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| Reference : Functional ANOVA with random functional effects: an application to event-related potenti... |
| Scientific journals : Article | |||
| Human health sciences : Neurology Physical, chemical, mathematical & earth Sciences : Mathematics | |||
| http://hdl.handle.net/2268/24455 | |||
| Functional ANOVA with random functional effects: an application to event-related potentials modelling for electroencephalograms analysis | |
| English | |
| Bugli, Céline [ > > ] | |
Lambert, Philippe  [Université de Liège - ULg > Institut des sciences humaines et sociales > Méthodes quantitatives en sciences sociales >] | |
| 2006 | |
| Statistics in Medicine | |
| 25 | |
| 3718-3739 | |
| Yes (verified by ORBi) | |
| International | |
| 0277-6715 | |
| [en] EEG ; ERP ; P300 ; Mixed model ; P-splines ; Functional ANOVA | |
| [en] The di erential e ects of basic visual or auditory stimuli on electroencephalograms (EEG), named event
related potentials (ERPs), are often used to evaluate the impact of treatments on brain performances. In the present paper, we propose a P-splines based model that can be used to evaluate treatment e ect on the timing and the amplitude of some peaks of the ERPs curves. Functional ANOVA is an adaptation of linear model or analysis of variance to analyse functional observations. The changes in the functional of interest e ects are generally described using smoothing splines. Eilers and Marx proposed to work with P-splines, a combination of B-splines and di erence penalties on coe cients. We de ne a Psplines model for ERPs curves combined with random e ects. In particular, we show that it is a useful alternative to classical strategies requiring the visual and usually imprecise localization of speci c ERP peaks from curves with a low signal-to-noise ratio. | |
| Belgian state (Federal Office for Scientific, Technical and Cultural Affairs) | |
| IAP network No. P5=24 | |
| http://hdl.handle.net/2268/24455 |
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