Development of human brain cortical network architecture during infancy

The brain’s mature functional network architecture has been extensively studied but the early emergence of the brain’s network organization remains largely unknown. In this study, leveraging a large sample (143 subjects) with longitudinal rsfMRI scans (333 datasets), we aimed to characterize the imp...

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Published inBrain Structure and Function Vol. 220; no. 2; pp. 1173 - 1186
Main Authors Gao, Wei, Alcauter, Sarael, Smith, J. Keith, Gilmore, John H., Lin, Weili
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2015
Springer Nature B.V
Subjects
Adult
Age Factors
Babies
Biomedical and Life Sciences
Biomedicine
Brain
Brain Mapping - methods
Cell Biology
Cerebral Cortex - growth & development
Child Development
Child, Preschool
Female
Gender
Humans
Infant
Infant, Newborn
Linear Models
Magnetic Resonance Imaging
Male
Models, Neurological
Nerve Net - growth & development
Neurology
Neurosciences
Original Article
Retrospective Studies
Sex Factors
Early brain development
Sex effect
Resting state
Brain functional organization
Functional network
Online AccessGet full text
ISSN1863-2653
1863-2661
1863-2661
0340-2061
DOI10.1007/s00429-014-0710-3

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Abstract The brain’s mature functional network architecture has been extensively studied but the early emergence of the brain’s network organization remains largely unknown. In this study, leveraging a large sample (143 subjects) with longitudinal rsfMRI scans (333 datasets), we aimed to characterize the important developmental process of the brain’s functional network architecture during the first 2 years of life. Based on spatial independent component analysis and longitudinal linear mixed effect modeling, our results unveiled the detailed topology and growth trajectories of nine cortical functional networks. Within networks, our findings clearly separated the brains networks into two categories: primary networks were topologically adult-like in neonates while higher-order networks were topologically incomplete and isolated in neonates but demonstrated consistent synchronization during the first 2 years of life (connectivity increases 0.13–0.35). Between networks, our results demonstrated both network-level connectivity decreases (−0.02 to −0.64) and increases (0.05–0.18) but decreasing connections ( n  = 14) dominated increasing ones ( n  = 5). Finally, significant sex differences were observed with boys demonstrating faster network-level connectivity increases among the two frontoparietal networks (growth rate was 1.63e-4 per day for girls and 2.69e-4 per day for boys, p  < 1e-4). Overall, our study delineated the development of the whole brain functional architecture during the first 2 years of life featuring significant changes of both within- and between-network interactions.
AbstractList The brain’s mature functional network architecture has been extensively studied but the early emergence of the brain’s network organization remains largely unknown. In this study, leveraging a large sample (143 subjects) with longitudinal rsfMRI scans (333 datasets), we aimed to characterize the important developmental process of the brain’s functional network architecture during the first two years of life. Based on spatial independent component analysis and longitudinal linear mixed effect modeling, our results unveiled the detailed topology and growth trajectories of nine cortical functional networks. Within networks, our findings clearly separated the brains networks into two categories: primary networks were topologically adult-like in neonates while higher-order networks were topologically incomplete and isolated in neonates but demonstrated consistent synchronization during the first two years of life (connectivity increases 0.13~0.35). Between networks, our results demonstrated both network-level connectivity decreases (−0.02~−0.64) and increases (0.05~0.18) but decreasing connections (n=14) dominated increasing ones (n=5). Finally, significant sex differences were observed with boys demonstrating faster network-level connectivity increases among the two frontoparietal networks (growth rate was 1.63e-4 per day for girls and 2.69e-4 per day for boys, p<1e-4). Overall, our study delineated the development of the whole brain functional architecture during the first two years of life featuring significant changes of both within- and between-network interactions.
