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High-order Connectomic Manifold Learning for Autistic Brain State Identification
[chapter]
2017
Lecture Notes in Computer Science
Previous studies have identified disordered functional (from fMRI) and structural (from diffusion MRI) brain connectivities in Autism Spectrum Disorder (ASD). However, 'shape connections' between brain regions were rarely investigated in ASD -e.g., how morphological attributes of a specific brain region (e.g., sulcal depth) change in relation to morphological attributes in other regions. In this paper, we use conventional T1-w MRI to define morphological connectivity networks, each quantifying
doi:10.1007/978-3-319-67159-8_7
fatcat:cjpcvux3l5bjvpg5hqgonjkcvy