{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T00:44:15Z","timestamp":1778114655155,"version":"3.51.4"},"reference-count":116,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,5,18]],"date-time":"2022-05-18T00:00:00Z","timestamp":1652832000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000135","name":"NIH Blueprint for Neuroscience Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000135","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009607","name":"McDonnell Center for Systems Neuroscience","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009607","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP170101815"],"award-info":[{"award-number":["DP170101815"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["APP1117724"],"award-info":[{"award-number":["APP1117724"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["APP1118153"],"award-info":[{"award-number":["APP1118153"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage"],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1016\/j.neuroimage.2022.119323","type":"journal-article","created":{"date-parts":[[2022,5,20]],"date-time":"2022-05-20T12:46:18Z","timestamp":1653050778000},"page":"119323","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":62,"special_numbering":"C","title":["Network communication models narrow the gap between the modular organization of structural and functional brain networks"],"prefix":"10.1016","volume":"257","author":[{"given":"Caio","family":"Seguin","sequence":"first","affiliation":[]},{"given":"Sina","family":"Mansour L","sequence":"additional","affiliation":[]},{"given":"Olaf","family":"Sporns","sequence":"additional","affiliation":[]},{"given":"Andrew","family":"Zalesky","sequence":"additional","affiliation":[]},{"given":"Fernando","family":"Calamante","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neuroimage.2022.119323_bib0001","doi-asserted-by":"crossref","first-page":"540","DOI":"10.1016\/j.neuroimage.2018.05.070","article-title":"On testing for spatial correspondence between maps of human brain structure and function","volume":"178","author":"Alexander-Bloch","year":"2018","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0002","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1038\/s42003-019-0611-3","article-title":"An improved neuroanatomical model of the default-mode network reconciles previous neuroimaging and neuropathological findings","volume":"2","author":"Alves","year":"2019","journal-title":"Commun. Biol."},{"issue":"3","key":"10.1016\/j.neuroimage.2022.119323_bib0003","first-page":"646","article-title":"Toward an information theoretical description of communication in brain networks","volume":"5","author":"Amico","year":"2021","journal-title":"Netw. Neurosci."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0004","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.neuroimage.2017.01.020","article-title":"Mapping the functional connectome traits of levels of consciousness","volume":"148","author":"Amico","year":"2017","journal-title":"Neuroimage"},{"issue":"12","key":"10.1016\/j.neuroimage.2022.119323_bib0005","doi-asserted-by":"crossref","first-page":"e115503","DOI":"10.1371\/journal.pone.0115503","article-title":"Validation of network communicability metrics for the analysis of brain structural networks","volume":"9","author":"Andreotti","year":"2014","journal-title":"PLoS ONE"},{"issue":"1","key":"10.1016\/j.neuroimage.2022.119323_bib0006","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1007\/s00429-016-1238-5","article-title":"Path ensembles and a tradeoff between communication efficiency and resilience in the human connectome","volume":"222","author":"Avena-Koenigsberger","year":"2017","journal-title":"Brain Struct. Funct."},{"issue":"1","key":"10.1016\/j.neuroimage.2022.119323_bib0007","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1038\/nrn.2017.149","article-title":"Communication dynamics in complex brain networks","volume":"19","author":"Avena-Koenigsberger","year":"2018","journal-title":"Nat. Rev. Neurosci."},{"issue":"3","key":"10.1016\/j.neuroimage.2022.119323_bib0008","doi-asserted-by":"crossref","first-page":"e1006833","DOI":"10.1371\/journal.pcbi.1006833","article-title":"A spectrum of routing strategies for brain networks","volume":"15","author":"Avena-Koenigsberger","year":"2019","journal-title":"PLoS Comput. Biol."},{"issue":"3","key":"10.1016\/j.neuroimage.2022.119323_bib0009","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1038\/nn.4502","article-title":"Network neuroscience","volume":"20","author":"Bassett","year":"2017","journal-title":"Nat. Neurosci."