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Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture
Open accessAbstract
Functional coupling across distributed brain regions varies across task contexts, yet there are stable features. To better understand the range and central tendencies of network configurations, coupling patterns were explored using functional MRI (fMRI) across 14 distinct continuously performed task states ranging from passive fixation to increasingly demanding classification tasks. Mean global correlation profiles across the cortex ranged from 0.69 to 0.82 between task states. Network configurations from both passive fixation and classification tasks similarly predicted task coactivation patterns estimated from meta-analysis of the literature. Thus, even across markedly different task states, central tendencies dominate the coupling configurations. Beyond these shared components, distinct task states displayed significant differences in coupling patterns in response to their varied demands. One possibility is that anatomical connectivity provides constraints that act as attractors pulling network configurations towards a limited number of robust states. Reconfigurable coupling modes emerge as significant modifications to a core functional architecture.
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“Together, these results suggest that a globally efficient, integrated network architecture supports fast, effective computation throughout the cognitive processing stream (Krienen et al., 2014), potentially through the facilitation of parallel processing mechanisms (Sigman and Dehaene, 2008).”
From The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance (2016) · cites this paper as Krienen et al., 2014
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Cites
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888
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
Self-citationDissociable 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
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
Self-citationCorrespondence 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
Colman (2022) · doi:10.1073/pnas · Cited by 4,370
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
A mechanism for cognitive dynamics: neuronal communication through neuronal coherence.
Fries, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.08.011 · Cited by 4,284
Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.
Kwong, K. K., Belliveau, J. W., Chesler, D. A., Goldberg, I. E., Weisskoff, R. M., Poncelet, B. P., Kennedy, D. N., Hoppel, B. E., Cohen, M. S., & Turner, R. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5675 · Cited by 4,212
Functional Network Organization of the Human Brain
Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., Vogel, A. C., Laumann, T. O., Miezin, F. M., Schlaggar, B. L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.006 · Cited by 4,124
Large-scale automated synthesis of human functional neuroimaging data.
Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C., & Wager, T. D. (2011) · Nature Methods · doi:10.1038/nmeth.1635 · Cited by 3,686 · cited 2×
“The whole-cortex fcMRI global coupling profile measured during passive rest was correlated with the coactivation patterns derived from the NeuroSynth database [75] (http://neurosynth.”
MethodOgawa, S., Tank, D. W., Menon, R., Ellermann, J. M., Kim, S. G., Merkle, H., & Ugurbil, K. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.13.5951 · Cited by 3,681
Accurate and robust brain image alignment using boundary-based registration
Greve, D. N., & Fischl, B. R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.060 · Cited by 3,553
Functional and Effective Connectivity: A Review
Friston, K. J. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0008 · Cited by 3,415
Investigations into resting-state connectivity using independent component analysis
Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1634 · Cited by 3,398
The economy of brain network organization
Bullmore, E., & Sporns, O. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3214 · Cited by 3,284
Mesulam, M. (1998) · Brain · doi:10.1093/brain/121.6.1013 · Cited by 3,072
Buckner, 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
Self-citationNetwork-based statistic: identifying differences in brain networks
Zalesky, A., Fornito, A., & Bullmore, E. T. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.041 · Cited by 2,750
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
Self-citationSpontaneous 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
(1994) · Choice Reviews Online · doi:10.5860/choice.31-4365 · Cited by 1,897
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
