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

Bonnie Alexander, Andrea L. Murray, Wai Yen Loh, Lillian G. Matthews, Chris Adamson, Richard Beare, Jian Chen, Claire E. Kelly, Sandra Rees, Simon K. Warfield, Peter J. Anderson, Lex W. Doyle, Alicia J. Spittle, Jeanie L.Y. Cheong, Marc L. Seal, Deanne K. Thompson

Research output: Contribution to journalArticleResearchpeer-review

27 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)841-851
Number of pages11
Publication statusPublished - 15 Feb 2017


  • Ground truth
  • Infant
  • Manual parcellation
  • T2-weighted MRI
  • Template

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