Structural network maturation of the preterm human brain.


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
15 01 2019
Historique:
received: 15 10 2017
revised: 13 06 2018
accepted: 14 06 2018
pubmed: 19 6 2018
medline: 8 3 2019
entrez: 19 6 2018
Statut: ppublish

Résumé

During the 3rd trimester, large-scale neural circuits are formed in the human brain, resulting in a highly efficient and segregated connectome at birth. Despite recent findings identifying important preterm human brain network properties such as rich-club organization, how the structural network develops differentially across brain regions and among different types of connections in this period is not yet known. Here, using high resolution diffusion MRI of 77 preterm-born and full-term neonates scanned at 31.9-41.7 postmenstrual weeks (PMW), we constructed structural connectivity matrices and performed graph-theory-based analyses. Faster increases of nodal efficiency were mainly located at the brain hubs distributed in primary sensorimotor regions, superior-middle frontal, and precuneus regions during 31.9-41.7PMW. Higher rates of edge strength increases were found in the rich-club and within-module connections, compared to other connections. The edge strength of short-range connections increased faster than that of long-range connections. Nodal efficiencies of the hubs predicted individual postmenstrual ages more accurately than those of non-hubs. Collectively, these findings revealed more rapid efficiency increases of the hub and rich-club connections as well as higher developmental rates of edge strength in short-range and within-module connections. These jointly underlie network segregation and differentiated emergence of brain functions.

Identifiants

pubmed: 29913282
pii: S1053-8119(18)30554-8
doi: 10.1016/j.neuroimage.2018.06.047
pmc: PMC6289855
mid: NIHMS976645
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

699-710

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH092535
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS102617
Pays : United States
Organisme : NICHD NIH HHS
ID : U54 HD086984
Pays : United States

Informations de copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

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Auteurs

Tengda Zhao (T)

State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China.

Virendra Mishra (V)

Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, 75390, United States.

Tina Jeon (T)

Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, United States.

Minhui Ouyang (M)

Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, United States.

Qinmu Peng (Q)

Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, United States.

Lina Chalak (L)

Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, 75390, United States.

Jessica Lee Wisnowski (JL)

Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, United States; Department of Radiology, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, Chile.

Roy Heyne (R)

Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, 75390, United States.

Nancy Rollins (N)

Department of Radiology, Perelman School of Medicine, University of Pennsylvania, PA, 19104, United States.

Ni Shu (N)

State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, 100875, China. Electronic address: nshu@bnu.edu.cn.

Hao Huang (H)

Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, 75390, United States; Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, PA, 19104, United States. Electronic address: huangh6@email.chop.edu.

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