Abstract
This work assesses the ability of Self Organizing Maps (SOMs) to find nonlinear association and/or connectivity among biosignals. The proposed method can find numerous applications where nonlinear biosignals are measured in spatiotemporal manner. Experiments are performed on tens of thousands of biosignals that are obtained from real biosignals by implementing a nonlinear transform, delays, additive and multiplicative random noise. Results showed that resolving association among biosignals under strong nonlinear transformation, noise, and delay is effective using SOMs.

Abstract
We propose a technical solution that enables 3D video-based in-bore movement quantification to be acquired synchronously with the BOLD function magnetic resonance imaging (fMRI) sequences. Our solution relies on in-bore video setup with 2 cameras mounted in a 90 degrees angle that allows tracking movments while acquiring fMRI sequences. In this study we show that using 3D motion quantification of a simple finger opposition paradigm we were able to map two different finger positions to two different BOLD response patterns in a typical block design protocol. The motion information was also used to adjust the block design to the actual motion start and stop improving the time accuracy of the analysis. These results reinforce the role of video based motion quantification in fMRI analysis as an independent regressor that allows new findings not discernable when using traditional block designs.

Abstract
The combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is a powerful tool to study brain function. In this study, we present a video-EEG-fMRI system where in-bore video, EEG and fMRI are acquired synchronously. To determine the added value of video in a typical EEG-fMRI scenario, we analyzed a simple motor activation paradigm (right index tapping). By using in-bore video, our results show that it is possible to determine different EEG potentials related to motion as well as to clearly distinguish the corresponding blood oxygen level dependent activations.

Abstract