{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,11]],"date-time":"2024-07-11T12:34:19Z","timestamp":1720701259659},"reference-count":21,"publisher":"World Scientific Pub Co Pte Lt","issue":"06","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Bifurcation Chaos"],"published-print":{"date-parts":[[2010,6]]},"abstract":"<jats:p> We calculate a measure of statistical complexity from the global dynamics of electroencephalographic (EEG) signals from healthy subjects and epileptic patients, and are able to establish a criterion to characterize the collective behavior in both groups of individuals. It is found that the collective dynamics of EEG signals possess relatively higher values of complexity for healthy subjects in comparison to that for epileptic patients. To interpret these results, we propose a model of a network of coupled chaotic maps where we calculate the complexity as a function of a parameter and relate this measure with the emergence of nontrivial collective behavior in the system. Our results show that the presence of nontrivial collective behavior is associated to high values of complexity; thus suggesting that similar dynamical collective process may take place in the human brain. Our findings also suggest that epilepsy is a degenerative illness related to the loss of complexity in the brain. <\/jats:p>","DOI":"10.1142\/s0218127410026782","type":"journal-article","created":{"date-parts":[[2010,7,5]],"date-time":"2010-07-05T06:06:39Z","timestamp":1278309999000},"page":"1723-1729","source":"Crossref","is-referenced-by-count":6,"title":["STATISTICAL COMPLEXITY AND NONTRIVIAL COLLECTIVE BEHAVIOR IN ELECTROENCEPHALOGRAPHIC SIGNALS"],"prefix":"10.1142","volume":"20","author":[{"given":"M.","family":"ESCALONA-MOR\u00c1N","sequence":"first","affiliation":[{"name":"Grupo de Ingenier\u00eda Biom\u00e9dica, Facultad de Ingenier\u00eda, Universidad de Los Andes, M\u00e9rida, Venezuela"},{"name":"Laboratoire Traitement du Signal et de l'Image (LTSI), Universit\u00e9 de Rennes 1, Campus Scientifique de Beaulieu, B\u00e2t. 22, 35042 Rennes Cedex, France"},{"name":"INSERM U642, LTSI, B\u00e2t. 22, 35042 Rennes Cedex, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. G.","family":"COSENZA","sequence":"additional","affiliation":[{"name":"Centro de F\u00edsica Fundamental, Universidad de Los Andes, M\u00e9rida, Venezuela"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"L\u00d3PEZ-RUIZ","sequence":"additional","affiliation":[{"name":"DIIS and BIFI, Facultad de Ciencias, Universidad de Zaragoza, E-50009 Zaragoza, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P.","family":"GARC\u00cdA","sequence":"additional","affiliation":[{"name":"Laboratorio de Sistemas Complejos, Departamento de F\u00edsica Aplicada, Facultad de Ingenier\u00eda, Universidad Central de Venezuela, Caracas, Venezuela"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2012,5,2]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.83.10.3513"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511524691"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1143\/ptp\/87.1.1"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1209\/0295-5075\/17\/4\/002"},{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.65.045204"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-4371(98)00159-9"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1143\/PTP.100.21"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127240"},{"key":"rf9","first-page":"370","volume":"10","author":"Jasper H. 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