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Temporal and Spatial Evolution of Brain Network Topology during the First Two Years of Life

Overview of attention for article published in PLOS ONE, September 2011
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Title
Temporal and Spatial Evolution of Brain Network Topology during the First Two Years of Life
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0025278
Pubmed ID
Authors

Wei Gao, John H. Gilmore, Kelly S. Giovanello, Jeffery Keith Smith, Dinggang Shen, Hongtu Zhu, Weili Lin

Abstract

The mature brain features high wiring efficiency for information transfer. However, the emerging process of such an efficient topology remains elusive. With resting state functional MRI and a large cohort of normal pediatric subjects (nā€Š=ā€Š147) imaged during a critical time period of brain development, 3 wk- to 2 yr-old, the temporal and spatial evolution of brain network topology is revealed. The brain possesses the small world topology immediately after birth, followed by a remarkable improvement in whole brain wiring efficiency in 1 yr olds and becomes more stable in 2 yr olds. Regional developments of brain wiring efficiency and the evolution of functional hubs suggest differential development trend for primary and higher order cognitive functions during the first two years of life. Simulations of random errors and targeted attacks reveal an age-dependent improvement of resilience. The lower resilience to targeted attack observed in 3 wk old group is likely due to the fact that there are fewer well-established long-distance functional connections at this age whose elimination might have more profound implications in the overall efficiency of information transfer. Overall, our results offer new insights into the temporal and spatial evolution of brain topology during early brain development.

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The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Canada 3 1%
United Kingdom 1 <1%
Italy 1 <1%
Spain 1 <1%
Israel 1 <1%
Unknown 221 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 25%
Researcher 39 17%
Student > Master 26 11%
Student > Doctoral Student 21 9%
Student > Bachelor 13 6%
Other 42 18%
Unknown 34 15%
Readers by discipline Count As %
Psychology 52 22%
Neuroscience 42 18%
Agricultural and Biological Sciences 22 9%
Medicine and Dentistry 20 9%
Engineering 17 7%
Other 28 12%
Unknown 51 22%