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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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Ora, H., Wada, M., Salat, D. H., & Kansaku, K. (2016) · Scientific Reports · doi:10.1038/srep28105 · Cited by 8
Marchese, S. M., Esposti, R., Bolzoni, F., & Cavallari, P. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.01159 · Cited by 8
Lin, J., Pan, L., Kang, X., Zhang, D., Bian, X., Lu, H., Hu, J., Hu, J., Zhang, D., Zhou, X., et al. (2023) · Neurotherapeutics · doi:10.1007/s13311-023-01442-9 · Cited by 8
Self-citationSkipper, J. I., & Hasson, U. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/139550 · Cited by 8
Altered Sensorimotor-to-Transmodal Hierarchical Organization in SchizophreniaPreprint
Dong, D., Yao, D., Wang, Y., Hong, S., Genon, S., Xin, F., Jung, K., He, H., Chang, X., Duan, M., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.06.980607 · Cited by 8
Self-citationCortical hierarchy disorganization in major depressive disorder and its association with suicidality
Lin, S., Zhang, X., Yingli, Z., Shengli, C., Xiaoshan, L., Xu, Z., Gangqiang, H., & Qiu, Y. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1140915 · Cited by 7
Shen, C., Liu, C., Chen, N., & Qiu, A. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121183 · Cited by 7
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Fan, X.-R., He, Y., Wang, Y.-S., Li, L., Adamson, C. L., Adler, S., Alexander‐Bloch, A. F., Anagnostou, E. A., Anderson, K. M., Gonzalez, A. A., et al. (2025) · Communications Biology · doi:10.1038/s42003-025-08573-z · Cited by 9
Sun, S., Wang, F., Xu, F., Deng, Y., Ma, J., Chen, K., Guo, S. J., Liang, X. S., & Zhang, T. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121107 · Cited by 7
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Jaroszynski, C., Job, A., Jedynak, M., Olivier David, A., & Delon‐Martin, C. (2022) · Brain Sciences · doi:10.3390/brainsci12030334 · Cited by 7
Yang, S., Zhou, Y., Peng, C., Meng, Y., Chen, H., Zhang, S., Kong, X., Kong, R., Yeo, B. T. T., Liao, W., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-05819-0 · Cited by 7
Cocuzza, C. V., Chopra, S., Segal, A., Labache, L., Chin, R., Joss, K., & Holmes, A. J. (2026) · Nature Communications · doi:10.1038/s41467-026-75585-6 · Cited by 9
Moore, J. W., Wilson, S., Oldehinkel, M., Cordero‐Grande, L., Uus, A. U., Kyriakopoulou, V., Duff, E. P., O’Muircheartaigh, J., Rutherford, M., Andreae, L. C., et al. (2023) · doi:10.7554/elife.90536.1 · Cited by 6
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Kartar, A. A., Horinouchi, T., Örzsik, B., Anderson, B., Hall, L., Bailey, D., Samuel, S., Beltran, N., Bouyagoub, S., Racey, C., et al. (2025) · PLoS ONE · doi:10.1371/journal.pone.0329411 · Cited by 8
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Costumero, V., Rosell‐Negre, P., Bustamante, J. C., Fuentes‐Claramonte, P., Adrián‐Ventura, J., Palomar‐García, M., Miró‐Padilla, A., Llopis, J. J., Sepulcre, J., & Barrós‐Loscertales, A. (2021) · Addiction Biology · doi:10.1111/adb.13072 · Cited by 4
Self-citationSuñol, M., Alemany, S., Bustamante, M., Diez, I. P., Contreras‐Rodríguez, O., Laudo, B., Macià, D., Martínez‐Vilavella, G., Martínez‐Zalacaín, I., Menchón, J. M., et al. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.11.009 · Cited by 5
Self-citationFernandino, L., & Conant, L. L. (2023) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2024.108939 · Cited by 7
Are Functional (Psychogenic Nonepileptic) Seizures the Sole Expression of Psychological Processes?