},{"issue":"18","key":"10.1016\/j.neuroimage.2022.119323_bib0010","doi-asserted-by":"crossref","first-page":"7641","DOI":"10.1073\/pnas.1018985108","article-title":"Dynamic reconfiguration of human brain networks during learning","volume":"108","author":"Bassett","year":"2011","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0011","doi-asserted-by":"crossref","unstructured":"Bazzi, M., Porter, M. A., Williams, S., McDonald, M., Fenn, D. J., Howison, S. D., 2016. Community detection in temporal multilayer networks, with an application to correlation networks.","DOI":"10.1137\/15M1009615"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0012","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/j.neubiorev.2016.08.036","article-title":"Subcortical contributions to large-scale network communication","volume":"71","author":"Bell","year":"2016","journal-title":"Neurosci. Biobehav. Rev."},{"issue":"3","key":"10.1016\/j.neuroimage.2022.119323_bib0013","first-page":"831","article-title":"Persistence of information flow: a multiscale characterization of human brain","volume":"5","author":"Benigni","year":"2021","journal-title":"Netw. Neurosci."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0014","unstructured":"Betzel, R. F., 2020. Community detection in network neuroscience. arXiv preprint arXiv:2011. 06723."},{"issue":"Pt A","key":"10.1016\/j.neuroimage.2022.119323_bib0015","doi-asserted-by":"crossref","first-page":"1054","DOI":"10.1016\/j.neuroimage.2015.09.041","article-title":"Generative models of the human connectome","volume":"124","author":"Betzel","year":"2016","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0016","doi-asserted-by":"crossref","first-page":"115990","DOI":"10.1016\/j.neuroimage.2019.07.003","article-title":"The community structure of functional brain networks exhibits scale-specific patterns of inter- and intra-subject variability","volume":"202","author":"Betzel","year":"2019","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.neuroimage.2022.119323_bib0017","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1017\/nws.2013.19","article-title":"Multi-scale community organization of the human structural connectome and its relationship with resting-state functional connectivity","volume":"1","author":"Betzel","year":"2013","journal-title":"Network Science"},{"issue":"2","key":"10.1016\/j.neuroimage.2022.119323_bib0018","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1162\/netn_a_00075","article-title":"Distance-dependent consensus thresholds for generating group-representative structural brain networks","volume":"3","author":"Betzel","year":"2019","journal-title":"Netw. Neurosci."},{"issue":"1","key":"10.1016\/j.neuroimage.2022.119323_bib0019","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1038\/s41467-017-02681-z","article-title":"Diversity of meso-scale architecture in human and non-human connectomes","volume":"9","author":"Betzel","year":"2018","journal-title":"Nat. Commun."},{"issue":"11","key":"10.1016\/j.neuroimage.2022.119323_bib0020","doi-asserted-by":"crossref","first-page":"902","DOI":"10.1038\/s41551-019-0404-5","article-title":"Structural, geometric and genetic factors predict interregional brain connectivity patterns probed by electrocorticography","volume":"3","author":"Betzel","year":"2019","journal-title":"Nat. Biomed. Eng."},{"issue":"1","key":"10.1016\/j.neuroimage.2022.119323_bib0021","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1162\/NETN_a_00002","article-title":"The modular organization of human anatomical brain networks: accounting for the cost of wiring","volume":"1","author":"Betzel","year":"2017","journal-title":"Netw. Neurosci."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0022","doi-asserted-by":"crossref","first-page":"P10008","DOI":"10.1088\/1742-5468\/2008\/10\/P10008","article-title":"Fast unfolding of communities in large networks","volume":"10","author":"Blondel","year":"2008","journal-title":"J. Stat. Mech. Theory Exp."},{"issue":"1","key":"10.1016\/j.neuroimage.2022.119323_bib0023","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1038\/nphys1130","article-title":"Navigability of complex networks","volume":"5","author":"Boguna","year":"2009","journal-title":"Nat. Phys."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0110","unstructured":"Cao, Y., 2022. Hungarian algorithm for linear assignment problems (V2.3) (https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/20652-hungarian-algorithm-for-linear-assignment-problems-v2-3), MATLAB central file exchange. retrieved January 26, 2022."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0024","doi-asserted-by":"crossref","first-page":"118971","DOI":"10.1016\/j.neuroimage.2022.118971","article-title":"Cortico-subcortical interactions in overlapping communities of edge functional connectivity","volume":"250","author":"Chumin","year":"2022","journal-title":"Neuroimage"},{"issue":"9","key":"10.1016\/j.neuroimage.2022.119323_bib0025","doi-asserted-by":"crossref","first-page":"1348","DOI":"10.1038\/nn.3470","article-title":"Multi-task connectivity reveals flexible hubs for adaptive task control","volume":"16","author":"Cole","year":"2013","journal-title":"Nat. Neurosci."