The brain's mature functional network architecture has been extensively studied but the early emergence of the brain's network organization remains largely unknown. In this study, leveraging a large sample (143 subjects) with longitudinal rsfMRI scans (333 datasets), we aimed to characterize the important developmental process of the brain's functional network architecture during the first 2 years of life. Based on spatial independent component analysis and longitudinal linear mixed effect modeling, our results unveiled the detailed topology and growth trajectories of nine cortical functional networks. Within networks, our findings clearly separated the brains networks into two categories: primary networks were topologically adult-like in neonates while higher-order networks were topologically incomplete and isolated in neonates but demonstrated consistent synchronization during the first 2 years of life (connectivity increases 0.13-0.35). Between networks, our results demonstrated both network-level connectivity decreases (-0.02 to -0.64) and increases (0.05-0.18) but decreasing connections (n = 14) dominated increasing ones (n = 5). Finally, significant sex differences were observed with boys demonstrating faster network-level connectivity increases among the two frontoparietal networks (growth rate was 1.63e-4 per day for girls and 2.69e-4 per day for boys, p < 1e-4). Overall, our study delineated the development of the whole brain functional architecture during the first 2 years of life featuring significant changes of both within- and between-network interactions.The brain's mature functional network architecture has been extensively studied but the early emergence of the brain's network organization remains largely unknown. In this study, leveraging a large sample (143 subjects) with longitudinal rsfMRI scans (333 datasets), we aimed to characterize the important developmental process of the brain's functional network architecture during the first 2 years of life. Based on spatial independent component analysis and longitudinal linear mixed effect modeling, our results unveiled the detailed topology and growth trajectories of nine cortical functional networks. Within networks, our findings clearly separated the brains networks into two categories: primary networks were topologically adult-like in neonates while higher-order networks were topologically incomplete and isolated in neonates but demonstrated consistent synchronization during the first 2 years of life (connectivity increases 0.13-0.35). Between networks, our results demonstrated both network-level connectivity decreases (-0.02 to -0.64) and increases (0.05-0.18) but decreasing connections (n = 14) dominated increasing ones (n = 5). Finally, significant sex differences were observed with boys demonstrating faster network-level connectivity increases among the two frontoparietal networks (growth rate was 1.63e-4 per day for girls and 2.69e-4 per day for boys, p < 1e-4). Overall, our study delineated the development of the whole brain functional architecture during the first 2 years of life featuring significant changes of both within- and between-network interactions.
The brain's mature functional network architecture has been extensively studied but the early emergence of the brain's network organization remains largely unknown. In this study, leveraging a large sample (143 subjects) with longitudinal rsfMRI scans (333 datasets), we aimed to characterize the important developmental process of the brain's functional network architecture during the first 2 years of life. Based on spatial independent component analysis and longitudinal linear mixed effect modeling, our results unveiled the detailed topology and growth trajectories of nine cortical functional networks. Within networks, our findings clearly separated the brains networks into two categories: primary networks were topologically adult-like in neonates while higher-order networks were topologically incomplete and isolated in neonates but demonstrated consistent synchronization during the first 2 years of life (connectivity increases 0.13-0.35). Between networks, our results demonstrated both network-level connectivity decreases (-0.02 to -0.64) and increases (0.05-0.18) but decreasing connections (n = 14) dominated increasing ones (n = 5). Finally, significant sex differences were observed with boys demonstrating faster network-level connectivity increases among the two frontoparietal networks (growth rate was 1.63e-4 per day for girls and 2.69e-4 per day for boys, p < 1e-4). Overall, our study delineated the development of the whole brain functional architecture during the first 2 years of life featuring significant changes of both within- and between-network interactions.
The brain’s mature functional network architecture has been extensively studied but the early emergence of the brain’s network organization remains largely unknown. In this study, leveraging a large sample (143 subjects) with longitudinal rsfMRI scans (333 datasets), we aimed to characterize the important developmental process of the brain’s functional network architecture during the first 2 years of life. Based on spatial independent component analysis and longitudinal linear mixed effect modeling, our results unveiled the detailed topology and growth trajectories of nine cortical functional networks. Within networks, our findings clearly separated the brains networks into two categories: primary networks were topologically adult-like in neonates while higher-order networks were topologically incomplete and isolated in neonates but demonstrated consistent synchronization during the first 2 years of life (connectivity increases 0.13–0.35). Between networks, our results demonstrated both network-level connectivity decreases (−0.02 to −0.64) and increases (0.05–0.18) but decreasing connections ( n  = 14) dominated increasing ones ( n  = 5). Finally, significant sex differences were observed with boys demonstrating faster network-level connectivity increases among the two frontoparietal networks (growth rate was 1.63e-4 per day for girls and 2.69e-4 per day for boys, p  < 1e-4). Overall, our study delineated the development of the whole brain functional architecture during the first 2 years of life featuring significant changes of both within- and between-network interactions.