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
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
A Parametric Study of Prefrontal Cortex Involvement in Human Working Memory
Braver, T. S., Cohen, J. D., Nystrom, L. E., Jonides, J., Smith, E. E., & Noll, D. C. (1997) · NeuroImage · doi:10.1006/nimg.1996.0247 · Cited by 1,694
Poldrack, R. A., Wagner, A. D., Prull, M. W., Desmond, J. E., Glover, G. H., & Gabrieli, J. D. E. (1999) · NeuroImage · doi:10.1006/nimg.1999.0441 · Cited by 1,448
A neuronal model of a global workspace in effortful cognitive tasks
Dehaene, S., Kerszberg, M., & Changeux, J.-P. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.24.14529 · Cited by 1,347
fMRI resting state networks define distinct modes of long-distance interactions in the human brain
De Luca, M., Beckmann, C. F., De Stefano, N., Matthews, P. M., & Smith, S. M. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.035 · Cited by 1,241
Individual Variability in Functional Connectivity Architecture of the Human Brain
Mueller, S., Wang, D., Fox, M., Yeo, B. T. T., Sepulcre, J., Sabuncu, M. R., Shafee, R., Lu, J., & Liu, H. (2013) · Neuron · doi:10.1016/j.neuron.2012.12.028 · Cited by 1,168
Self-citationA Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex
Van Essen, D. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.058 · Cited by 1,151
Functional connectomics from resting-state fMRI
Smith, S. M., Vidaurre, D., Beckmann, C. F., Glasser, M. F., Jenkinson, M., Miller, K. L., Nichols, T. E., Robinson, E. C., Salimi-Khorshidi, G., Woolrich, M. W., et al. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.016 · Cited by 952
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 948
Measuring functional connectivity during distinct stages of a cognitive task
Rissman, J., Gazzaley, A. H., & D’Esposito, M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.06.035 · Cited by 917
Opportunities and limitations of intrinsic functional connectivity MRI
Buckner, R. L., Krienen, F. M., & Yeo, B. T. T. (2013) · Nature Neuroscience · doi:10.1038/nn.3423 · Cited by 912
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
Learning sculpts the spontaneous activity of the resting human brain
Lewis, C. M., Baldassarre, A., Committeri, G., Romani, G. L., & Corbetta, M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0902455106 · Cited by 777
Zuo, X.-N., Kelly, C., Adelstein, J. S., Klein, D. F., Castellanos, F. X., & Milham, M. P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.080 · Cited by 744
(2014) · doi:10.1523/jneurosci · Cited by 715
Ongoing Cortical Activity at Rest: Criticality, Multistability, and Ghost Attractors
Deco, G., & Jirsa, V. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.2523-11.2012 · Cited by 704
Hierarchical modularity in human brain functional networks
David Meunier, A. (2009) · Frontiers in Neuroinformatics · doi:10.3389/neuro.11.037.2009 · Cited by 689
Evidence for the Default Network's Role in Spontaneous Cognition
Andrews-Hanna, J. R., Reidler, J. S., Huang, C., & Buckner, R. L. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00830.2009 · Cited by 685
Self-citationLiu, X., & Duyn, J. H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216856110 · Cited by 663
Fox, M. D., Snyder, A. Z., Zacks, J. M., & Raichle, M. E. (2006) · Nature Neuroscience · doi:10.1038/nn1616 · Cited by 660
Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans
Yong He, A., Wang, J., Wang, L. Y., Chen, Z. J., Yan, C., Yang, H., Tang, H., Zhu, C., Gong, Q., Zang, Y., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005226 · Cited by 635
Brain morphometry with multiecho MPRAGE
van der Kouwe, A. J. W., Benner, T., Salat, D. H., & Fischl, B. R. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.025 · Cited by 597
Enhanced Brain Correlations during Rest Are Related to Memory for Recent Experiences
Tambini, A., Ketz, N., & Davachi, L. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.001 · Cited by 596
Deco, G., Ponce-Alvarez, A., Mantini, D., Romani, G. L., Hagmann, P., & Corbetta, M. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1091-13.2013 · Cited by 576
Fornito, A., Harrison, B. J., Zalesky, A., & Simons, J. S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1204185109 · Cited by 555
Surface-Based and Probabilistic Atlases of Primate Cerebral Cortex
Essen, D. C. V., & Dierker, D. L. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.015 · Cited by 540
The Resting Human Brain and Motor Learning
Albert, N. B., Robertson, E. M., & Miall, R. C. (2009) · Current Biology · doi:10.1016/j.cub.2009.04.028 · Cited by 510 · cited 1×
“However, reconfigurations can be directly induced by changing the behavioural task or behavioural context [14–39].”
