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Neuroanatomical underpinning of diffusion kurtosis measurements in the cerebral cortex of healthy macaque brains
bioRxiv - Biophysics Pub Date : 2020-10-07 , DOI: 10.1101/2020.07.25.221093
Tianjia Zhu , Qinmu Peng , Austin Ouyang , Hao Huang

Purpose: To investigate the neuroanatomical underpinning of healthy macaque brain cortical microstructure measured by diffusion kurtosis imaging (DKI) which characterizes non-Gaussian water diffusion. Methods: High-resolution DKI was acquired from 6 postmortem macaque brains. Neurofilament density (ND) was quantified based on structure tensor from neurofilament histological images of a different macaque brain sample. After alignment of DKI-derived mean kurtosis (MK) maps to the histological images, MK and histology-based ND were measured at corresponding regions of interests characterized by distinguished cortical MK values in the prefrontal/precentral-postcentral and temporal cortices. Pearson correlation was performed to test significant correlation between these cortical MK and ND measurements. Results: Heterogeneity of cortical MK across different cortical regions was revealed, with significantly and consistently higher MK measurements in the prefrontal/precentral-postcentral cortex compared to those in the temporal cortex across all 6 scanned macaque brains. Corresponding higher ND measurements in the prefrontal/precentral-postcentral cortex than in the temporal cortex were also found. The heterogeneity of cortical MK is associated with heterogeneity of histology-based ND measurements, with significant correlation between cortical MK and corresponding ND measurements (P <0.005). Conclusion: These findings suggested that DKI-derived MK can potentially be an effective noninvasive biomarker quantifying underlying neuroanatomical complexity inside the cerebral cortical mantle for clinical and neuroscientific research.

中文翻译:

健康猕猴大脑皮层中扩散峰度测量的神经解剖学基础

目的:研究以非高斯水扩散为特征的扩散峰度成像(DKI)测量的健康猕猴大脑皮层显微结构的神经解剖基础。方法:高分辨率DKI采集自6个验尸猕猴。基于来自不同猕猴脑样本的神经丝组织学图像的结构张量,对神经丝密度(ND)进行定量。将DKI衍生的平均峰度(MK)图与组织学图像对齐后,在前额叶/中央前-中央后和颞叶皮质中以不同的皮质MK值为特征的相应感兴趣区域,对MK和基于组织学的ND进行了测量。进行皮尔逊相关性以测试这些皮质MK和ND测量值之间的显着相关性。结果:揭示了不同皮质区域的皮质MK的异质性,与所有6个扫描过的猕猴大脑的颞皮质相比,前额叶/中央前-中央后皮质的MK测量值始终保持较高水平。还发现与额叶皮质相比,前额叶/中央前-中央后皮质的ND测量值更高。皮质MK的异质性与基于组织学的ND测量的异质性相关,皮质MK与相应的ND测量之间存在显着相关性(P <0.005)。结论: 这些发现表明,DKI衍生的MK可能是一种有效的非侵入性生物标记物,可量化用于临床和神经科学研究的大脑皮层内层的潜在神经解剖学复杂性。
更新日期:2020-10-08
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