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Population-specific brain [(18)F]-FDG PET templates of Chinese subjects for statistical parametric mapping

Statistical Parametric Mapping (SPM) is a computational approach for analysing functional brain images like Positron Emission Tomography (PET). When performing SPM analysis for different patient populations, brain PET template images representing population-specific brain morphometry and metabolism...

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Detalles Bibliográficos
Autores principales: Wang, Hongkai, Tian, Yang, Liu, Yang, Chen, Zhaofeng, Zhai, Haoyu, Zhuang, Mingrui, Zhang, Nan, Jiang, Yuanfang, Gao, Ya, Feng, Hongbo, Zhang, Yanjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626451/
https://www.ncbi.nlm.nih.gov/pubmed/34836985
http://dx.doi.org/10.1038/s41597-021-01089-1
Descripción
Sumario:Statistical Parametric Mapping (SPM) is a computational approach for analysing functional brain images like Positron Emission Tomography (PET). When performing SPM analysis for different patient populations, brain PET template images representing population-specific brain morphometry and metabolism features are helpful. However, most currently available brain PET templates were constructed using the Caucasian data. To enrich the family of publicly available brain PET templates, we created Chinese-specific template images based on 116 [(18)F]-fluorodeoxyglucose ([(18)F]-FDG) PET images of normal participants. These images were warped into a common averaged space, in which the mean and standard deviation templates were both computed. We also developed the SPM analysis programmes to facilitate easy use of the templates. Our templates were validated through the SPM analysis of Alzheimer’s and Parkinson’s patient images. The resultant SPM t-maps accurately depicted the disease-related brain regions with abnormal [(18)F]-FDG uptake, proving the templates’ effectiveness in brain function impairment analysis.