{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T01:54:00Z","timestamp":1743126840434,"version":"3.40.3"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030054137"},{"type":"electronic","value":"9783030054144"}],"license":[{"start":{"date-parts":[[2018,12,5]],"date-time":"2018-12-05T00:00:00Z","timestamp":1543968000000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-05414-4_53","type":"book-chapter","created":{"date-parts":[[2018,12,4]],"date-time":"2018-12-04T22:32:48Z","timestamp":1543962768000},"page":"663-674","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Using Algorithmic Complexity to Differentiate Cognitive States in fMRI"],"prefix":"10.1007","author":[{"given":"Mario","family":"Ventresca","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,12,5]]},"reference":[{"key":"53_CR1","unstructured":"Amico, E., Go\u00f1i, J.: Maximizing the individual fingerprints of human functional connectomes through decomposition into brain connectivity modes (2017). arXiv preprint arXiv:1707.02365"},{"issue":"1","key":"53_CR2","doi-asserted-by":"crossref","first-page":"8254","DOI":"10.1038\/s41598-018-25089-1","volume":"8","author":"E Amico","year":"2018","unstructured":"Amico, E., Go\u00f1i, J.: The quest for identifiability in human functional connectomes. Sci. Rep. 8(1), 8254 (2018)","journal-title":"Sci. Rep."},{"key":"53_CR3","doi-asserted-by":"crossref","unstructured":"Bassett, D.S., Zurn, P., Gold, J.I.: On the nature and use of models in network neuroscience. Nat. Rev. Neurosci. 1 (2018)","DOI":"10.1038\/s41583-018-0038-8"},{"key":"53_CR4","doi-asserted-by":"publisher","unstructured":"Betzel, R.F., Bassett, D.S.: Generative models for network neuroscience: prospects and promise. J. R. Soc. Interface 14(136), 20170623 (2017). https:\/\/doi.org\/10.1098\/rsif.2017.0623","DOI":"10.1098\/rsif.2017.0623"},{"issue":"7","key":"53_CR5","doi-asserted-by":"crossref","first-page":"491","DOI":"10.3390\/e20070491","volume":"20","author":"E Bonmati","year":"2018","unstructured":"Bonmati, E., Bardera, A., Feixas, M., Boada, I.: Novel brain complexity measures based on information theory. Entropy 20(7), 491 (2018)","journal-title":"Entropy"},{"key":"53_CR6","unstructured":"Campani, C.A., Menezes, P.B.: On the application of kolmogorov complexity to the characterization and evaluation of computational models and complex systems. In: Conference on Imaging Science, Systems and Technology, pp. 63\u201368 (2004)"},{"key":"53_CR7","first-page":"20","volume":"8","author":"RL Carhart-Harris","year":"2014","unstructured":"Carhart-Harris, R.L., et al.: The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs. Front. Hum. Neurosci. 8, 20 (2014)","journal-title":"Front. Hum. Neurosci."},{"key":"53_CR8","doi-asserted-by":"crossref","unstructured":"Casali, A.G., et\u00a0al.: A theoretically based index of consciousness independent of sensory processing and behavior. Sci. Transl. Med. 5(198), 198ra105\u2013198ra105 (2013)","DOI":"10.1126\/scitranslmed.3006294"},{"issue":"1","key":"53_CR9","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1145\/321495.321506","volume":"16","author":"GJ Chaitin","year":"1969","unstructured":"Chaitin, G.J.: On the length of programs for computing finite binary sequences: statistical considerations. J. ACM 16(1), 145\u2013159 (1969)","journal-title":"J. ACM"},{"issue":"1","key":"53_CR10","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.amc.2011.10.006","volume":"219","author":"JP Delahaye","year":"2012","unstructured":"Delahaye, J.P., Zenil, H.: Numerical evaluation of algorithmic complexity for short strings: a glance into the innermost structure of randomness. Appl. Math. Comput. 219(1), 63\u201377 (2012)","journal-title":"Appl. Math. Comput."