Understanding and modelling player motivation complements and extends research on gameflow, which helps us design entertaining games. However, identifying a player's motive profile from data available during game play remains an open challenge. An emerging technology that shows promise as a novel technique for identifying cognitive phenomena is electroencephalography. This paper presents conceptual models to support the application of electroencephalography to identification of player motivation by linking player type models and motivation theory to mental states that can be identified using electroencephalography. We conclude by examining the research challenges associated with using electroencephalography validate these models and identify player motivation during game play.