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0026","doi-asserted-by":"crossref","first-page":"101687","DOI":"10.1016\/j.nicl.2019.101687","article-title":"Resting state network modularity along the prodromal late onset Alzheimer\u2019s disease continuum","volume":"22","author":"Contreras","year":"2019","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0027","doi-asserted-by":"crossref","unstructured":"Craddock, R. C., Cameron Craddock, R., Jbabdi, S., Yan, C.-G., Vogelstein, J. T., Xavier Castellanos, F., Di Martino, A., Kelly, C., Heberlein, K., Colcombe, S., Milham, M. P., 2013. Imaging human connectomes at the macroscale.","DOI":"10.1038\/nmeth.2482"},{"issue":"33","key":"10.1016\/j.neuroimage.2022.119323_bib0028","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1098\/rsif.2008.0484","article-title":"A weighted communicability measure applied to complex brain networks","volume":"6","author":"Crofts","year":"2009","journal-title":"J. R. Soc. Interface"},{"issue":"1","key":"10.1016\/j.neuroimage.2022.119323_bib0029","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.neuroimage.2010.08.032","article-title":"Network analysis detects changes in the contralesional hemisphere following stroke","volume":"54","author":"Crofts","year":"2011","journal-title":"Neuroimage"},{"issue":"28","key":"10.1016\/j.neuroimage.2022.119323_bib0030","doi-asserted-by":"crossref","first-page":"11583","DOI":"10.1073\/pnas.1220826110","article-title":"Cognitive relevance of the community structure of the human brain functional coactivation network","volume":"110","author":"Crossley","year":"2013","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"6","key":"10.1016\/j.neuroimage.2022.119323_bib0031","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1007\/s00429-009-0208-6","article-title":"Greater than the sum of its parts: a review of studies combining structural connectivity and resting-state functional connectivity","volume":"213","author":"Damoiseaux","year":"2009","journal-title":"Brain Struct. Funct."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0032","doi-asserted-by":"crossref","unstructured":"Damoiseaux, J. S., Rombouts, S. A. R., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., Beckmann, C. F., 2006. Consistent resting-state networks across healthy subjects.","DOI":"10.1073\/pnas.0601417103"},{"issue":"23","key":"10.1016\/j.neuroimage.2022.119323_bib0033","doi-asserted-by":"crossref","first-page":"7910","DOI":"10.1523\/JNEUROSCI.4423-13.2014","article-title":"Identification of optimal structural connectivity using functional connectivity and neural modeling","volume":"34","author":"Deco","year":"2014","journal-title":"J. Neurosci."},{"issue":"10","key":"10.1016\/j.neuroimage.2022.119323_bib0034","doi-asserted-by":"crossref","first-page":"3102","DOI":"10.1002\/hbm.25420","article-title":"Distinct functional and structural connections predict crystallised and fluid cognition in healthy adults","volume":"42","author":"Dhamala","year":"2021","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0035","doi-asserted-by":"crossref","first-page":"10532","DOI":"10.1038\/srep10532","article-title":"A novel brain partition highlights the modular skeleton shared by structure and function","volume":"5","author":"Diez","year":"2015","journal-title":"Sci. Rep."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0036","series-title":"The physics of communicability in complex networks","author":"Estrada","year":"2012"},{"issue":"3 Pt 2","key":"10.1016\/j.neuroimage.2022.119323_bib0037","doi-asserted-by":"crossref","first-page":"036111","DOI":"10.1103\/PhysRevE.77.036111","article-title":"Communicability in complex networks","volume":"77","author":"Estrada","year":"2008","journal-title":"Phys. Rev. E Stat. Nonlinear Soft Matter Phys."},{"issue":"5","key":"10.1016\/j.neuroimage.2022.119323_bib0038","doi-asserted-by":"crossref","first-page":"e1000381","DOI":"10.1371\/journal.pcbi.1000381","article-title":"Functional brain networks develop from a \u201clocal to distributed\u201d organization","volume":"5","author":"Fair","year":"2009","journal-title":"PLoS Comput. Biol."},{"issue":"1","key":"10.1016\/j.neuroimage.2022.119323_bib0039","doi-asserted-by":"crossref","first-page":"12997","DOI":"10.1038\/s41598-018-31202-1","article-title":"Weighted stochastic block models of the human connectome across the life span","volume":"8","author":"Faskowitz","year":"2018","journal-title":"Sci. Rep."},{"issue":"1","key":"10.1016\/j.neuroimage.2022.119323_bib0040","doi-asserted-by":"crossref","first-page":"2435","DOI":"10.1038\/s41467-020-15631-z","article-title":"Dynamic reconfiguration of functional brain networks during working memory training","volume":"11","author":"Finc","year":"2020","journal-title":"Nat. Commun."