Transforming the neuroscience of language : Estimating pattern-to-pattern transformations of brain activity

The cognitive neuroscience of language aims at revealing how linguistic information is represented and manipulated in the brain to enable communication and meaningful behaviour. An important aspect of the underlying brain processes is the integration and transformation of information across multiple brain systems. In order to understand these processes, a detailed characterisation of brain connectivity is key. In order to characterize brain connectivity most accurately, connectivity methods should make use of the full multivariate and multidimensional information available from neuroimaging data. This should include a characterization of transformations between patterns of activation across brain regions, and in particular their dependence on stimulus features, task and context. Methods for this type of analysis in event-related experimental designs have only recently begun to emerge. This paper describes these novel developments and their potential to transform the neuroscience of language, with a focus on fMRI and EEG/MEG research.