Literature DB >> 30076775

Structural network topology correlates of microstructural brain dysmaturation in term infants with congenital heart disease.

Vincent J Schmithorst1, Jodie K Votava-Smith2, Nhu Tran2, Richard Kim3, Vince Lee1, Rafael Ceschin1,4, Hollie Lai5, Jennifer A Johnson6, Joan Sanchez De Toledo7, Stefan Blüml5, Lisa Paquette8, Ashok Panigrahy1,5.   

Abstract

Neonates with complex congenital heart disease (CHD) demonstrate microstructural brain dysmaturation, but the relationship with structural network topology is unknown. We performed diffusion tensor imaging (DTI) in term neonates with CHD preoperatively (N = 61) and postoperatively (N = 50) compared with healthy term controls (N = 91). We used network topology (graph) analyses incorporating different weighted and unweighted approaches and subject-specific white matter segmentation to investigate structural topology differences, as well as a voxel-based analysis (VBA) to confirm the presence of microstructural dysmaturation. We demonstrate cost-dependent network inefficiencies in neonatal CHD in the pre- and postoperative period compared with controls, related to microstructural differences. Controlling for cost, we show the presence of increased small-worldness (hierarchical fiber organization) in CHD infants preoperatively, that persists in the postoperative period compared with controls, suggesting the early presence of brain reorganization. Taken together, topological microstructural dysmaturation in CHD infants is accompanied by hierarchical fiber organization during a protracted critical period of early brain development. Our methodology also provides a pipeline for quantitation of network topology changes in neonates and infants with microstructural brain dysmaturation at risk for perinatal brain injury.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  congenital heart disease; diffusion tensor MRI; graph analysis; infant

Mesh:

Year:  2018        PMID: 30076775      PMCID: PMC6260793          DOI: 10.1002/hbm.24308

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  68 in total

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