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PMID |
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TITLE |
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CHANGES IN ANATOMICAL BRAIN CONNECTIVITY BETWEEN AGES 12 AND 30: A HARDI STUDY OF 467 ADOLESCENTS AND ADULTS. |
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ABSTRACT |
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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 70Ã?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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DATE PUBLISHED |
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HISTORY |
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PUBSTATUS |
PUBSTATUSDATE |
entrez |
2012/08/21 06:00 |
pubmed |
2012/08/21 06:00 |
medline |
2012/08/21 06:00 |
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AUTHORS |
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NAME |
COLLECTIVENAME |
LASTNAME |
FORENAME |
INITIALS |
AFFILIATION |
AFFILIATIONINFO |
Dennis EL |
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Dennis |
Emily L |
EL |
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Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA. |
Jahanshad N |
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Jahanshad |
Neda |
N |
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Toga AW |
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Toga |
Arthur W |
AW |
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Johnson K |
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Johnson |
Kori |
K |
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McMahon KL |
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McMahon |
Katie L |
KL |
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de Zubicaray GI |
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de Zubicaray |
Greig I |
GI |
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Martin NG |
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Martin |
Nicholas G |
NG |
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Hickie IB |
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Hickie |
Ian B |
IB |
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Wright MJ |
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Wright |
Margaret J |
MJ |
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Thompson PM |
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Thompson |
Paul M |
PM |
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INVESTIGATORS |
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JOURNAL |
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VOLUME: |
ISSUE: |
TITLE: Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging |
ISOABBREVIATION: Proc IEEE Int Symp Biomed Imaging |
YEAR: 2012 |
MONTH: |
DAY: |
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SEASON: |
CITEDMEDIUM: Print |
ISSN: |
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MEDLINE JOURNAL |
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MEDLINETA: Proc IEEE Int Symp Biomed Imaging |
COUNTRY: United States |
ISSNLINKING: 1945-7928 |
NLMUNIQUEID: 101492570 |
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PUBLICATION TYPE |
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PUBLICATIONTYPE TEXT |
JOURNAL ARTICLE |
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COMMENTS AND CORRECTIONS |
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GRANTS |
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GRANTID |
AGENCY |
COUNTRY |
P41 RR013642 |
NCRR NIH HHS |
United States |
R01 EB007813 |
NIBIB NIH HHS |
United States |
R01 EB008281 |
NIBIB NIH HHS |
United States |
R01 EB008432 |
NIBIB NIH HHS |
United States |
R01 HD050735 |
NICHD NIH HHS |
United States |
T32 MH073526 |
NIMH NIH HHS |
United States |
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CHEMICALS |
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