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Analysis of the striato-thalamo-cortical connectivity on the cortical surface to infer biomarkers of Huntington's disease.
- Source :
-
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention [Med Image Comput Comput Assist Interv] 2010; Vol. 13 (Pt 2), pp. 217-24. - Publication Year :
- 2010
-
Abstract
- The deep brain nuclei play an important role in many brain functions and particularly motor control. Damage to these structures result in movement disorders such as in Parkinson's disease or Huntington's disease, or behavioural disorders such as Tourette syndrome. In this paper, we propose to study the connectivity profile of the deep nuclei to the motor, associative or limbic areas and we introduce a novel tool to build a probabilistic atlas of these connections to the cortex directly on the surface of the cortical mantel, as it corresponds to the space of functional interest. The tool is then applied on two populations of healthy volunteers and patients suffering from severe Huntington's disease to produce two surface atlases of the connectivity of the basal ganglia to the cortical areas. Finally, robust statistics are used to characterize the differences of that connectivity between the two populations, providing new connectivity-based biomarkers of the pathology.
- Subjects :
- Algorithms
Biomarkers analysis
Humans
Image Enhancement methods
Neural Pathways pathology
Reproducibility of Results
Sensitivity and Specificity
Brain pathology
Cerebral Cortex pathology
Corpus Striatum pathology
Diffusion Tensor Imaging methods
Huntington Disease pathology
Image Interpretation, Computer-Assisted methods
Thalamus pathology
Subjects
Details
- Language :
- English
- Volume :
- 13
- Issue :
- Pt 2
- Database :
- MEDLINE
- Journal :
- Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
- Publication Type :
- Academic Journal
- Accession number :
- 20879318
- Full Text :
- https://doi.org/10.1007/978-3-642-15745-5_27