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0041","series-title":"Fundamentals of brain network analysis","author":"Fornito","year":"2016"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0042","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.physrep.2016.09.002","article-title":"Community detection in networks: a user guide","volume":"659","author":"Fortunato","year":"2016","journal-title":"Phys. Rep."},{"issue":"12","key":"10.1016\/j.neuroimage.2022.119323_bib0043","doi-asserted-by":"crossref","first-page":"7821","DOI":"10.1073\/pnas.122653799","article-title":"Community structure in social and biological networks","volume":"99","author":"Girvan","year":"2002","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"7615","key":"10.1016\/j.neuroimage.2022.119323_bib0044","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1038\/nature18933","article-title":"A multi-modal parcellation of human cerebral cortex","volume":"536","author":"Glasser","year":"2016","journal-title":"Nature"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0045","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.neuroimage.2013.04.127","article-title":"The minimal preprocessing pipelines for the human connectome project","volume":"80","author":"Glasser","year":"2013","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.neuroimage.2022.119323_bib0046","doi-asserted-by":"crossref","first-page":"e58070","DOI":"10.1371\/journal.pone.0058070","article-title":"Exploring the morphospace of communication efficiency in complex networks","volume":"8","author":"Go\u00f1i","year":"2013","journal-title":"PLoS ONE"},{"issue":"2","key":"10.1016\/j.neuroimage.2022.119323_bib0047","doi-asserted-by":"crossref","first-page":"833","DOI":"10.1073\/pnas.1315529111","article-title":"Resting-brain functional connectivity predicted by analytic measures of network communication","volume":"111","author":"Go\u00f1i","year":"2014","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"4","key":"10.1016\/j.neuroimage.2022.119323_bib0048","doi-asserted-by":"crossref","first-page":"976","DOI":"10.1162\/netn_e_00167","article-title":"Editorial: network communication in the brain","volume":"4","author":"Graham","year":"2020","journal-title":"Netw. Neurosci."},{"issue":"2","key":"10.1016\/j.neuroimage.2022.119323_bib0049","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1016\/j.neuron.2016.06.005","article-title":"The rhesus monkey connectome predicts disrupted functional networks resulting from pharmacogenetic inactivation of the amygdala","volume":"91","author":"Grayson","year":"2016","journal-title":"Neuron"},{"issue":"7","key":"10.1016\/j.neuroimage.2022.119323_bib0050","doi-asserted-by":"crossref","first-page":"e159","DOI":"10.1371\/journal.pbio.0060159","article-title":"Mapping the structural core of human cerebral cortex","volume":"6","author":"Hagmann","year":"2008","journal-title":"PLoS Biol."},{"issue":"4","key":"10.1016\/j.neuroimage.2022.119323_bib0051","doi-asserted-by":"crossref","first-page":"1383","DOI":"10.1093\/cercor\/bhx335","article-title":"Reconfiguration of cortical networks in MDD uncovered by multiscale community detection with fmri","volume":"28","author":"He","year":"2018","journal-title":"Cereb. Cortex"},{"issue":"4","key":"10.1016\/j.neuroimage.2022.119323_bib0052","doi-asserted-by":"crossref","first-page":"e5226","DOI":"10.1371\/journal.pone.0005226","article-title":"Uncovering intrinsic modular organization of spontaneous brain activity in humans","volume":"4","author":"He","year":"2009","journal-title":"PLoS ONE"},{"issue":"10","key":"10.1016\/j.neuroimage.2022.119323_bib0053","doi-asserted-by":"crossref","first-page":"3127","DOI":"10.1002\/hbm.20737","article-title":"Functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain","volume":"30","author":"van den Heuvel","year":"2009","journal-title":"Hum. Brain Mapp."},{"issue":"7","key":"10.1016\/j.neuroimage.2022.119323_bib0054","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1038\/s41583-019-0177-6","article-title":"A cross-disorder connectome landscape of brain dysconnectivity","volume":"20","author":"van den Heuvel","year":"2019","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0055","doi-asserted-by":"crossref","unstructured":"Honey, C. J., Thivierge, J.-P., Sporns, O., 2010. Can structure predict function in the human brain?","DOI":"10.1016\/j.neuroimage.2010.01.071"},{"issue":"1","key":"10.1016\/j.neuroimage.2022.119323_bib0056","doi-asserted-by":"crossref","first-page":"3259","DOI":"10.1038\/s41598-018-21352-7","article-title":"Multiresolution consensus clustering in networks","volume":"8","author":"Jeub","year":"2018","journal-title":"Sci. Rep."