Structural group analysis of cortical curvature and depth patterns in the developing brain

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2012, Pages 422-425

  Operto, G ^a   Auzias, G ^b   Le Troter, A ^b   Perrot, M ^a   Riviere D ^a   Dubois, J ^c   Huppi P ^d   Coulon, O ^b   Mang, J F ^e  

^a SERVICE HOSPITALIER FRÉDÉRIC JOLIOT   (France)

^b CNRS   (France)

^c U992 Cognitive NeuroImaging Unit ^*  (France)

^d GENEVA UNIVERSITY HOSPITALS   (Switzerland)

^e NONE

Author keywords

cortical folding; developing brain; intersubject variability; structural analysis

Indexed keywords

BRAIN MORPHOGENESIS; CORTICAL FOLDING; DATA SETS; DEPTH MAP; DEPTH PROFILE; GROUP ANALYSIS; GROUP LEVEL; INTERSUBJECT VARIABILITY; LOCAL MAXIMUM; STRUCTURAL GROUP ANALYSIS; SULCAL FUNDI; SURFACE-BASED;

MEDICAL IMAGING; STRUCTURAL ANALYSIS;

BRAIN;

EID: 84864842765     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2012.6235574     Document Type: Conference Paper

References (19)

1. JF. Mangin et al., "In-vivomeasurement of cortical morphology: means and meanings," Curr Opin Neurol, vol. 23-4, pp. 359-67, 2010.
2. B. Fischl et al., "Cortical folding patterns and predicting cytoarchitecture," Cereb Cort, vol. 18-8, pp. 1973-80, 2008.
3. H. Kim et al., "Basal temporal sulcal morphology in healthy controls and patients with temporal lobe epilepsy," Neurology, vol. 70-22, pp. 2159-65, 2008.
4. J. Dubois et al., "Mapping the early cortical folding process in the preterm newborn brain," Cereb Cort, vol. 18-6, pp. 1444-54, 2008.
5. T. White et al., "The development of gyrification in childhood and adolescence," Brain Cogn, vol. 72-1, pp. 36-45, 2010.
6. A. Cachia et al., "A primal sketch of the cortex mean curvature: a morphogenesis based approach to study the variability of the folding patterns," IEEE Trans Med Imag, vol. 22-6, pp. 754-765, 2003.
7. K. Im et al., "Spatial distribution of deep sulcal landmarks and hemispherical asymmetry on the cortical surface," Cereb Cort, vol. 20-3, pp. 602-11, 2010.
8. J. Lefèvre et al., "Identification of growth seeds in the neonate brain through surfacic Helmholtz decomposition," IPMI, vol. 21, pp. 252-63, 2009.
9. V. Rajagopalan et al., "Local Tissue Growth Patterns Underlying Normal Fetal Human Brain Gyrification Quantified In Utero," J Neurosci, vol. 31-8, pp. 2878- 2887, 2011.
10. H. Xue et al., "Longitudinal cortical registration for developing neonates," MICCAI, vol. 10, pp. 127-35, 2007.
11. R. Pienaar et al., "A methodology for analyzing curvature in the developing brain from preterm to adult," IJIST, vol. 18-1, pp. 42-68, 2008.
12. SP. Awate et al., "Cerebral cortical folding analysis with multivariate modeling and testing: Studies on gender differences and neonatal development," NeuroImage, vol. 53-2, pp. 450-459, 2010.
13. G. Operto et al., "Surface-based structural group analysis of fMRI data," 2008, vol. 11, pp. 959-66.
14. J. Dubois et al., "Structural asymmetries of perisylvian regions in the preterm newborn," NeuroImage, vol. 52- 1, pp. 32-42, 2010.
15. U. Yoon et al., "The effect of template choice on morphometric analysis of pediatric brain data," NeuroImage, vol. 45-3, pp. 769-77, 2009.
16. C. Clouchoux et al., "Model-driven parameterization of the cortical surface for localization and inter-subject matching," NeuroImage, vol. 50-2, pp. 552-66, 2010.
17. A. Le Troter et al., "An interactive sulcal fundi editor in BrainVisa," OHBM, 2011.
18. MD. Cykowski et al., "The central sulcus: an observerindependent characterization of sulcal landmarks and depth asymmetry," Cereb Cortex, vol. 18-9, pp. 1999- 2009, 2008.
19. J. Régis et al., "Sulcal Root Generic Model: a Hypothesis to Overcome the Variability of the Human Cortex Folding Patterns," Neurol Med Chir, vol. 45, pp. 1-17, 2004.