{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T08:07:23Z","timestamp":1791274043411,"version":"4.1.0"},"reference-count":20,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2011]]},"abstract":"<jats:p>The recent surge in computational power has led to extensive methodological developments and advanced signal processing techniques that play a pivotal role in neuroscience. In particular, the field of brain signal analysis has witnessed a strong trend towards multidimensional analysis of large data sets, for example, single-trial time-frequency analysis of high spatiotemporal resolution recordings. Here, we describe the freely available ELAN software package which provides a wide range of signal analysis tools for electrophysiological data including scalp electroencephalography (EEG), magnetoencephalography (MEG), intracranial EEG, and local field potentials (LFPs). The ELAN toolbox is based on 25 years of methodological developments at the Brain Dynamics and Cognition Laboratory in Lyon and was used in many papers including the very first studies of time-frequency analysis of EEG data exploring evoked and induced oscillatory activities in humans. This paper provides an overview of the concepts and functionalities of ELAN, highlights its specificities, and describes its complementarity and interoperability with other toolboxes.<\/jats:p>","DOI":"10.1155\/2011\/158970","type":"journal-article","created":{"date-parts":[[2011,4,20]],"date-time":"2011-04-20T19:45:40Z","timestamp":1303328740000},"page":"1-11","source":"Crossref","is-referenced-by-count":163,"title":["ELAN: A Software Package for Analysis and Visualization of MEG, EEG, and LFP Signals"],"prefix":"10.1155","volume":"2011","author":[{"given":"Pierre-Emmanuel","family":"Aguera","sequence":"first","affiliation":[{"name":"INSERM U1028, CNRS UMR5292, Lyon Neuroscience Research Center, Brain Dynamics and Cognition Team, Centre Hospitalier Le Vinatier, B\u00e2timent 452, 95 Boulevard Pinel, 69500 Bron, France"},{"name":"University Lyon 1, 69000 Lyon, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karim","family":"Jerbi","sequence":"additional","affiliation":[{"name":"INSERM U1028, CNRS UMR5292, Lyon Neuroscience Research Center, Brain Dynamics and Cognition Team, Centre Hospitalier Le Vinatier, B\u00e2timent 452, 95 Boulevard Pinel, 69500 Bron, France"},{"name":"University Lyon 1, 69000 Lyon, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anne","family":"Caclin","sequence":"additional","affiliation":[{"name":"INSERM U1028, CNRS UMR5292, Lyon Neuroscience Research Center, Brain Dynamics and Cognition Team, Centre Hospitalier Le Vinatier, B\u00e2timent 452, 95 Boulevard Pinel, 69500 Bron, France"},{"name":"University Lyon 1, 69000 Lyon, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Olivier","family":"Bertrand","sequence":"additional","affiliation":[{"name":"INSERM U1028, CNRS UMR5292, Lyon Neuroscience Research Center, Brain Dynamics and Cognition Team, 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