},{"issue":"7","key":"10.1016\/j.neuroimage.2022.119323_bib0057","doi-asserted-by":"crossref","first-page":"e95","DOI":"10.1371\/journal.pcbi.0020095","article-title":"Nonoptimal component placement, but short processing paths, due to long-distance projections in neural systems","volume":"2","author":"Kaiser","year":"2006","journal-title":"PLoS Comput. Biol."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0058","doi-asserted-by":"crossref","unstructured":"Kaiser, R. H., Andrews-Hanna, J. R., Wager, T. D., Pizzagalli, D. A., 2015. Large-Scale network dysfunction in major depressive disorder.","DOI":"10.1001\/jamapsychiatry.2015.0071"},{"issue":"6","key":"10.1016\/j.neuroimage.2022.119323_bib0059","doi-asserted-by":"crossref","first-page":"2533","DOI":"10.1093\/cercor\/bhy123","article-title":"Spatial topography of individual-specific cortical networks predicts human cognition, personality, and emotion","volume":"29","author":"Kong","year":"2019","journal-title":"Cereb. Cortex"},{"issue":"19","key":"10.1016\/j.neuroimage.2022.119323_bib0060","doi-asserted-by":"crossref","first-page":"198701","DOI":"10.1103\/PhysRevLett.87.198701","article-title":"Efficient behavior of small-world networks","volume":"87","author":"Latora","year":"2001","journal-title":"Phys. Rev. Lett."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0061","doi-asserted-by":"crossref","unstructured":"Lella, E., Estrada, E., 2020. Communicability distance reveals hidden patterns of Alzheimer\u2019s disease.","DOI":"10.1101\/2020.04.07.029249"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0062","doi-asserted-by":"crossref","first-page":"117695","DOI":"10.1016\/j.neuroimage.2020.117695","article-title":"High-resolution connectomic fingerprints: mapping neural identity and behavior","volume":"229","author":"Mansour L","year":"2021","journal-title":"Neuroimage"},{"issue":"44","key":"10.1016\/j.neuroimage.2022.119323_bib0063","doi-asserted-by":"crossref","first-page":"12574","DOI":"10.1073\/pnas.1608282113","article-title":"Situating the default-mode network along a principal gradient of macroscale cortical organization","volume":"113","author":"Margulies","year":"2016","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0064","doi-asserted-by":"crossref","first-page":"118052","DOI":"10.1016\/j.neuroimage.2021.118052","article-title":"Comparing spatial null models for brain maps","volume":"236","author":"Markello","year":"2021","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0065","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.neuroimage.2015.02.001","article-title":"Predicting functional connectivity from structural connectivity via computational models using MRI: an extensive comparison study","volume":"111","author":"Mess\u00e9","year":"2015","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.neuroimage.2022.119323_bib0066","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1016\/j.neuroimage.2008.09.062","article-title":"Age-related changes in modular organization of human brain functional networks","volume":"44","author":"Meunier","year":"2009","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0067","doi-asserted-by":"crossref","first-page":"200","DOI":"10.3389\/fnins.2010.00200","article-title":"Modular and hierarchically modular organization of brain networks","volume":"4","author":"Meunier","year":"2010","journal-title":"Front. Neurosci."},{"issue":"6","key":"10.1016\/j.neuroimage.2022.119323_bib0068","doi-asserted-by":"crossref","first-page":"1518","DOI":"10.1016\/j.neuron.2015.05.035","article-title":"Cooperative and competitive spreading dynamics on the human connectome","volume":"86","author":"Mi\u0161i\u0107","year":"2015","journal-title":"Neuron"},{"issue":"7","key":"10.1016\/j.neuroimage.2022.119323_bib0069","doi-asserted-by":"crossref","first-page":"3285","DOI":"10.1093\/cercor\/bhw089","article-title":"Network-Level structure-Function relationships in human neocortex","volume":"26","author":"Mi\u0161i\u0107","year":"2016","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0070","doi-asserted-by":"crossref","unstructured":"Munkres, J., 1957. Algorithms for the assignment and transportation problems.","DOI":"10.1137\/0105003"},{"issue":"2 Pt 2","key":"10.1016\/j.neuroimage.2022.119323_bib0071","doi-asserted-by":"crossref","first-page":"026113","DOI":"10.1103\/PhysRevE.69.026113","article-title":"Finding and evaluating community structure in networks","volume":"69","author":"Newman","year":"2004","journal-title":"Phys. Rev. E Stat. Nonlin. Soft Matter Phys."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0109","unstructured":"Nguyen, X.V., 2022. The Adjusted Mutual Information (https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/33144-the-adjusted-mutual-information), MATLAB Central File Exchange. Retrieved January 26, 2022."