Name
Abstract | ||
|---|---|---|
This paper presents a connectivity-based parcellation of the human post-central gyrus, at the level of the group of subjects. The dimension of the clustering problem is reduced using a set of cortical regions of interest determined at the inter-subject level using a surface-based coordinate system, and representing the regions with a strong connection to the post-central gyrus. This process allows a clustering based on criteria which are more reproducible across subjects than in an intra-subject approach. We obtained parcels relatively stable in localisation across subjects as well as homogenous and well-separated to each other in terms of connectivity profiles. To address the parcellation at the inter-subject level provides a direct matching between parcels across subjects. In addition, this method allows the identification of subject-specific parcels. This property could be useful for the study of pathologies. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15745-5_43 | MICCAI (2) |
Keywords | Field | DocType |
connectivity profile,post-central gyrus,direct matching,connectivity-based parcellation,cortical region,intra-subject approach,human post-central gyrus,clustering problem,inter-subject connectivity-based parcellation,inter-subject level,strong connection,cerebral cortex,region of interest,coordinate system | Coordinate system,Pattern recognition,Computer science,Gyrus,Artificial intelligence,Human Connectome,Cerebral cortex,Cluster analysis,Anatomical connectivity | Conference |
Volume | Issue | ISSN |
13 | Pt 2 | 0302-9743 |
ISBN | Citations | PageRank |
3-642-15744-0 | 13 | 0.71 |
References | Authors | |
8 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pauline Roca | 1 | 40 | 3.07 |
| Alan Tucholka | 2 | 66 | 6.34 |
| Denis Rivière | 3 | 490 | 38.17 |
| Pamela Guevara | 4 | 174 | 13.40 |
| C Poupon | 5 | 553 | 39.31 |
| Jean-François Mangin | 6 | 863 | 71.48 |