作者
Maxime Chamberland, Erika P Raven, Sila Genc, Kate Duffy, Maxime Descoteaux, Greg D Parker, Chantal MW Tax, Derek K Jones
发表日期
2019/6/20
期刊
Neuroimage
卷号
200
页码范围
89-100
出版商
Science Direct
简介
Various diffusion MRI (dMRI) measures have been proposed for characterising tissue microstructure over the last 15 years. Despite the growing number of experiments using different dMRI measures in assessments of white matter, there has been limited work on: 1) examining their covariance along specific pathways; and on 2) combining these different measures to study tissue microstructure. Indeed, it quickly becomes intractable for existing analysis pipelines to process multiple measurements at each voxel and at each vertex forming a streamline, highlighting the need for new ways to visualise or analyse such high-dimensional data. In a sample of 36 typically developing children aged 8–18 years, we profiled various commonly used dMRI measures across 22 brain pathways. Using a data-reduction approach, we identified two biologically-interpretable components that capture 80% of the variance in these dMRI …
学术搜索中的文章
M Chamberland, EP Raven, S Genc, K Duffy… - NeuroImage, 2019