<p>A schematic digram illustrating the major processes involved in generating the final connectivity maps. Streamline fiber tractography was performed on each diffusion tensor image and a connectivity matrix was computed based on the AAL <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0024678#pone.0024678-TzourioMazoyer1" target="_blank">[23]</a> ROIs. The fiber count matrices were constructed by enumerating the number of fibers connecting each region pair. The connectivity matrix, indicating consistent connections, was generated by thresholding the fiber count statistics.</p
AbstractBuilding a human connectome database has recently attracted the attention of many researcher...
The process of reconstructing the white matter tracts using Diffusion Tensor Imaging (DTI) refers to...
Diffusion-weighted magnetic resonance imaging can be used to non-invasively probe the brain microstr...
In this paper, we compare a representative selection of current state-of-the-art algorithms in diffu...
International audienceIn this paper, we compare a representative selection of current state-of-the-a...
The global structural connectivity of the brain can be explored in vivo with a connectivity matrix d...
Abstract. In this paper, we compare a representative selection of current state-of-the-art algorithm...
Diffusion tensor imaging (DTI) is considered to be a promising tool for revealing the anatomical bas...
<p>(1) Individual anatomical images were first coregistered into b0 images to obtain rT1 images in d...
PURPOSE: Human connectomics necessitates high-throughput, whole-brain reconstruction of multiple whi...
Diffusion MRI-based tractography is the most commonly-used technique when inferring the structural b...
We introduce a computationally efficient fODF-weighted graph structure where shortest-paths through ...
Building a human connectome database has recently attracted the attention of many researchers, altho...
Fiber tractography based on diffusion-weighted MRI provides a non-invasive characterization of the s...
Diffusion MRI-based tractography is the most commonly-used technique when inferring the structural b...
AbstractBuilding a human connectome database has recently attracted the attention of many researcher...
The process of reconstructing the white matter tracts using Diffusion Tensor Imaging (DTI) refers to...
Diffusion-weighted magnetic resonance imaging can be used to non-invasively probe the brain microstr...
In this paper, we compare a representative selection of current state-of-the-art algorithms in diffu...
International audienceIn this paper, we compare a representative selection of current state-of-the-a...
The global structural connectivity of the brain can be explored in vivo with a connectivity matrix d...
Abstract. In this paper, we compare a representative selection of current state-of-the-art algorithm...
Diffusion tensor imaging (DTI) is considered to be a promising tool for revealing the anatomical bas...
<p>(1) Individual anatomical images were first coregistered into b0 images to obtain rT1 images in d...
PURPOSE: Human connectomics necessitates high-throughput, whole-brain reconstruction of multiple whi...
Diffusion MRI-based tractography is the most commonly-used technique when inferring the structural b...
We introduce a computationally efficient fODF-weighted graph structure where shortest-paths through ...
Building a human connectome database has recently attracted the attention of many researchers, altho...
Fiber tractography based on diffusion-weighted MRI provides a non-invasive characterization of the s...
Diffusion MRI-based tractography is the most commonly-used technique when inferring the structural b...
AbstractBuilding a human connectome database has recently attracted the attention of many researcher...
The process of reconstructing the white matter tracts using Diffusion Tensor Imaging (DTI) refers to...
Diffusion-weighted magnetic resonance imaging can be used to non-invasively probe the brain microstr...