resting TVFC to review the current literature in light of these issues. We introduce core concepts, define key terms, summarize controversies and open questions, and present a forward-looking perspective on how resting TVFC analyses can be rigorously and productively applied to investigate a wide range of questions in cognitive and systems neuroscience.
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Dynamic functional connectivity approaches are already revealing patterns of brain dynamics that distinguish youth with ASD.
“While several methodological issues have yet to be resolved (112), dynamic functional connectivity approaches are already revealing interesting patterns of brain dynamics that distinguish youth with ASD (Table 2).”
From Brain Mechanisms Supporting Flexible Cognition and Behavior in Adolescents With Autism Spectrum Disorder (2021) · cites this paper as [112]
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James, W. (1891) · Henry Holt and Company eBooks · doi:10.1037/11059-000 · Cited by 25,799 · see citing works
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 · see citing works
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 · see citing works
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182 · see citing works
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 · see citing works
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304 · see citing works
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576 · see citing works
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,542 · see citing works
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358 · see citing works
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 · see citing works
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326 · see citing works
Methods to detect, characterize, and remove motion artifact in resting state fMRI
Power, J. D., Mitra, A., Laumann, T. O., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.048 · Cited by 3,748 · see citing works
Thalamocortical oscillations in the sleeping and aroused brain
Steriade, M., McCormick, D. A., & Sejnowski, T. J. (1993) · Science · doi:10.1126/science.8235588 · Cited by 3,564 · see citing works
Tracking whole-brain connectivity dynamics in the resting state
Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs352 · Cited by 2,992 · see citing works
Self-citationDynamic 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 · see citing works
Self-citationFunctional connectome fingerprinting: Identifying individuals using patterns of brain connectivity
Finn, E. S., Shen, X., Scheinost, D., Rosenberg, M. D., Huang, J., Chun, M. M., Papademetris, X., & Constable, R. T. (2015) · Nature Neuroscience · doi:10.1038/nn.4135 · Cited by 2,747 · see citing works
Holme, P., & Saramäki, J. (2012) · Physics Reports · doi:10.1016/j.physrep.2012.03.001 · Cited by 2,736 · see citing works
A wandering mind is an unhappy mind
Killingsworth, M. A., & Gilbert, D. T. (2010) · Science · doi:10.1126/science.1192439 · Cited by 2,575 · see citing works
The influence of head motion on intrinsic functional connectivity MRI
Van Dijk, K. R. A., Sabuncu, M. R., & Buckner, R. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.044 · Cited by 2,344 · see citing works
Resting-state connectivity biomarkers define neurophysiological subtypes of depression
Drysdale, A. T., Grosenick, L., Downar, J., Dunlop, K., Mansouri, F., Meng, Y., Fetcho, R. N., Zebley, B., Oathes, D. J., Etkin, A., et al. (2017) · Nature Medicine · doi:10.1038/nm.4246 · Cited by 2,170 · see citing works
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 · see citing works
Intersubject synchronization of cortical activity during natural vision
Hasson, U., Nir, Y., Levy, I., Fuhrmann, G., & Malach, R. (2004) · Science · doi:10.1126/science.1089506 · Cited by 1,839 · see citing works
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 · see citing works
Christoff, K., Gordon, A. M., Smallwood, J., Smith, R., & Schooler, J. W. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900234106 · Cited by 1,769 · see citing works
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 · see citing works
Intrinsic and task-evoked network architectures of the human brain
Cole, M. W., Bassett, D. S., Power, J. D., Braver, T. S., & Petersen, S. E. (2014) · Neuron · doi:10.1016/j.neuron.2014.05.014 · Cited by 1,564 · see citing works
Self-citationThe dynamic functional connectome: State-of-the-art and perspectives
Preti, M. G., Bolton, T. A. W., & Ville, D. V. D. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.061 · Cited by 1,425 · see citing works
The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery
Calhoun, V. D., Miller, R. L., Pearlson, G. D., & Adalı, T. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.015 · Cited by 1,388 · see citing works
Self-citationDynamic models of large-scale brain activity
Breakspear, M. (2017) · Nature Neuroscience · doi:10.1038/nn.4497 · Cited by 1,239 · see citing works
Self-citationThe impact of sleep deprivation on decision making: A review.
