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  Quantifying brain connectivity: A comparative tractography study

Yo, T.-S., Anwander, A., Descoteaux, M., Fillard, P., Poupon, C., & Knösche, T. R. (2009). Quantifying brain connectivity: A comparative tractography study. In G.-Z. Yang, D. Hawkes, D. Rueckert, A. Noble, & C. Taylor (Eds.), 12th International Conference of Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, Part I (pp. 886-893). Heidelberg: Springer.

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 Urheber:
Yo, Ting-Shuo1, Autor           
Anwander, Alfred1, Autor           
Descoteaux, Maxime2, Autor
Fillard, Pierre2, Autor
Poupon, Cyril2, Autor
Knösche, Thomas R.1, Autor           
Affiliations:
1Methods and Development Unit Cortical Networks and Cognitive Functions, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634557              
2External Organizations, ou_persistent22              

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Schlagwörter: Fractional Anisotropy; Local Model; Representative Selection; Anatomical Connectivity; Dynamic Causal Modelling
 Zusammenfassung: In this paper, we compare a representative selection of current state-of-the-art algorithms in diffusion-weighted magnetic resonance imaging (dwMRI) tractography, and propose a novel way to quantitatively define the connectivity between brain regions. As criterion for the comparison, we quantify the connectivity computed with the different methods. We provide initial results using diffusion tensor, spherical deconvolution, ball-and-stick model, and persistent angular structure (PAS) along with deterministic and probabilistic tractography algorithms on a human DWI dataset. The connectivity is presented for a representative selection of regions in the brain in matrices and connectograms.Our results show that fiber crossing models are able to reveal connections between more brain areas than the simple tensor model. Probabilistic approaches show in average more connected regions but lower connectivity values than deterministic methods.

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Sprache(n): eng - English
 Datum: 2009-09-20
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1007/978-3-642-04268-3_109
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Titel: 12th International Conference of Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, Part I
Genre der Quelle: Konferenzband
 Urheber:
Yang, G.-Z.1, Herausgeber
Hawkes, D.1, Herausgeber
Rueckert, D.1, Herausgeber
Noble, A.1, Herausgeber
Taylor, C.1, Herausgeber
Affiliations:
1 External Organizations, ou_persistent22            
Ort, Verlag, Ausgabe: Heidelberg : Springer
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 886 - 893 Identifikator: -