Hello, I am working on a new method for studying (left/right) hemispheric joint-involvements. The major advantage of the approach I am following, as compared to usual interhemispheric asymmetry, coherence and phase measures, is that the WHOLE hemispheric involvements (patterns of activation) are considered simultaneously, and not just an electrode pair at a time. The method is based on Matrix Decomposition methods and, possibly, extension of Blind Source Separation (Independent Componenet Analysis). For the study, I am looking for individual subject data, where each subject is involved in, say, two tasks, where the two hemisphere should interact differently. Examples are: - Reading of words with emotional and non-emotional content - Looking at face expressing emotions vs. neutral faces - Analytic vs. Spatial tasks - Maniac vs. Depressive phase of Bipolars. etc. Preferably, I would like to start analyzing ERP data, since they are shorther and cleaner files. Also because for ERP data it is possible to extend the method to study the interaction of hemispheres with specific time-lags (e.g., study the relationship if activity at peaks). I cannot offer autorship to the records owner for possible methodological papers coming out from this study. However I will aknowledge and I will share any insight acquired with the data. If then those insights are worth, an applied paper in co-authorship would be more than welcome. Thank you very much for your attention. Marco Congedo, PhD INRIA-Grenoble-France (National Institute for Informatics and Automated Research) Tel: +33 4 76615409 --------------------------------- Do you Yahoo!? Yahoo! Mail - You care about security. So do we.