Harrison, Y., & Horne, J. A. (2000) · Journal of Experimental Psychology: Applied · doi:10.1037/1076-898x.6.3.236 · Cited by 1,238 · see citing works
The Variability of Human, BOLD Hemodynamic Responses
Aguirre, G. K., Zarahn, E., & D’Esposito, M. (1998) · NeuroImage · doi:10.1006/nimg.1998.0369 · Cited by 1,224 · see citing works
Resting-state functional connectivity in neuropsychiatric disorders
Greicius, M. (2008) · Current Opinion in Neurology · doi:10.1097/wco.0b013e328306f2c5 · Cited by 1,180 · see citing works
Clinical applications of resting state functional connectivity
Fox, M. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00019 · Cited by 1,164 · see citing works
Satterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., Gur, R. C., & Gur, R. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.063 · Cited by 1,125 · see citing works
Large-scale cortical correlation structure of spontaneous oscillatory activity
Hipp, J. F., Hawellek, D. J., Corbetta, M., Siegel, M., & Engel, A. K. (2012) · Nature Neuroscience · doi:10.1038/nn.3101 · Cited by 1,113 · see citing works
The dynamic brain: from spiking neurons to neural masses and cortical fields
Deco, G., Jirsa, V. K., Robinson, P. A., Breakspear, M., & Friston, K. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000092 · Cited by 1,084 · see citing works
Self-citationOrienting and reorienting: the locus coeruleus mediates cognition through arousal
Sara, S. J., & Bouret, S. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.011 · Cited by 1,056 · see citing works
Single-trial neural dynamics are dominated by richly varied movements
Musall, S., Kaufman, M. T., Juavinett, A., Gluf, S., & Churchland, A. K. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0502-4 · Cited by 1,056 · see citing works
Towards a consensus regarding global signal regression for resting state functional connectivity MRI
Murphy, K., & Fox, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.052 · Cited by 1,043 · see citing works
Coupling Between Neuronal Firing, Field Potentials, and fMRI in Human Auditory Cortex
Mukamel, R., Gelbard, H., Arieli, A., Hasson, U., Fried, I., & Malach, R. (2005) · Science · doi:10.1126/science.1110913 · Cited by 1,042 · see citing works
Ciric, R., Wolf, D. H., Power, J. D., Roalf, D. R., Baum, G. L., Ruparel, K., Shinohara, R. T., Elliott, M. A., Eickhoff, S. B., Davatzikos, C., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.020 · Cited by 1,042 · see citing works
Self-citationThe Role of Sleep in Cognition and Emotion
Walker, M. P. (2009) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.04416.x · Cited by 1,024 · see citing works
A neuromarker of sustained attention from whole-brain functional connectivity
Rosenberg, M. D., Finn, E. S., Scheinost, D., Papademetris, X., Shen, X., Constable, R. T., & Chun, M. M. (2015) · Nature Neuroscience · doi:10.1038/nn.4179 · Cited by 1,004 · see citing works
Handwerker, D. A., Ollinger, J. M., & D’Esposito, M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.11.029 · Cited by 993 · see citing works
Recent progress and outstanding issues in motion correction in resting state fMRI
Power, J. D., Schlaggar, B. L., & Petersen, S. E. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.044 · Cited by 957 · see citing works
Neural basis of global resting-state fMRI activity
Schölvinck, M. L., Maier, A., Ye, F. Q., Duyn, J. H., & Leopold, D. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913110107 · Cited by 939 · see citing works
The Resting Brain: Unconstrained yet Reliable
Shehzad, Z. E., Kelly, C. A. M., Reiss, P. T., Gee, D. G., Gotimer, K., Uddin, L. Q., Lee, S. H., Margulies, D. S., Roy, A. K., Biswal, B. B., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn256 · Cited by 913 · see citing works
Shine, J. M., Bissett, P. G., Bell, P. T., Koyejo, O., Balsters, J. H., Gorgolewski, K. J., Moodie, C. A., & Poldrack, R. A. (2016) · Neuron · doi:10.1016/j.neuron.2016.09.018 · Cited by 886 · see citing works
Self-citationBrain network dynamics are hierarchically organized in time
Vidaurre, D., Smith, S. M., & Woolrich, M. W. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1705120114 · Cited by 858 · see citing works
Self-citationBrain connectivity related to working memory performance
Hampson, M., Driesen, N. R., Skudlarski, P., Gore, J. C., & Constable, R. T. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3408-06.2006 · Cited by 853 · see citing works
Gratton, C., Laumann, T. O., Nielsen, A. N., Greene, D. J., Gordon, E. M., Gilmore, A. W., Nelson, S. M., Coalson, R. S., Snyder, A. Z., Schlaggar, B. L., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.035 · Cited by 846 · see citing works
Topographic mapping of a hierarchy of temporal receptive windows using a narrated story
Lerner, Y., Honey, C. J., Silbert, L. J., & Hasson, U. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3684-10.2011 · Cited by 834 · see citing works
Entrainment of Brain Oscillations by Transcranial Alternating Current Stimulation
Helfrich, R. F., Schneider, T. R., Rach, S., Trautmann-Lengsfeld, S. A., Engel, A. K., & Herrmann, C. S. (2014) · Current Biology · doi:10.1016/j.cub.2013.12.041 · Cited by 834 · see citing works
On spurious and real fluctuations of dynamic functional connectivity during rest
Leonardi, N., & Van De Ville, D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.007 · Cited by 828 · see citing works
Parkes, L., Fulcher, B., Yücel, M., & Fornito, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.073 · Cited by 783 · see citing works
The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition
Cohen, J. R., & D’Esposito, M. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2965-15.2016 · Cited by 767 · see citing works
Tools of the trade: psychophysiological interactions and functional connectivity
O’Reilly, J. X., Woolrich, M. W., Behrens, T. E. J., Smith, S. M., & Johansen-Berg, H. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss055 · Cited by 765 · see citing works
Time-resolved resting-state brain networks
Zalesky, A., Fornito, A., Cocchi, L., Gollo, L. L., & Breakspear, M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1400181111 · Cited by 753 · see citing works
Direct effects of transcranial electric stimulation on brain circuits in rats and humans
Vöröslakos, M., Takeuchi, Y., Brinyiczki, K., Zombori, T., Oliva, A., Fernández-Ruiz, A., Kozák, G., Kincses, Z. T., Iványi, B., Buzsáki, G., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-02928-3 · Cited by 735 · see citing works
Hutchison, R. M., Womelsdorf, T., Gati, J. S., Everling, S., & Menon, R. S. (2012) · Human Brain Mapping · doi:10.1002/hbm.22058 · Cited by 725 · see citing works
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 · see citing works
Mather, M., Clewett, D., Sakaki, M., & Harley, C. W. (2016) · Behavioral and Brain Sciences · doi:10.1017/s0140525x15000667 · Cited by 695 · see citing works
Signature of consciousness in the dynamics of resting-state brain activity
Barttfeld, P., Uhrig, L., Sitt, J. D., Sigman, M., Jarraya, B., & Dehaene, S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418031112 · Cited by 670 · see citing works
Electrophysiological correlates of the brain's intrinsic large-scale functional architecture
He, B. J., Snyder, A. Z., Zempel, J. M., Smyth, M. D., & Raichle, M. E. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0807010105 · Cited by 670 · see citing works
Liu, X., & Duyn, J. H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216856110 · Cited by 647 · see citing works
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 · see citing works
Tagliazucchi, E., & Laufs, H. (2014) · Neuron · doi:10.1016/j.neuron.2014.03.020 · Cited by 637 · see citing works
Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?