Sojka, P., Paredes-Echeverri, S., & Perez, D. L. (2021) · Current topics in behavioral neurosciences · doi:10.1007/7854_2021_225 · Cited by 3
Epicenters of dynamic connectivity in the adaptation of the ventral visual system
Prčkovska, V., Huijbers, W., Schultz, A. P., Ortiz-Terán, L., Peña-Gómez, C., Villoslada, P., Johnson, K. A., Sperling, R. A., & Sepulcre, J. (2016) · Human Brain Mapping · doi:10.1002/hbm.23497 · Cited by 4
Self-citationYilmaz, F., van Leeuwen, T. M., Güçlü, U., Güçlütürk, Y., & van Lier, R. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1516070 · Cited by 4
Unique and divergent features of human brain development
Salamon, I., Doyle, D. Z., Bandler, R. C., Pattabiraman, K., & Šestan, N. (2025) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2025.103133 · Cited by 6
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Lyndon, S. (2026) · Brain · doi:10.1093/brain/awag101 · Cited by 5
Muhr, P. (2022) · transcript Verlag eBooks · doi:10.14361/9783839461761 · Cited by 6
Sun, J., Niu, Y., Wang, C., Dong, Y., Wang, B., Wei, J., Xiang, J., & Ma, J. (2023) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2023.105811 · Cited by 4
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He, Z., Zhang, T., Wang, Q., Zhang, S., Cao, G., Liu, T., Zhao, S., Jiang, X., Guo, L., Yuan, Y., et al. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae453 · Cited by 4
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Divergent connectomic organization delineates genetic evolutionary traits in the human brain
Bueichekú, E., Gónzalez‐de‐Echávarri, J. M., Ortiz-Terán, L., Montal, V., Uquillas, F. D., de Marcos, L., Orwig, W., Kim, C. M., Ortiz-Terán, E., Basaia, S., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-99082-6 · Cited by 4
Self-citationde Winckel, A. V., Zhang, L., Hendrickson, T. J., Lim, K. O., Mueller, B. A., Philippus, A. H., Monden, K. R., Oh, J., Huang, Q., Sertic, J. V. L., et al. (2023) · medRxiv · doi:10.1101/2023.02.11.23285808 · Cited by 6
Cappa, S. F. (2023) · Language Cognition and Neuroscience · doi:10.1080/23273798.2023.2223676 · Cited by 4
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Jiang, Q., Lin, J., Li, C., Hou, Y., & Shang, H. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.891789 · Cited by 3
Gorzi, A., Rezapour, N., Jabbari, S., Youzbashi, L., Salehi, J., Gahreman, D. E., & Neto, W. K. (2022) · Physiology & Behavior · doi:10.1016/j.physbeh.2022.113921 · Cited by 4
Hogendoorn, H. (2022) · Cognitive and Behavioral Neurology · doi:10.1097/wnn.0000000000000325 · Cited by 4
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Li, H., Shi, H., Jiang, S., Hou, C., Wu, H., Yao, G., Yao, D., & Luo, C. (2023) · Bioengineering · doi:10.3390/bioengineering10101166 · Cited by 3
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García‐Molina, A., & Gonzalo, I. (2024) · Revista de Neurología · doi:10.33588/rn.7807.2024050 · Cited by 3
Yorita, A., Kawayama, T., Inoue, M., Kinoshita, T., Oda, H., Tokunaga, Y., Tateishi, T., Shoji, Y., Uchimura, N., Abe, T., et al. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13092556 · Cited by 3
Wang, Y., Gong, T., Tao, N., Zeng, Y., Ma, H., Yuan, W., Luo, W., & Zhou, F. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1361063 · Cited by 3
Kim, S., Kang, U., Gu, J., Kim, J., Park, J., Hwang, G. W., Park, S., Jang, H. J., Seong, T., & Lee, S. (2024) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.4c02343 · Cited by 3
Martín-Herrero, L., Suñol, M., Pascual‐Diaz, S., Ting, T. V., Dudley, J. A., Jackson, C., Kashikar‐Zuck, S., Coghill, R. C., & López‐Solà, M. (2025) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsaf060 · Cited by 4
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Rezaeinia, P., Fairley, K., Pal, P., Meyer, F. G., & Carter, R. M. (2019) · Network Neuroscience · doi:10.1162/netn_a_00122 · Cited by 3
Gao, Q. C., Xiang, Y., Zhang, J., Luo, N., Liang, M., Gong, L., Yu, J., Cui, Q., Sepulcre, J., & Chen, H. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118497 · Cited by 3
