{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T16:08:03Z","timestamp":1772726883411,"version":"3.50.1"},"reference-count":54,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2017,11,1]],"date-time":"2017-11-01T00:00:00Z","timestamp":1509494400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["P41EB015902"],"award-info":[{"award-number":["P41EB015902"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"European Research Council under the European Union's Seventh Framework Programme","award":["319456"],"award-info":[{"award-number":["319456"]}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage"],"published-print":{"date-parts":[[2017,11]]},"DOI":"10.1016\/j.neuroimage.2017.09.005","type":"journal-article","created":{"date-parts":[[2017,9,6]],"date-time":"2017-09-06T23:19:32Z","timestamp":1504739972000},"page":"226-248","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":15,"special_numbering":"C","title":["A flexible graphical model for multi-modal parcellation of the cortex"],"prefix":"10.1016","volume":"162","author":[{"given":"Sarah","family":"Parisot","sequence":"first","affiliation":[]},{"given":"Ben","family":"Glocker","sequence":"additional","affiliation":[]},{"given":"Sofia Ira","family":"Ktena","sequence":"additional","affiliation":[]},{"given":"Salim","family":"Arslan","sequence":"additional","affiliation":[]},{"given":"Markus D.","family":"Schirmer","sequence":"additional","affiliation":[]},{"given":"Daniel","family":"Rueckert","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neuroimage.2017.09.005_bib1","doi-asserted-by":"crossref","first-page":"1061","DOI":"10.1016\/j.neuroimage.2007.02.037","article-title":"Cytoarchitecture of the cerebral cortexmore than localization","volume":"37","author":"Amunts","year":"2007","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib2","series-title":"OpenGM: a C++ Library for Discrete Graphical Models","author":"Andres","year":"2012"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib3","article-title":"Human brain mapping: a systematic comparison of parcellation methods for the human cerebral cortex","author":"Arslan","year":"2017","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib4","series-title":"Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-state FMRI","first-page":"85","author":"Arslan","year":"2015"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib5","doi-asserted-by":"crossref","first-page":"e784","DOI":"10.7717\/peerj.784","article-title":"Parcellating connectivity in spatial maps","volume":"3","author":"Baldassano","year":"2015","journal-title":"PeerJ"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib6","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.neuroimage.2013.05.033","article-title":"Function in the human connectome: task-fMRI and individual differences in behavior","volume":"80","author":"Barch","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib7","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.neuroimage.2006.09.018","article-title":"Probabilistic diffusion tractography with multiple fibre orientations: what can we gain?","volume":"34","author":"Behrens","year":"2007","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib8","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/j.neuroimage.2013.03.024","article-title":"Spatially constrained hierarchical parcellation of the brain with resting-state fMRI","volume":"76","author":"Blumensath","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib9","doi-asserted-by":"crossref","first-page":"e7200","DOI":"10.1371\/journal.pone.0007200","article-title":"The brain atlas concordance problem: quantitative comparison of anatomical parcellations","volume":"4","author":"Bohland","year":"2009","journal-title":"PLoS ONE"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib10","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1007\/s11263-006-7934-5","article-title":"Graph cuts and efficient N-D image segmentation","volume":"70","author":"Boykov","year":"2006","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.neuroimage.2017.09.005_bib11","series-title":"Brodmann's Localisation in the Cerebral Cortex","author":"Brodmann","year":"2005"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib12","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.neuroimage.2008.01.066","article-title":"Defining functional areas in individual human brains using resting functional connectivity MRI","volume":"41","author":"Cohen","year":"2008","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib13","doi-asserted-by":"crossref","first-page":"1914","DOI":"10.1002\/hbm.21333","article-title":"A\u00a0whole brain fMRI atlas generated via spatially constrained spectral clustering","volume":"33","author":"Craddock","year":"2012","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.neuroimage.2017.09.005_bib14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neuroimage.2010.06.010","article-title":"Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature","volume":"53","author":"Destrieux","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib15","doi-asserted-by":"crossref","first-page":"4771","DOI":"10.1002\/hbm.22933","article-title":"Connectivity-based parcellation: critique and implications: connectivity-based parcellation","volume":"36","author":"Eickhoff","year":"2015","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.neuroimage.2017.09.005_bib16","doi-asserted-by":"crossref","first-page":"1973","DOI":"10.1093\/cercor\/bhm225","article-title":"Cortical