Hindriks, R., Adhikari, M. H., Murayama, Y., Ganzetti, M., Mantini, D., Logothetis, N. K., & Deco, G. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.055 · Cited by 632 · see citing works
Stress-related noradrenergic activity prompts large-scale neural network reconfiguration
Hermans, E. J., van Marle, H. J. F., Ossewaarde, L., Henckens, M. J. A. G., Qin, S., van Kesteren, M. T. R., Schoots, V. C., Cousijn, H., Rijpkema, M., Oostenveld, R., et al. (2011) · Science · doi:10.1126/science.1209603 · Cited by 627 · see citing works
Nir, Y., Fisch, L., Mukamel, R., Gelbard-Sagiv, H., Arieli, A., Fried, I., & Malach, R. (2007) · Current Biology · doi:10.1016/j.cub.2007.06.066 · Cited by 621 · see citing works
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 620 · see citing works
Self-citationGlobal Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence
Cole, M. W., Yarkoni, T., Repovs, G., Anticevic, A., & Braver, T. S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0536-12.2012 · Cited by 613 · see citing works
Naturalistic Stimuli in Neuroscience: Critically Acclaimed
Sonkusare, S., Breakspear, M. J., & Guo, C. C. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.05.004 · Cited by 607 · see citing works
Self-citationHorovitz, S. G., Fukunaga, M., de Zwart, J. A., van Gelderen, P., Fulton, S. C., Balkin, T. J., & Duyn, J. H. (2007) · Human Brain Mapping · doi:10.1002/hbm.20428 · Cited by 592 · see citing works
Dynamic reconfiguration of the default mode network during narrative comprehension
Simony, E., Honey, C. J., Chen, J., Lositsky, O., Yeshurun, Y., Wiesel, A., & Hasson, U. (2016) · Nature Communications · doi:10.1038/ncomms12141 · Cited by 588 · see citing works
Keeser, D., Meindl, T., Bor, J., Palm, U., Pogarell, O. M., Mulert, C., Brunelin, J., Möller, H., Reiser, M. F., & Padberg, F. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.0542-11.2011 · Cited by 585 · see citing works
Rhythmic TMS Causes Local Entrainment of Natural Oscillatory Signatures
Thut, G., Veniero, D., Romei, V., Miniussi, C., Schyns, P. G., & Groß, J. (2011) · Current Biology · doi:10.1016/j.cub.2011.05.049 · Cited by 573 · see citing works
Calhoun, V. D., Kiehl, K. A., & Pearlson, G. D. (2008) · Human Brain Mapping · doi:10.1002/hbm.20581 · Cited by 567 · see citing works
Self-citationFrom the connectome to brain function
Bargmann, C. I., & Marder, E. (2013) · Nature Methods · doi:10.1038/nmeth.2451 · Cited by 561 · see citing works
Fast transient networks in spontaneous human brain activity
Baker, A. P., Brookes, M. J., Rezek, I. A., Smith, S. M., Behrens, T. E. J., Probert-Smith, P., & Woolrich, M. W. (2014) · eLife · doi:10.7554/elife.01867 · Cited by 555 · see citing works
Thut, G., Schyns, P. G., & Groß, J. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00170 · Cited by 553 · see citing works
Methods for cleaning the BOLD fMRI signal
Caballero-Gaudes, C., & Reynolds, R. C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.018 · Cited by 542 · see citing works
Measuring functional connectivity using MEG: methodology and comparison with fcMRI
Brookes, M. J., Hale, J. R., Zumer, J. M., Stevenson, C. M., Francis, S. T., Barnes, G. R., Owen, J. P., Morris, P. G., & Nagarajan, S. S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.054 · Cited by 519 · see citing works
Human cognition involves the dynamic integration of neural activity and neuromodulatory systems
Shine, J. M., Breakspear, M. J., Bell, P. T., Martens, K. A. E., Shine, R., Koyejo, S., Sporns, O., & Poldrack, R. A. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0312-0 · Cited by 518 · see citing works
Self-citationThe Virtual Brain: a simulator of primate brain network dynamics
Sanz‐Leon, P., Knock, S. A., Woodman, M., Domide, L., Mersmann, J., McIntosh, A. R., & Jirsa, V. (2013) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2013.00010 · Cited by 516 · see citing works
Self-citationOn the stability of BOLD fMRI correlations
Laumann, T. O., Snyder, A. Z., Mitra, A., Gordon, E. M., Gratton, C., Adeyemo, B., Gilmore, A. W., Nelson, S. M., Berg, J. J., Greene, D. J., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw265 · Cited by 516 · see citing works
Criticality in the brain: A synthesis of neurobiology, models and cognition
Cocchi, L., Gollo, L. L., Zalesky, A., & Breakspear, M. J. (2017) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2017.07.002 · Cited by 511 · see citing works
Self-citationBeyond the connectome: how neuromodulators shape neural circuits
