title: A fast and reliable method for simultaneous waveform, amplitude and latency estimation of single-trial EEG/MEG data.
abstract: The amplitude and latency of single-trial EEG/MEG signals may provide valuable information concerning human brain functioning. In this article we propose a new method to reliably estimate single-trial amplitude and latency of EEG/MEG signals. The advantages of the method are fourfold. First, no a-priori specified template function is required. Second, the method allows for multiple signals that may vary independently in amplitude and/or latency. Third, the method is less sensitive to noise as it models data with a parsimonious set of basis functions. Finally, the method is very fast since it is based on an iterative linear least squares algorithm. A simulation study shows that the method yields reliable estimates under different levels of latency variation and signal-to-noise ratioÕs. Furthermore, it shows that the existence of multiple signals can be correctly determined. An application to empirical data from a choice reaction time study indicates that the method describes these data accurately.
authors: Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands. w.d.weeda1@uva.nl
authors: Wouter D
authors: WD
authors: Weeda
authors: Raoul P P P
authors: RP
authors: Grasman
authors: Lourens J
authors: LJ
authors: Waldorp
authors: Maria C
authors: MC
authors: van de Laar
authors: Maurits W
authors: MW
authors: van der Molen
authors: Hilde M
authors: HM
authors: Huizenga
mesh_terms: D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D003198:Computer Simulation; D004569:Electroencephalography; D006801:Humans; D015225:Magnetoencephalography; D015233:Models, Statistical; D011930:Reaction Time / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio