{"id":1790,"date":"2018-10-22T22:04:00","date_gmt":"2018-10-22T13:04:00","guid":{"rendered":"http:\/\/cinetjp-static3.nict.go.jp\/english\/?post_type=news&#038;p=1790"},"modified":"2022-09-19T21:29:37","modified_gmt":"2022-09-19T12:29:37","slug":"20181022_2963","status":"publish","type":"news","link":"http:\/\/cinetjp-static3.nict.go.jp\/english\/news\/20181022_2963\/","title":{"rendered":"CiNet Researcher Makoto Fukushima (Leibnitz Group) published a research article in PLOS Computational Biology"},"content":{"rendered":"\n<p>There is growing evidence that global connectivity patterns of functional brain networks fluctuate over time even during resting-state conditions, and many efforts have recently been made to elucidate their characteristics.<\/p>\n\n\n\n<p>In this paper, we demonstrated the extent to which a whole-brain computational model that simulates macro-scale dynamics of neural populations can reproduce the temporal fluctuations that were experimentally observed in empirical connectivity patterns.<\/p>\n\n\n\n<p>\u201cComparison of fluctuations in global network topology of modeled and empirical brain functional connectivity\u201d<br>Makoto Fukushima\u00a0and Olaf Sporns<br>PLOS Computational Biology, vol. 14, no. 9, e1006497, 2018.<br>https:\/\/journals.plos.org\/ploscompbiol\/article?id=10.1371\/journal.pcbi.1006497<\/p>\n","protected":false},"featured_media":0,"template":"","acf":[],"_links":{"self":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/news\/1790"}],"collection":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/news"}],"about":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/types\/news"}],"wp:attachment":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/media?parent=1790"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}