DocumentCode :
972223
Title :
ASEO: A Method for the Simultaneous Estimation of Single-Trial Event-Related Potentials and Ongoing Brain Activities
Author :
Xu, Luzhou ; Stoica, Petre ; Li, Jian ; Bressler, Steven L. ; Shao, Xianzhi ; Ding, Mingzhou
Author_Institution :
ArrayComm LLC, San Jose, CA
Volume :
56
Issue :
1
fYear :
2009
Firstpage :
111
Lastpage :
121
Abstract :
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.
Keywords :
bioelectric potentials; brain; ASEO; autoregressive representation; brain activity; cognitive functions; electric potentials; monkeys; simultaneous estimation; single-trial event related potentials; visuomotor task; Background noise; Biological materials; Biomedical engineering; Biomedical materials; Brain modeling; Delay; Electric potential; Electroencephalography; Enterprise resource planning; Iterative methods; Mathematical model; Maximum likelihood estimation; Parameter estimation; USA Councils; Autoregressive (AR); electroencephalogram (EEG); event-related potential (ERP); local field potential (LFP); maximum-likelihood estimate (MLE); ongoing brain activity; Algorithms; Animals; Brain; Computer Simulation; Evoked Potentials; Haplorhini; Models, Neurological; Normal Distribution; Psychomotor Performance;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2008.2008166
Filename :
4663631
Link To Document :
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