folding patterns and predicting cytoarchitecture","volume":"18","author":"Fischl","year":"2008","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib17","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1109\/TPAMI.1984.4767596","article-title":"Stochastic relaxation, gibbs distributions, and the bayesian restoration of images","author":"Geman","year":"1984","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. PAMI-6"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib18","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1038\/nature18933","article-title":"A\u00a0multi-modal parcellation of human cerebral cortex","volume":"536","author":"Glasser","year":"2016","journal-title":"Nature"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib19","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"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib20","doi-asserted-by":"crossref","first-page":"731","DOI":"10.1016\/j.media.2008.03.006","article-title":"Dense image registration through MRFs and efficient linear programming*","volume":"12","author":"Glocker","year":"2008","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.neuroimage.2017.09.005_bib21","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1093\/cercor\/bhu239","article-title":"Generation and evaluation of a cortical area parcellation from resting-state correlations","volume":"26","author":"Gordon","year":"2016","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib22","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."},{"key":"10.1016\/j.neuroimage.2017.09.005_bib23","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.neuroimage.2014.11.008","article-title":"GraSP: geodesic graph-based segmentation with shape priors for the functional parcellation of the cortex","volume":"106","author":"Honnorat","year":"2015","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib24","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1007\/BF01908075","article-title":"Comparing partitions","volume":"2","author":"Hubert","year":"1985","journal-title":"J.\u00a0Classif."},{"key":"10.1016\/j.neuroimage.2017.09.005_bib25","doi-asserted-by":"crossref","first-page":"1846","DOI":"10.1002\/mrm.24204","article-title":"Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems","volume":"68","author":"Jbabdi","year":"2012","journal-title":"Magnetic Reson. Med."},{"key":"10.1016\/j.neuroimage.2017.09.005_bib26","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.neuroimage.2008.08.044","article-title":"Multiple-subjects connectivity-based parcellation using hierarchical dirichlet process mixture models","volume":"44","author":"Jbabdi","year":"2009","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib27","first-page":"30","article-title":"Measuring uncertainty in graph cut solutions \u2013 efficiently computing min-marginal energies using dynamic graph cuts","volume":"vol. 3952","author":"Kohli","year":"2006"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib28","doi-asserted-by":"crossref","first-page":"1436","DOI":"10.1109\/TPAMI.2007.1061","article-title":"Approximate labeling via graph cuts based on linear programming","volume":"29","author":"Komodakis","year":"2007","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neuroimage.2017.09.005_bib29","series-title":"Advances in Neural Information Processing Systems 24","first-page":"109","article-title":"Efficient inference in fully connected CRFs with gaussian edge potentials","author":"Kr\u00e4henb\u00fchl","year":"2011"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib30","doi-asserted-by":"crossref","first-page":"1085","DOI":"10.1016\/j.neuroimage.2009.12.106","article-title":"Discovering structure in the space of fMRI selectivity profiles","volume":"50","author":"Lashkari","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib31","doi-asserted-by":"crossref","first-page":"1392","DOI":"10.1109\/TPAMI.2009.143","article-title":"Fusion moves for markov random field optimization","volume":"32","author":"Lempitsky","year":"2010","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neuroimage.2017.09.005_bib32","series-title":"Tractography-based Connectomes Are Dominated by False-positive Connections","author":"Maier-Hein","year":"2016"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib33","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1207\/s15327906mbr2104_5","article-title":"A\u00a0study of the comparability of external criteria for hierarchical cluster analysis","volume":"21","author":"Milligan","year":"1986","journal-title":"Multivar. Behav. Res."},{"key":"10.1016\/j.neuroimage.2017.09.005_bib34","doi-asserted-by":"crossref","first-page":"5000","DOI":"10.1002\/hbm.22528","article-title":"A\u00a0hierarchical method for whole-brain connectivity-based parcellation: whole-Brain Connectivity-Based Parcellation","volume":"35","author":"Moreno-Dominguez","year":"2014","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.neuroimage.2017.09.005_bib35","first-page":"707","article-title":"A\u00a0novel sparse graphical approach for multimodal brain connectivity inference","volume":"vol. 15","author":"Ng","year":"2012"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib36","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.neuroimage.2016.05.035","article-title":"Group-wise parcellation of the cortex through multi-scale spectral clustering","volume":"136","author":"Parisot","year":"2016","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib37","first-page":"148","article-title":"GraMPa: