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[Applause] hi folks my name is nichola and i would like to welcome you to my new ramesh flash talk i will be speaking about my latest work which deals with various methods for the identification of latent quasi-stable meg topographies in particular i tested out a few such options and tried to compare them this is very much a work in progress and much more results are yet to come neuroscientists have been observing something called resting state networks for some time now those are temporal correlations of spatially distinct areas we also believe they exhibit functional and clinical significance and are an area of active research typically these networks are observed in fmri but naturally we may characterize their electrophysiological basis using m-eeg a first-search method is a classical microstate analysis where the eg signal is thought of as a sequence of limited number of quasi-stable topographies which define latent space in our work we compare four such methods classical microstat
