Open AccessThe graph windowed Fourier transform: a tool to quantify the gyrification of the cerebral cortex
Author(s) -
Hamed Rabiei,
Frédéric Richard,
Muriel Roth,
Jean-Luc Anton,
Olivier Coulon,
Julien Lefèvre
Publication year - 2015
Language(s) - English
DOI - 10.54294/72cwj0
Subject(s) - gyrification , fourier transform , computer science , graph , polygon mesh , set (abstract data type) , artificial intelligence , pattern recognition (psychology) , mathematics , cerebral cortex , theoretical computer science , neuroscience , mathematical analysis , computer graphics (images) , biology , programming language
The Gyrification Index (GI) quantifies the amount of folding of a cortical surface. In this paper, we show the efficiency of spectral analysis to perform such a task, and in particular we explain how the graph windowed Fourier transform can be used as a tool to define new GIs with multiscale properties. We propose two different GIs and study their effect on a set of subjects whose cortical surfaces are modeled with triangular meshes.