Connectivity-Based Parcellation of the Cortical Mantle Using<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="E1"><mml:mi>q</mml:mi></mml:math>-Ball Diffusion Imaging

Perrin, M.; Yann, C.; Cachia, Arnaud; Poupon, Cyril; Thirion, Bertrand; Rivière, Denis; Cathier, Pascal; Kouby, Vincent El; Constantinesco, A.; Bihan, Denis Le; Mangin, Jean‐François

doi:10.1155/2008/368406

Cited by 27 publications

(31 citation statements)

References 64 publications

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“…After estimating the q-balls at every voxel of the diffusion-weighted data (b = 3000s/mm², 200 directions) by Funk-Radon transform [15], a probabilistic fibre tracking algorithm [6] was performed inside the WM to track all the fibres starting at two regions of interest, defined on the entire left and right cortical grey matter surface. Fibres were clustered using the algorithm of [16].…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…The probabilistic nature of the tractography algorithm [6] allows for a distribution of the tracked fibres, and thus the final tract definition may admit outliers. We employ filters based on fibres' start/end points dispersion, and "max-fibre distance".…”

Section: Outlier Rejectionmentioning

confidence: 99%

“…We use these rotations to turn the HARDI data (using geodesic interpolation [15]) in voxels that correspond (by nearest neighbour interpolation) to the points p ik . Rotated HARDI data corresponding to p ik of P i are weighted by tracked fibre density [6] in their related voxels and averaged (note that the weights are normalized prior to averaging). This results in the averaged HARDI H i , at the mean line point i.…”

Section: Average Hardi and Q-ballsmentioning

confidence: 99%

“…The fibres resulting from the tracking algorithm [6], could be thought of as samples from a shape distribution around the mean shape. The deviations from the mean shape, at each related point along the fibres are expected to be small, and could be approximated by Gaussians.…”

Section: Introductionmentioning

confidence: 99%

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Mean q-Ball Strings Obtained by Constrained Procrustes Analysis with Point Sliding

Kezele

Poupon

Perrin³

et al. 2008

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008

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Abstract. The idea underpinning the work we present herein is to design robust and objective tools for brain white matter (WM) morphometry. We focus on WM tracts, and propose to represent them by their mean lines, to which we associate the attributes derived from high-angular resolution diffusion imaging (HARDI). The definition of the tract mean line derives directly from the geometry of the tract fibres. We determine the fibre point correspondences and impact factors of individual fibres, upon which we estimate average HARDI models along the tract mean lines. This way we obtain a compact tract representation that exploits all the available information, and is at the same time free of the outlier influence and undesired tract edge effects.

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Section: Experiments and Resultsmentioning

confidence: 99%

Section: Outlier Rejectionmentioning

confidence: 99%

Section: Average Hardi and Q-ballsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mean q-Ball Strings Obtained by Constrained Procrustes Analysis with Point Sliding

Kezele

Poupon

Perrin³

et al. 2008

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008

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“…The first one is based on a segmentation of the brain to collapse the connectivity profiles: all the tracts reaching the same segment are summed up. This segmentation can be anatomical, for instance based on lobes or gyri [8,9,10], but the same idea could be applied with fMRI-based activation maps. In the papers cited above, the segmentation used for collapsing was based on individual data.…”

Section: Introductionmentioning

confidence: 99%

Tractography-Based Parcellation of the Cortex Using a Spatially-Informed Dimension Reduction of the Connectivity Matrix

Roca

Rivière

Guevara

et al. 2009

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009

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Abstract. Determining cortical functional areas is an important goal for neurosciences and clinical neurosurgery. This paper presents a method for connectivity-based parcellation of the entire human cortical surface, exploiting the idea that each cortex region has a specific connection profile. The connectivity matrix of the cortex is computed using analytical Q-ball-based tractography. The parcellation is achieved independently for each subject and applied to the subset of the cortical surface endowed with enough connections to estimate safely a connectivity profile, namely the top of the cortical gyri. The key point of the method lies in a twofold reduction of the connectivity matrix dimension. First, parcellation amounts to iterating the clustering of Voronoï patches of the cortical surface into parcels endowed with homogeneous profiles. The parcels without intersection with the patch boundaries are selected for the final parcellation. Before clustering a patch, the complete profiles are collapsed into short profiles indicating connectivity with a set of putative cortical areas. These areas are supposed to correspond to the catchment basins of the watershed of the density of connection to the patch computed on the cortical surface. The results obtained for several brains are compared visually using a coordinate system.

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A Multicenter Tractography Study of Deep White Matter Tracts in Bipolar I Disorder

et al. 2014

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IMPORTANCE Tractography studies investigating white matter (WM) abnormalities in patients with bipolar disorder have yielded heterogeneous results owing to small sample sizes. The small size limits their generalizability, a critical issue for neuroimaging studies of biomarkers of bipolar I disorder (BPI). OBJECTIVES To study WM abnormalities using whole-brain tractography in a large international multicenter sample of BPI patients and to compare these alterations between patients with or without a history of psychotic features during mood episodes. DESIGN, SETTING, AND PARTICIPANTS A cross-sectional, multicenter, international, Q-ball imaging tractography study comparing 118 BPI patients and 86 healthy control individuals. In addition, among the patient group, we compared those with and without a history of psychotic features. University hospitals in France, Germany, and the United States contributed participants. INTERVENTIONS Participants underwent assessment using the Diagnostic Interview for Genetic Studies at the French sites or the Structured Clinical Interview for DSM-IV at the German and US sites. Diffusion-weighted magnetic resonance images were acquired using the same acquisition parameters and scanning hardware at each site. We reconstructed 22 known deep WM tracts using Q-ball imaging tractography and an automatized segmentation technique. MAIN OUTCOMES AND MEASURES Generalized fractional anisotropy values along each reconstructed WM tract. RESULTS Compared with controls, BPI patients had significant reductions in mean generalized fractional anisotropy values along the body and the splenium of the corpus callosum, the left cingulum, and the anterior part of the left arcuate fasciculus when controlling for age, sex, and acquisition site (corrected for multiple testing). Patients with a history of psychotic features had a lower mean generalized fractional anisotropy value than those without along the body of the corpus callosum (corrected for multiple testing). CONCLUSIONS AND RELEVANCE In this multicenter sample, BPI patients had reduced WM integrity in interhemispheric, limbic, and arcuate WM tracts. Interhemispheric pathways are more disrupted in patients with than in those without psychotic symptoms. Together these results highlight the existence of an anatomic disconnectivity in BPI and further underscore a role for interhemispheric disconnectivity in the pathophysiological features of psychosis in BPI.

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Connectivity-Based Parcellation of the Cortical Mantle Usingq-Ball Diffusion Imaging

Cited by 27 publications

References 64 publications

Mean q-Ball Strings Obtained by Constrained Procrustes Analysis with Point Sliding

Mean q-Ball Strings Obtained by Constrained Procrustes Analysis with Point Sliding

Tractography-Based Parcellation of the Cortex Using a Spatially-Informed Dimension Reduction of the Connectivity Matrix

A Multicenter Tractography Study of Deep White Matter Tracts in Bipolar I Disorder

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