Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps.
Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps.
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DOI：
10.3389/fninf.2021.669049
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发表时间：
2021
影响因子：
3.5
通讯作者：
Cash D
中科院分区：
文献类型：
--
作者：
MacNicol E;Wright P;Kim E;Brusini I;Esteban O;Simmons C;Turkheimer FE;Cash D
人类MRI中的脑特异性资源减轻了由整个生命周期的结构变化引起的处理偏差。用于临床前成像的年龄特异性资源较少，它们仅代表发育期而不是成年期。由于大鼠概括了人类衰老的许多方面，因此假设成年大鼠的脑体积和每个组织对总脑体积的相对贡献将随着年龄而变化。来自3、5、11和17个月大的大鼠的纵向研究的数据被用来检验这一假设。使用来自组织概率图的先验信息从高分辨率结构图像估计组织体积。然而，现有的组织概率图在皮质下结构，特别是丘脑中产生不准确的灰质概率。为了解决这个问题，通过结合解剖和信号强度信息生成灰质、白色物质和CSF组织概率图。然后用混合效应模型评估年龄对体积估计的影响。结果显示，与现有资源相比，本文中对灰质体积的估计更好地匹配组织学证据。所有的组织体积都随着年龄的增长而增加，并且组织相对于总脑体积的比例在整个成年期都有所不同。因此，一组大鼠大脑模板和组织概率图从整个成人寿命被释放，以扩大临床前MRI社区的基本资源。
Age-specific resources in human MRI mitigate processing biases that arise from structural changes across the lifespan. There are fewer age-specific resources for preclinical imaging, and they only represent developmental periods rather than adulthood. Since rats recapitulate many facets of human aging, it was hypothesized that brain volume and each tissue's relative contribution to total brain volume would change with age in the adult rat. Data from a longitudinal study of rats at 3, 5, 11, and 17 months old were used to test this hypothesis. Tissue volume was estimated from high resolution structural images using a priori information from tissue probability maps. However, existing tissue probability maps generated inaccurate gray matter probabilities in subcortical structures, particularly the thalamus. To address this issue, gray matter, white matter, and CSF tissue probability maps were generated by combining anatomical and signal intensity information. The effects of age on volumetric estimations were then assessed with mixed-effects models. Results showed that herein estimation of gray matter volumes better matched histological evidence, as compared to existing resources. All tissue volumes increased with age, and the tissue proportions relative to total brain volume varied across adulthood. Consequently, a set of rat brain templates and tissue probability maps from across the adult lifespan is released to expand the preclinical MRI community's fundamental resources.
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