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健康猕猴大脑皮质中扩散峰度测量的神经解剖学基础

Neuroanatomical underpinning of diffusion kurtosis measurements in the cerebral cortex of healthy macaque brains.

作者信息

Zhu Tianjia, Peng Qinmu, Ouyang Austin, Huang Hao

机构信息

Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.

Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

出版信息

Magn Reson Med. 2021 Apr;85(4):1895-1908. doi: 10.1002/mrm.28548. Epub 2020 Oct 15.

DOI:10.1002/mrm.28548
PMID:33058286
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8934732/
Abstract

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 six 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 < .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.

摘要

目的

研究通过扩散峰度成像（DKI）测量的健康猕猴脑皮质微观结构的神经解剖学基础，DKI可表征非高斯水扩散。

方法

从6只猕猴死后大脑获取高分辨率DKI。基于来自另一只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）进行量化。在将DKI衍生的平均峰度（MK）图与组织学图像对齐后，在额叶/中央前回-中央后回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测量MK和基于组织学的ND。进行Pearson相关性分析以检验这些皮质MK和ND测量值之间的显著相关性。

结果

揭示了不同皮质区域皮质MK的异质性，在所有六只扫描的猕猴脑中，额叶/中央前回-中央后回皮质中的MK测量值明显且始终高于颞叶皮质。还发现额叶/中央前回-中央后回皮质中的ND测量值相应高于颞叶皮质。皮质MK的异质性与基于组织学的ND测量值的异质性相关，皮质MK与相应的ND测量值之间存在显著相关性（P <.005）。

结论

这些发现表明，DKI衍生的MK可能潜在地成为一种有效的非侵入性生物标志物，用于量化临床和神经科学研究中大脑皮质层内潜在的神经解剖学复杂性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43e7/8934732/0b2a69a547e4/nihms-1784791-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43e7/8934732/df5d578945d4/nihms-1784791-f0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43e7/8934732/0b2a69a547e4/nihms-1784791-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43e7/8934732/df5d578945d4/nihms-1784791-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43e7/8934732/e7ff05f03549/nihms-1784791-f0002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43e7/8934732/0b2a69a547e4/nihms-1784791-f0007.jpg

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