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Stereotaxic 18F-FDG PET and MRI templates with three-dimensional digital atlas for statistical parametric mapping analysis of tree shrew brain

Authors :
Qi Huang
Hua Liu
Shang Wu
Shaofeng Duan
Lin Xu
Jing Wang
Hua Sun
Binbin Nie
Chen Ma
Tianhao Zhang
Baoci Shan
Panlong Li
Shengxiang Liang
Jiangning Zhou
Source :
Journal of Neuroscience Methods. 293:105-116
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Abstract

Background Tree shrews are proposed as an alternative animal model to nonhuman primates due to their close affinity to primates. Neuroimaging techniques are widely used to study brain functions and structures of humans and animals. However, tree shrews are rarely applied in neuroimaging field partly due to the lack of available species specific analysis methods. New method In this study, 10 PET/CT and 10 MRI images of tree shrew brain were used to construct PET and MRI templates; based on histological atlas we reconstructed a three-dimensional digital atlas with 628 structures delineated; then the digital atlas and templates were aligned into a stereotaxic space. Finally, we integrated the digital atlas and templates into a toolbox for tree shrew brain spatial normalization, statistical analysis and results localization. Results We validated the feasibility of the toolbox by simulated data with lesions in laterodorsal thalamic nucleus (LD). The lesion volumes of simulated PET and MRI images were ( 12.97 ± 3.91 ) mm3 and ( 7.04 ± 0.84 ) mm3. Statistical results at p Comparison with existing method(s) To our knowledge, we report the first PET template and digital atlas of tree shrew brain. Compared to the existing MRI templates, our MRI template was aligned into stereotaxic space. And the toolbox is the first software dedicated for tree shrew brain analysis. Conclusions The templates and digital atlas of tree shrew brain, as well as the toolbox, facilitate the use of tree shrews in neuroimaging field.

Details

ISSN :
01650270
Volume :
293
Database :
OpenAIRE
Journal :
Journal of Neuroscience Methods
Accession number :
edsair.doi...........3b78f71b12bf3761a97242c20fc56cb3
Full Text :
https://doi.org/10.1016/j.jneumeth.2017.09.006