Self-citationSariñana, J. (2024) · Leonardo · doi:10.1162/leon_a_02627 · Cited by 3
Cortical thinning and microstructural integrity disruption in white matter hyperintensities
Wang, X., Hu, J., Wu, H.-Y., Wang, W., Xie, X., Cao, S., Geng, F., Hu, P., Tian, Y., Wang, K., et al. (2025) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2025.111525 · Cited by 2
Bleier, C., Guthrie, A. J., Ranford, J., MacLean, J., Godena, E. J., Maggio, J., Finkelstein, S. A., Diez, I. P., Westlin, C., Quigley, K. S., et al. (2026) · NeuroImage Clinical · doi:10.1016/j.nicl.2026.103996 · Cited by 2
Overlapping Replicator Dynamics for Functional Subnetwork Identification
Yoldemir, B., Ng, B., & Rafeef Abugharbieh, A. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40763-5_84 · Cited by 2
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García‐Molina, A., & Gonzalo, I. (2023) · Revista de Neurología · doi:10.33588/rn.7607.2023062 · Cited by 2
Gutjahr, R., Bothe, M. S., Hofmann, M. H., & Chagnaud, B. P. (2025) · The Journal of Comparative Neurology · doi:10.1002/cne.70064 · Cited by 2
Sepulcre, J., Sabuncu, M., & Goñi, J. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00023-3 · Cited by 2
Self-citationIs the Brainstem Really Sufficient for a Consciousness That Would Have Interested Freud?
Carhart-Harris, R. L. (2013) · Neuropsychoanalysis · doi:10.1080/15294145.2013.10773714 · Cited by 2
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Xie, X., Damasceno, P. F., Cai, C., Nagarajan, S. S., & Raj, A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.16.300384 · Cited by 2
Mishra, S., Asif, M., & Tiwary, U. S. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.05.455187 · Cited by 2
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Taylor, H. P., Huynh, K. M., Thung, K., Lin, G., Lyu, W., Lin, W., Ahmad, S., & Yap, P. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.14.599109 · Cited by 2
Tang, Q., Zhang, G., Fan, Y., Sheng, W., Yang, C., Liu, L., Liu, X., Liu, H., Guo, Y., Gao, Q. C., et al. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.03.038 · Cited by 1
Self-citationDisturbed hierarchy and mediation in reward-related circuits in depression
Yang, R., Chen, J., Yue, S., Yu, Y., Fan, J., Luo, Y., He, H., Duan, M., Jiang, S., Yao, D., et al. (2025) · NeuroImage Clinical · doi:10.1016/j.nicl.2025.103739 · Cited by 1
Qureshi, A. Y., Nielsen, J. A., & Sepulcre, J. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhae474 · Cited by 1
Self-citationBhattacharjee, S., Chakraborty, I., Kashyap, R., Sreeraj, V. S., Arshad, F., Yamini, B. K., Bharath, R. D., Sivakumar, P. T., Venkatsubramanian, G., Alladi, S., et al. (2025) · Brain Disorders · doi:10.1016/j.dscb.2025.100255 · Cited by 1
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Tan, J. X. M., Kang, M. S., Yeh, Y., Bezgin, G., Lussier, F. Z., Hong, S., Isen, J., Rahmouni, N., Vitali, P., Montembeault, M., et al. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf399 · Cited by 2
Gutjahr, R., Bothe, M. S., & Chagnaud, B. P. (2025) · The Journal of Comparative Neurology · doi:10.1002/cne.70097 · Cited by 1
Kemmerer, D. L., & Dove, G. O. (2026) · Cortex · doi:10.1016/j.cortex.2026.02.008 · Cited by 1
Zhang, W., Li, G. L. G., Mao, F., Zhao, H., Zhao, L., Liang, L., Guo, Y., Sun, C., Yang, Y., Wang, X., et al. (2026) · Journal of Integrative Neuroscience · doi:10.31083/jin46634 · Cited by 1
Aberrant Functional Connectivity in Core–Periphery Structure Based on WSBM in ADHD
Li, D., Hou, D., Zhang, Y., Zhao, Y., Cui, X., Niu, Y., Xiang, J., & Wang, B. (2023) · Journal of Attention Disorders · doi:10.1177/10870547231214985 · Cited by 1
Roy, B. L., Martin‐Krumm, C., Aufauvre-Poupon, C., Rouquet, C., Trouve, C., Jego, C., Giaume, L., & Trousselard, M. (2024) · European Journal of Trauma & Dissociation · doi:10.1016/j.ejtd.2024.100452 · Cited by 2
Wang, Y., Tang, L., Wang, M., Li, W., Wang, M., Chen, Q., Yang, Z., Li, Z., Wang, Z., Wu, G., et al. (2024) · Appetite · doi:10.1016/j.appet.2024.107694 · Cited by 1
