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Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain

Research output: Contribution to journalArticlepeer-review

Daphna Fenchel, Rali Dimitrova, Jakob Seidlitz, Emma Robinson, Dafnis Batalle, Jana Hutter, Daan Christiaens, Maximilian Pietsch, Jakki Brandon, Emer Hughes, Joanna Allsop, Camilla O'Keeffe, Anthony Price, Lucilio Cordero-Grande, Andreas Schuh, Antonios Makropoulos, Jonathan Passerat-Palmbach, Jelena Bozek, Daniel Rueckert, Jo Hajnal & 4 more Armin Raznahan, Grainne McAlonan, David Edwards, Jonathan O'Muircheartaigh

Original languageEnglish
Article number30
Pages (from-to)5767–5779
Number of pages13
JournalCerebral Cortex
Issue number11
Early online date12 Jun 2020
Accepted/In press11 May 2020
E-pub ahead of print12 Jun 2020
Published1 Nov 2020


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    Uploaded date:21 May 2020

    Version:Final published version

    Licence:CC BY

King's Authors


Interruptions to neurodevelopment during the perinatal period may have long-lasting consequences. However, to be able to investigate deviations in the foundation of proper connectivity and functional circuits, we need a measure of how this architecture evolves in the typically developing brain. To this end, in a cohort of 241 term-born infants, we used magnetic resonance imaging to estimate cortical profiles based on morphometry and microstructure over the perinatal period (37-44 weeks postmenstrual age, PMA). Using the covariance of these profiles as a measure of inter-areal network similarity (morphometric similarity networks; MSN), we clustered these networks into distinct modules. The resulting modules were consistent and symmetric, and corresponded to known functional distinctions, including sensory-motor, limbic, and association regions, and were spatially mapped onto known cytoarchitectonic tissue classes. Posterior regions became more morphometrically similar with increasing age, while peri-cingulate and medial temporal regions became more dissimilar. Network strength was associated with age: Within-network similarity increased over age suggesting emerging network distinction. These changes in cortical network architecture over an 8-week period are consistent with, and likely underpin, the highly dynamic processes occurring during this critical period. The resulting cortical profiles might provide normative reference to investigate atypical early brain development.

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