ESTIMATION OF SHAPE AND GROWTH BRAIN NETWORK ATLASES FOR CONNECTOMIC BRAIN MAPPING IN DEVELOPING INFANTS.

brain connectomics have heavily relied on using functional and diffusion Magnetic Resonance Imaging (MRI) modalities to examine functional and structural relationships between pairs of anatomical regions in the brain. However, research work on brain (i.e., shape-to-shape) connections, which can be derived from T1-w and T2-w MR images, in both typical and atypical development or ageing is very scarce. Furthermore, the brain cannot be only regarded as a static shape, since it is a dynamic complex system that changes at functional, structural and morphological levels. Hence, examining the 'connection' between brain and its changes with time (e.g., ) may help advance our understanding of connectomic brain dynamics as well as disorders that may affect it. To address these limitations, we unprecedentedly introduce two shape and growth connectivity analysis tools that further extend the field of connectomics to brain morphology and dynamics: . Specifically, for a population of anatomically labelled shapes, the identifies a network of anatomical shape regions that are connected when morphologically similar at a single timepoint, whereas the identifies anatomical shape regions that elicit similar evolution dynamics across successive timepoints. These proposed tools can be easily invested to examine how a baseline shape influences its deformation trajectory at later timepoints using longitudinal shape data. We evaluated these tools on 23 infants, with right and left cortical surfaces reconstructed at birth, 3, 6, 9 and 12 months of age. Investigating the relationship between the and the (from birth to 1 year of age) gave insights into brain connectivity at birth and how it develops over time.