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Development of human brain structural networks through infancy and childhood.
Huang, Hao; Shu, Ni; Mishra, Virendra; Jeon, Tina; Chalak, Lina; Wang, Zhiyue J; Rollins, Nancy; Gong, Gaolang; Cheng, Hua; Peng, Yun; Dong, Qi; He, Yong.
Afiliação
  • Huang H; Advanced Imaging Research Center Department of Radiology.
  • Shu N; State Key Laboratory of Cognitive Neuroscience and Learning and 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.
  • Mishra V; Advanced Imaging Research Center.
  • Jeon T; Advanced Imaging Research Center.
  • Chalak L; Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390-8542, USA.
  • Wang ZJ; Department of Radiology Department of Radiology, Children's Medical Center at Dallas, Dallas, TX 75235, USA.
  • Rollins N; Department of Radiology Department of Radiology, Children's Medical Center at Dallas, Dallas, TX 75235, USA.
  • Gong G; State Key Laboratory of Cognitive Neuroscience and Learning and 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.
  • Cheng H; Department of Radiology, Beijing Children's Hospital Affiliated to Capital Medical University, Beijing, China and.
  • Peng Y; Department of Radiology, Beijing Children's Hospital Affiliated to Capital Medical University, Beijing, China and.
  • Dong Q; State Key Laboratory of Cognitive Neuroscience and Learning and 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.
  • He Y; State Key Laboratory of Cognitive Neuroscience and Learning and 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.
Cereb Cortex ; 25(5): 1389-404, 2015 May.
Article em En | MEDLINE | ID: mdl-24335033
During human brain development through infancy and childhood, microstructural and macrostructural changes take place to reshape the brain's structural networks and better adapt them to sophisticated functional and cognitive requirements. However, structural topological configuration of the human brain during this specific development period is not well understood. In this study, diffusion magnetic resonance image (dMRI) of 25 neonates, 13 toddlers, and 25 preadolescents were acquired to characterize network dynamics at these 3 landmark cross-sectional ages during early childhood. dMRI tractography was used to construct human brain structural networks, and the underlying topological properties were quantified by graph-theory approaches. Modular organization and small-world attributes are evident at birth with several important topological metrics increasing monotonically during development. Most significant increases of regional nodes occur in the posterior cingulate cortex, which plays a pivotal role in the functional default mode network. Positive correlations exist between nodal efficiencies and fractional anisotropy of the white matter traced from these nodes, while correlation slopes vary among the brain regions. These results reveal substantial topological reorganization of human brain structural networks through infancy and childhood, which is likely to be the outcome of both heterogeneous strengthening of the major white matter tracts and pruning of other axonal fibers.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento / Anisotropia / Rede Nervosa / Vias Neurais Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male Idioma: En Revista: Cereb Cortex Assunto da revista: CEREBRO Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento / Anisotropia / Rede Nervosa / Vias Neurais Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male Idioma: En Revista: Cereb Cortex Assunto da revista: CEREBRO Ano de publicação: 2015 Tipo de documento: Article