Brain development during the lifespan of cynomolgus monkeys.

Neuroimage

Center of PET/CT-MRI, Department of Nuclear Medicine, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China; The Guangzhou Key Laboratory of Basic and Translational Research on Chronic Diseases, Jinan University, Guangzhou 510632, China. Electronic address:

Published: December 2024

AI Article Synopsis

  • - The study addresses the lack of suitable brain templates for cynomolgus monkeys in neuroscience research, highlighting the need for better tools to analyze neuroimaging data due to age-related changes in brain structure and function.
  • - To improve data analysis accuracy, a comprehensive set of stereotaxic brain templates has been developed, which includes various MRI and PET templates for different stages of development in cynomolgus monkeys.
  • - These new templates allow for precise localization and segmentation of brain structures, enabling more reliable studies of brain anatomy and metabolic function in non-human primates.

Article Abstract

The use of stereotaxic brain templates in automatic neuroimage analysis has become the predominant technology. However, in the context of experiment studies involving cynomolgus monkeys, there is a lack of adequate brain templates. This gap poses a challenge to effectively utilize cynomolgus monkeys in neuroscience research. Considering the dynamic changes in structural morphology and functional maturity during development and aging, particularly post-birth, improving the accuracy of image data analysis necessitates the construction of a series of stereotaxic brain templates spanning all age groups. Therefore, this study developed a comprehensive set of stereotaxic templates for development cynomolgus brain with fine substructure delineations, including T1WI MRI structural template, tissue probability map (TPM), [F]FDG PET functional template aligned in a standardized space. This template set enables precise localization and quantification of cynomolgus monkey brain tissue across different developmental stages. Additionally, it could also be used for automatic individualized substructure segmentation. By automatically generating multiple precision subregion segmentations within individual spaces, it preserves the integrity of individual data with high precision and repeatability. Our constructed cynomolgus template sets can further facilitate the accurate study of brain structure and glucose metabolism function in non-human being studies.

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Source
http://dx.doi.org/10.1016/j.neuroimage.2024.120952DOI Listing

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