Keywords: Normal Development, Data Analysis, Structural gradients, morphological similarity network, early brain development
Motivation: While functional gradients are widely studied, the development of structural gradients—especially during the first five years, a period of major structural changes—remains largely unexplored.
Goal(s): We aim to establish a method to derive structural gradients and track their development over time.
Approach: We calculate the structural connectivity network using tractography and cortical microstructure features, then apply diffusion embedding to analyze network gradients.
Results: The first three principal axes of the structural gradients resemble functional gradients but also reveal unique spatial patterns.
Impact: For the first time at the vertex level, we map the development of neocortical structural gradients during the first five years of life, enabling fine-scale study of the functional-structural connectome relationship.
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