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0072","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.neuroimage.2019.05.064","article-title":"System-level matching of structural and functional connectomes in the human brain","volume":"199","author":"Osmanl\u0131o\u011flu","year":"2019","journal-title":"Neuroimage"},{"issue":"5","key":"10.1016\/j.neuroimage.2022.119323_bib0073","doi-asserted-by":"crossref","first-page":"e3000284","DOI":"10.1371\/journal.pbio.3000284","article-title":"Microstructural and functional gradients are increasingly dissociated in transmodal cortices","volume":"17","author":"Paquola","year":"2019","journal-title":"PLoS Biol."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0074","doi-asserted-by":"crossref","first-page":"117429","DOI":"10.1016\/j.neuroimage.2020.117429","article-title":"Signal diffusion along connectome gradients and inter-hub routing differentially contribute to dynamic human brain function","volume":"224","author":"Park","year":"2021","journal-title":"Neuroimage"},{"issue":"6158","key":"10.1016\/j.neuroimage.2022.119323_bib0075","doi-asserted-by":"crossref","first-page":"1238411","DOI":"10.1126\/science.1238411","article-title":"Structural and functional brain networks: from connections to cognition","volume":"342","author":"Park","year":"2013","journal-title":"Science"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0076","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1016\/j.neuroimage.2017.12.073","article-title":"An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI","volume":"171","author":"Parkes","year":"2018","journal-title":"Neuroimage"},{"issue":"4","key":"10.1016\/j.neuroimage.2022.119323_bib0077","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1016\/j.neuron.2011.09.006","article-title":"Functional network organization of the human brain","volume":"72","author":"Power","year":"2011","journal-title":"Neuron"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0078","doi-asserted-by":"crossref","first-page":"116974","DOI":"10.1016\/j.neuroimage.2020.116974","article-title":"The modular organization of brain cortical connectivity across the human lifespan","volume":"218","author":"Puxeddu","year":"2020","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0079","doi-asserted-by":"crossref","unstructured":"Puxeddu, M. G., Faskowitz, J., Sporns, O., Astolfi, L., Betzel, R. F., 2022. Multi-modal and multi-subject modular organization of human brain networks.","DOI":"10.1101\/2022.01.26.477897"},{"issue":"4","key":"10.1016\/j.neuroimage.2022.119323_bib0080","doi-asserted-by":"crossref","first-page":"1118","DOI":"10.1073\/pnas.0706851105","article-title":"Maps of random walks on complex networks reveal community structure","volume":"105","author":"Rosvall","year":"2008","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"4 Pt 2","key":"10.1016\/j.neuroimage.2022.119323_bib0081","doi-asserted-by":"crossref","first-page":"046117","DOI":"10.1103\/PhysRevE.72.046117","article-title":"Searchability of networks","volume":"72","author":"Rosvall","year":"2005","journal-title":"Phys. Rev. E Stat. Nonlinear Soft Matter Phys."},{"issue":"3","key":"10.1016\/j.neuroimage.2022.119323_bib0082","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1016\/j.neuroimage.2009.10.003","article-title":"Complex network measures of brain connectivity: uses and interpretations","volume":"52","author":"Rubinov","year":"2010","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0083","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/j.neuroimage.2012.08.052","article-title":"An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data","volume":"64","author":"Satterthwaite","year":"2013","journal-title":"Neuroimage"},{"issue":"9","key":"10.1016\/j.neuroimage.2022.119323_bib0084","doi-asserted-by":"crossref","first-page":"3095","DOI":"10.1093\/cercor\/bhx179","article-title":"Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI","volume":"28","author":"Schaefer","year":"2018","journal-title":"Cereb. Cortex"},{"issue":"24","key":"10.1016\/j.neuroimage.2022.119323_bib0085","doi-asserted-by":"crossref","first-page":"6297","DOI":"10.1073\/pnas.1801351115","article-title":"Navigation of brain networks","volume":"115","author":"Seguin","year":"2018","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"1","key":"10.1016\/j.neuroimage.2022.119323_bib0086","doi-asserted-by":"crossref","first-page":"4289","DOI":"10.1038\/s41467-019-12201-w","article-title":"Inferring neural signalling directionality from undirected structural connectomes","volume":"10","author":"Seguin","year":"2019","journal-title":"Nat. Commun."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0087","doi-asserted-by":"crossref","first-page":"980","DOI":"10.1162\/netn_a_00161","article-title":"Network communication models improve the behavioral and functional predictive utility of the human structural connectome","volume":"4.4","author":"Seguin","year":"2020","journal-title":"Netw. Neurosci."