A maximum likelihood estimator for habituation effects in evoked magnetic field data

Author

de Munck, J.C. ; Bijma, F. ; Gaura, P. ; Sieluzycki, C. ; Branco, M.I. ; Heethaar, R.M.

Author_Institution

Dept. of Phys. & Med. Technol., VU Med. Center, Amsterdam, Netherlands

Volume

3

fYear

2003

fDate

17-21 Sept. 2003

Firstpage

2106

Abstract

The standard procedure to determine the brain response from a multi-trial evoked MEG or EEG data set is to average the individual trials of these data, time locked to the stimulus onset times. When the brain responses vary from trial to trial this approach is false. In this paper a maximum likelihood estimator is derived for the case that the recorded data contain amplitude habituation. The estimator accounts for spatially and temporally correlated background noise that is superimposed on the brain response. The model is applied to a series of MEG data of median nerve stimulation. These data show that the late components (30-120 ms) show a systematic decrease in stimulus amplitude.

Keywords

magnetoencephalography; maximum likelihood estimation; neuromuscular stimulation; 30 to 120 ms; EEG; MEG; brain response; evoked magnetic field; habituation effects; maximum likelihood estimator; median nerve stimulation; Background noise; Brain modeling; Covariance matrix; Data mining; Electroencephalography; Gaussian noise; Maximum likelihood estimation; Neurons; Physics; Rhythm;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7789-3

Type

conf

DOI

10.1109/IEMBS.2003.1280153

Filename

1280153