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MSM: A new flexible framework for Multimodal Surface Matching
2014
NeuroImage
Surface-based cortical registration methods that are driven by geometrical features, such as folding, provide sub-optimal alignment of many functional areas due to variable correlation between cortical folding patterns and function. This has led to the proposal of new registration methods using features derived from functional and diffusion imaging. However, as yet there is no consensus over the best set of features for optimal alignment of brain function. In this paper we demonstrate the
doi:10.1016/j.neuroimage.2014.05.069
pmid:24939340
pmcid:PMC4190319
fatcat:4zrkee5ttjb2jcndhq2rxts56i