Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
23286144
TITLE
Test-retest reliability of graph theory measures of structural brain connectivity.
ABSTRACT
The human connectome has recently become a popular research topic in neuroscience, and many new algorithms have been applied to analyze brain networks. In particular, network topology measures from graph theory have been adapted to analyze network efficiency and 'small-world' properties. While there has been a surge in the number of papers examining connectivity through graph theory, questions remain about its test-retest reliability (TRT). In particular, the reproducibility of structural connectivity measures has not been assessed. We examined the TRT of global connectivity measures generated from graph theory analyses of 17 young adults who underwent two high-angular resolution diffusion (HARDI) scans approximately 3 months apart. Of the measures assessed, modularity had the highest TRT, and it was stable across a range of sparsities (a thresholding parameter used to define which network edges are retained). These reliability measures underline the need to develop network descriptors that are robust to acquisition parameters.
DATE PUBLISHED
2012
HISTORY
PUBSTATUS PUBSTATUSDATE
entrez 2013/01/05 06:00
pubmed 2013/01/05 06:00
medline 2013/01/30 06:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Dennis EL Dennis Emily L EL Imaging Genetics Center, Laboratory of Neuro Imaging, UCLA, CA, USA.
Jahanshad N Jahanshad Neda N
Toga AW Toga Arthur W AW
McMahon KL McMahon Katie L KL
de Zubicaray GI de Zubicaray Greig I GI
Martin NG Martin Nicholas G NG
Wright MJ Wright Margaret J MJ
Thompson PM Thompson Paul M PM
INVESTIGATORS
JOURNAL
VOLUME: 15
ISSUE: Pt 3
TITLE: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
ISOABBREVIATION: Med Image Comput Comput Assist Interv
YEAR: 2012
MONTH:
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Print
ISSN:
ISSNTYPE:
MEDLINE JOURNAL
MEDLINETA: Med Image Comput Comput Assist Interv
COUNTRY: Germany
ISSNLINKING: 1433-7851
NLMUNIQUEID: 101249582
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
COMMENTS AND CORRECTIONS
REFTYPE REFSOURCE REFPMID NOTE
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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
DESCRIPTORNAME QUALIFIERNAME
Algorithms
Brain anatomy & histology
Connectome methods
Diffusion Tensor Imaging methods
Female methods
Humans methods
Image Enhancement methods
Image Interpretation, Computer-Assisted methods
Male methods
Nerve Fibers, Myelinated ultrastructure
Nerve Net anatomy & histology
Reproducibility of Results anatomy & histology
Sensitivity and Specificity anatomy & histology
Young Adult anatomy & histology
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's
OTHERID SOURCE
NIHMS575977 NLM
PMC4039303 NLM