We propose the use of force-directed graph layout as an explorative tool for connectivity-based brain parcellation studies. The method can be used as a heuristic to find the number of clusters intrinsically present in the data (if any) and to investigate their organisation. It provides an intuitive representation of the structure of the data and facilitates interactive exploration of properties...

In this paper, we propose a generic automatic approach for the par-cellation of the cortical surface into labelled gyri. These gyri are defined from a set of pairs of sulci selected by the user. The selected sulci are first automatically identified in the data, then projected onto the cortical surface. The parcellation stems from two nested Vorono¨ı diagrams computed geodesically to the cortica...

Magnetic resonance imaging (MRI) of rodent brains enables study of the development and the integrity of the brain under certain conditions (alcohol, drugs etc.). However, these images are difficult to analyze for biomedical researchers with limited image processing experience. In this paper we present an image processing pipeline running on a Midas server, a web-based data storage system. It is...

In this paper we propose a methodology for brain parcellation with anatomical and functional constraints dedicated to fMRI data analysis. The aim is to provide a representation of fMRI data at any intermediate dimensionality between voxel and region of interest. In order to fill in the gap between these two approaches we developed an automatic parcellation of the 3D cortex with an adjustable re...

The effects of the misalignment between image-intensity-based tissue segmentation and brain parcellation on assignment streamlines to network nodes: Upper panel: (a) With application anatomical constraints (e.g., Ref. 35), streamline endpoints (colored in purple) occur at GM-WM interface or within subcortical GM. (b) Due factors such as discretization structural labels, many these (purple point...