TY - JOUR
T1 - Evaluation of the diffusion MRI white matter tract integrity model using myelin histology and Monte-Carlo simulations
AU - Zhou, Zihan
AU - Tong, Qiqi
AU - Zhang, Lei
AU - Ding, Qiuping
AU - Lu, Hui
AU - Jonkman, Laura E.
AU - Yao, Junye
AU - He, Hongjian
AU - Zhu, Keqing
AU - Zhong, Jianhui
PY - 2020/12/1
Y1 - 2020/12/1
N2 - Quantitative evaluation of brain myelination has drawn considerable attention. Conventional diffusion-based magnetic resonance imaging models, including diffusion tensor imaging and diffusion kurtosis imaging (DKI),1 have been used to infer the microstructure and its changes in neurological diseases. White matter tract integrity (WMTI) was proposed as a biophysical model to relate the DKI-derived metrics to the underlying microstructure. Although the model has been validated on ex vivo animal brains, it was not well evaluated with ex vivo human brains. In this study, histological samples (namely corpus callosum) from postmortem human brains have been investigated based on WMTI analyses on a clinical 3T scanner and comparisons with gold standard myelin staining in proteolipid protein and Luxol fast blue. In addition, Monte Carlo simulations were conducted to link changes from ex vivo to in vivo conditions based on the microscale parameters of water diffusivity and permeability. The results show that WMTI metrics, including axonal water fraction AWF, radial extra-axonal diffusivity De⊥, and intra-axonal diffusivity Da were needed to characterize myelin content alterations. Thus, WMTI model metrics are shown to be promising candidates as sensitive biomarkers of demyelination.
AB - Quantitative evaluation of brain myelination has drawn considerable attention. Conventional diffusion-based magnetic resonance imaging models, including diffusion tensor imaging and diffusion kurtosis imaging (DKI),1 have been used to infer the microstructure and its changes in neurological diseases. White matter tract integrity (WMTI) was proposed as a biophysical model to relate the DKI-derived metrics to the underlying microstructure. Although the model has been validated on ex vivo animal brains, it was not well evaluated with ex vivo human brains. In this study, histological samples (namely corpus callosum) from postmortem human brains have been investigated based on WMTI analyses on a clinical 3T scanner and comparisons with gold standard myelin staining in proteolipid protein and Luxol fast blue. In addition, Monte Carlo simulations were conducted to link changes from ex vivo to in vivo conditions based on the microscale parameters of water diffusivity and permeability. The results show that WMTI metrics, including axonal water fraction AWF, radial extra-axonal diffusivity De⊥, and intra-axonal diffusivity Da were needed to characterize myelin content alterations. Thus, WMTI model metrics are shown to be promising candidates as sensitive biomarkers of demyelination.
KW - Demyelination
KW - Diffusion MRI
KW - Monte Carlo simulation
KW - Quantitative histology
KW - White matter tract integrity
UR - http://www.scopus.com/inward/record.url?scp=85090195716&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2020.117313
DO - 10.1016/j.neuroimage.2020.117313
M3 - Article
C2 - 32882384
SN - 1053-8119
VL - 223
JO - NeuroImage
JF - NeuroImage
M1 - 117313
ER -