{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:50:28Z","timestamp":1740099028978,"version":"3.37.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319775371"},{"type":"electronic","value":"9783319775388"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-77538-8_2","type":"book-chapter","created":{"date-parts":[[2018,3,7]],"date-time":"2018-03-07T11:33:17Z","timestamp":1520422397000},"page":"21-32","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Task Classification Using Topological Graph Features for Functional M\/EEG Brain Connectomics"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1260-9775","authenticated-orcid":false,"given":"Javier","family":"Del Ser","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7863-9910","authenticated-orcid":false,"given":"Eneko","family":"Osaba","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miren Nekane","family":"Bilbao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,3,8]]},"reference":[{"key":"2_CR1","volume-title":"Principles of Neural Science","author":"ER Kandel","year":"2000","unstructured":"Kandel, E.R., Schwartz, J.H., Jessell, T.M., Siegelbaum, S.A., Hudspeth, A.J., et al.: Principles of Neural Science, vol. 4. McGraw-hill, New York (2000)"},{"issue":"1481","key":"2_CR2","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1098\/rstb.2007.2087","volume":"362","author":"DL Schacter","year":"2007","unstructured":"Schacter, D.L., Addis, D.R.: The cognitive neuroscience of constructive memory: remembering the past and imagining the future. Philos. Trans. R. Soc. B: Biol. Sci. 362(1481), 773\u2013786 (2007)","journal-title":"Philos. Trans. R. Soc. B: Biol. Sci."},{"issue":"3","key":"2_CR3","first-page":"145","volume":"28","author":"H Markram","year":"2013","unstructured":"Markram, H.: Seven challenges for neuroscience. Funct. Neurol. 28(3), 145 (2013)","journal-title":"Funct. Neurol."},{"issue":"4","key":"2_CR4","doi-asserted-by":"crossref","first-page":"e42","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. 1(4), e42 (2005)","journal-title":"PLoS Comput. Biol."},{"issue":"1","key":"2_CR5","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.tics.2016.10.005","volume":"21","author":"XN Zuo","year":"2017","unstructured":"Zuo, X.N., He, Y., Betzel, R.F., Colcombe, S., Sporns, O., Milham, M.P.: Human connectomics across the life span. Trends Cogn. Sci. 21(1), 32\u201345 (2017)","journal-title":"Trends Cogn. Sci."},{"issue":"4","key":"2_CR6","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1109\/MSP.2010.936775","volume":"27","author":"PT Yap","year":"2010","unstructured":"Yap, P.T., Wu, G., Shen, D.: Human brain connectomics: networks, techniques, and applications [life sciences]. IEEE Sig. Process. Mag. 27(4), 131\u2013134 (2010)","journal-title":"IEEE Sig. Process. Mag."},{"issue":"5","key":"2_CR7","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1038\/nn.3690","volume":"17","author":"O Sporns","year":"2014","unstructured":"Sporns, O.: Contributions and challenges for network models in cognitive neuroscience. Nat. Neurosci. 17(5), 652\u2013660 (2014)","journal-title":"Nat. Neurosci."},{"key":"2_CR8","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 80, 426\u2013444 (2013)","journal-title":"Neuroimage"},{"key":"2_CR9","doi-asserted-by":"crossref","unstructured":"Vega-Pons, S., Avesani, P.: Brain decoding via graph kernels. In: International Workshop on Pattern Recognition in Neuroimaging (PRNI), 2013, pp. 136\u2013139. IEEE (2013)","DOI":"10.1109\/PRNI.2013.43"},{"key":"2_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1007\/978-3-642-35428-1_23","volume-title":"Machine Learning in Medical Imaging","author":"S Takerkart","year":"2012","unstructured":"Takerkart, S., Auzias, G., Thirion, B., Sch\u00f6n, D., Ralaivola, L.: Graph-based inter-subject classification of local fMRI patterns. In: Wang, F., Shen, D., Yan, P., Suzuki, K. (eds.) MLMI 2012. LNCS, vol. 7588, pp. 184\u2013192. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-35428-1_23"},{"issue":"3","key":"2_CR11","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1109\/MSP.2012.2233865","volume":"30","author":"J Richiardi","year":"2013","unstructured":"Richiardi, J., Achard, S., Bunke, H., Van De Ville, D.: Machine learning with brain graphs: predictive modeling approaches for functional imaging in systems neuroscience. IEEE Sig. Process. Mag. 30(3), 58\u201370 (2013)","journal-title":"IEEE Sig. Process. Mag."