A new cortical surface parcellation model and its automatic implementation. Clouchoux, C., Coulon, O., Anton, J., Mangin, J., & Régis, J. Medical image computing and computer-assisted intervention: MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 9(Pt 2):193--200, 2006.
abstract   bibtex   
In this paper, we present an original method that aims at parcellating the cortical surface in regions functionally meaningful, from individual anatomy. The parcellation is obtained using an anatomically constrained surface-based coordinate system from which we define a complete partition of the surface. The aim of our method is to exhibit a new way to describe the cortical surface organization, in both anatomical and functional terms. The method is described together with results applied to a functional somatotopy experiments.
@article{clouchoux_new_2006,
	title = {A new cortical surface parcellation model and its automatic implementation},
	volume = {9},
	abstract = {In this paper, we present an original method that aims at parcellating the cortical surface in regions functionally meaningful, from individual anatomy. The parcellation is obtained using an anatomically constrained surface-based coordinate system from which we define a complete partition of the surface. The aim of our method is to exhibit a new way to describe the cortical surface organization, in both anatomical and functional terms. The method is described together with results applied to a functional somatotopy experiments.},
	language = {eng},
	number = {Pt 2},
	journal = {Medical image computing and computer-assisted intervention: MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
	author = {Clouchoux, Cédric and Coulon, Olivier and Anton, Jean-Luc and Mangin, Jean-François and Régis, Jean},
	year = {2006},
	pmid = {17354772},
	keywords = {Algorithms, Brain Mapping, Cerebral Cortex, Computer Simulation, Evoked Potentials, Somatosensory, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Magnetic Resonance Imaging, Models, Neurological, Reproducibility of Results, Sensitivity and Specificity},
	pages = {193--200}
}
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