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


Por: Schmithorst VJ, Votava-Smith JK, Tran N, Kim R, Lee V, Ceschin R, Lai H, Johnson JA, Sanchez deToledo J, Blüml S, Paquette L and Panigrahy A

Publicada: 1 nov 2018 Ahead of Print: 4 ago 2018
Resumen:
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.

Filiaciones:
Schmithorst VJ:
 Department of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania

Votava-Smith JK:
 Division of Cardiology, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California

Tran N:
 Division of Cardiology, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California

Kim R:
 Division of Pediatric Cardiothoracic Surgery, Department of Surgery, Children's Hospital Los Angeles, Los Angeles, California

Lee V:
 Department of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania

Ceschin R:
 Department of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania

 Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania

Lai H:
 Department of Radiology, Children's Hospital Los Angeles, Los Angeles, California

Johnson JA:
 Division of Pediatric Cardiology, Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania

Sanchez deToledo J:
 Pediatric Cardiac Intensive Care Division, Department of Critical Care, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania

Blüml S:
 Department of Radiology, Children's Hospital Los Angeles, Los Angeles, California

Paquette L:
 Department of Pediatrics, Division of Neonatology, Children's Hospital Los Angeles, Los Angeles, California

Panigrahy A:
 Department of Pediatric Radiology, Children's Hospital of Pittsburgh of UPMC and University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania

 Department of Radiology, Children's Hospital Los Angeles, Los Angeles, California
ISSN: 10659471





HUMAN BRAIN MAPPING
Editorial
WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ, Estados Unidos America
Tipo de documento: Article
Volumen: 39 Número: 11
Páginas: 4593-4610
WOS Id: 000446831900033
ID de PubMed: 30076775
imagen Bronze, Green Accepted, Green Published

MÉTRICAS