A Surface-Based Approach to Quantify Local

The high complexity of cortical convolutions in hu- mans is very challenging both for engineers to measure and com- pare it, and for biologists and physicians to understand it. In this paper, we propose a surface-based method for the quantification of cortical gyrification. Our method uses accurate 3-D cortical re- construction and computes local measurements of gyrification at thousands of points over the whole cortical surface. The potential of our method to identify and localize precisely gyral abnormali- ties is illustrated by a clinical study on a group of children affected by 22q11 Deletion Syndrome, compared to control individuals. Index Terms—Cortical complexity, gyrification, neuroimaging, statistical analysis, surface-based anatomical modeling.

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