{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T21:46:45Z","timestamp":1783547205413,"version":"3.55.0"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"S6","content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2017,6]]},"DOI":"10.1186\/s12859-017-1635-7","type":"journal-article","created":{"date-parts":[[2017,6,6]],"date-time":"2017-06-06T15:48:19Z","timestamp":1496764099000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["An extensive assessment of network alignment algorithms for comparison of brain connectomes"],"prefix":"10.1186","volume":"18","author":[{"given":"Marianna","family":"Milano","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pietro Hiram","family":"Guzzi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Olga","family":"Tymofieva","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Duan","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christofer","family":"Hess","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pierangelo","family":"Veltri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mario","family":"Cannataro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,6,6]]},"reference":[{"issue":"6","key":"1635_CR1","doi-asserted-by":"crossref","first-page":"1359","DOI":"10.1016\/j.neuron.2015.02.014","volume":"85","author":"R Kiani","year":"2015","unstructured":"Kiani R, Cueva CJ, Reppas JB, Peixoto D, Ryu SI, Newsome WT. Natural grouping of neural responses reveals spatially segregated clusters in prearcuate cortex. Neuron. 2015; 85(6):1359\u201373.","journal-title":"Neuron"},{"issue":"6","key":"1635_CR2","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1038\/nmeth.2451","volume":"10","author":"CI Bargmann","year":"2013","unstructured":"Bargmann CI, Marder E. From the connectome to brain function. Nat Methods. 2013; 10(6):483\u201390.","journal-title":"Nat Methods"},{"key":"1635_CR3","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.parkreldis.2015.12.016","volume":"24","author":"A Lenka","year":"2016","unstructured":"Lenka A, Naduthota RM, Jha M, Panda R, Prajapati A, Jhunjhunwala K, Saini J, Yadav R, Bharath RD, Pal PK. Freezing of gait in parkinson\u2019s disease is associated with altered functional brain connectivity. Parkinsonism Relat Disord. 2016; 24:100\u20136.","journal-title":"Parkinsonism Relat Disord"},{"issue":"2","key":"1635_CR4","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1176\/ajp.2007.164.2.318","volume":"164","author":"MB Stein","year":"2007","unstructured":"Stein MB, Simmons AN, Feinstein JS, Paulus MP. Increased amygdala and insula activation during emotion processing in anxiety-prone subjects. Am J Psychiatr. 2007; 164(2):318\u201327.","journal-title":"Am J Psychiatr"},{"issue":"4","key":"1635_CR5","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1371\/journal.pcbi.0010042","volume":"1","author":"O Sporns","year":"2005","unstructured":"Sporns O, Tononi G, K\u00f6tter R. The human connectome: a structural description of the human brain. PLoS Comput Biol. 2005; 1(4):42.","journal-title":"PLoS Comput Biol"},{"issue":"5","key":"1635_CR6","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1089\/brain.2011.0062","volume":"1","author":"M Xia","year":"2011","unstructured":"Xia M, He Y. Magnetic resonance imaging and graph theoretical analysis of complex brain networks in neuropsychiatric disorders. Brain Connectivity. 2011; 1(5):349\u201365.","journal-title":"Brain Connectivity"},{"issue":"1","key":"1635_CR7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1227\/NEU.0b013e318258e9ff","volume":"71","author":"AW Toga","year":"2012","unstructured":"Toga AW, Clark KA, Thompson PM, Shattuck DW, Van Horn JD. Mapping the human connectome. Neurosurgery. 2012; 71(1):1.","journal-title":"Neurosurgery"},{"issue":"1","key":"1635_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1824795.1824796","volume":"43","author":"M Cannataro","year":"2010","unstructured":"Cannataro M, Guzzi PH, Veltri P. Protein-to-protein interactions: Technologies, databases, and algorithms. ACM Comput Surv (CSUR). 