BackgroundIntrinsic Coupling Modes: Multiscale Interactions in Ongoing Brain Activity
Engel, A. K., Gerloff, C., Hilgetag, C. C., & Nolte, G. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.038 · Cited by 471
Cognitive relevance of the community structure of the human brain functional coactivation network
Crossley, N. A., Mechelli, A., Vértes, P. E., Winton‐Brown, T., Patel, A. X., Ginestet, C. E., McGuire, P. K., & Bullmore, E. T. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1220826110 · Cited by 457
Association between Functional Connectivity Hubs and Brain Networks
Tomasi, D. G., & Volkow, N. D. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq268 · Cited by 441
Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder
Baker, J. T., Holmes, A. J., Masters, G. A., Yeo, B. T. T., Krienen, F., Buckner, R. L., & Öngür, D. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.3469 · Cited by 435
Self-citationThe Organization of Local and Distant Functional Connectivity in the Human Brain
Sepulcre, J., Liu, H., Talukdar, T., Martincorena, I., Yeo, B. T. T., & Buckner, R. L. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000808 · Cited by 428
Self-citationResting brains never rest: computational insights into potential cognitive architectures
Deco, G., Jirsa, V., & McIntosh, A. R. (2013) · Trends in Neurosciences · doi:10.1016/j.tins.2013.03.001 · Cited by 388
A Parcellation Scheme for Human Left Lateral Parietal Cortex
Nelson, S. M., Cohen, A. L., Power, J. D., Wig, G. S., Miezin, F. M., Wheeler, M. E., Velanova, K., Donaldson, D. I., Phillips, J. S., Schlaggar, B. L., et al. (2010) · Neuron · doi:10.1016/j.neuron.2010.05.025 · Cited by 348
Spontaneous local variations in ongoing neural activity bias perceptual decisions
Hesselmann, G., Kell, C. A., Eger, E., & Kleinschmidt, A. K. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0712043105 · Cited by 333
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
Functional ontologies for cognition: The systematic definition of structure and function
Price, C. J., & Friston, K. J. (2004) · Cognitive Neuropsychology · doi:10.1080/02643290442000095 · Cited by 285
Individual variability in functional connectivity predicts performance of a perceptual task
Baldassarre, A., Lewis, C. M., Committeri, G., Snyder, A. Z., Romani, G. L., & Corbetta, M. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113148109 · Cited by 281
Functionally Specific Changes in Resting-State Sensorimotor Networks after Motor Learning
Vahdat, S., Darainy, M., Milner, T. E., & Ostry, D. J. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2737-11.2011 · Cited by 271
Task-specific Repetition Priming in Left Inferior Prefrontal Cortex
Wagner, A. D. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.12.1176 · Cited by 249
Yeo, B. T. T., Krienen, F. M., Chee, M. W. L., & Buckner, R. L. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.046 · Cited by 247
Self-citationPersistence of hippocampal multivoxel patterns into postencoding rest is related to memory
Tambini, A., & Davachi, L. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1308499110 · Cited by 230
Awake reactivation predicts memory in humans
Staresina, B. P., Alink, A., Kriegeskorte, N., & Henson, R. N. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1311989110 · Cited by 219
Hellyer, P. J., Shanahan, M., Scott, G., Wise, R. J. S., Sharp, D. J., & Leech, R. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1853-13.2014 · Cited by 205
Stevens, W. D., Buckner, R. L., & Schacter, D. L. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp270 · Cited by 195
Self-citationTask-dependent organization of brain regions active during rest
Hasson, U., Nusbaum, H. C., & Small, S. L. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903253106 · Cited by 193
The Extrinsic and Intrinsic Functional Architectures of the Human Brain Are Not Equivalent
