|
|
| PMID |
|
|
| TITLE |
|
| CHANGES IN ANATOMICAL BRAIN CONNECTIVITY BETWEEN AGES 12 AND 30: A HARDI STUDY OF 467 ADOLESCENTS AND ADULTS. |
|
| ABSTRACT |
|
|
|
| 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. |
|
| DATE PUBLISHED |
|
|
| HISTORY |
|
| PUBSTATUS |
PUBSTATUSDATE |
| entrez |
2012/08/21 06:00 |
| pubmed |
2012/08/21 06:00 |
| medline |
2012/08/21 06:00 |
|
| AUTHORS |
|
| NAME |
COLLECTIVENAME |
LASTNAME |
FORENAME |
INITIALS |
AFFILIATION |
AFFILIATIONINFO |
| Dennis EL |
|
Dennis |
Emily L |
EL |
|
Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA, USA. |
| Jahanshad N |
|
Jahanshad |
Neda |
N |
|
|
| Toga AW |
|
Toga |
Arthur W |
AW |
|
|
| Johnson K |
|
Johnson |
Kori |
K |
|
|
| McMahon KL |
|
McMahon |
Katie L |
KL |
|
|
| de Zubicaray GI |
|
de Zubicaray |
Greig I |
GI |
|
|
| Martin NG |
|
Martin |
Nicholas G |
NG |
|
|
| Hickie IB |
|
Hickie |
Ian B |
IB |
|
|
| Wright MJ |
|
Wright |
Margaret J |
MJ |
|
|
| Thompson PM |
|
Thompson |
Paul M |
PM |
|
|
|
| INVESTIGATORS |
|
|
| JOURNAL |
|
| 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: |
| MEDLINEDATE: |
| SEASON: |
| CITEDMEDIUM: Print |
| ISSN: |
| ISSNTYPE: |
|
| MEDLINE JOURNAL |
|
| MEDLINETA: Proc IEEE Int Symp Biomed Imaging |
| COUNTRY: United States |
| ISSNLINKING: 1945-7928 |
| NLMUNIQUEID: 101492570 |
|
| PUBLICATION TYPE |
|
| PUBLICATIONTYPE TEXT |
| JOURNAL ARTICLE |
|
| COMMENTS AND CORRECTIONS |
|
|
| GRANTS |
|
| 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 |
|
| GENERAL NOTE |
|
|
| KEYWORDS |
|
|
| MESH HEADINGS |
|
|
| SUPPLEMENTARY MESH |
|
|
| GENE SYMBOLS |
|
|
| CHEMICALS |
|
|
| OTHER ID's |
|
|
|