Examining brain maturation during adolescence using graph Laplacian learning based Fourier transform
Abstract
Longitudinal neuroimaging studies have demonstrated that adolescence is a crucial developmental period of continued brain growth and change. Motivated by both achievements in graph signal processing and recent evidence that some brain areas act as hubs connecting functionally specialized systems, we propose an approach to detect these regions from a spectral analysis perspective. In particular, as the human brain undergoes substantial...
Paper Details
Title
Examining brain maturation during adolescence using graph Laplacian learning based Fourier transform
Published Date
May 1, 2020
Volume
338
Pages
108649 - 108649
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