Parcellation-independent multi-scale framework for brain network analysis

M. D. Schirmer, G. Ball, S. J. Counsell, A. D. Edwards, D. Rueckert, J. V. Hajnal, P. Aljabar

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

3 Zitate (Scopus)

Abstract

Structural brain connectivity can be characterised by studies employing diffusion MR, tractography and the derivation of network measures. However, in some subject populations, such as neonates, the lack of a generally accepted paradigm for how the brain should be segmented or parcellated leads to the application of a variety of atlas- and random-based parcellation methods. The resulting challenge of comparing graphs with differing numbers of nodes and uncertain node correspondences has yet to be resolved, in order to enable more meaningful intraand inter-subject comparisons. This work proposes a parcellation-independent multi-scale analysis of commonly used network measures to describe changes in the brain. As an illustration, we apply our framework to a neonatal serial diffusion MRI data set and show its potential in characterising developmental changes. Furthermore, we use the measures provided by the framework to investigate the inter-dependence between network measures and apply an hierarchical clustering algorithm to determine a subset of measures for characterising the brain.

OriginalspracheEnglisch
TitelComputational Diffusion MRI - MICCAI Workshop 2014
Redakteure/-innenTorben Schneider, Marco Reisert, Lauren O’Donnell, Yogesh Rathi, Gemma Nedjati-Gilani
Herausgeber (Verlag)springer berlin
Seiten23-32
Seitenumfang10
ISBN (elektronisch)9783319111810
DOIs
PublikationsstatusVeröffentlicht - 2014
Extern publiziertJa
VeranstaltungMICCAI Workshop on Computational Diffusion MRI, CDMRI 2014 held under the auspices of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014 - Boston, USA/Vereinigte Staaten
Dauer: 18 Sept. 201418 Sept. 2014

Publikationsreihe

NameMathematics and Visualization
Band39
ISSN (Print)1612-3786
ISSN (elektronisch)2197-666X

Konferenz

KonferenzMICCAI Workshop on Computational Diffusion MRI, CDMRI 2014 held under the auspices of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014
Land/GebietUSA/Vereinigte Staaten
OrtBoston
Zeitraum18/09/1418/09/14

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