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Stepwise Connectivity of the Modal Cortex Reveals the Multimodal Organization of the Human Brain
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How human beings integrate information from external sources and internal cognition to produce a coherent experience is still not well understood. During the past decades, anatomical, neurophysiological and neuroimaging research in multimodal integration have stood out in the effort to understand the perceptual binding properties of the brain. Areas in the human lateral occipitotemporal, prefrontal, and posterior parietal cortices have been associated with sensory multimodal processing. Even though this, rather patchy, organization of brain regions gives us a glimpse of the perceptual convergence, the articulation of the flow of information from modality-related to the more parallel cognitive processing systems remains elusive. Using a method called stepwise functional connectivity analysis, the present study analyzes the functional connectome and transitions from primary sensory cortices to higher-order brain systems. We identify the large-scale multimodal integration network and essential connectivity axes for perceptual integration in the human brain.
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“Additionally, it has been demonstrated that aMCC is as a key region in a multimodal network that integrates information originating from primary sensory regions (e.g., visual, auditory, and somatosensory) (Sepulcre et al., 2012).”
From Motivation in the Service of Allostasis: The Role of Anterior Mid-Cingulate Cortex (2019) · cites this paper as Sepulcre et al., 2012
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“Moreover, the inverse correlation between the dorsal attention network and the default-mode network, interpreted by most as a sign of ‘competition’ between the processing of external and internal events in the mature brain106, also emerges during the first year of life112.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [112]
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
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
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
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-citationThe 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
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
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
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
Research works printed but not linked: 1
- De Nooy W Mrvar A Batageli V 2005 Exploratory Network Analysis with Pajek Cambridge University Press
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Margulies, D. S., Ghosh, S. S., Goulas, A., Falkiewicz, M., Huntenburg, J. M., Langs, G., Bezgin, G., Eickhoff, S. B., Castellanos, F. X., Petrides, M., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1608282113 · Cited by 2,321
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van den Heuvel, M. P., & Sporns, O. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.012 · Cited by 2,123
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“Salience regions also help accomplish multimodal integration [compare, e.g. the topography of the salience network and the multimodal integration network found in Sepulcre et al. (2012)].”
An opportunity cost model of subjective effort and task performance
Kurzban, R., Duckworth, A., Kable, J. W., & Myers, J. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12003196 · Cited by 1,381
Precision Functional Mapping of Individual Human Brains
Gordon, E. M., Laumann, T. O., Gilmore, A. W., Newbold, D. J., Greene, D. J., Berg, J. J., Ortega, M., Hoyt-Drazen, C., Gratton, C., Sun, H., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.07.011 · Cited by 1,335
Carhart-Harris, R. L., Leech, R., Hellyer, P. J., Shanahan, M., Feilding, A., Tagliazucchi, E., Chialvo, D. R., & Nutt, D. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00020 · Cited by 1,252
Network attributes for segregation and integration in the human brain
Sporns, O. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.11.015 · Cited by 1,067
Imaging structural and functional brain development in early childhood
Gilmore, J. H., Knickmeyer, R. C., & Gao, W. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.1 · Cited by 1,013
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The theory of constructed emotion: an active inference account of interoception and categorization
Barrett, L. F. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx060 · Cited by 1,009
“Salience regions also help accomplish multimodal integration [compare, e.g. the topography of the salience network and the multimodal integration network found in Sepulcre et al. (2012)].”
Communication dynamics in complex brain networks
Avena-Koenigsberger, A., Misic, B., & Sporns, O. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.149 · Cited by 856
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Sporns, O. (2014) · Nature Neuroscience · doi:10.1038/nn.3690 · Cited by 767
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Kleckner, I. R., Zhang, J., Touroutoglou, A., Chanes, L., Xia, C., Simmons, W. K., Quigley, K. S., Dickerson, B. C., & Feldman Barrett, L. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0069 · Cited by 641
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Hong, S., de Wael, R. V., Bethlehem, R. A. I., Larivière, S., Paquola, C., Valk, S. L., Milham, M. P., Martino, A. D., Margulies, D. S., Smallwood, J., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08944-1 · Cited by 548
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Guell, X., Schmahmann, J. D., Gabrieli, J. D., & Ghosh, S. S. (2018) · eLife · doi:10.7554/elife.36652 · Cited by 472
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Medaglia, J. D., Lynall, M.-E., & Bassett, D. S. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00810 · Cited by 419
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van den Heuvel, M. P., & Sporns, O. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2128-13.2013 · Cited by 404
Atzil, S., Gao, W., Fradkin, I., & Barrett, L. F. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0384-6 · Cited by 415
Task-Based Core-Periphery Organization of Human Brain Dynamics
Bassett, D. S., Wymbs, N. F., Rombach, M. P., Porter, M. A., Mucha, P. J., & Grafton, S. T. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003171 · Cited by 356
Concept representation reflects multimodal abstraction: A framework for embodied semantics
Fernandino, L., Binder, J. R., Desai, R. H., Pendl, S. L., Humphries, C. J., Gross, W. L., Conant, L. L., & Seidenberg, M. S. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv020 · Cited by 305
