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activities:theme3:projects:semantic-annotation:index [2010/11/18 17:51]
flalys
activities:theme3:projects:semantic-annotation:index [2015/01/21 17:15]
gibaud
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 ====== Description ====== ====== Description ======
 +===== Connections within the central area =====
 +
  
 In a preliminary phase of the project (Master student work of Elsa Magro in 2010) we investigated in a population of 20 healthy subjects the connections within the central area, based on a ROI parcellation deduced from the sulcal folds (figure 1). In a preliminary phase of the project (Master student work of Elsa Magro in 2010) we investigated in a population of 20 healthy subjects the connections within the central area, based on a ROI parcellation deduced from the sulcal folds (figure 1).
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-In the following of the project we are going to propose ​new methods ​to jointly ​annotate ​regions ​of the brain cortex and fiber bundles connecting thembased on prior knowledge embedded ​in an ontology. ​+ 
 +===== Ontology-based approach for in vivo human connectomics:​ the medial Brodmann area 6 case study ===== 
 + 
 +In the following of the project we propose ​an ontology called "Human Connectomics Ontology"​ (HCO) and we show how it can be used to annotate ​in vivo human connectomics datasets. This ontology is an extension ​of the Foundational Model of Anatomy (FMA), specifically designed to represent structural connectivity imaged by diffusion tractography. It includes a subset of FMA, called Neuro-DL-FMA,​ built from several lists of brain anatomical structures: (1) the Freesurfer cortical regions (Desikan et al. 2006)(2) the white matter bundles of the JHU white matter tractography atlas (Wakana et al. 2007) and (3) list of subcortical and hippocampal structures. In Neuro-DL-FMA,​ the original object properties (such as fma:​regional_part_of and fma:​constitutional_part_of) - originally represented at the individuals'​ level - were translated at the classes'​ level (using existential restriction axioms). 
 +The HCO ontology introduces several classes and object properties to denote entities that participate ​in structural connections reconstructed by diffusion tractography,​ namely: 
 +  * Class hco:​Gray_matter_part 
 +  * Class hco:​White_matter_part 
 +  * Class hco:​MR_node 
 +  * Class hco:​MR_route 
 +  * Object property : hco:​tracto_connects / hco:​is_tracto_connected (inverse property) 
 +  * Object property : hco:​mr_connection  
 +  * Object property : hco:​continuous_with  
 + 
 +{{:​activities:​theme3:​projects:​semantic-annotation:​ontology-files-for-hco.zip|"​zip with ontology files"​}} 
 + 
 +Experiments have been conducted to show how HCO could assist in analyzing real connectomics patterns. The following annotation files describe connectomics datasets describing connections in the right medial Brodmann Area 6 in five healthy subjects. 
 + 
 +{{:​activities:​theme3:​projects:​semantic-annotation:​subject01-hco.owl.zip|"​subject 1 annotation file"​}} 
 + 
 +{{:​activities:​theme3:​projects:​semantic-annotation:​subject02-hco.owl.zip|"​subject 2 annotation file"​}} 
 + 
 +{{:​activities:​theme3:​projects:​semantic-annotation:​subject03-hco.owl.zip|"​subject 3 annotation file"​}} 
 + 
 +{{:​activities:​theme3:​projects:​semantic-annotation:​subject04-hco.owl.zip|"​subject 4 annotation file"​}} 
 + 
 +{{:​activities:​theme3:​projects:​semantic-annotation:​subject05-hco.owl.zip|"​subject 5 annotation file"​}} 
  
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