Dennis Emily L, Rashid Faisal, Faskowitz Josh, Jin Yan, McMahon Katie L, de Zubicaray Greig I, Martin Nicholas G, Hickie Ian B, Wright Margaret J, Jahanshad Neda, Thompson Paul M
Imaging Genetics Center, USC Keck School of Medicine, Marina del Rey, CA, USA.
Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA.
Proc IEEE Int Symp Biomed Imaging. 2017;2017:101-104. doi: 10.1109/ISBI.2017.7950478. Epub 2017 Jun 19.
Brain development is a protracted and dynamic process. Many studies have charted the trajectory of white matter development, but here we sought to map these effects in greater detail, based on a large set of fiber tracts automatically extracted from HARDI (high angular resolution diffusion imaging) at 4 tesla. We used autoMATE (automated multi-atlas tract extraction) to extract diffusivity measures along 18 of the brain's major fiber bundles in 667 young adults, aged 18-30. We examined linear and non-linear age effects on diffusivity measures, pointwise along tracts. All diffusivity measures showed both linear and non-linear age effects. Tracts with the most pronounced age effects were those that connected the temporal lobe to the rest of the brain. Nonlinear age effects were picked up strongly in the anterior and right temporo-parietal tracts.
大脑发育是一个漫长且动态的过程。许多研究描绘了白质发育的轨迹，但在此我们试图基于从4特斯拉高角分辨率扩散成像（HARDI）自动提取的大量纤维束，更详细地描绘这些影响。我们使用自动多图谱束提取（autoMATE）技术，在667名年龄在18至30岁的年轻成年人中，沿着大脑的18条主要纤维束提取扩散率测量值。我们逐点研究了扩散率测量值的线性和非线性年龄效应。所有扩散率测量值均显示出线性和非线性年龄效应。年龄效应最明显的束是那些连接颞叶与大脑其他部分的束。在前颞叶和右颞顶束中，非线性年龄效应尤为显著。
