Brain anatomical networks in early human brain development

Yong Fan, Feng Shi, Jeffrey Keith Smith, Weili Lin, John H. Gilmore, Dinggang Shen

Research output: Contribution to journalArticle

134 Citations (Scopus)

Abstract

Recent neuroimaging studies have demonstrated that human brain networks have economic small-world topology and modular organization, enabling efficient information transfer among brain regions. However, it remains largely unknown how the small-world topology and modular organization of human brain networks emerge and develop. Using longitudinal MRI data of 28 healthy pediatric subjects, collected at their ages of 1. month, 1. year, and 2. years, we analyzed development patterns of brain anatomical networks derived from morphological correlations of brain regional volumes. The results show that the brain network of 1-month-olds has the characteristically economic small-world topology and nonrandom modular organization. The network's cost efficiency increases with the brain development to 1. year and 2. years, so does the modularity, providing supportive evidence for the hypothesis that the small-world topology and the modular organization of brain networks are established during early brain development to support rapid synchronization and information transfer with minimal rewiring cost, as well as to balance between local processing and global integration of information.

Original languageEnglish
Pages (from-to)1862-1871
Number of pages10
JournalNeuroImage
Volume54
Issue number3
DOIs
Publication statusPublished - 2011 Feb 1
Externally publishedYes

Fingerprint

Human Development
Brain
Organizations
Economics
Costs and Cost Analysis
Neuroimaging
Healthy Volunteers
Pediatrics

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

Cite this

Fan, Y., Shi, F., Smith, J. K., Lin, W., Gilmore, J. H., & Shen, D. (2011). Brain anatomical networks in early human brain development. NeuroImage, 54(3), 1862-1871. https://doi.org/10.1016/j.neuroimage.2010.07.025

Brain anatomical networks in early human brain development. / Fan, Yong; Shi, Feng; Smith, Jeffrey Keith; Lin, Weili; Gilmore, John H.; Shen, Dinggang.

In: NeuroImage, Vol. 54, No. 3, 01.02.2011, p. 1862-1871.

Research output: Contribution to journalArticle

Fan, Y, Shi, F, Smith, JK, Lin, W, Gilmore, JH & Shen, D 2011, 'Brain anatomical networks in early human brain development', NeuroImage, vol. 54, no. 3, pp. 1862-1871. https://doi.org/10.1016/j.neuroimage.2010.07.025
Fan, Yong ; Shi, Feng ; Smith, Jeffrey Keith ; Lin, Weili ; Gilmore, John H. ; Shen, Dinggang. / Brain anatomical networks in early human brain development. In: NeuroImage. 2011 ; Vol. 54, No. 3. pp. 1862-1871.
@article{2f462ec816b04c6abed7a887d721e104,
title = "Brain anatomical networks in early human brain development",
abstract = "Recent neuroimaging studies have demonstrated that human brain networks have economic small-world topology and modular organization, enabling efficient information transfer among brain regions. However, it remains largely unknown how the small-world topology and modular organization of human brain networks emerge and develop. Using longitudinal MRI data of 28 healthy pediatric subjects, collected at their ages of 1. month, 1. year, and 2. years, we analyzed development patterns of brain anatomical networks derived from morphological correlations of brain regional volumes. The results show that the brain network of 1-month-olds has the characteristically economic small-world topology and nonrandom modular organization. The network's cost efficiency increases with the brain development to 1. year and 2. years, so does the modularity, providing supportive evidence for the hypothesis that the small-world topology and the modular organization of brain networks are established during early brain development to support rapid synchronization and information transfer with minimal rewiring cost, as well as to balance between local processing and global integration of information.",
author = "Yong Fan and Feng Shi and Smith, {Jeffrey Keith} and Weili Lin and Gilmore, {John H.} and Dinggang Shen",
year = "2011",
month = "2",
day = "1",
doi = "10.1016/j.neuroimage.2010.07.025",
language = "English",
volume = "54",
pages = "1862--1871",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",
number = "3",

}

TY - JOUR

T1 - Brain anatomical networks in early human brain development

AU - Fan, Yong

AU - Shi, Feng

AU - Smith, Jeffrey Keith

AU - Lin, Weili

AU - Gilmore, John H.

AU - Shen, Dinggang

PY - 2011/2/1

Y1 - 2011/2/1

N2 - Recent neuroimaging studies have demonstrated that human brain networks have economic small-world topology and modular organization, enabling efficient information transfer among brain regions. However, it remains largely unknown how the small-world topology and modular organization of human brain networks emerge and develop. Using longitudinal MRI data of 28 healthy pediatric subjects, collected at their ages of 1. month, 1. year, and 2. years, we analyzed development patterns of brain anatomical networks derived from morphological correlations of brain regional volumes. The results show that the brain network of 1-month-olds has the characteristically economic small-world topology and nonrandom modular organization. The network's cost efficiency increases with the brain development to 1. year and 2. years, so does the modularity, providing supportive evidence for the hypothesis that the small-world topology and the modular organization of brain networks are established during early brain development to support rapid synchronization and information transfer with minimal rewiring cost, as well as to balance between local processing and global integration of information.

AB - Recent neuroimaging studies have demonstrated that human brain networks have economic small-world topology and modular organization, enabling efficient information transfer among brain regions. However, it remains largely unknown how the small-world topology and modular organization of human brain networks emerge and develop. Using longitudinal MRI data of 28 healthy pediatric subjects, collected at their ages of 1. month, 1. year, and 2. years, we analyzed development patterns of brain anatomical networks derived from morphological correlations of brain regional volumes. The results show that the brain network of 1-month-olds has the characteristically economic small-world topology and nonrandom modular organization. The network's cost efficiency increases with the brain development to 1. year and 2. years, so does the modularity, providing supportive evidence for the hypothesis that the small-world topology and the modular organization of brain networks are established during early brain development to support rapid synchronization and information transfer with minimal rewiring cost, as well as to balance between local processing and global integration of information.

UR - http://www.scopus.com/inward/record.url?scp=78650188765&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78650188765&partnerID=8YFLogxK

U2 - 10.1016/j.neuroimage.2010.07.025

DO - 10.1016/j.neuroimage.2010.07.025

M3 - Article

C2 - 20650319

AN - SCOPUS:78650188765

VL - 54

SP - 1862

EP - 1871

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

IS - 3

ER -