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Diffusion‐tensor‐imaging 1‐year‐old and 2‐year‐old infant brain atlases with comprehensive gray and white matter labels.

Authors :
Song, Limei
Peng, Yun
Ouyang, Minhui
Peng, Qinmu
Feng, Lei
Sotardi, Susan
Yu, Qinlin
Kang, Huiying
Sindabizera, Kay L.
Liu, Shuwei
Huang, Hao
Source :
Human Brain Mapping; May2024, Vol. 45 Issue 7, p1-18, 18p
Publication Year :
2024

Abstract

Human infancy is marked by fastest postnatal brain structural changes. It also coincides with the onset of many neurodevelopmental disorders. Atlas‐based automated structure labeling has been widely used for analyzing various neuroimaging data. However, the relatively large and nonlinear neuroanatomical differences between infant and adult brains can lead to significant offsets of the labeled structures in infant brains when adult brain atlas is used. Age‐specific 1‐ and 2‐year‐old brain atlases covering all major gray and white matter (GM and WM) structures with diffusion tensor imaging (DTI) and structural MRI are critical for precision medicine for infant population yet have not been established. In this study, high‐quality DTI and structural MRI data were obtained from 50 healthy children to build up three‐dimensional age‐specific 1‐ and 2‐year‐old brain templates and atlases. Age‐specific templates include a single‐subject template as well as two population‐averaged templates from linear and nonlinear transformation, respectively. Each age‐specific atlas consists of 124 comprehensively labeled major GM and WM structures, including 52 cerebral cortical, 10 deep GM, 40 WM, and 22 brainstem and cerebellar structures. When combined with appropriate registration methods, the established atlases can be used for highly accurate automatic labeling of any given infant brain MRI. We demonstrated that one can automatically and effectively delineate deep WM microstructural development from 3 to 38 months by using these age‐specific atlases. These established 1‐ and 2‐year‐old infant brain DTI atlases can advance our understanding of typical brain development and serve as clinical anatomical references for brain disorders during infancy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10659471
Volume :
45
Issue :
7
Database :
Complementary Index
Journal :
Human Brain Mapping
Publication Type :
Academic Journal
Accession number :
177243541
Full Text :
https://doi.org/10.1002/hbm.26695