ASEO: a method for the simultaneous estimation of single-trial event-related potentials and ongoing brain activities
2009 (English)In: IEEE Transactions on Biomedical Engineering, ISSN 0018-9294, E-ISSN 1558-2531, Vol. 56, no 1, 111-121 p.Article in journal (Refereed) Published
Cognitive functions are often studied by recording electric potentials from the brain over repeated presentations of a sensory stimulus or repeated performance of a motor action. Each repetition is called a trial. Recent work has demonstrated that contrary to the traditional view, the event-related potential (ERP) can vary from trial to trial and the background ongoing activity often contains rich information about the cognitive state of the brain. Based on such a variable signal plus ongoing activity model, an iterative parameter estimation method is proposed in which both the single-trial parameters of the ERP and the autoregressive representation of the ongoing activity are obtained simultaneously. This technique, referred to as the analysis of single-trial ERP and ongoing activities method, is first tested on simulation examples, and then applied to the local field potential recordings from monkeys performing a visuomotor task.
Place, publisher, year, edition, pages
2009. Vol. 56, no 1, 111-121 p.
Autoregressive (AR), electroencephalogram (EEG), event-related potential (ERP), local field potential (LFP), maximum-likelihood estimate (MLE), ongoing brain activity
Computer and Information Science
IdentifiersURN: urn:nbn:se:uu:diva-104425DOI: 10.1109/TBME.2008.2008166ISI: 000263640900014OAI: oai:DiVA.org:uu-104425DiVA: diva2:219783