Bargmann, C. I. (2012) · BioEssays · doi:10.1002/bies.201100185 · Cited by 505 · see citing works
Role of Reticular Activation in the Modulation of Intracortical Synchronization
Munk, M. H. J., Roelfsema, P. R., Peter König, B., Engel, A. K., & Singer, W. (1996) · Science · doi:10.1126/science.272.5259.271 · Cited by 492 · see citing works
Ali, M. M., Sellers, K. K., & Frӧhlich, F. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5867-12.2013 · Cited by 476 · see citing works
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 439 · see citing works
Dynamic Resting-State Functional Connectivity in Major Depression
Kaiser, R. H., Whitfield-Gabrieli, S., Dillon, D. G., Goer, F., Beltzer, M., Minkel, J., Smoski, M., Dichter, G., & Pizzagalli, D. A. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2015.352 · Cited by 438 · see citing works
Polanía, R., Nitsche, M. A., & Paulus, W. (2011) · Human Brain Mapping · doi:10.1002/hbm.21104 · Cited by 434 · see citing works
Cortical network functional connectivity in the descent to sleep
Larson‐Prior, L. J., Zempel, J. M., Nolan, T. S., Prior, F., Snyder, A. Z., & Raichle, M. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900924106 · Cited by 434 · see citing works
Relations Between Performance and Subjective Ratings of Sleepiness During a Night Awake
Gillberg, M., Kecklund, G., & Åkerstedt, T. (1994) · Sleep · doi:10.1093/sleep/17.3.236 · Cited by 423 · see citing works
Polanía, R., Paulus, W., & Nitsche, M. A. (2012) · Human Brain Mapping · doi:10.1002/hbm.21380 · Cited by 423 · see citing works
Wang, J.-H., Zuo, X.-N., Gohel, S., Milham, M. P., Biswal, B. B., & He, Y. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021976 · Cited by 416 · see citing works
Synchronized delta oscillations correlate with the resting-state functional MRI signal
Lu, H., Zuo, Y., Gu, H., Waltz, J. A., Wang, Z., Scholl, C. A., Rea, W. P., Yang, Y., & Stein, E. A. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705791104 · Cited by 415 · see citing works
Mind wandering away from pain dynamically engages antinociceptive and default mode brain networks
Kucyi, A., Salomons, T. V., & Davis, K. D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1312902110 · Cited by 402 · see citing works
Self-citationFunctional Characterization of the Cingulo-Opercular Network in the Maintenance of Tonic Alertness
Sadaghiani, S., & D’Esposito, M. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu072 · Cited by 375 · see citing works
Krienen, F. M., Yeo, B. T. T., & Buckner, R. L. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0526 · Cited by 372 · see citing works
Lindquist, M. A., Xu, Y., Nebel, M. B., & Caffo, B. S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.052 · Cited by 369 · see citing works
Self-citationSpontaneous cortical activity transiently organises into frequency specific phase-coupling networks
Vidaurre, D., Hunt, L. T., Quinn, A. J., Hunt, B. A. E., Brookes, M. J., Nobre, A. C., & Woolrich, M. W. (2018) · Nature Communications · doi:10.1038/s41467-018-05316-z · Cited by 362 · see citing works
Self-citationCan brain state be manipulated to emphasize individual differences in functional connectivity?
Finn, E., Scheinost, D., Finn, D., Shen, X.-L., Papademetris, X., & Constable, R. T. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.064 · Cited by 361 · see citing works
Dynamic functional connectivity of the default mode network tracks daydreaming
Kucyi, A., & Davis, K. D. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.044 · Cited by 355 · see citing works
Self-citationTracking ongoing cognition in individuals using brief, whole-brain functional connectivity patterns
González-Castillo, J., Hoy, C. W., Handwerker, D. A., Robinson, M. E., Buchanan, L. C., Saad, Z. S., & Bandettini, P. A. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1501242112 · Cited by 344 · see citing works
EEG correlates of time-varying BOLD functional connectivity
Chang, C. E., Liu, Z., Chen, M. C., Liu, X., & Duyn, J. H. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.049 · Cited by 344 · see citing works
Hierarchical Heterogeneity across Human Cortex Shapes Large-Scale Neural Dynamics
Demirtaş, M., Burt, J. B., Helmer, M., Ji, J. L., Adkinson, B. D., Glasser, M. F., Essen, D. C. V., Sotiropoulos, S. N., Anticevic, A., & Murray, J. D. (2019) · Neuron · doi:10.1016/j.neuron.2019.01.017 · Cited by 343 · see citing works
Consolidation and Reconsolidation: Two Lives of Memories?
