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.2012:10.1109/ISBI.2012.6235479.
doi: 10.1109/ISBI.2012.6235479.

AGREEMENT BETWEEN THE WHITE MATTER CONNECTIVITY BASED ON THE TENSOR-BASED MORPHOMETRY AND THE VOLUMETRIC WHITE MATTER PARCELLATIONS BASED ON DIFFUSION TENSOR IMAGING

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AGREEMENT BETWEEN THE WHITE MATTER CONNECTIVITY BASED ON THE TENSOR-BASED MORPHOMETRY AND THE VOLUMETRIC WHITE MATTER PARCELLATIONS BASED ON DIFFUSION TENSOR IMAGING

Seung-Goo Kim et al. Proc IEEE Int Symp Biomed Imaging.2012.

Abstract

We are interested in investigating white matter connectivity using a novel computational framework that does not use diffusion tensor imaging (DTI) but only uses T1-weighted magnetic resonance imaging. The proposed method relies on correlating Jacobian determinants across different voxels based on the tensor-based morphometry (TBM) framework. In this paper, we show agreement between the TBM-based white matter connectivity and the DTI-based white matter atlas. As an application, altered white matter connectivity in a clinical population is determined.

Keywords: brain network; structural connectivity; tensor-based morphometry; white matter atlas.

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Figures

Fig. 1
Fig. 1
Illustration of TBM-based connectivity. First JD is computed (a), partial correlation is computed factoring out age and gender by taking the genu of the corpus callosum as the seed (b). Then it is compared to given the white matter parcellations based on DTI (c).
Fig. 2
Fig. 2
An example of DTI fiber tracts that pass through the distinct parcellationsformula image (yellow) andformula image (blue) and tracts that pass throughformula image andformula image simultaneously (magenta).
Fig. 3
Fig. 3
Estimated connectivity matricesXmn for NC, PI and one of random networks.
Fig. 4
Fig. 4
The Wilcoxon rank sum test was applied to testing the between- and within-connectivity difference in the NC-, PI-and random networks. Significant differences are indicated with asterisks atα = 0.001 level.
Fig. 5
Fig. 5
white matter parcellations that show significant group differences in the connectivity between NC and PI. The mean correlation is greater in the PI than the NC (red) at the right external capsule (EC-R), the right fornix and stria terminalis (FX/ST-R) and the left superior cerebellar peduncle (SCP-L). The mean correlation is smaller in the PI than the NC (blue) at the genu of corpus callosum (GCC) and the left superior corona radiata (SCR-L).
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References

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