Altered Integration of Structural Covariance Networks in Young Children With Type 1 Diabetes

S M Hadi Hosseini; Paul Mazaika; Nelly Mauras; Bruce Buckingham; Stuart A Weinzimer; Eva Tsalikian; Neil H White; Allan L Reiss; Diabetes Research in Children Network (DirecNet)

doi:10.1002/hbm.23293

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Altered Integration of Structural Covariance Networks in Young Children With Type 1 Diabetes

Journal article

Open access

Peer reviewed

Altered Integration of Structural Covariance Networks in Young Children With Type 1 Diabetes

S M Hadi Hosseini, Paul Mazaika, Nelly Mauras, Bruce Buckingham, Stuart A Weinzimer, Eva Tsalikian, Neil H White, Allan L Reiss and Diabetes Research in Children Network (DirecNet)

Human brain mapping, Vol.37(11), pp.4034-4046

11/2016

DOI: 10.1002/hbm.23293

PMCID: PMC5053865

PMID: 27339089

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Abstract

Type 1 diabetes mellitus (T1D), one of the most frequent chronic diseases in children, is associated with glucose dysregulation that contributes to an increased risk for neurocognitive deficits. While there is a bulk of evidence regarding neurocognitive deficits in adults with T1D, little is known about how early-onset T1D affects neural networks in young children. Recent data demonstrated widespread alterations in regional gray matter and white matter associated with T1D in young children. These widespread neuroanatomical changes might impact the organization of large-scale brain networks. In the present study, we applied graph-theoretical analysis to test whether the organization of structural covariance networks in the brain for a cohort of young children with T1D (N = 141) is altered compared to healthy controls (HC; N = 69). While the networks in both groups followed a small world organization-an architecture that is simultaneously highly segregated and integrated-the T1D network showed significantly longer path length compared with HC, suggesting reduced global integration of brain networks in young children with T1D. In addition, network robustness analysis revealed that the T1D network model showed more vulnerability to neural insult compared with HC. These results suggest that early-onset T1D negatively impacts the global organization of structural covariance networks and influences the trajectory of brain development in childhood. This is the first study to examine structural covariance networks in young children with T1D. Improving glycemic control for young children with T1D might help prevent alterations in brain networks in this population. Hum Brain Mapp 37:4034-4046, 2016. © 2016 Wiley Periodicals, Inc.

Magnetic Resonance Imaging

Brain - diagnostic imaging

Image Processing, Computer-Assisted

Humans

Neural Pathways - diagnostic imaging

Child, Preschool

Female

Male

Diabetes Mellitus, Type 1 - diagnostic imaging

Child

Cohort Studies

Details

Title: Subtitle: Altered Integration of Structural Covariance Networks in Young Children With Type 1 Diabetes
Creators: S M Hadi Hosseini - Department of Psychiatry and Behavioral Sciences, Center for Interdisciplinary Brain Sciences Research, Stanford University, Stanford, California. hosseiny@stanford.edu
Paul Mazaika - Department of Psychiatry and Behavioral Sciences, Center for Interdisciplinary Brain Sciences Research, Stanford University, Stanford, California
Nelly Mauras - Division of Endocrinology, Nemours Children's Health System, Jacksonville, Florida
Bruce Buckingham - Division of Pediatric Endocrinology, Stanford University, Stanford, California
Stuart A Weinzimer - Division of Pediatric Endocrinology, Yale University, New Haven, Connecticut
Eva Tsalikian - Division of Pediatric Endocrinology, University of Iowa, Iowa City, Iowa
Neil H White - Department of Pediatrics, Washington University, St. Louis, Missouri
Allan L Reiss - Department of Psychiatry and Behavioral Sciences, Center for Interdisciplinary Brain Sciences Research, Stanford University, Stanford, California
Diabetes Research in Children Network (DirecNet)
Resource Type: Journal article
Publication Details: Human brain mapping, Vol.37(11), pp.4034-4046
DOI: 10.1002/hbm.23293
PMID: 27339089
PMCID: PMC5053865
NLM abbreviation: Hum Brain Mapp
ISSN: 1065-9471
eISSN: 1097-0193
Grant note: U10 HD041915 / NICHD NIH HHS R01 HD078463 / NICHD NIH HHS U10 HD041908 / NICHD NIH HHS U10 HD041906 / NICHD NIH HHS K25 AG050759 / NIA NIH HHS UL1 TR001863 / NCATS NIH HHS U10 HD056526 / NICHD NIH HHS P30 DK045735 / NIDDK NIH HHS U01 HD041890 / NICHD NIH HHS U10 HD041918 / NICHD NIH HHS
Language: English
Date published: 11/2016
Academic Unit: Stead Family Department of Pediatrics; Fraternal Order of Eagles Diabetes Research Center
Record Identifier: 9984093356102771

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