Affiliation: VU University Medical Center
Country: The Netherlands
- A mathematical approach to the temporal stationarity of background noise in MEG/EEG measurementsFetsje Bijma
MEG Center, Department PMT, VU University Medical Center, De Boelelaan 1118, 1081 HZ Amsterdam, The Netherlands
Neuroimage 20:233-43. 2003..When analyzing events at a fixed sample after the stimulus (e.g., the SEF N20 response) one can take advantage of this nonstationarity by optimizing the baseline window to obtain a low noise variance at this particular sample...
- The coupled dipole model: an integrated model for multiple MEG/EEG data setsFetsje Bijma
MEG Center, Department Physics and Medical Technology, VU University Medical Center, De Boelelaan 1118, 1081 HZ Amsterdam, The Netherlands
Neuroimage 23:890-904. 2004..Moreover, using the CDM, a direct comparison between parameters in different conditions is possible, whereas in separate models, the scaling of the amplitude parameters varies in general from data set to data set...
- The spatiotemporal MEG covariance matrix modeled as a sum of Kronecker productsFetsje Bijma
Department PMT, Vrije Universiteit Medical Center, MEG Center, De Boelelaan 1118, Amsterdam, The Netherlands
Neuroimage 27:402-15. 2005..The emphasis of further improvement of localization accuracy should be on improving the source model rather than the covariance model...
- In vivo measurement of the brain and skull resistivities using an EIT-based method and realistic models for the headSónia I Gonçalves
MEG Centre VU University Medical Centre, P O Box 7057, 1007 MB Amsterdam, The Netherlands
IEEE Trans Biomed Eng 50:754-67. 2003..We show that the proposed method is suited to this goal...
- A maximum-likelihood estimator for trial-to-trial variations in noisy MEG/EEG data setsJan Casper de Munck
Department of Physics and Medical Technology of University Hospital of the Vrije Universiteit, 1081 HV Amsterdam, The Netherlands
IEEE Trans Biomed Eng 51:2123-8. 2004..For these data, the advantage of applying the model is that positive and negative spikes can be processed with a single model, thereby reducing the number of degrees of freedom and increasing the signal-to-noise ratio...
- Data-driven modeling of phase interactions between spontaneous MEG oscillationsRikkert Hindriks
Department of Mathematics, Faculty of Sciences, VU University Amsterdam, Amsterdam, The Netherlands
Hum Brain Mapp 32:1161-78. 2011..For this, an explicit dynamical model is required. Based on the assumption that the recorded rhythms can be described as weakly coupled oscillators, we propose a method for characterizing their phase-interaction dynamics...