},{"key":"53_CR11","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"},{"issue":"4","key":"53_CR12","doi-asserted-by":"crossref","first-page":"e1005408","DOI":"10.1371\/journal.pcbi.1005408","volume":"13","author":"N Gauvrit","year":"2017","unstructured":"Gauvrit, N., Zenil, H., Soler-Toscano, F., Delahaye, J.P., Brugger, P.: Human behavioral complexity peaks at age 25. PLoS Comput. Biol. 13(4), e1005408 (2017)","journal-title":"PLoS Comput. Biol."},{"issue":"7615","key":"53_CR13","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1038\/nature18933","volume":"536","author":"MF Glasser","year":"2016","unstructured":"Glasser, M.F., et al.: Others: a multi-modal parcellation of human cerebral cortex. Nature 536(7615), 171\u2013178 (2016)","journal-title":"Nature"},{"key":"53_CR14","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.neuroimage.2013.04.127","volume":"80","author":"MF Glasser","year":"2013","unstructured":"Glasser, M.F., et al.: Others: the minimal preprocessing pipelines for the Human Connectome Project. Neuroimage 80, 105\u2013124 (2013)","journal-title":"Neuroimage"},{"key":"53_CR15","doi-asserted-by":"crossref","unstructured":"Guo, D., Arora, V., Amico, E., Go\u00f1i, J., Ventresca, M.: Dynamic generative model of the human brain in resting-state. In: Cherifi, C., Cherifi, H., Karsai, M., Musolesi, M. (eds.) Complex Networks & Their Applications VI, pp. 1271\u20131283. Springer International Publishing, Cham (2018)","DOI":"10.1007\/978-3-319-72150-7_103"},{"issue":"12","key":"53_CR16","doi-asserted-by":"crossref","first-page":"1186","DOI":"10.3844\/ajassp.2017.1186.1208","volume":"14","author":"M Islam","year":"2018","unstructured":"Islam, M., et al.: A survey of graph based complex brain network analysis using functional and diffusional mri. Am. J. Appl. Sci. 14(12), 1186\u20131208 (2018)","journal-title":"Am. J. Appl. Sci."},{"issue":"2","key":"53_CR17","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1006\/nimg.2002.1132","volume":"17","author":"M Jenkinson","year":"2002","unstructured":"Jenkinson, M., Bannister, P., Brady, M., Smith, S.: Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 17(2), 825\u2013841 (2002)","journal-title":"Neuroimage"},{"issue":"1\u20134","key":"53_CR18","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1080\/00207166808803030","volume":"2","author":"AN Kolmogorov","year":"1968","unstructured":"Kolmogorov, A.N.: Three approaches to the quantitative definition of information. Int. J. Comput. Math. 2(1\u20134), 157\u2013168 (1968)","journal-title":"Int. J. Comput. Math."},{"issue":"1","key":"53_CR19","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1109\/TIT.1976.1055501","volume":"22","author":"A Lempel","year":"1976","unstructured":"Lempel, A., Ziv, J.: On the complexity of finite sequences. IEEE Trans. Infation Theory 22(1), 75\u201381 (1976)","journal-title":"IEEE Trans. Infation Theory"},{"issue":"3","key":"53_CR20","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1016\/S0016-7185(00)00035-X","volume":"32","author":"SM Manson","year":"2001","unstructured":"Manson, S.M.: Simplifying complexity: a review of complexity theory. Geoforum 32(3), 405\u2013414 (2001)","journal-title":"Geoforum"},{"key":"53_CR21","doi-asserted-by":"crossref","unstructured":"Morzy, M., Kajdanowicz, T., Kazienko, P.: On measuring the complexity of networks: Kolmogorov complexity versus entropy. Complexity 2017 (2017)","DOI":"10.1155\/2017\/3250301"},{"issue":"7","key":"53_CR22","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1038\/nphys1722","volume":"6","author":"R Pastor-Satorras","year":"2010","unstructured":"Pastor-Satorras, R., Vespignani, A.: Complex networks: patterns of complexity. Nat. Phys. 6(7), 480 (2010)","journal-title":"Nat. Phys."},{"issue":"1","key":"53_CR23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10867-010-9195-3","volume":"37","author":"G Piccinini","year":"2011","unstructured":"Piccinini, G., Scarantino, A.: Information processing, computation, and cognition. J. Biol. Phys. 37(1), 1\u201338 (2011)","journal-title":"J. Biol. Phys."},{"issue":"3","key":"53_CR24","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1016\/j.neuroimage.2009.10.003","volume":"52","author":"M Rubinov","year":"2010","unstructured":"Rubinov, M., Sporns, O.: Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52(3), 1059\u20131069 (2010)","journal-title":"Neuroimage"},{"key":"53_CR25","doi-asserted-by":"crossref","unstructured":"Ruffini, G.: An algorithmic information theory of consciousness. Neurosci. Conscious. 3(1) (2017)","DOI":"10.1093\/nc\/nix019"},{"key":"53_CR26","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.neuroimage.2013.03.035","volume":"77","author":"JR Sato","year":"2013","unstructured":"Sato, J.R., Takahashi, D.Y., Hoexter, M.Q., Massirer, K.B., Fujita, A.: Measuring network\u2019s entropy in adhd: a new approach to investigate neuropsychiatric disorders. Neuroimage 77, 44\u201351 (2013)","journal-title":"Neuroimage"},{"issue":"2","key":"53_CR27","doi-asserted-by":"crossref","first-page":"e0191,582","DOI":"10.1371\/journal.pone.0191582","volume":"13","author":"GN Saxe","year":"2018","unstructured":"Saxe, G.N., Calderone, D., Morales, L.J.: Brain entropy and human intelligence: a resting-state fmri study. PloS one 13(2), e0191,582 (2018)","journal-title":"PloS one"},{"issue":"3","key":"53_CR28","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1023\/A:1010388907793","volume":"104","author":"CR Shalizi","year":"2001","unstructured":"Shalizi, C.R., Crutchfield, J.P.: Computational mechanics: pattern and prediction, structure and simplicity. J. Stat. Phys. 104(3), 817\u2013879 (2001)","journal-title":"J. Stat. Phys."},{"issue":"5","key":"53_CR29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0096223","volume":"9","author":"F Soler-Toscano","year":"2014","unstructured":"Soler-Toscano, F., Zenil, H., Delahaye, J.P., Gauvrit, N.: Calculating kolmogorov complexity from the output frequency distributions of small turing machines. PLOS ONE 9(5), 1\u201318 (2014)","journal-title":"PLOS ONE"},{"issue":"1","key":"53_CR30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0019-9958(64)90223-2","volume":"7","author":"RJ Solomonoff","year":"1964","unstructured":"Solomonoff, R.J.: A formal theory of inductive inference. Part I. Inf. Control. 7(1), 1\u201322 (1964)","journal-title":"Inf. Control."},{"issue":"3","key":"53_CR31","doi-asserted-by":"crossref","first-page":"247","DOI":"10.31887\/DCNS.2013.15.3\/osporns","volume":"15","author":"O Sporns","year":"2013","unstructured":"Sporns, O.: Structure and function of complex brain networks. Dialogues Clin. Neurosci. 15(3), 247 (2013)","journal-title":"Dialogues Clin. Neurosci."},{"issue":"1","key":"53_CR32","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1186\/1753-4631-1-3","volume":"1","author":"CJ Stam","year":"2007","unstructured":"Stam, C.J., Reijneveld, J.C.: Graph theoretical analysis of complex networks in the brain. Nonlinear Biomed. Phys. 1(1), 3 (2007)","journal-title":"Nonlinear Biomed. Phys."},{"key":"53_CR33","doi-asserted-by":"crossref","unstructured":"Van Essen, D.C., et al.: Others: The WU-Minn human connectome project: an overview. Neuroimage 80, 62\u201379 (2013)","DOI":"10.1016\/j.neuroimage.2013.05.041"},{"issue":"1","key":"53_CR34","doi-asserted-by":"crossref","first-page":"7388","DOI":"10.1038\/s41598-017-06854-0","volume":"7","author":"A Viol","year":"2017","unstructured":"Viol, A., Palhano-Fontes, F., Onias, H., Araujo, D.B., Viswanathan, G.: Shannon entropy of brain functional complex networks under the influence of the psychedelic ayahuasca. Sci. Rep. 7(1), 7388 (2017)","journal-title":"Sci. Rep."