Mennes, M., Kelly, C. A. M., Colcombe, S. J., Castellanos, F. X., & Milham, M. P. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs010 · Cited by 167
Divergent task-dependent functional connectivity of executive control and salience networks
Elton, A., & Gao, W. (2014) · Cortex · doi:10.1016/j.cortex.2013.10.012 · Cited by 127
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
Wang, D., Buckner, R. L., & Liu, H. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00598.2012 · Cited by 124
Self-citationCategory-Selective Background Connectivity in Ventral Visual Cortex
Norman-Haignere, S., McCarthy, G., Chun, M. M., & Turk‐Browne, N. B. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr118 · Cited by 122
Neocortical Connectivity during Episodic Memory Formation
Summerfield, C., Greene, M., Wager, T. D., Egner, T., Hirsch, J., & Mangels, J. A. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040128 · Cited by 119
Changes in functional connectivity of human MT/V5 with visual motion input
Hampson, M., Olson, I. R., Leung, H., Skudlarski, P., & Gore, J. C. (2004) · Neuroreport · doi:10.1097/01.wnr.0000129997.95055.15 · Cited by 119
Impact of Working Memory Load on fMRI Resting State Pattern in Subsequent Resting Phases
Pyka, M., Beckmann, C. F., Schöning, S., Hauke, S., Heider, D., Kugel, H., Arolt, V., & Konrad, C. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007198 · Cited by 116
Gießing, C., Thiel, C. M., Alexander‐Bloch, A. F., Patel, A. X., & Bullmore, E. T. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4854-12.2013 · Cited by 114
Discovering structure in the space of fMRI selectivity profiles
Danial Lashkari, A., Vul, E., Kanwisher, N., & Golland, P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.106 · Cited by 96
Functional Connectivity of the Medial Temporal Lobe Relates to Learning and Awareness
McIntosh, A. R., Rajah, M. N., & Lobaugh, N. J. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-16-06520.2003 · Cited by 89
The dynamic reorganization of the default-mode network during a visual classification task
Gao, W., Gilmore, J. H., Alcauter, S., & Lin, W. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2013.00034 · Cited by 43
Barbero (2014) · doi:10.1016/j · Cited by 1
(2018) · Digital Commons@Becker (Washington University School of Medicine) · doi:10.1371/journal
Research works printed but not linked: 1
- Cole MW, 2013, Multi-state task functional connectivity reveals the human brain's dynamic network architecture and stable functional backbone
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Metadata
- Authors
- Krienen, F. M., Yeo, B. T. T., & Buckner, R. L.
- Affiliations
- Harvard University (US)
- National University of Singapore (SG)
- Corresponding author
- Buckner, Randy L.
- Venue
- Philosophical Transactions of the Royal Society B Biological Sciences
- Publisher
- The Royal Society
- Published
- 2014-10-05
- Volume
- 369
- Issue
- 1653
- Pages
- 20130526
- ISSN
- 0962-8436 (ISSN-L)
- 1471-2970
- PMC
- PMC4150301
- OpenAlex
- W2061662249
- Cited by
- 372
- References
- 81
- Citations by year
- 2026: 21 · 2025: 22 · 2024: 33 · 2023: 33 · 2022: 37 · 2021: 41 · 2020: 34 · 2019: 41 · 2018: 34 · 2017: 27 · 2016: 26 · 2015: 17 · 2014: 5
- FWCI
- 13.83
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Philosophical Transactions of the Royal Society B Biological Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (1s10rr019307-01, 1s10rr021110-01a1)
- National Institute of Biomedical Imaging and Bioengineering (P41EB015896)
- National Center for Research Resources (S10RR023401)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- functional coupling, brain network reconfiguration, cortical functional connectivity, task state, classification tasks
- MeSH terms
- Adult, Brain, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Nerve Net, Perception, Physical Stimulation, Psychomotor Performance, Word Association Tests, Cluster Analysis, Linear Models, Connectome
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