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0088","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.neuroimage.2019.02.018","article-title":"Exploring the limits of network topology estimation using diffusion-based tractography and tracer studies in the macaque cortex","volume":"191","author":"Shen","year":"2019","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0089","doi-asserted-by":"crossref","first-page":"e31130","DOI":"10.7554\/eLife.31130","article-title":"The modulation of neural gain facilitates a transition between functional segregation and integration in the brain","volume":"7","author":"Shine","year":"2018","journal-title":"Elife"},{"issue":"3","key":"10.1016\/j.neuroimage.2022.119323_bib0090","doi-asserted-by":"crossref","first-page":"1924","DOI":"10.1016\/j.neuroimage.2012.06.005","article-title":"Anatomically-constrained tractography: improved diffusion MRI streamlines tractography through effective use of anatomical information","volume":"62","author":"Smith","year":"2012","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0091","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.neuroimage.2013.05.039","article-title":"Resting-state fMRI in the human connectome project","volume":"80","author":"Smith","year":"2013","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0092","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.neuroimage.2013.05.057","article-title":"Advances in diffusion MRI acquisition and processing in the human connectome project","volume":"80","author":"Sotiropoulos","year":"2013","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0093","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1146\/annurev-psych-122414-033634","article-title":"Modular brain networks","volume":"67","author":"Sporns","year":"2016","journal-title":"Annu. Rev. Psychol."},{"issue":"12","key":"10.1016\/j.neuroimage.2022.119323_bib0094","doi-asserted-by":"crossref","first-page":"1127","DOI":"10.1016\/j.tics.2018.09.007","article-title":"Spatial embedding imposes constraints on neuronal network architectures","volume":"22","author":"Stiso","year":"2018","journal-title":"Trends Cogn. Sci."},{"issue":"4","key":"10.1016\/j.neuroimage.2022.119323_bib0095","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.tics.2020.01.008","article-title":"Linking structure and function in macroscale brain networks","volume":"24","author":"Su\u00e1rez","year":"2020","journal-title":"Trends Cogn. Sci."},{"issue":"1","key":"10.1016\/j.neuroimage.2022.119323_bib0096","doi-asserted-by":"crossref","first-page":"476","DOI":"10.1109\/TNSE.2018.2878487","article-title":"Modeling communication processes in the human connectome through cooperative learning","volume":"7","author":"Tipnis","year":"2018","journal-title":"IEEE Trans. Network Sci. Eng."},{"issue":"4","key":"10.1016\/j.neuroimage.2022.119323_bib0097","doi-asserted-by":"crossref","first-page":"1459","DOI":"10.1016\/j.neuroimage.2007.02.016","article-title":"Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution","volume":"35","author":"Tournier","year":"2007","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0098","unstructured":"Tournier, J. D., Calamante, F., Connelly, A., 2010. Improved probabilistic streamlines tractography by 2nd order integration over fibre orientation distributions. In: Proceedings of the international society for magnetic resonance in medicine. Vol.\u00a018, p. 1670."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0099","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1002\/ima.22005","article-title":"MRtrix: diffusion tractography in crossing fiber regions","volume":"22.1","author":"Tournier","year":"2012","journal-title":"Int. J. Imaging Syst. Technol."},{"issue":"1 Pt 2","key":"10.1016\/j.neuroimage.2022.119323_bib0100","doi-asserted-by":"crossref","first-page":"016114","DOI":"10.1103\/PhysRevE.84.016114","article-title":"Narrow scope for resolution-limit-free community detection","volume":"84","author":"Traag","year":"2011","journal-title":"Phys. Rev. E Stat. Nonlinear Soft Matter Phys."},{"issue":"6","key":"10.1016\/j.neuroimage.2022.119323_bib0101","doi-asserted-by":"crossref","first-page":"926","DOI":"10.1007\/s10548-019-00744-6","article-title":"Towards a universal taxonomy of macro-scale functional human brain networks","volume":"32","author":"Uddin","year":"2019","journal-title":"Brain Topogr."