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A population stereotaxic positron emission tomography brain template for the macaque and its application to ischemic model.

Authors :
Nie B
Wang L
Hu Y
Liang S
Tan Z
Chai P
Tang Y
Shang J
Pan Z
Zhao X
Zhang X
Gong J
Zheng C
Xu H
Wey HY
Liang SH
Shan B
Source :
NeuroImage [Neuroimage] 2019 Dec; Vol. 203, pp. 116163. Date of Electronic Publication: 2019 Sep 05.
Publication Year :
2019

Abstract

Purpose: Positron emission tomography (PET) is a non-invasive imaging tool for the evaluation of brain function and neuronal activity in normal and diseased conditions with high sensitivity. The macaque monkey serves as a valuable model system in the field of translational medicine, for its phylogenetic proximity to man. To translation of non-human primate neuro-PET studies, an effective and objective data analysis platform for neuro-PET studies is needed.<br />Materials and Methods: A set of stereotaxic templates of macaque brain, namely the Institute of High Energy Physics & Jinan University Macaque Template (HJT), was constructed by iteratively registration and averaging, based on 30 healthy rhesus monkeys. A brain atlas image was created in HJT space by combining sub-anatomical regions and defining new 88 bilateral functional regions, in which a unique integer was assigned for each sub-anatomical region.<br />Results: The HJT comprised a structural MRI T1 weighted image (T1WI) template image, a functional FDG-PET template image, intracranial tissue segmentations accompanied with a digital macaque brain atlas image. It is compatible with various commercially available software tools, such as SPM and PMOD. Data analysis was performed on a stroke model compared with a group of healthy controls to demonstrate the usage of HJT.<br />Conclusion: We have constructed a stereotaxic template set of macaque brain named HJT, which standardizes macaque neuroimaging data analysis, supports novel radiotracer development and facilitates translational neuro-disorders research.<br /> (Copyright © 2019 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1095-9572
Volume :
203
Database :
MEDLINE
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
31494249
Full Text :
https://doi.org/10.1016/j.neuroimage.2019.116163