{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T18:30:54Z","timestamp":1791829854192,"version":"4.3.4"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002873","name":"Research Assistant Scholarship from the Graduate School, Chulalongkorn University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002873","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002873","name":"90th Anniversary of Chulalongkorn University Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002873","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Chula Engineering Research","award":["2019-2020"],"award-info":[{"award-number":["2019-2020"]}]},{"DOI":"10.13039\/501100002873","name":"Chulalongkorn University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002873","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1109\/tnnls.2021.3096642","type":"journal-article","created":{"date-parts":[[2021,7,26]],"date-time":"2021-07-26T17:27:21Z","timestamp":1627320441000},"page":"3146-3156","source":"Crossref","is-referenced-by-count":23,"title":["Granger Causality Inference in EEG Source Connectivity Analysis: A State-Space Approach"],"prefix":"10.1109","volume":"33","author":[{"given":"Parinthorn","family":"Manomaisaowapak","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anawat","family":"Nartkulpat","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2715-8305","authenticated-orcid":false,"given":"Jitkomut","family":"Songsiri","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2019.2913928"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.4186\/ej.2016.20.3.207"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10548-016-0538-7"},{"key":"ref4","article-title":"Towards EEG source connectivity analysis","author":"Haufe","year":"2012"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.09.036"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2015.00284"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2016.2600023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1155\/2011\/130714"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2003.10.009"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1155\/2011\/156869"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2010.2046325"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2008.07.032"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2166392"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2014.00022"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci10090657"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2010.2050319"},{"key":"ref17","first-page":"1234","article-title":"A state-space model of cross-region dynamic connectivity in MEG\/EEG","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yang"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.05.046"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2441137"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2497681"},{"key":"ref21","article-title":"Sampling distribution for single-regression Granger causality estimators","author":"Gutknecht","year":"2019","journal-title":"arXiv:1911.09625"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.91.040101"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10548-016-0498-y"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4613-0465-4"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/BMEiCON.2018.8609948"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1201\/b18401"},{"key":"ref27","first-page":"1","article-title":"Group sparse optimization via lp,q regularization","volume":"18","author":"Hu","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"ref28","first-page":"379","article-title":"Accelerated proximal gradient methods for nonconvex programming","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Li"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1017\/cbo9780511810817"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1186\/1687-6180-2014-97"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2011.08.010"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2015.12.019"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2013.10.018"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1155\/2011\/879716"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2016.2616474"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s10548-019-00705-z"},{"key":"ref38","first-page":"1","article-title":"Neural connectivity with hidden Gaussian graphical state-model","author":"Paz-Linares","year":"2018","journal-title":"arXiv:1810.01174"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1038\/srep14765"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2017.00635"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2940122"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/9816060\/09494037.pdf?arnumber=9494037","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T18:28:17Z","timestamp":1704997697000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9494037\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":41,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2021.3096642","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2020.10.07.329276","asserted-by":"object"}]},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7]]}}}