Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development?

Islem Rekik (Lead / Corresponding author), Gang Li, Weili Lin, Dinggang Shen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)
338 Downloads (Pure)

Abstract

The neonatal brain cortex is marked with complex and high-convoluted morphology, that undergoes dramatic changes over the first year of postnatal development. A large body of existing research works investigating ‘the developing brain’ have focused on looking at changes in cortical morphology and charting the developmental trajectories of the cortex. However, the relationship between neonatal cortical morphology and its postnatal growth trajectory was poorly investigated. Notably, understanding the multi-scale shape-growth relationship may help identify early neurodevelopmental disorders that affect it. Here, we unprecedentedly explore the question: “Do cortices that look alike in shape at birth have similar kinetic growth patterns?”. To this aim, we propose to analyze shape-growth relationship at three different scales. On a global scale, we found that neonatal cortices similar in geometric closeness are significantly correlated with their postnatal overall growth dynamics from birth till 1-year-old (r= 0.27). This finding was replicated when using shape similarity in morphology (r= 0.20). On a local scale, for both hemispheres, 20% of cortical regions displayed a significant high correlation (r> 0.4) between their similarities in morphology and dynamics. On a connectional scale, we identified hubs of cortical regions that were consistently similar in morphology and developed similarly across subjects including the cingulate cortex using a novel integral shape-growth brain graph representation.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings
EditorsAlejandro F. Frangi, Christos Davatzikos, Gabor Fichtinger, Carlos Alberola-López, Julia A. Schnabel
Place of PublicationSwitzerland
PublisherSpringer
Pages566-574
Number of pages9
Volume11072
ISBN (Electronic)9783030009311
ISBN (Print)9783030009304
DOIs
Publication statusPublished - 2018
Event21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 - Granada, Spain
Duration: 16 Sept 201820 Sept 2018

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume11072
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018
Country/TerritorySpain
CityGranada
Period16/09/1820/09/18

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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