Changes in anatomical brain connectivity between ages 12 and 30: A HARDI study of 467 adolescents and adults
Dennis, E. L., Jahanshad, N., Toga, A. W., Johnson, K., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Hickie, I. B., Wright, M. J., & Thompson, P. M. (2012) Changes in anatomical brain connectivity between ages 12 and 30: A HARDI study of 467 adolescents and adults. In 2012 9th IEEE International Symposium on Biomedical Imaging : From Nano to Macro : proceedings : May 2-5, 2012, Barcelona, Spain, IEEE, Barcelona, Spain, pp. 904-907.
Graph theory can be applied to matrices that represent the brain's anatomical connections, to better understand global properties of anatomical networks, such as their clustering, efficiency and "small-world" topology. Network analysis is popular in adult studies of connectivity, but only one study - in just 30 subjects - has examined how network measures change as the brain develops over this period. Here we assessed the developmental trajectory of graph theory metrics of structural brain connectivity in a cross-sectional study of 467 subjects, aged 12 to 30. We computed network measures from 70×70 connectivity matrices of fiber density generated using whole-brain tractography in 4-Tesla 105-gradient high angular resolution diffusion images (HARDI). We assessed global efficiency and modularity, and both age and age 2 effects were identified. HARDI-based connectivity maps are sensitive to the remodeling and refinement of structural brain connections as the human brain develops.
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|Item Type:||Conference Paper|
|Keywords:||development, graph theory, high angular resolution diffusion imaging (HARDI), network analyses, structural connectivity, tractography|
|Divisions:||Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
|Copyright Owner:||Copyright 2012 IEEE|
|Deposited On:||01 Sep 2015 05:24|
|Last Modified:||03 Sep 2015 04:11|
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