McKenzie, S., & Eichenbaum, H. (2011) · Neuron · doi:10.1016/j.neuron.2011.06.037 · Cited by 338 · see citing works
González-Castillo, J., Saad, Z. S., Handwerker, D. A., Inati, S., Brenowitz, N., & Bandettini, P. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121049109 · Cited by 336 · see citing works
Discovering dynamic brain networks from big data in rest and task
Vidaurre, D., Abeysuriya, R., Becker, R., Quinn, A. J., Alfaro‐Almagro, F., Smith, S. M., & Woolrich, M. W. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.077 · Cited by 334 · see citing works
Self-citationRashid, B., Arbabshirani, M. R., Damaraju, E., Cetin, M. S., Miller, R. L., Pearlson, G. D., & Calhoun, V. D. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.051 · Cited by 328 · see citing works
Self-citationRapid Reconfiguration of the Functional Connectome after Chemogenetic Locus Coeruleus Activation
Zerbi, V., Floriou‐Servou, A., Markicevic, M., Vermeiren, Y., Sturman, O., Privitera, M., von Ziegler, L., Ferrari, K. D., Weber, B., Deyn, P. P. D., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.05.034 · Cited by 322 · see citing works
Karahanoğlu, F. I., & Ville, D. V. D. (2015) · Nature Communications · doi:10.1038/ncomms8751 · Cited by 320 · see citing works
Neuromodulatory Influences on Integration and Segregation in the Brain
Shine, J. M. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.04.002 · Cited by 320 · see citing works
Self-citationTracking brain arousal fluctuations with fMRI
Chang, C. E., Leopold, D. A., Schölvinck, M. L., Mandelkow, H., Picchioni, D., Liu, X., Ye, F. Q., Turchi, J. N., & Duyn, J. H. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1520613113 · Cited by 308 · see citing works
Advancing functional connectivity research from association to causation
Reid, A., Headley, D. B., Mill, R. D., Sánchez-Romero, R., Uddin, L. Q., Marinazzo, D., Lurie, D. J., Valdes-Sosa, P. A., Hanson, S. J., Biswal, B. B., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0510-4 · Cited by 303 · see citing works
Self-citationShakil, S., Lee, C., & Keilholz, S. D. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.074 · Cited by 296 · see citing works
Task-based dynamic functional connectivity: Recent findings and open questions
González-Castillo, J., & Bandettini, P. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.006 · Cited by 293 · see citing works
The behavioral and cognitive relevance of time-varying, dynamic changes in functional connectivity
Cohen, J. R. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.036 · Cited by 291 · see citing works
Resting brain dynamics at different timescales capture distinct aspects of human behavior
Liégeois, R., Li, J., Kong, R., Orbán, C., Ville, D. V. D., Ge, T., Sabuncu, M. R., & Yeo, B. T. T. (2019) · Nature Communications · doi:10.1038/s41467-019-10317-7 · Cited by 288 · see citing works
Self-citationDynamic BOLD functional connectivity in humans and its electrophysiological correlates
Tagliazucchi, E., von Wegner, F., Morzelewski, A., Brodbeck, V., & Laufs, H. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00339 · Cited by 285 · see citing works
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 283 · see citing works
Self-citationDiscovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K. M., Nielsen, S. F. V., Tagliazucchi, E., Laufs, H., Vuust, P., Deco, G., Woolrich, M. W., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08934-3 · Cited by 268 · see citing works
Self-citationRoberts, J. A., Gollo, L. L., Abeysuriya, R. G., Roberts, G., Mitchell, P. B., Woolrich, M. W., & Breakspear, M. (2019) · Nature Communications · doi:10.1038/s41467-019-08999-0 · Cited by 264 · see citing works
Self-citationEEG Signatures of Dynamic Functional Network Connectivity States
Allen, E. A., Damaraju, E., Eichele, T., Wu, L., & Calhoun, V. D. (2017) · Brain Topography · doi:10.1007/s10548-017-0546-2 · Cited by 260 · see citing works
Self-citationGenzel, L., Kroes, M. C. W., Dresler, M., & Battaglia, F. P. (2013) · Trends in Neurosciences · doi:10.1016/j.tins.2013.10.002 · Cited by 259 · see citing works
Ongoing dynamics in large-scale functional connectivity predict perception
Sadaghiani, S., Poline, J., Kleinschmidt, A. K., & D’Esposito, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1420687112 · Cited by 258 · see citing works
Towards a statistical test for functional connectivity dynamics
Zalesky, A., & Breakspear, M. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.03.047 · Cited by 257 · see citing works
Self-citationInterpreting temporal fluctuations in resting-state functional connectivity MRI
Liégeois, R., Laumann, T. O., Snyder, A. Z., Zhou, J. H., & Yeo, B. T. T. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.012 · Cited by 256 · see citing works
Self-citationOne-year test-retest reliability of intrinsic connectivity network fMRI in older adults
Guo, C. C., Kurth, F., Zhou, J., Mayer, E. A., Eickhoff, S. B., Kramer, J. H., & Seeley, W. W. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.027 · Cited by 252 · see citing works
State and Trait Components of Functional Connectivity: Individual Differences Vary with Mental State
Geerligs, L., Rubinov, M., Cam-CAN, & Henson, R. N. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.1324-15.2015 · Cited by 252 · see citing works
Breakdown of long-range temporal dependence in default mode and attention networks during deep sleep
Tagliazucchi, E., von Wegner, F., Morzelewski, A., Brodbeck, V., Jahnke, K., & Laufs, H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1312848110 · Cited by 251 · see citing works
Subcortical evidence for a contribution of arousal to fMRI studies of brain activity
Liu, X., de Zwart, J. A., Schölvinck, M. L., Chang, C. E., Ye, F. Q., Leopold, D. A., & Duyn, J. H. (2018) · Nature Communications · doi:10.1038/s41467-017-02815-3 · Cited by 251 · see citing works
Wang, P., Kong, R., Kong, X., Liégeois, R., Orbán, C., Deco, G., van den Heuvel, M. P., & Yeo, B. T. T. (2019) · Science Advances · doi:10.1126/sciadv.aat7854 · Cited by 246 · see citing works