Guo, X., Wang, X., Zhou, R., Cui, D., Liu, J., & Gao, L. (2024) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-024-06661-3 · Cited by 1
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Greca, A. D., Montero, Á., Amaro, I., Aedo, I., Dı́az, P., & Onorati, T. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-95452-8_9 · Cited by 1
From correlation to communication: Disentangling hidden factors from functional connectivity changes
Yu, Y., Gratton, C., & Smith, D. M. (2022) · Network Neuroscience · doi:10.1162/netn_a_00290 · Cited by 1
Distinct Sets of Internal, External, and Control Connector Hubs Integrate Human Brain FunctionPreprint
Gordon, E. M., Lynch, C. J., Gratton, C., Laumann, T. O., Gilmore, A. W., Greene, D. J., Ortega, M., Nguyen, A. L., Schlaggar, B. L., Petersen, S. E., et al. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3188401 · Cited by 1
Qureshi, A. Y., Nielsen, J. A., & Sepulcre, J. (2020) · doi:10.21203/rs.3.rs-28618/v1 · Cited by 1
Self-citationde Winckel, A. V., Patre, D. D., Rigoni, M., Fiecas, M. J. A., Hendrickson, T. J., Larson, M., Jagadeesan, B., Mueller, B. A., Elvendahl, W., Streib, C. D., et al. (2020) · doi:10.21203/rs.3.rs-75235/v1 · Cited by 1
Moore, J. W., Wilson, S., Oldehinkel, M., Cordero‐Grande, L., Uus, A. U., Kyriakopoulou, V., Duff, E. P., O’Muircheartaigh, J., Rutherford, M., Andreae, L. C., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.26.546607 · Cited by 1
Moore, J. W., Wilson, S., Oldehinkel, M., Cordero‐Grande, L., Uus, A. U., Kyriakopoulou, V., Duff, E. P., O’Muircheartaigh, J., Rutherford, M., Andreae, L. C., et al. (2023) · doi:10.7554/elife.90536 · Cited by 2
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Fu, M., Chen, G., Zhang, Y., Zhang, M., & Wang, Y. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.15.646250 · Cited by 1
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Fu, M., Chen, G., Zhang, Y., Zhang, M., & Wang, Y. (2025) · eLife · doi:10.7554/elife.107607 · Cited by 1
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Fu, M., Chen, G., Zhang, Y., Zhang, M., & Wang, Y. (2025) · eLife · doi:10.7554/elife.107607.1 · Cited by 3
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Manea, A. M. G., Erickson, T., Salazar, G. D., Heilbronner, S. R., Zilverstand, A., & Zimmermann, J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.23.678075 · Cited by 1
Characterization of functional diversity of the human brain based on intrinsic connectivity networksPreprint
Chu, C., Fan, L., & Jiang, T. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/475855
Training Multimodal Systems for Classification with Multiple ObjectivesPreprint
Armitage, J., Thakur, S., Tripathi, R., Lehmann, J., & Maleshkova, M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2008.11450
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Self-citationGrady, C. L., & Bellana, B. (2017) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.728648445.793538199
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Katsumi, Y., de Voogd, L. D., Ventura‐Bort, C., Liu, W., & Qin, S. (2023) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2023.1120282
Moore, J. W., Wilson, S., Oldehinkel, M., et al. (2023) · doi:10.7554/elife.90536.1.sa1
Liang, X., Wang, L., Zhu, Y., Wang, Y., He, T., Wu, L., Huang, M., & Zhou, F. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1143646
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Mecklenbrauck, F., Sepulcre, J., Fehring, J., & Schubotz, R. I. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120914
Self-citationFernandino, L., & Binder, J. R. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15754-7.00058-4
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Fang, Y., Chao, X., Lu, Z., Huang, H., Shi, R., Yin, D., Chen, H., Lu, Y., Wang, J., Wang, P., et al. (2024) · NeuroImage Clinical · doi:10.1016/j.nicl.2024.103723 · Cited by 3
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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