Test-retest reliability of graph theory measures of structural brain connectivity

Dennis, Emily L., Jahanshad, Neda, Toga, Arthur W., McMahon, Katie L., de Zubicaray, Greig I., Martin, Nicholas G., Wright, Margaret J. and Thompson, Paul M. (2012). Test-retest reliability of graph theory measures of structural brain connectivity. In: Ayache, N, Delingette, H, Golland, P and Mori, K, 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2012) - Proceedings, Part III. 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2012), Nice, France, (305-312). 1-5 October 2012. doi:10.1007/978-3-642-33454-2_38

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Author Dennis, Emily L.
Jahanshad, Neda
Toga, Arthur W.
McMahon, Katie L.
de Zubicaray, Greig I.
Martin, Nicholas G.
Wright, Margaret J.
Thompson, Paul M.
Title of paper Test-retest reliability of graph theory measures of structural brain connectivity
Conference name 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2012)
Conference location Nice, France
Conference dates 1-5 October 2012
Proceedings title 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2012) - Proceedings, Part III   Check publisher's open access policy
Journal name Lecture Notes in Computer Science   Check publisher's open access policy
Series Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Place of Publication Springer
Publisher Heidelberg, Germany
Publication Year 2012
Year available 2012
Sub-type Fully published paper
DOI 10.1007/978-3-642-33454-2_38
ISBN 9783642334535
9783642334542
ISSN 0302-9743
1611-3349
Editor Ayache, N
Delingette, H
Golland, P
Mori, K
Volume 7512
Start page 305
End page 312
Total pages 8
Language eng
Abstract/Summary 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.
Subjects 2614 Theoretical Computer Science
1700 Computer Science
Keyword Network
Diffusion
Matter
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Tue, 12 Mar 2013, 03:31:50 EST by Sandrine Ducrot on behalf of Centre for Advanced Imaging