Brain anatomical networks in early human brain development

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

doi:10.1016/j.neuroimage.2010.07.025

Brain anatomical networks in early human brain development

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

202 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 language	English
Pages (from-to)	1862-1871
Number of pages	10
Journal	NeuroImage
Volume	54
Issue number	3
DOIs	https://doi.org/10.1016/j.neuroimage.2010.07.025
Publication status	Published - 2011 Feb 1

Bibliographical note

Funding Information:
This work was supported in part by NSFC 30970770 , the Hundred Talents Program of Chinese Academy of Sciences , the National High Technology Research and Development Program (863 Program) of China , Grant No. 2009AA02Z302 , as well as NIH grants EB009724, EB006733, EB008374, EB009634, MH088520, MH070890, MH064065, NS055754, and HD053000 .

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Neurology
Cognitive Neuroscience

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10.1016/j.neuroimage.2010.07.025

Cite this

@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",

note = "Funding Information: This work was supported in part by NSFC 30970770 , the Hundred Talents Program of Chinese Academy of Sciences , the National High Technology Research and Development Program (863 Program) of China , Grant No. 2009AA02Z302 , as well as NIH grants EB009724, EB006733, EB008374, EB009634, MH088520, MH070890, MH064065, NS055754, and HD053000 . ",

year = "2011",

month = feb,

day = "1",

doi = "10.1016/j.neuroimage.2010.07.025",

language = "English",

volume = "54",

pages = "1862--1871",

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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

N1 - Funding Information: This work was supported in part by NSFC 30970770 , the Hundred Talents Program of Chinese Academy of Sciences , the National High Technology Research and Development Program (863 Program) of China , Grant No. 2009AA02Z302 , as well as NIH grants EB009724, EB006733, EB008374, EB009634, MH088520, MH070890, MH064065, NS055754, and HD053000 .

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.

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DO - 10.1016/j.neuroimage.2010.07.025

M3 - Article

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SN - 1053-8119

VL - 54

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JO - NeuroImage

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ER -

Brain anatomical networks in early human brain development

Abstract

Bibliographical note

UN SDGs

ASJC Scopus subject areas

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