The brain's mature functional network architecture has been extensively studied but the early emergence of the brain's network organization remains largely unknown. In this study, leveraging a large sample (143 subjects) with longitudinal rsfMRI scans (333 datasets), we aimed to characterize the important developmental process of the brain's functional network architecture during the first 2 years of life. Based on spatial independent component analysis and longitudinal linear mixed effect modeling, our results unveiled the detailed topology and growth trajectories of nine cortical functional networks. Within networks, our findings clearly separated the brains networks into two categories: primary networks were topologically adult-like in neonates while higher-order networks were topologically incomplete and isolated in neonates but demonstrated consistent synchronization during the first 2 years of life (connectivity increases 0.13-0.35). Between networks, our results demonstrated both network-level connectivity decreases (-0.02 to -0.64) and increases (0.05-0.18) but decreasing connections (n = 14) dominated increasing ones (n = 5). Finally, significant sex differences were observed with boys demonstrating faster network-level connectivity increases among the two frontoparietal networks (growth rate was 1.63e-4 per day for girls and 2.69e-4 per day for boys, p < 1e-4). Overall, our study delineated the development of the whole brain functional architecture during the first 2 years of life featuring significant changes of both within- and between-network interactions.
Author Gilmore, John H.
Smith, J. Keith
Lin, Weili
Gao, Wei
Alcauter, Sarael
AuthorAffiliation 1 Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, N.C., U.S.A
3 Department of Psychiatry, University of North Carolina at Chapel Hill, N.C., U.S.A
2 Department of Radiology, University of North Carolina at Chapel Hill, N.C., U.S.A
AuthorAffiliation_xml – name: 3 Department of Psychiatry, University of North Carolina at Chapel Hill, N.C., U.S.A
– name: 1 Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, N.C., U.S.A
– name: 2 Department of Radiology, University of North Carolina at Chapel Hill, N.C., U.S.A
Author_xml – sequence: 1
  givenname: Wei
  surname: Gao
  fullname: Gao, Wei
  email: wgao@email.unc.edu
  organization: Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill
– sequence: 2
  givenname: Sarael
  surname: Alcauter
  fullname: Alcauter, Sarael
  organization: Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill
– sequence: 3
  givenname: J. Keith
  surname: Smith
  fullname: Smith, J. Keith
  organization: Department of Radiology, University of North Carolina at Chapel Hill
– sequence: 4
  givenname: John H.
  surname: Gilmore
  fullname: Gilmore, John H.
  organization: Department of Psychiatry, University of North Carolina at Chapel Hill
– sequence: 5
  givenname: Weili
  surname: Lin
  fullname: Lin, Weili
  organization: Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill
BackLink https://www.ncbi.nlm.nih.gov/pubmed/24469153$$D View this record in MEDLINE/PubMed
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Snippet The brain’s mature functional network architecture has been extensively studied but the early emergence of the brain’s network organization remains largely...
The brain's mature functional network architecture has been extensively studied but the early emergence of the brain's network organization remains largely...
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StartPage 1173
SubjectTerms Adult
Age Factors
Babies
Biomedical and Life Sciences
Biomedicine
Brain
Brain Mapping - methods
Cell Biology
Cerebral Cortex - growth & development
Child Development
Child, Preschool
Female
Gender
Humans
Infant
Infant, Newborn
Linear Models
Magnetic Resonance Imaging
Male
Models, Neurological
Nerve Net - growth & development
Neurology
Neurosciences
Original Article
Retrospective Studies
Sex Factors
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Title Development of human brain cortical network architecture during infancy
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