Self-citationPrinciples of dynamic network reconfiguration across diverse brain states
Shine, J. M., & Poldrack, R. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.010 · Cited by 242 · see citing works
Self-citationYu, Q., Erhardt, E. B., Jing Sui (Beijing Normal University), my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Du, Y., He, H., Hjelm, D., Cetin, M. S., Rachakonda, S., Miller, R. L., Pearlson, G. D., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.020 · Cited by 232 · see citing works
Self-citationCo-activation patterns in resting-state fMRI signals
Liu, X., Zhang, N., Chang, C. E., & Duyn, J. H. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.041 · Cited by 232 · see citing works
Infraslow LFP correlates to resting-state fMRI BOLD signals
Pan, W.-J., Thompson, G. J., Magnuson, M. E., Jaeger, D., & Keilholz, S. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.035 · Cited by 231 · see citing works
Self-citationWhen the Brain Takes a Break: A Model-Based Analysis of Mind Wandering
Mittner, M., Boekel, W., Tucker, A. M., Turner, B. M., Heathcote, A., & Forstmann, B. U. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.2062-14.2014 · Cited by 228 · see citing works
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 · see citing works
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 220 · see citing works
Infra-Slow EEG Fluctuations Are Correlated with Resting-State Network Dynamics in fMRI
Hiltunen, T., Kantola, J., Elseoud, A. A., Lepola, P., Suominen, K., Starck, T., Nikkinen, J., Remes, J. J., Tervonen, O. A., Palva, S., et al. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0276-13.2014 · Cited by 215 · see citing works
Information-Based Approaches of Noninvasive Transcranial Brain Stimulation
Romei, V., Thut, G., & Silvanto, J. (2016) · Trends in Neurosciences · doi:10.1016/j.tins.2016.09.001 · Cited by 214 · see citing works
Task activations produce spurious but systematic inflation of task functional connectivity estimates
Cole, M. W., Ito, T., Schultz, D. H., Mill, R. D., Chen, R. J., & Cocuzza, C. V. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.054 · Cited by 211 · see citing works
Shine, J. M., Koyejo, S., & Poldrack, R. A. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1604898113 · Cited by 203 · see citing works
Self-citationIntrinsic functional architecture predicts electrically evoked responses in the human brain
Keller, C. J., Bickel, S., Entz, L., Ulbert, I., Milham, M. P., Kelly, C. A. M., & Mehta, A. D. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1019750108 · Cited by 201 · see citing works
Lafon, B., Henin, S. E., Huang, Y., Friedman, D. J., Melloni, L., Thesen, T., Doyle, W., Buzsáki, G., Devinsky, O., Parra, L. C., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01045-x · Cited by 200 · see citing works
Comparing test-retest reliability of dynamic functional connectivity methods
Choe, A. S., Nebel, M. B., Barber, A. D., Cohen, J. R., Xu, Y., Pekar, J. J., Caffo, B. S., & Lindquist, M. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.005 · Cited by 197 · see citing works
Self-citationThe Amsterdam Resting-State Questionnaire reveals multiple phenotypes of resting-state cognition
Diaz, B. A., Van Der Sluis, S., Moens, S., Benjamins, J. S., Migliorati, F., Stoffers, D., Den Braber, A., Poil, S.-S., Hardstone, R., Van't Ent, D., et al. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00446 · Cited by 194 · see citing works
Entrainment of Prefrontal Beta Oscillations Induces an Endogenous Echo and Impairs Memory Formation
Hanslmayr, S., Matuschek, J., & Fellner, M.-C. (2014) · Current Biology · doi:10.1016/j.cub.2014.03.007 · Cited by 193 · see citing works
Miller, R. L., Yaesoubi, M., Turner, J. A., Mathalon, D. H., Preda, A., Pearlson, G. D., Adalı, T., & Calhoun, V. D. (2016) · PLoS ONE · doi:10.1371/journal.pone.0149849 · Cited by 193 · see citing works
Self-citationReplicability of time-varying connectivity patterns in large resting state fMRI samples
Abrol, A., Damaraju, E., Miller, R. L., Stephen, J. M., Claus, E. D., Mayer, A. R., & Calhoun, V. D. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.020 · Cited by 193 · see citing works
Self-citationRosenberg, M. D., Noonan, S. K., Degutis, J. M., & Esterman, M. S. (2013) · Attention Perception & Psychophysics · doi:10.3758/s13414-012-0413-x · Cited by 192 · see citing works
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 · see citing works
Some Aspects of the Time-Correlation Problem in Regard to Tests of Significance
Bartlett, M. S. (1935) · Journal Of The Royal Statistical Society · doi:10.2307/2342284 · Cited by 188 · see citing works
Spontaneous eyelid closures link vigilance fluctuation with fMRI dynamic connectivity states
Wang, C., Ong, J. L., Patanaik, A., Zhou, J. H., & Chee, M. W. L. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1523980113 · Cited by 187 · see citing works
Díez‐Cirarda, M., Strafella, A. P., Kim, J., Peña, J., Ojeda, N., Cabrera‐Zubizarreta, A., & Ibarretxe‐Bilbao, N. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.12.013 · Cited by 179 · see citing works
Shine, J. M., Aburn, M. J., Breakspear, M. J., & Poldrack, R. A. (2018) · eLife · doi:10.7554/elife.31130 · Cited by 175 · see citing works
Self-citationBeaty, R. E., Chen, Q., Christensen, A. P., Qiu, J., Silvia, P. J., & Schacter, D. L. (2017) · Human Brain Mapping · doi:10.1002/hbm.23884 · Cited by 175 · see citing works
Ma, S., Calhoun, V. D., Phlypo, R., & Adalı, T. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.063 · Cited by 172 · see citing works
Self-citationA Functional Cartography of Cognitive Systems
Mattar, M. G., Cole, M. W., Thompson‐Schill, S. L., & Bassett, D. S. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004533 · Cited by 172 · see citing works
Self-citationWeak correlations between hemodynamic signals and ongoing neural activity during the resting state
