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| PMID |
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| TITLE |
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| GENETIC ANALYSIS OF STRUCTURAL BRAIN CONNECTIVITY USING DICCCOL MODELS OF DIFFUSION MRI IN 522 TWINS. |
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| ABSTRACT |
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NlmCategory: UNASSIGNED |
| Genetic and environmental factors affect white matter connectivity in the normal brain, and they also influence diseases in which brain connectivity is altered. Little is known about genetic influences on brain connectivity, despite wide variations in the brain's neural pathways. Here we applied the "DICCCOL" framework to analyze structural connectivity, in 261 twin pairs (522 participants, mean age: 21.8 y ± 2.7SD). We encoded connectivity patterns by projecting the white matter (WM) bundles of all "DICCCOLs" as a tracemap (TM). Next we fitted an A/C/E structural equation model to estimate additive genetic (A), common environmental (C), and unique environmental/error (E) components of the observed variations in brain connectivity. We found 44 "heritable DICCCOLs" whose connectivity was genetically influenced (a (2)>1%); half of them showed significant heritability (a (2)>20%). Our analysis of genetic influences on WM structural connectivity suggests high heritability for some WM projection patterns, yielding new targets for genome-wide association studies. |
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| DATE PUBLISHED |
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| HISTORY |
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| PUBSTATUS |
PUBSTATUSDATE |
| entrez |
2015/09/29 06:00 |
| pubmed |
2015/09/29 06:00 |
| medline |
2015/09/29 06:00 |
| pmc-release |
2016/04/01 00:00 |
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| AUTHORS |
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| NAME |
COLLECTIVENAME |
LASTNAME |
FORENAME |
INITIALS |
AFFILIATION |
AFFILIATIONINFO |
| Zhu D |
|
Zhu |
Dajiang |
D |
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Imaging Genetics Center, University of Southern California, CA, USA. |
| Zhan L |
|
Zhan |
Liang |
L |
|
Imaging Genetics Center, University of Southern California, CA, USA. |
| Faskowitz J |
|
Faskowitz |
Joshua |
J |
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Imaging Genetics Center, University of Southern California, CA, USA. |
| Daianu M |
|
Daianu |
Madelaine |
M |
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Imaging Genetics Center, University of Southern California, CA, USA. |
| Jahanshad N |
|
Jahanshad |
Neda |
N |
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Imaging Genetics Center, University of Southern California, CA, USA. |
| de Zubicaray GI |
|
de Zubicaray |
Greig I |
GI |
|
School of Psychology, University of Queensland, Brisbane, Australia. |
| McMahon KL |
|
McMahon |
Katie L |
KL |
|
Center for Advanced Imaging, University of Queensland, Brisbane, Australia. |
| Martin NG |
|
Martin |
Nicholas G |
NG |
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QIMR Berghofer Medical Research Institute, Brisbane, Australia. |
| Wright MJ |
|
Wright |
Margaret J |
MJ |
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QIMR Berghofer Medical Research Institute, Brisbane, Australia. |
| Thompson PM |
|
Thompson |
Paul M |
PM |
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Imaging Genetics Center, University of Southern California, CA, USA. |
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| INVESTIGATORS |
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| JOURNAL |
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| VOLUME: 2015 |
| 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: 2015 |
| MONTH: Apr |
| DAY: |
| MEDLINEDATE: |
| SEASON: |
| CITEDMEDIUM: Print |
| ISSN: 1945-7928 |
| ISSNTYPE: Print |
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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 EB015922 |
NIBIB NIH HHS |
United States |
| U54 EB020403 |
NIBIB NIH HHS |
United States |
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| GENERAL NOTE |
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| KEYWORDS |
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| KEYWORD |
| DICCCOL |
| heritability |
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| MESH HEADINGS |
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| SUPPLEMENTARY MESH |
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| GENE SYMBOLS |
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| CHEMICALS |
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