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0102","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.neuroimage.2013.05.041","article-title":"The WU-Minn human connectome project: an overview","volume":"80","author":"Van Essen","year":"2013","journal-title":"Neuroimage"},{"issue":"1","key":"10.1016\/j.neuroimage.2022.119323_bib0103","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1093\/cercor\/bhx249","article-title":"Adolescent tuning of association cortex in human structural brain networks","volume":"28","author":"V\u00e1\u0161a","year":"2018","journal-title":"Cereb. Cortex"},{"issue":"42","key":"10.1016\/j.neuroimage.2022.119323_bib0104","doi-asserted-by":"crossref","first-page":"21219","DOI":"10.1073\/pnas.1903403116","article-title":"Gradients of structure-function tethering across neocortex","volume":"116","author":"V\u00e1zquez-Rodr\u00edguez","year":"2019","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"15","key":"10.1016\/j.neuroimage.2022.119323_bib0105","doi-asserted-by":"crossref","first-page":"5868","DOI":"10.1073\/pnas.1111738109","article-title":"Simple models of human brain functional networks","volume":"109","author":"V\u00e9rtes","year":"2012","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"4","key":"10.1016\/j.neuroimage.2022.119323_bib0106","doi-asserted-by":"crossref","first-page":"1072","DOI":"10.1162\/netn_a_00153","article-title":"Signal propagation via cortical hierarchies","volume":"4","author":"V\u00e9zquez-Rodr\u00edguez","year":"2020","journal-title":"Netw. Neurosci."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0107","doi-asserted-by":"crossref","unstructured":"Vinh, N. X., Epps, J., Bailey, J., 2009. Information theoretic measures for clusterings comparison. In: Proceedings of the 26th Annual International Conference on Machine Learning - ICML \u201909. ACM Press, New York, New York, USA.","DOI":"10.1145\/1553374.1553511"},{"issue":"1","key":"10.1016\/j.neuroimage.2022.119323_bib0108","doi-asserted-by":"crossref","first-page":"eaat7854","DOI":"10.1126\/sciadv.aat7854","article-title":"Inversion of a large-scale circuit model reveals a cortical hierarchy in the dynamic resting human brain","volume":"5","author":"Wang","year":"2019","journal-title":"Sci. Adv."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0111","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.neuroimage.2016.05.047","article-title":"Correction for diffusion MRI fibre tracking biases: the consequences for structural connectomic metrics","volume":"142","author":"Yeh","year":"2016","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.neuroimage.2022.119323_bib0112","doi-asserted-by":"crossref","first-page":"1125","DOI":"10.1152\/jn.00338.2011","article-title":"The organization of the human cerebral cortex estimated by intrinsic functional connectivity","volume":"106","author":"Yeo","year":"2011","journal-title":"J. Neurophysiol."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0113","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.neuroimage.2016.06.035","article-title":"Connectome sensitivity or specificity: which is more important?","volume":"142","author":"Zalesky","year":"2016","journal-title":"Neuroimage"},{"issue":"1","key":"10.1016\/j.neuroimage.2022.119323_bib0114","doi-asserted-by":"crossref","first-page":"2053","DOI":"10.1038\/s41467-022-29770-y","article-title":"Local structure-function relationships in human brain networks across the lifespan","volume":"13","author":"Zamani Esfahlani","year":"2022","journal-title":"Nat. Commun."},{"key":"10.1016\/j.neuroimage.2022.119323_bib0115","doi-asserted-by":"crossref","first-page":"118607","DOI":"10.1016\/j.neuroimage.2021.118607","article-title":"Modularity maximization as a flexible and generic framework for brain network exploratory analysis","volume":"244","author":"Zamani Esfahlani","year":"2021","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119323_bib0116","doi-asserted-by":"crossref","first-page":"118870","DOI":"10.1016\/j.neuroimage.2021.118870","article-title":"Quantitative mapping of the brain\u2019s structural connectivity using diffusion MRI tractography: a review","volume":"249","author":"Zhang","year":"2022","journal-title":"Neuroimage"}],"container-title":["NeuroImage"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811922004426?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811922004426?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T16:08:09Z","timestamp":1762358889000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811922004426"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8]]},"references-count":116,"alternative-id":["S1053811922004426"],"URL":"https:\/\/doi.org\/10.1016\/j.neuroimage.2022.119323","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2022.02.18.480871","asserted-by":"object"}]},"ISSN":["1053-8119"],"issn-type":[{"value":"1053-8119","type":"print"}],"subject":[],"published":{"date-parts":[[2022,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Network communication models narrow the gap between the modular organization of structural and functional brain networks","name":"articletitle","label":"Article Title"},{"value":"NeuroImage","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neuroimage.2022.119323","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"119323"}}