Winder, A. T., Echagarruga, C., Zhang, Q., & Drew, P. J. (2017) · Nature Neuroscience · doi:10.1038/s41593-017-0007-y · Cited by 172 · see citing works
Gorgolewski, K. J., Lurie, D. J., Urchs, S. G. W., Kipping, J., Craddock, R. C., Milham, M. P., Margulies, D. S., & Smallwood, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0097176 · Cited by 167 · see citing works
Self-citationSpontaneous default network activity reflects behavioral variability independent of mind-wandering
Kucyi, A., Esterman, M. S., Riley, C., & Valera, E. M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1611743113 · Cited by 167 · see citing works
Self-citationBOLD fMRI Correlation Reflects Frequency-Specific Neuronal Correlation
Hipp, J. F., & Siegel, M. (2015) · Current Biology · doi:10.1016/j.cub.2015.03.049 · Cited by 165 · see citing works
Yaesoubi, M., Allen, E. A., Miller, R. L., & Calhoun, V. D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.002 · Cited by 164 · see citing works
Self-citationHurst-Kolmogorov Dynamics and Uncertainty1
Koutsoyiannis, D. (2011) · JAWRA Journal of the American Water Resources Association · doi:10.1111/j.1752-1688.2011.00543.x · Cited by 163 · see citing works
Thompson, G. J., Pan, W., Magnuson, M. E., Jaeger, D., & Keilholz, S. D. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.029 · Cited by 160 · see citing works
Intrinsic and Task-Dependent Coupling of Neuronal Population Activity in Human Parietal Cortex
Foster, B. L., Rangarajan, V., Shirer, W. R., & Parvizi, J. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.018 · Cited by 159 · see citing works
Wang, L., Saalmann, Y. B., Pinsk, M. A., Arcaro, M. J., & Kastner, S. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.033 · Cited by 158 · see citing works
Reggente, N., Moody, T. D., Morfini, F., Sheen, C., Rissman, J., O’Neill, J., & Feusner, J. D. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1716686115 · Cited by 154 · see citing works
Infraslow State Fluctuations Govern Spontaneous fMRI Network Dynamics
Gutierrez‐Barragan, D., Basson, M. A., Panzeri, S., & Gozzi, A. (2019) · Current Biology · doi:10.1016/j.cub.2019.06.017 · Cited by 152 · see citing works
Predicting errors from reconfiguration patterns in human brain networks
Ekman, M., Derrfuß, J., Tittgemeyer, M., & Fiebach, C. J. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1207523109 · Cited by 150 · see citing works
Dynamic effective connectivity in resting state fMRI
Park, H., Friston, K. J., Pae, C., Park, B., & Razi, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.11.033 · Cited by 150 · see citing works
Self-citationDirect electrophysiological measurement of human default network areas
Miller, K. J., Weaver, K. E., & Ojemann, J. G. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0902071106 · Cited by 149 · see citing works
Some Aspects of the Time-Correlation Problem in Regard to Tests of Significance
Bartlett, M. S. (1935) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.2397-2335.1935.tb04277.x · Cited by 147 · see citing works
Computational Neuropsychology and Bayesian Inference
Parr, T., Rees, G. E., & Friston, K. J. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00061 · Cited by 146 · see citing works
Dynamic modulation of intrinsic functional connectivity by transcranial direct current stimulation
Sehm, B., Schäfer, A., Kipping, J., Margulies, D. S., Conde, V., Taubert, M., Villringer, A., & Ragert, P. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00606.2012 · Cited by 142 · see citing works
Dynamic Repertoire of Intrinsic Brain States Is Reduced in Propofol-Induced Unconsciousness
Hudetz, A. G., Liu, X., & Pillay, S. (2014) · Brain Connectivity · doi:10.1089/brain.2014.0230 · Cited by 142 · see citing works
Hutchison, R. M., Hutchison, M., Manning, K. Y., Menon, R. S., & Everling, S. (2014) · Human Brain Mapping · doi:10.1002/hbm.22583 · Cited by 139 · see citing works
Frequency-specific electrophysiologic correlates of resting state fMRI networks
Hacker, C. D., Snyder, A. Z., Pahwa, M., Corbetta, M., & Leuthardt, E. C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.054 · Cited by 139 · see citing works
Schneider, M., Hathway, P., Leuchs, L., Sämann, P. G., Czisch, M., & Spoormaker, V. I. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.06.011 · Cited by 138 · see citing works
Dynamic brain connectivity is a better predictor of PTSD than static connectivity
Jin, C., Jia, H., Lanka, P., Rangaprakash, D., Li, L., Liu, T., Hu, X. P., & Deshpande, G. (2017) · Human Brain Mapping · doi:10.1002/hbm.23676 · Cited by 135 · see citing works
Just a thought: How mind-wandering is represented in dynamic brain connectivity
Kucyi, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.001 · Cited by 134 · see citing works
Self-citationExcessive Daytime Sleepiness in Patients with Parkinsonʼs Disease
Knie, B., Mitra, M. T., Logishetty, K., & Chaudhuri, K. R. (2011) · CNS Drugs · doi:10.2165/11539720-000000000-00000 · Cited by 132 · see citing works
Kucyi, A., Schrouff, J., Bickel, S., Foster, B. L., Shine, J. M., & Parvizi, J. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0217-18.2018 · Cited by 130 · see citing works
Self-citation<i>Concepts and Mechanisms of Generalized Central Nervous System Arousal</i>
Pfaff, D., Ribeiro, A., Matthews, J., & Kow, L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1417.019 · Cited by 129 · see citing works
Ongoing physiological processes in the cerebral cortex
Leopold, D. A., & Maier, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.059 · Cited by 127 · see citing works
From static to temporal network theory: Applications to functional brain connectivity
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- Authors
- Lurie, D. J., Kessler, D., Bassett, D. S., Betzel, R. F., Breakspear, M., Kheilholz, S., Kucyi, A., Liégeois, R., Lindquist, M. A., McIntosh, A. R., Poldrack, R. A., Shine, J. M., Thompson, W. H., Bielczyk, N. Z., Douw, L., Kraft, D., Miller, R. L., Muthuraman, M., Pasquini, L., Razi, A., Vidaurre, D., Xie, H., & Calhoun, V. D.