2010; 43(1):1.","journal-title":"ACM Comput Surv (CSUR)"},{"issue":"3","key":"1635_CR9","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1007\/s11005-006-0123-1","volume":"78","author":"A Lesne","year":"2006","unstructured":"Lesne A. Complex networks: from graph theory to biology. Lett Math Phys. 2006; 78(3):235\u201362.","journal-title":"Lett Math Phys"},{"issue":"3","key":"1635_CR10","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1038\/nrn2575","volume":"10","author":"E Bullmore","year":"2009","unstructured":"Bullmore E, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci. 2009; 10(3):186\u201398.","journal-title":"Nat Rev Neurosci"},{"issue":"7571","key":"1635_CR11","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1038\/526147a","volume":"526","author":"A Dance","year":"2015","unstructured":"Dance A. Neuroscience: Connectomes make the map. Nature. 2015; 526(7571):147\u20139.","journal-title":"Nature"},{"issue":"4","key":"1635_CR12","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1109\/MSP.2010.936775","volume":"27","author":"PT Yap","year":"2010","unstructured":"Yap PT, Wu G, Shen D. Human brain connectomics: networks, techniques, and applications [life sciences]. IEEE Signal Process Mag. 2010; 27(4):131\u20134.","journal-title":"IEEE Signal Process Mag"},{"issue":"5","key":"1635_CR13","doi-asserted-by":"crossref","first-page":"96196","DOI":"10.1371\/journal.pone.0096196","volume":"9","author":"O Tymofiyeva","year":"2014","unstructured":"Tymofiyeva O, Ziv E, Barkovich AJ, Hess CP, Xu D. Brain without anatomy: construction and comparison of fully network-driven structural mri connectomes. PloS ONE. 2014; 9(5):96196.","journal-title":"PloS ONE"},{"issue":"6","key":"1635_CR14","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1016\/j.cell.2005.08.029","volume":"122","author":"U Stelzl","year":"2005","unstructured":"Stelzl U, Worm U, Lalowski M, Haenig C, Brembeck FH, Goehler H, Stroedicke M, Zenkner M, Schoenherr A, Koeppen S, et al.A human protein-protein interaction network: a resource for annotating the proteome. Cell. 2005; 122(6):957\u201368.","journal-title":"Cell"},{"issue":"6","key":"1635_CR15","doi-asserted-by":"crossref","first-page":"38107","DOI":"10.1371\/journal.pone.0038107","volume":"7","author":"G Ciriello","year":"2012","unstructured":"Ciriello G, Mina M, Guzzi PH, Cannataro M, Guerra C. AlignNemo: A Local Network Alignment Method to Integrate Homology and Topology. PloS ONE. 2012; 7(6):38107. doi: 10.1371\/journal.pone.0038107 .","journal-title":"PloS ONE"},{"key":"1635_CR16","doi-asserted-by":"crossref","first-page":"2931","DOI":"10.1093\/bioinformatics\/btu409","volume":"30","author":"V Saraph","year":"2014","unstructured":"Saraph V, Milenkovi\u0107 T. MAGNA: Maximizing accuracy in global network alignment. Bioinformatics. 2014; 30:2931\u201340. doi: 10.1093\/bioinformatics\/btu409 .","journal-title":"Bioinformatics"},{"issue":"13","key":"1635_CR17","doi-asserted-by":"crossref","first-page":"1654","DOI":"10.1093\/bioinformatics\/btt202","volume":"29","author":"B Neyshabur","year":"2013","unstructured":"Neyshabur B, Khadem A, Hashemifar S, Arab SS. Netal: a new graph-based method for global alignment of protein\u2013protein interaction networks. Bioinformatics. 2013; 29(13):1654\u201362.","journal-title":"Bioinformatics"},{"issue":"23","key":"1635_CR18","doi-asserted-by":"crossref","first-page":"3105","DOI":"10.1093\/bioinformatics\/bts592","volume":"28","author":"R Patro","year":"2012","unstructured":"Patro R, Kingsford C. Global network alignment using multiscale spectral signatures. Bioinformatics. 2012; 28(23):3105\u201314.","journal-title":"Bioinformatics"},{"key":"1635_CR19","volume-title":"OASIcs-OpenAccess Series in Informatics","author":"R Ibragimov","year":"2013","unstructured":"Ibragimov R, Malek M, Guo J, Baumbach J. Gedevo: an evolutionary graph edit distance algorithm for biological network alignment. In: OASIcs-OpenAccess Series in Informatics. Germany: Dagsthul Publishing: 2013. Schloss Dagstuhl-Leibniz- Zentrum fuer Informatik."},{"key":"1635_CR20","volume-title":"International Workshop on Algorithms in Bioinformatics","author":"Y Sun","year":"2015","unstructured":"Sun Y, Crawford J, Tang J, Milenkovic T. Simultaneous optimization of both node and edge conservation in network alignment via wave. In: International Workshop on Algorithms in Bioinformatics. Netherland: Springer: 2015. p. 16\u201339."},{"key":"1635_CR21","volume-title":"IAPR International Conference on Pattern Recognition in Bioinformatics","author":"M El-Kebir","year":"2011","unstructured":"El-Kebir M, Heringa J, Klau GW. Lagrangian relaxation applied to sparse global network alignment. In: IAPR International Conference on Pattern Recognition in Bioinformatics. Netherlands: Springer: 2011. p. 225\u201336."