},{"key":"2_CR12","doi-asserted-by":"crossref","unstructured":"Richiardi, J., Ng, B.: Recent advances in supervised learning for brain graph classification. In: Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE, pp. 907\u2013910. IEEE (2013)","DOI":"10.1109\/GlobalSIP.2013.6737039"},{"key":"2_CR13","doi-asserted-by":"crossref","first-page":"1102","DOI":"10.1016\/j.neuroimage.2015.04.046","volume":"124","author":"MR Hodge","year":"2016","unstructured":"Hodge, M.R., Horton, W., Brown, T., Herrick, R., Olsen, T., Hileman, M.E., McKay, M., Archie, K.A., Cler, E., Harms, M.P., et al.: Connectomedb \u2013 sharing human brain connectivity data. Neuroimage 124, 1102\u20131107 (2016)","journal-title":"Neuroimage"},{"key":"2_CR14","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1111\/j.2517-6161.1974.tb00994.x","volume":"36","author":"M Stone","year":"1974","unstructured":"Stone, M.: Cross-validatory choice and assessment of statistical predictions. J. Roy. Stat. Soc. Ser. B (Methodological) 36, 111\u2013147 (1974)","journal-title":"J. Roy. Stat. Soc. Ser. B (Methodological)"},{"issue":"1","key":"2_CR15","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1186\/1471-2105-7-91","volume":"7","author":"S Varma","year":"2006","unstructured":"Varma, S., Simon, R.: Bias in error estimation when using cross-validation for model selection. BMC Bioinf. 7(1), 91 (2006)","journal-title":"BMC Bioinf."},{"issue":"1","key":"2_CR16","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1177\/001316446002000104","volume":"20","author":"J Cohen","year":"1960","unstructured":"Cohen, J.: A coefficient of agreement for nominal scales. Educ. Psychol. Measur. 20(1), 37\u201346 (1960)","journal-title":"Educ. Psychol. Measur."},{"issue":"1","key":"2_CR17","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1109\/TPAMI.2007.250598","volume":"29","author":"S Yan","year":"2007","unstructured":"Yan, S., Xu, D., Zhang, B., Zhang, H.J., Yang, Q., Lin, S.: Graph embedding and extensions: a general framework for dimensionality reduction. IEEE Trans. Patt. Anal. Mach. Intell. 29(1), 40\u201351 (2007)","journal-title":"IEEE Trans. Patt. Anal. Mach. Intell."},{"key":"2_CR18","first-page":"8","volume":"2012","author":"EW Lang","year":"2012","unstructured":"Lang, E.W., Tom\u00e9, A.M., Keck, I.R., G\u00f3rriz-S\u00e1ez, J., Puntonet, C.G.: Brain connectivity analysis: a short survey. Comput. Intell. Neurosci. 2012, 8 (2012)","journal-title":"Comput. Intell. Neurosci."},{"issue":"11","key":"2_CR19","doi-asserted-by":"crossref","first-page":"1178","DOI":"10.1002\/hbm.20346","volume":"28","author":"CJ Stam","year":"2007","unstructured":"Stam, C.J., Nolte, G., Daffertshofer, A.: Phase lag index: assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources. Hum. Brain Mapp. 28(11), 1178\u20131193 (2007)","journal-title":"Hum. Brain Mapp."},{"issue":"3","key":"2_CR20","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1038\/nn.3330","volume":"16","author":"GB Stanley","year":"2013","unstructured":"Stanley, G.B.: Reading and writing the neural code. Nat. Neurosci. 16(3), 259\u2013263 (2013)","journal-title":"Nat. Neurosci."},{"issue":"1","key":"2_CR21","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1186\/1471-2202-10-55","volume":"10","author":"M Rubinov","year":"2009","unstructured":"Rubinov, M., Sporns, O., van Leeuwen, C., Breakspear, M.: Symbiotic relationship between brain structure and dynamics. BMC Neurosci. 10(1), 55 (2009)","journal-title":"BMC Neurosci."},{"key":"2_CR22","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1016\/j.neuroimage.2013.05.056","volume":"80","author":"LJ Larson-Prior","year":"2013","unstructured":"Larson-Prior, L.J., Oostenveld, R., Della Penna, S., Michalareas, G., Prior, F., Babajani-Feremi, A., Schoffelen, J.M., Marzetti, L., de Pasquale, F., Di Pompeo, F., et al.: Adding dynamics to the human connectome project with MEG. Neuroimage 80, 190\u2013201 (2013)","journal-title":"Neuroimage"},{"key":"2_CR23","unstructured":"Human Connectome Project: WU-Minn HCP 500 Subjects + MEG2 Data Release: Reference Manual (2014). https:\/\/www.humanconnectome.org\/storage\/app\/media\/documentation\/s500\/hcps500meg2releasereferencemanual.pdf . Accessed Oct 2017"},{"key":"2_CR24","first-page":"129","volume":"2","author":"K Kira","year":"1992","unstructured":"Kira, K., Rendell, L.A.: The feature selection problem: traditional methods and a new algorithm. AAAI 2, 129\u2013134 (1992)","journal-title":"AAAI"},{"issue":"i11","key":"2_CR25","first-page":"1","volume":"36","author":"MB Kursa","year":"2010","unstructured":"Kursa, M.B., Rudnicki, W.R., et al.: Feature selection with the boruta package. J. Stat. Softw. 36(i11), 1\u201313 (2010)","journal-title":"J. Stat. Softw."},{"issue":"1","key":"2_CR26","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"issue":"4","key":"2_CR27","doi-asserted-by":"crossref","first-page":"1000","DOI":"10.1523\/JNEUROSCI.5171-07.2008","volume":"28","author":"S Waldert","year":"2008","unstructured":"Waldert, S., Preissl, H., Demandt, E., Braun, C., Birbaumer, N., Aertsen, A., Mehring, C.: Hand movement direction decoded from MEG and EEG. J. Neurosci. 28(4), 1000\u20131008 (2008)","journal-title":"J. Neurosci."}],"container-title":["Lecture Notes in Computer Science","Applications of Evolutionary Computation"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-77538-8_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T20:40:12Z","timestamp":1719866412000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-77538-8_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319775371","9783319775388"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-77538-8_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}