Literature DB >> 26494796

Alterations in Anatomical Covariance in the Prematurely Born.

Dustin Scheinost1,2, Soo Hyun Kwon3, Cheryl Lacadie1, Betty R Vohr4, Karen C Schneider3, Xenophon Papademetris1,5, R Todd Constable1,6, Laura R Ment3,7.   

Abstract

Preterm (PT) birth results in long-term alterations in functional and structural connectivity, but the related changes in anatomical covariance are just beginning to be explored. To test the hypothesis that PT birth alters patterns of anatomical covariance, we investigated brain volumes of 25 PTs and 22 terms at young adulthood using magnetic resonance imaging. Using regional volumetrics, seed-based analyses, and whole brain graphs, we show that PT birth is associated with reduced volume in bilateral temporal and inferior frontal lobes, left caudate, left fusiform, and posterior cingulate for prematurely born subjects at young adulthood. Seed-based analyses demonstrate altered patterns of anatomical covariance for PTs compared with terms. PTs exhibit reduced covariance with R Brodmann area (BA) 47, Broca's area, and L BA 21, Wernicke's area, and white matter volume in the left prefrontal lobe, but increased covariance with R BA 47 and left cerebellum. Graph theory analyses demonstrate that measures of network complexity are significantly less robust in PTs compared with term controls. Volumes in regions showing group differences are significantly correlated with phonological awareness, the fundamental basis for reading acquisition, for the PTs. These data suggest both long-lasting and clinically significant alterations in the covariance in the PTs at young adulthood.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  anatomical covariance; connectivity; preterm; structural covariance; young adulthood

Mesh:

Year:  2017        PMID: 26494796      PMCID: PMC5939217          DOI: 10.1093/cercor/bhv248

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  61 in total

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9.  The Application of Connectome-Based Predictive Modeling to the Maternal Brain: Implications for Mother-Infant Bonding.

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