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Satpute, A. B., & Lindquist, K. A. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.07.003 · Cited by 280
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Raut, R. V., Snyder, A. Z., Mitra, A., Yellin, D., Fujii, N., Malach, R., & Raichle, M. E. (2021) · Science Advances · doi:10.1126/sciadv.abf2709 · Cited by 267
Redefining the role of limbic areas in cortical processing
Chanes, L., & Barrett, L. F. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.11.005 · Cited by 259
Adolfi, F., Couto, B., Richter, F., Decety, J., Lopez, J., Sigman, M., Manes, F., & Ibáñez, A. (2017) · Cortex · doi:10.1016/j.cortex.2016.12.019 · Cited by 238
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
Dong, H.-M., Margulies, D. S., Zuo, X., & Holmes, A. J. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2024448118 · Cited by 253
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Hierarchical functional system development supports executive function
Keller, A. S., Sydnor, V. J., Pines, A. R., Fair, D. A., Bassett, D. S., & Satterthwaite, T. D. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.11.005 · Cited by 130
In vivo characterization of the early states of the amyloid-beta network
Sepulcre, J., Sabuncu, M. R., Becker, A., Sperling, R., & Johnson, K. A. (2013) · Brain · doi:10.1093/brain/awt146 · Cited by 117
Self-citationTeipel, S. J., Grothe, M. J., Zhou, J. H., Sepulcre, J., Dyrba, M., Sorg, C., & Babiloni, C. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617715000995 · Cited by 117
Self-citationPerez, D. L., Matin, N., Barsky, A., Costumero-Ramos, V., Makaretz, S. J., Young, S. S., Sepulcre, J., LaFranceJr, W. C., Keshavan, M. S., & Dickerson, B. C. (2017) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2016-314998 · Cited by 114
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Diversity of meso-scale architecture in human and non-human connectomes
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Classification of weighted networks through mesoscale homological features
Sizemore, A. E., Giusti, C., & Bassett, D. S. (2016) · Journal of Complex Networks · doi:10.1093/comnet/cnw013 · Cited by 74
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Cioli, C., Abdi, H., Beaton, D., Burnod, Y., & Mesmoudi, S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0115913 · Cited by 69
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Tong, J., Binder, J. R., Humphries, C., Mazurchuk, S., Conant, L. L., & Fernandino, L. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1243-21.2022 · Cited by 67
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Abé, C., Liberg, B., Song, J., Bergen, S. E., Petrović, P., Ekman, C. J., Sellgren, C. M., Ingvar, M., & Landén, M. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.08.015 · Cited by 67
Kleber, B., Veit, R., Moll, C. V., Gaser, C., Birbaumer, N., & Lotze, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.045 · Cited by 71
Perez, D. L., Matin, N., Williams, B., Tanev, K. S., Makris, N., LaFrance, W. C., Jr., & Dickerson, B. C. (2017) · Human Brain Mapping · doi:10.1002/hbm.23853 · Cited by 67
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The organisation of the elderly connectome
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Self-citationMartínez, K., Martínez‐Garcia, M., Vidal, L. M., Janssen, J., Castellanos, F. X., Pretus, C., Vilarroya, Ó., Pina‐Camacho, L., Díaz‐Caneja, C. M., Parellada, M., et al. (2019) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2019.05.033 · Cited by 59
Self-citationZhuang, K., Yang, W., Li, Y., Zhang, J., Chen, Q., Meng, J., Wei, D., Sun, J., He, L., Mao, Y., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117632 · Cited by 64
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Dong, H.-M., Zhang, X.-H., Labache, L., Zhang, S., Ooi, L. Q. R., Yeo, B. T. T., Margulies, D. S., Holmes, A. J., & Zuo, X. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01736-x · Cited by 65
Microarchitecture and connectivity of the parietal lobe
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Stout, D., Chaminade, T., Apel, J., Shafti, A., & Faisal, A. A. (2021) · Scientific Reports · doi:10.1038/s41598-021-92992-5 · Cited by 57
Mapping the Voxel-Wise Effective Connectome in Resting State fMRI
Wu, G., Stramaglia, S., Chen, H., Liao, W., & Marinazzo, D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073670 · Cited by 54
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Self-citationPerry, A., Wen, W. X., Kochan, N. A., Thalamuthu, A., Sachdev, P. S., & Breakspear, M. J. (2017) · Human Brain Mapping · doi:10.1002/hbm.23717 · Cited by 57
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“with cingulo-insular brain areas, is involved in higher-order multimodal integration (Sepulcre et al., 2012).”
BackgroundA Spectral Graph Regression Model for Learning Brain Connectivity of Alzheimer’s Disease
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Self-citationIt’s not the thought that counts: Allostasis at the core of brain function
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Metadata
- Authors
- Sepulcre, J., Sabuncu, M. R., Yeo, T. B., Liu, H., & Johnson, K. A.
- Affiliations
- Harvard University (US)
- Athinoula A. Martinos Center for Biomedical Imaging (US)
- Brigham and Women's Hospital (US)
- Venue
- Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-08-01
- Volume
- 32
- Issue
- 31
- Pages
- 10649-10661
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3483645
- OpenAlex
- W2054260111
- Cited by
- 323
- References
- 72
- Citations by year
- 2026: 18 · 2025: 29 · 2024: 30 · 2023: 36 · 2022: 25 · 2021: 36 · 2020: 22 · 2019: 22 · 2018: 18 · 2017: 19 · 2016: 26 · 2015: 15 · 2014: 9 · 2013: 16 · 2012: 2
- FWCI
- 6.79
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Funders
- Alzheimer's Association (NIRG-11-205690)
- National Institutes of Health
- National Institute on Aging (R01AG036694, R01AG037497, P01AG036694)
- National Institute of Neurological Disorders and Stroke (K25NS069805)
- National Institute of Biomedical Imaging and Bioengineering (K25EB013649)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- multimodal integration, functional connectivity, functional connectome, perceptual binding, sensory modalities, primary sensory cortex, lateral occipitotemporal cortex, prefrontal cortex, posterior parietal cortex
- MeSH terms
- Brain Mapping, Cerebral Cortex, Female, Humans, Image Processing, Computer-Assisted, Functional Laterality, Magnetic Resonance Imaging, Male, Mental Processes, Models, Neurological, Neural Pathways, Oxygen, Sensation, Linear Models, Young Adult
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