graph-based multi-modal parcellation of the cortex using fusion moves","volume":"vol. 9900","author":"Parisot","year":"2016"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib38","first-page":"165","article-title":"A\u00a0continuous flow-maximisation approach to connectivity-driven cortical parcellation","volume":"vol. 9351","author":"Parisot","year":"2015"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib39","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1038\/nrn893","article-title":"The anatomical basis of functional localization in the cortex","volume":"3","author":"Passingham","year":"2002","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.neuroimage.2017.09.005_bib40","doi-asserted-by":"crossref","first-page":"1302","DOI":"10.1016\/j.neuroimage.2010.05.045","article-title":"Network-level analysis of cortical thickness of the epileptic brain","volume":"52","author":"Raj","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib41","doi-asserted-by":"crossref","first-page":"414","DOI":"10.1016\/j.neuroimage.2014.05.069","article-title":"MSM: a new flexible framework for Multimodal Surface Matching","volume":"100","author":"Robinson","year":"2014","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib42","series-title":"Optimizing Binary MRFs via Extended Roof Duality","first-page":"1","author":"Rother","year":"2007"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib43","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.neuroimage.2012.09.067","article-title":"A\u00a0parcellation scheme based on von Mises-Fisher distributions and Markov random fields for segmenting brain regions using resting-state fMRI","volume":"65","author":"Ryali","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib44","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1016\/j.neuroimage.2013.11.046","article-title":"Automatic denoising of functional mri data: combining independent component analysis and hierarchical fusion of classifiers","volume":"90","author":"Salimi-Khorshidi","year":"2014","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib45","doi-asserted-by":"crossref","first-page":"1332","DOI":"10.1093\/cercor\/bhi016","article-title":"Neurophysiological architecture of functional magnetic resonance images of human brain","volume":"15","author":"Salvador","year":"2004","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib46","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1016\/j.neuroimage.2013.05.081","article-title":"Groupwise whole-brain parcellation from resting-state fMRI data for network node identification","volume":"82","author":"Shen","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib47","doi-asserted-by":"crossref","first-page":"738","DOI":"10.1016\/j.neuroimage.2014.07.051","article-title":"Group-PCA for very large fMRI datasets","volume":"101","author":"Smith","year":"2014","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib48","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.2017.09.005_bib49","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1111\/j.1749-6632.2010.05888.x","article-title":"The human connectome: a complex network","volume":"1224","author":"Sporns","year":"2011","journal-title":"Ann. N. Y. Acad. Sci."},{"key":"10.1016\/j.neuroimage.2017.09.005_bib50","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":"Thomas Yeo","year":"2011","journal-title":"J.\u00a0Neurophysiol."},{"key":"10.1016\/j.neuroimage.2017.09.005_bib51","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1006\/nimg.2001.0978","article-title":"Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain","volume":"15","author":"Tzourio-Mazoyer","year":"2002","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib52","series-title":"Mapping Connections in Humans and Non-human Primates, in: Diffusion MRI","first-page":"337","author":"Van Essen","year":"2014"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib53","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1109\/TMI.2011.2166083","article-title":"Joint modeling of anatomical and functional connectivity for population studies","volume":"31","author":"Venkataraman","year":"2012","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.neuroimage.2017.09.005_bib54","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1038\/nrn2776","article-title":"Centenary of Brodmann's map \u2014 conception and fate","volume":"11","author":"Zilles","year":"2010","journal-title":"Nat. Rev. Neurosci."}],"container-title":["NeuroImage"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811917307437?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811917307437?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2018,9,17]],"date-time":"2018-09-17T18:48:20Z","timestamp":1537210100000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811917307437"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11]]},"references-count":54,"alternative-id":["S1053811917307437"],"URL":"https:\/\/doi.org\/10.1016\/j.neuroimage.2017.09.005","relation":{},"ISSN":["1053-8119"],"issn-type":[{"value":"1053-8119","type":"print"}],"subject":[],"published":{"date-parts":[[2017,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A flexible graphical model for multi-modal parcellation of the cortex","name":"articletitle","label":"Article Title"},{"value":"NeuroImage","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neuroimage.2017.09.005","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2017 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}