Literature DB >> 27725314

A new neonatal cortical and subcortical brain atlas: the Melbourne Children's Regional Infant Brain (M-CRIB) atlas.

Bonnie Alexander1, Andrea L Murray1, Wai Yen Loh2, Lillian G Matthews3, Chris Adamson1, Richard Beare4, Jian Chen4, Claire E Kelly1, Sandra Rees5, Simon K Warfield6, Peter J Anderson7, Lex W Doyle8, Alicia J Spittle9, Jeanie L Y Cheong10, Marc L Seal7, Deanne K Thompson11.   

Abstract

Investigating neonatal brain structure and function can offer valuable insights into behaviour and cognition in healthy and clinical populations; both at term age, and longitudinally in comparison with later time points. Parcellated brain atlases for adult populations are readily available, however warping infant data to adult template space is not ideal due to morphological and tissue differences between these groups. Several parcellated neonatal atlases have been developed, although there remains strong demand for manually parcellated ground truth data with detailed cortical definition. Additionally, compatibility with existing adult atlases is favourable for use in longitudinal investigations. We aimed to address these needs by replicating the widely-used Desikan-Killiany (2006) adult cortical atlas in neonates. We also aimed to extend brain coverage by complementing this cortical scheme with basal ganglia, thalamus, cerebellum and other subcortical segmentations. Thus, we have manually parcellated these areas volumetrically using high-resolution neonatal T2-weighted MRI scans, and initial automated and manually edited tissue classification, providing 100 regions in all. Linear and nonlinear T2-weighted structural templates were also generated. In this paper we provide manual parcellation protocols, and present the parcellated probability maps and structural templates together as the Melbourne Children's Regional Infant Brain (M-CRIB) atlas.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Ground truth; Infant; Manual parcellation; T(2)-weighted MRI; Template

Mesh:

Year:  2016        PMID: 27725314     DOI: 10.1016/j.neuroimage.2016.09.068

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  28 in total

1.  TRActs constrained by UnderLying INfant anatomy (TRACULInA): An automated probabilistic tractography tool with anatomical priors for use in the newborn brain.

Authors:  Lilla Zöllei; Camilo Jaimes; Elie Saliba; P Ellen Grant; Anastasia Yendiki
Journal:  Neuroimage       Date:  2019-05-24       Impact factor: 6.556

Review 2.  Baby brain atlases.

Authors:  Kenichi Oishi; Linda Chang; Hao Huang
Journal:  Neuroimage       Date:  2018-04-03       Impact factor: 6.556

3.  The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction.

Authors:  Antonios Makropoulos; Emma C Robinson; Andreas Schuh; Robert Wright; Sean Fitzgibbon; Jelena Bozek; Serena J Counsell; Johannes Steinweg; Katy Vecchiato; Jonathan Passerat-Palmbach; Gregor Lenz; Filippo Mortari; Tencho Tenev; Eugene P Duff; Matteo Bastiani; Lucilio Cordero-Grande; Emer Hughes; Nora Tusor; Jacques-Donald Tournier; Jana Hutter; Anthony N Price; Rui Pedro A G Teixeira; Maria Murgasova; Suresh Victor; Christopher Kelly; Mary A Rutherford; Stephen M Smith; A David Edwards; Joseph V Hajnal; Mark Jenkinson; Daniel Rueckert
Journal:  Neuroimage       Date:  2018-01-31       Impact factor: 6.556

Review 4.  Computational neuroanatomy of baby brains: A review.

Authors:  Gang Li; Li Wang; Pew-Thian Yap; Fan Wang; Zhengwang Wu; Yu Meng; Pei Dong; Jaeil Kim; Feng Shi; Islem Rekik; Weili Lin; Dinggang Shen
Journal:  Neuroimage       Date:  2018-03-21       Impact factor: 6.556

5.  A Multi-Atlas Label Fusion Tool for Neonatal Brain MRI Parcellation and Quantification.

Authors:  Yoshihisa Otsuka; Linda Chang; Yukako Kawasaki; Dan Wu; Can Ceritoglu; Kumiko Oishi; Thomas Ernst; Michael Miller; Susumu Mori; Kenichi Oishi
Journal:  J Neuroimaging       Date:  2019-04-29       Impact factor: 2.486

6.  Synthetic MRI of Preterm Infants at Term-Equivalent Age: Evaluation of Diagnostic Image Quality and Automated Brain Volume Segmentation.

Authors:  T Vanderhasselt; M Naeyaert; N Watté; G-J Allemeersch; S Raeymaeckers; J Dudink; J de Mey; H Raeymaekers
Journal:  AJNR Am J Neuroradiol       Date:  2020-04-16       Impact factor: 3.825

7.  Hierarchical Complexity of the Macro-Scale Neonatal Brain.

Authors:  Manuel Blesa; Paola Galdi; Simon R Cox; Gemma Sullivan; David Q Stoye; Gillian J Lamb; Alan J Quigley; Michael J Thrippleton; Javier Escudero; Mark E Bastin; Keith M Smith; James P Boardman
Journal:  Cereb Cortex       Date:  2021-03-05       Impact factor: 5.357

8.  Mapping fetal brain development based on automated segmentation and 4D brain atlasing.

Authors:  Haotian Li; Guohui Yan; Wanrong Luo; Tingting Liu; Yan Wang; Ruibin Liu; Weihao Zheng; Yi Zhang; Kui Li; Li Zhao; Catherine Limperopoulos; Yu Zou; Dan Wu
Journal:  Brain Struct Funct       Date:  2021-05-29       Impact factor: 3.270

9.  Non-negative data-driven mapping of structural connections with application to the neonatal brain.

Authors:  E Thompson; A R Mohammadi-Nejad; E C Robinson; J L R Andersson; S Jbabdi; M F Glasser; M Bastiani; S N Sotiropoulos
Journal:  Neuroimage       Date:  2020-08-18       Impact factor: 6.556

10.  Challenges and opportunities for neuroimaging in young patients with traumatic brain injury: a coordinated effort towards advancing discovery from the ENIGMA pediatric moderate/severe TBI group.

Authors:  Emily L Dennis; Karen Caeyenberghs; Robert F Asarnow; Talin Babikian; Brenda Bartnik-Olson; Erin D Bigler; Anthony Figaji; Christopher C Giza; Naomi J Goodrich-Hunsaker; Cooper B Hodges; Kristen R Hoskinson; Marsh Königs; Harvey S Levin; Hannah M Lindsey; Abigail Livny; Jeffrey E Max; Tricia L Merkley; Mary R Newsome; Alexander Olsen; Nicholas P Ryan; Matthew S Spruiell; Stacy J Suskauer; Sophia I Thomopoulos; Ashley L Ware; Christopher G Watson; Anne L Wheeler; Keith Owen Yeates; Brandon A Zielinski; Paul M Thompson; David F Tate; Elisabeth A Wilde
Journal:  Brain Imaging Behav       Date:  2021-04       Impact factor: 3.978

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.