},{"key":"1635_CR22","doi-asserted-by":"crossref","first-page":"167","DOI":"10.3389\/fnins.2014.00167","volume":"8","author":"B Thirion","year":"2014","unstructured":"Thirion B, Varoquaux G, Dohmatob E, Poline JB. Which fmri clustering gives good brain parcellations?Front Neurosci. 2014; 8:167.","journal-title":"Front Neurosci"},{"key":"1635_CR23","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1016\/j.neuroimage.2013.04.087","volume":"80","author":"A Fornito","year":"2013","unstructured":"Fornito A, Zalesky A, Breakspear M. Graph analysis of the human connectome: promise, progress, and pitfalls. Neuroimage. 2013; 80:426\u201344.","journal-title":"Neuroimage"},{"key":"1635_CR24","doi-asserted-by":"crossref","first-page":"19","DOI":"10.3389\/fnhum.2011.00019","volume":"5","author":"S Geyer","year":"2011","unstructured":"Geyer S, Weiss M, Reimann K, Lohmann G, Turner R. Microstructural parcellation of the human cerebral cortex\u2013from brodmann\u2019s post-mortem map to in vivo mapping with high-field magnetic resonance imaging. Front Hum Neurosci. 2011; 5:19.","journal-title":"Front Hum Neurosci"},{"key":"1635_CR25","doi-asserted-by":"crossref","unstructured":"Guzzi PH, Milenkov\u00ecc T. Survey of local and global biological network alignment: the need to reconcile the two sides of the same coin,Briefings in Bioinformatics: Oxford University Press UK; 2017. Epub ahead of print. https:\/\/doi.org\/10.1093\/bib\/bbw132 .","DOI":"10.1093\/bib\/bbw132"},{"key":"1635_CR26","volume-title":"Improving the robustness of local network alignment: design and extensive assessment of a markov clustering-based approach, IEEE\/ACM Transactions on Computational Biology and Bioinformatics (TCBB),11 3","author":"M Mina","year":"2014","unstructured":"Mina M, Guzzi PH. Improving the robustness of local network alignment: design and extensive assessment of a markov clustering-based approach, IEEE\/ACM Transactions on Computational Biology and Bioinformatics (TCBB),11 3. Piscataway: IEEE Computer Society Press; 2014."},{"issue":"20","key":"1635_CR27","doi-asserted-by":"crossref","first-page":"2931","DOI":"10.1093\/bioinformatics\/btu409","volume":"30","author":"V Saraph","year":"2014","unstructured":"Saraph V, Milenkovi\u0107 T. Magna: maximizing accuracy in global network alignment. Bioinformatics. 2014; 30(20):2931\u201340.","journal-title":"Bioinformatics"},{"issue":"1","key":"1635_CR28","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13015-015-0050-8","volume":"10","author":"J Crawford","year":"2015","unstructured":"Crawford J, Sun Y, Milenkovi\u0107 T. Fair evaluation of global network aligners. Algorithms Mol Biol. 2015; 10(1):1.","journal-title":"Algorithms Mol Biol"},{"issue":"10","key":"1635_CR29","doi-asserted-by":"crossref","first-page":"1390","DOI":"10.1093\/bioinformatics\/btr127","volume":"27","author":"O Kuchaiev","year":"2011","unstructured":"Kuchaiev O, Pr\u017eulj N. Integrative network alignment reveals large regions of global network similarity in yeast and human. Bioinformatics. 2011; 27(10):1390\u20136.","journal-title":"Bioinformatics"},{"issue":"14","key":"1635_CR30","doi-asserted-by":"crossref","first-page":"2409","DOI":"10.1093\/bioinformatics\/btv161","volume":"31","author":"V Vijayan","year":"2015","unstructured":"Vijayan V, Saraph V, Milenkovi\u0107 T. Magna++: Maximizing accuracy in global network alignment via both node and edge conservation. Bioinformatics. 2015; 31(14):2409\u201311.","journal-title":"Bioinformatics"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-017-1635-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,25]],"date-time":"2019-09-25T17:33:31Z","timestamp":1569432811000},"score":1,"resource":{"primary":{"URL":"http:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/s12859-017-1635-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6]]},"references-count":30,"journal-issue":{"issue":"S6","published-print":{"date-parts":[[2017,6]]}},"alternative-id":["1635"],"URL":"https:\/\/doi.org\/10.1186\/s12859-017-1635-7","relation":{},"ISSN":["1471-2105"],"issn-type":[{"value":"1471-2105","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,6]]},"article-number":"235"}}