ANALYSIS AND MODELLING OF STRUCTURAL AND FUNCTIONAL MRI SIGNALS

Anatomical structures among experimental subjects are very different. However, neuroscientists make inference about the population based on the confounded fact that our experimental subjects represent human population. Previously, researches addressed the problem by aligning anatomical landmarks of the cortical surface and bring subject to a common template. This approach still leaves gaps to be bridged that anatomical landmarks are not perfect reflections of functional brain area variety between different people. Recently, researches have developed ways to circumvent the inconsistency of anatomical structure to functional areas. One of them is functional hyper-alignment, which brings subjects to a same template based on functional patterns. Representational similarity analysis (RSA) also helps to eliminate this inconsistency by making it possible of comparisons in different multidimensional spaces. In our lab, we are interested in this framework of moving from representing anatomical template to functional template of the group. We are moving towards models that could provide insights to the neuroimaging society.