Your browser doesn't support javascript.
loading
Structural network maturation of the preterm human brain.
Zhao, Tengda; Mishra, Virendra; Jeon, Tina; Ouyang, Minhui; Peng, Qinmu; Chalak, Lina; Wisnowski, Jessica Lee; Heyne, Roy; Rollins, Nancy; Shu, Ni; Huang, Hao.
Afiliação
  • 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 Labor
  • Mishra V; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, 75390, United States.
  • Jeon T; Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, United States.
  • Ouyang M; Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, United States.
  • Peng Q; Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, United States.
  • Chalak L; Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, 75390, United States.
  • 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.
  • Heyne R; Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, 75390, United States.
  • Rollins N; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, PA, 19104, United States.
  • 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 Labor
  • 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,
Neuroimage ; 185: 699-710, 2019 01 15.
Article em En | MEDLINE | ID: mdl-29913282
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.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Rede Nervosa Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male / Newborn Idioma: En Revista: Neuroimage Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Rede Nervosa Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male / Newborn Idioma: En Revista: Neuroimage Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article