},{"key":"53_CR35","doi-asserted-by":"crossref","first-page":"378","DOI":"10.3389\/fnagi.2017.00378","volume":"9","author":"B Wang","year":"2017","unstructured":"Wang, B., et al.: Decreased complexity in alzheimer\u2019s disease: resting-state fmri evidence of brain entropy mapping. Front. Aging Neurosci. 9, 378 (2017)","journal-title":"Front. Aging Neurosci."},{"issue":"5","key":"53_CR36","doi-asserted-by":"crossref","first-page":"1415","DOI":"10.3758\/s13423-016-1002-0","volume":"23","author":"L Wit de","year":"2016","unstructured":"de Wit, L., Alexander, D., Ekroll, V., Wagemans, J.: Is neuroimaging measuring information in the brain? Psychon. Bull. Rev. 23(5), 1415\u20131428 (2016)","journal-title":"Psychon. Bull. Rev."},{"key":"53_CR37","doi-asserted-by":"crossref","first-page":"2853","DOI":"10.1038\/srep02853","volume":"3","author":"Y Yao","year":"2013","unstructured":"Yao, Y., et al.: The increase of the functional entropy of the human brain with age. Sci. Rep. 3, 2853 (2013)","journal-title":"Sci. Rep."},{"issue":"8","key":"53_CR38","doi-asserted-by":"crossref","first-page":"605","DOI":"10.3390\/e20080605","volume":"20","author":"H Zenil","year":"2018","unstructured":"Zenil, H., Hern\u00e1ndez-Orozco, S., Kiani, N., Soler-Toscano, F., Rueda-Toicen, A., Tegn\u00e9r, J.: A decomposition method for global evaluation of shannon entropy and local estimations of algorithmic complexity. Entropy 20(8), 605 (2018)","journal-title":"Entropy"},{"issue":"3","key":"53_CR39","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1093\/comnet\/cnv025","volume":"4","author":"H Zenil","year":"2015","unstructured":"Zenil, H., Kiani, N.A., Tegn\u00e9r, J.: Quantifying loss of information in network-based dimensionality reduction techniques. J. Complex Netw. 4(3), 342\u2013362 (2015)","journal-title":"J. Complex Netw."},{"key":"53_CR40","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.semcdb.2016.01.011","volume":"51","author":"H Zenil","year":"2016","unstructured":"Zenil, H., Kiani, N.A., Tegner, J.: Methods of information theory and algorithmic complexity for network biology. Semin. Cell Dev. Biol. 51, 32\u201343 (2016)","journal-title":"Semin. Cell Dev. Biol."},{"key":"53_CR41","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/j.physa.2014.02.060","volume":"404","author":"H Zenil","year":"2014","unstructured":"Zenil, H., Soler-Toscano, F., Dingle, K., Louis, A.A.: Correlation of automorphism group size and topological properties with program-size complexity evaluations of graphs and complex networks. Phys. A Stat. Mech. Its Appl. 404, 341\u2013358 (2014)","journal-title":"Phys. A Stat. Mech. Its Appl."}],"container-title":["Studies in Computational Intelligence","Complex Networks and Their Applications VII"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-05414-4_53","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,7]],"date-time":"2022-09-07T16:00:56Z","timestamp":1662566456000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-05414-4_53"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,5]]},"ISBN":["9783030054137","9783030054144"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-05414-4_53","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2018,12,5]]},"assertion":[{"value":"COMPLEX NETWORKS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Complex Networks and their Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambridge","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 December 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwcna2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.complexnetworks.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}