Robust EEG preprocessing for dependence-based condition discrimination

This paper addresses the robustness of the filtering schemes in processing high resolution electroencephalogram (EEG) data in the context of discriminating two stimuli flickering at a given frequency. The raw data consists of recordings from a 128-channel HydroCell GSN where the subject was visually stimulated with two images flickering at 17.5 Hz, representing two distinct conditions, referred to as Face and Mock. These signals were then passed through a band pass filter to only capture the modulation at the flickering frequency, and a connectivity analysis was performed on the filtered signal using generalized measure of association, to observe if the network connectivity changes from one stimulus to the other. In this paper, we investigate the effect of the bandpass filter on the discriminability of the stimuli over different filter orders and quality factors. We observe that the network connectivity is stable over a significant range of parameter values of the filter, thus establishing the desired robustness.

[1]  Matthias M. Müller,et al.  Early modulation of visual perception by emotional arousal: Evidence from steady-state visual evoked brain potentials , 2003, Cognitive, affective & behavioral neuroscience.

[2]  G. Marsaglia,et al.  Evaluating Kolmogorov's distribution , 2003 .

[3]  P. Lang International Affective Picture System (IAPS) : Technical Manual and Affective Ratings , 1995 .

[4]  Austin J. Brockmeier,et al.  Evaluating dependence in spike train metric spaces , 2011, The 2011 International Joint Conference on Neural Networks.

[5]  Robert Turner,et al.  A Method for Removing Imaging Artifact from Continuous EEG Recorded during Functional MRI , 2000, NeuroImage.

[6]  John R. Anderson Cognitive Psychology and Its Implications , 1980 .

[7]  P. Lang,et al.  Re‐entrant projections modulate visual cortex in affective perception: Evidence from Granger causality analysis , 2009, Human brain mapping.

[8]  B. Rockstroh,et al.  Mapping EEG-potentials on the surface of the brain: A strategy for uncovering cortical sources , 2005, Brain Topography.

[9]  Jason Wittenberg,et al.  Clarify: Software for Interpreting and Presenting Statistical Results , 2003 .

[10]  A. Keil,et al.  Neural mechanisms of evoked oscillations: Stability and interaction with transient events , 2007, Human brain mapping.

[11]  A. Keil,et al.  Normal Electrocortical Facilitation But Abnormal Target Identification during Visual Sustained Attention in Schizophrenia , 2008, The Journal of Neuroscience.

[12]  J. R. Baker,et al.  Simultaneous functional magnetic resonance imaging and electrophysiological recording , 1995 .