- Affiliations
- University of California, Berkeley (US)
- University of Michigan (US)
- University of Pennsylvania (US)
- QIMR Berghofer Medical Research Institute (AU)
- Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA
- Stanford University (US)
- University of Geneva (CH)
- Johns Hopkins University (US)
- University of Toronto (CA)
- The University of Sydney (AU)
- Karolinska Institutet (SE)
- Radboud University Medical Center (NL)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Goethe University Frankfurt (DE)
- Mind Research Network (US)
- University Medical Center of the Johannes Gutenberg University Mainz (DE)
- University of California, San Francisco (US)
- NED University of Engineering and Technology (PK)
- University of Oxford (GB)
- Georgia Institute of Technology (US)
- Corresponding author
- Lurie, Daniel J.
- Calhoun, Vince D.
- ORCID
- Lurie, Daniel J.
- Kessler, Daniel
- Bassett, Danielle S.
- Betzel, Richard F.
- Breakspear, Michael
- Kheilholz, Shella
- Kucyi, Aaron
- Liégeois, Raphaël
- Lindquist, Martin A.
- McIntosh, Anthony Randal
- Poldrack, Russell A.
- Shine, James M.
- Thompson, William Hedley
- Bielczyk, Natalia Z.
- Douw, Linda
- Kraft, Dominik
- Miller, Robyn L.
- Muthuraman, Muthuraman
- Pasquini, Lorenzo
- Razi, Adeel
- Vidaurre, Diego
- Xie, Hua
- Calhoun, Vince D.
- Venue
- Network Neuroscience
- Publisher
- MIT Press
- Published
- 2020-01
- Volume
- 4
- Issue
- 1
- Pages
- 30-69
- ISSN
- 2472-1751 (ISSN-L)
- PMC
- PMC7006871
- OpenAlex
- W2995313551
- Cited by
- 648
- References
- 271
- Citations by year
- 2026: 76 · 2025: 108 · 2024: 115 · 2023: 91 · 2022: 89 · 2021: 98 · 2020: 57 · 2019: 13 · 2018: 1
- FWCI
- 8.04
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Network Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Figshare (submittedVersion, cc-by)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- IUScholarWorks Open (Indiana University) (submittedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
- OPUS (Augsburg University) (submittedVersion, cc-by)
- NOVA (University of Newcastle Australia) (submittedVersion, cc-by)
- Funders
- National Science Foundation (DGE 1106400, DMS-1646108, BCS-1441502, BCS-1430087, NSF PHY-1554488, BCS-1631550, BCS INSPIRE 1533260, 1539067)
- John D. and Catherine T. MacArthur Foundation
- Alfred P. Sloan Foundation
- ISI Foundation
- Paul Allen Foundation
- Army Research Laboratory (W911NF-10-2-0022)
- Army Research Office (Bassett-W911NF-14-1-0679, Grafton-W911NF-16-1-0474, DCIST-W911NF-17-2-0181)
- Office of Naval Research
- National Institute of Mental Health (2-R01-DC-009209-11, R01-MH112847, R01-MH107235, R21-M MH-106799)
- National Institute of Child Health and Human Development (1R01HD086888-01)
- National Institute of Neurological Disorders and Stroke (R01 NS099348, 1F31NS108665-01A1)
- Indiana University Office of the Vice President for Research (Emerging Area of Research Initiative, Learning: Brains, Machines, and Children)
- National Health and Medical Research Council (118153, 10371296, 1095227, GNT1072403, GNT1156536)
- Australian Research Council (CE140100007, DECRA, DE170100128)
- National Institutes of Health (R01MH111416, R01NS078095, R01EB020407, P20GM103472, P30GM122734)
- Canadian Institutes of Health Research (Banting Fellowship)
- CHIST-ERA (IVAN 20CH21 174081)
- National Institute of Biomedical Imaging and Bioengineering (R01 EB016061, R01 EB026549)
- Knut and Alice Wallenberg Foundation (2016.0473)
- Society in Science (Branco Weiss Fellowship)
- Dutch Organization for Scientific Research (016.146.086)
- German Research Foundation (CRC 1193, INST 247/859-1, SFB CRC-1193, SFB CRC-TR-128)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- time-varying functional connectivity, resting-state fMRI, dynamic functional connectivity, statistical validity, neural dynamics, brain functional architecture
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.
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