4.6 Article

ASEO: A Method for the Simultaneous Estimation of Single-Trial Event-Related Potentials and Ongoing Brain Activities

Journal

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume 56, Issue 1, Pages 111-121

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2008.2008166

Keywords

Autoregressive (AR); electroencephalogram (EEG); event-related potential (ERP); local field potential (LFP); maximum-likelihood estimate (MLE); ongoing brain activity

Funding

  1. National Institutes of Health (NIH) [MH70498]
  2. The Swedish Foundation for International Cooperation in Research and Higher Education (STINT)
  3. NATIONAL INSTITUTE OF MENTAL HEALTH [R01MH070498] Funding Source: NIH RePORTER

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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.

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