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More recently, tools have been developed to investigate single trial response variability (e.g., EEGLAB) and to test differences between averaged evoked responses over the entire scalp and time dimensions (e.g., SPM, Fieldtrip). LIMO EEG is a Matlab toolbox (EEGLAB compatible) to analyse evoked responses over all space and time dimensions, while accounting for single trial variability using a simple hierarchical linear modelling of the data. In addition, LIMO EEG provides robust parametric tests, therefore providing a new and complementary tool in the analysis of neural evoked responses.<\/jats:p>","DOI":"10.1155\/2011\/831409","type":"journal-article","created":{"date-parts":[[2011,2,21]],"date-time":"2011-02-21T14:32:16Z","timestamp":1298298736000},"page":"1-11","source":"Crossref","is-referenced-by-count":245,"title":["LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data"],"prefix":"10.1155","volume":"2011","author":[{"given":"Cyril R.","family":"Pernet","sequence":"first","affiliation":[{"name":"Division of Clinical Neurosciences, SFC Brain Imaging Research Centre, SINAPSE Collaboration, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK"}]},{"given":"Nicolas","family":"Chauveau","sequence":"additional","affiliation":[{"name":"Inserm; Imagerie C\u00e9r\u00e9brale et Handicaps Neurologiques UMR 825, 31059 Toulouse, France"},{"name":"Universit\u00e9 de Toulouse, UPS, Imagerie C\u00e9r\u00e9brale et Handicaps Neurologiques UMR 825, 31059 Toulouse, France"}]},{"given":"Carl","family":"Gaspar","sequence":"additional","affiliation":[{"name":"Centre for Cognitive Neuroimaging (CCNi), Institute of Neuroscience and Psychology, University of Glasgow, Glasgow G12 8QB, UK"}]},{"given":"Guillaume A.","family":"Rousselet","sequence":"additional","affiliation":[{"name":"Centre for Cognitive Neuroimaging (CCNi), Institute of Neuroscience and Psychology, University of Glasgow, Glasgow G12 8QB, UK"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2003.10.009"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2004.02.012"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2004.02.013"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neulet.2004.10.052"},{"key":"5","doi-asserted-by":"crossref","first-page":"1272","DOI":"10.1214\/10-AOAS337","volume":"4","year":"2010","journal-title":"Annals of Applied Statistics"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2007.03.024"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2202-9-98"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2202-10-114"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2010.00019"},{"key":"11","year":"2007"},{"key":"12","first-page":"394","volume":"26","year":"1920","journal-title":"Bulletin of the American Mathematical Society"},{"key":"13","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1017\/S0305004100030401","volume":"51","year":"1955","journal-title":"Proceedings of the Cambridge Philosophical Society"},{"key":"14","year":"2005"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1191\/0962280203sm341ra"},{"issue":"3","key":"16","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1038\/jcbfm.1993.57","volume":"13","year":"1993","journal-title":"Journal of Cerebral Blood Flow and Metabolism"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.1996.0248"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1007\/BF02293860"},{"issue":"2","key":"19","doi-asserted-by":"crossref","first-page":"119","DOI":"10.3102\/10769986019002119","volume":"19","year":"1994","journal-title":"Journal of Educational and Behavioural Statistics"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1007\/s00221-001-0906-7"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.1996.0018"},{"key":"21","series-title":"Progress in Brain Research, 159","volume-title":"Why use ICA to decompose EEG\/MEG data?","year":"2006"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1037\/1082-989X.8.3.254"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1167\/8.12.3"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2011\/831409.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2011\/831409.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2011\/831409.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,19]],"date-time":"2017-06-19T16:01:59Z","timestamp":1497888119000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/cin\/2011\/831409\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"references-count":23,"alternative-id":["831409","831409"],"URL":"https:\/\/doi.org\/10.1155\/2011\/831409","relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"value":"1687-5265","type":"print"},{"value":"1687-5273","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011]]}}}