机构：[a]Department of Radiology, Children's Hospital of Philadelphia, PA, USA[b]Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Shandong, China[c]Department of Radiology, Beijing Children's Hospital Affiliated to Capital Medical University, National Center for Children's Health, Beijing, China医技科室职能科室临床流行病与循证医学中心医学影像中心首都医科大学附属北京儿童医院[d]Department of Radiology, Johns Hopkins University, MD, USA[e]Advanced Imaging Research Center, University of Texas Southwestern Medical Center, TX, USA[f]Department of Radiology, Perelman School of Medicine, University of Pennsylvania, PA, USA[g]Department of Pediatrics, University of Texas Southwestern Medical Center, TX, USA
During the 3rd trimester, dramatic structural changes take place in the human brain, underlying the neural circuit formation. The survival rate of premature infants has increased significantly in recent years. The large morphological differences of the preterm brain at 33 or 36 postmenstrual weeks (PMW) from the brain at 40PMW (full term) make it necessary to establish age-specific atlases for preterm brains. In this study, with high quality (1.5 x 1.5 x 1.6 mm(3) imaging resolution) diffusion tensor imaging (DTI) data obtained from 84 healthy preterm and term-born neonates, we established age-specific preterm and term-born brain templates and atlases at 33, 36 and 39PMW. Age-specific DTI templates include a single-subject template, a population-averaged template with linear transformation and a population-averaged template with nonlinear transformation. Each of the age-specific DTI atlases includes comprehensive labeling of 126 major gray matter (GM) and white matter (WM) structures, specifically 52 cerebral cortical structures, 40 cerebral WM structures, 22 brainstem and cerebellar structures and 12 subcortical GM structures. From 33 to 39 PMW, dramatic morphological changes of delineated individual neural structures such as ganglionic eminence and uncinate fasciculus were revealed. The evaluation based on measurements of Dice ratio and L1 error suggested reliable and reproducible automated labels from the age-matched atlases compared to labels from manual delineation. Applying these atlases to automatically and effectively delineate microstructural changes of major WM tracts during the 3rd trimester was demonstrated. The established age-specific DTI templates and atlases of 33, 36 and 39 PMW brains may be used for not only understanding normal functional and structural maturational processes but also detecting biomarkers of neural disorders in the preterm brains.
基金：
National Institutes of HealthUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [NIH MH092535, NIH MH092535-04S1, NIH R01HD065955, NIH 5RC2MH089921]
语种：
外文
被引次数：
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2018]版：
大类|2 区医学
小类|1 区神经成像2 区神经科学2 区核医学
最新[2023]版：
大类|2 区医学
小类|1 区神经成像2 区神经科学2 区核医学
JCR分区：
出版当年[2017]版：
Q1NEUROSCIENCESQ1NEUROIMAGINGQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版：
Q1NEUROIMAGINGQ1NEUROSCIENCESQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
第一作者机构：[a]Department of Radiology, Children's Hospital of Philadelphia, PA, USA[b]Research Center for Sectional and Imaging Anatomy, Shandong University Cheeloo College of Medicine, Shandong, China
共同第一作者：
通讯作者：
通讯机构：[a]Department of Radiology, Children's Hospital of Philadelphia, PA, USA[e]Advanced Imaging Research Center, University of Texas Southwestern Medical Center, TX, USA[*1]3401 Civic Center Blvd, Philadelphia, PA, 19104, USA
推荐引用方式(GB/T 7714)：
Lei Feng,Hang Li,Kenichi Oishi,et al.Age-specific gray and white matter DTI atlas for human brain at 33, 36 and 39 postmenstrual weeks[J].NEUROIMAGE.2019,185:685-698.doi:10.1016/j.neuroimage.2018.06.069.
APA：
Lei Feng,Hang Li,Kenichi Oishi,Virendra Mishra,Limei Song...&Hao Huang.(2019).Age-specific gray and white matter DTI atlas for human brain at 33, 36 and 39 postmenstrual weeks.NEUROIMAGE,185,
MLA：
Lei Feng,et al."Age-specific gray and white matter DTI atlas for human brain at 33, 36 and 39 postmenstrual weeks".NEUROIMAGE 185.(2019):685-698
医学