Abstract
Very preterm birth (less than 32 weeks completed gestation) coincides with a rapid period of brain growth and development. Investigating the changes of certain brain regions may allow the development of biomarkers for predicting neurological outcome. The prefrontal cortex, associated with the executive function, undergoes major changes during the last 10 weeks of pregnancy, and therefore its development may be altered by very-preterm birth. In this paper we use surface-based spectral matching techniques to analyse how the prefrontal cortex develops between 30 weeks and 40 weeks equivalent gestational age in 5 infants born preterm. Using this method, we can accurately map the regions where the secondary and tertiary sulci and gyri of the prefrontal cortex will form. Additionally, measurements of cortical curvature can be used to estimate the local bending energy required to generate the observed pattern of cortical folding. Longitudinal measurement of the cortical folding change can provide information about the mechanical properties of the underlying tissue and may be useful in discriminating mechanical changes during growth in this vulnerable period of development.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Marlow, N., Wolke, D., Bracewell, M.A., Samara, M.: Neurologic and Developmental Disability at Six Years of Age after Extremely Preterm Birth. New England Journal of Medicine 352(1), 9–19 (2005)
Kapellou, O., Counsell, S.J., Kennea, N., Dyet, L., Saeed, N., Stark, J., Maalouf, E., Duggan, P., Ajayi-Obe, M., Hajnal, J., Allsop, J.M., Boardman, J., Rutherford, M.A., Cowan, F., Edwards, A.D.: Abnormal cortical development after premature birth shown by altered allometric scaling of brain growth. PLoS Medicine 3(8), e265 (2006)
Volpe, J.J.: Brain injury in premature infants: a complex amalgam of destructive and developmental disturbances. Lancet Neurology 8(1), 110–124 (2009)
Miller, E.K., Cohen, J.D.: An integrative theory of prefrontal cortex function. Annual Review of Neuroscience 24, 167–202 (2001)
Chi, J.G., Dooling, E.C., Gilles, F.H.: Gyral development of the human brain. Annals of Neurology 1(1), 86–93 (1977)
Beg, M., Miller, M., Trouvé, A., Younes, L.: Computing large deformation metric mappings via geodesic flows of diffeomorphisms. International Journal of Computer Vision 61(2), 139–157 (2005)
Fischl, B., Sereno, M.I., Tootell, R.B., Dale, A.M.: High-resolution intersubject averaging and a coordinate system for the cortical surface. Human Brain Mapping 8(4), 272–284 (1999)
Yeo, B.T.T., Sabuncu, M.R., Vercauteren, T., Ayache, N., Fischl, B., Golland, P.: Spherical demons: fast diffeomorphic landmark-free surface registration. IEEE Transactions on Medical Imaging 29(3), 650–668 (2010)
Lombaert, H., Sporring, J., Siddiqi, K.: Diffeomorphic spectral matching of cortical surfaces. In: Gee, J.C., Joshi, S., Pohl, K.M., Wells, W.M., Zöllei, L. (eds.) IPMI 2013. LNCS, vol. 7917, pp. 376–389. Springer, Heidelberg (2013)
Kuklisova-Murgasova, M., Aljabar, P., Srinivasan, L., Counsell, S.J., Doria, V., Serag, A., Gousias, I.S., Boardman, J.P., Rutherford, M.A., Edwards, A.D., Hajnal, J.V., Rueckert, D.: A dynamic 4D probabilistic atlas of the developing brain. NeuroImage 54(4), 2750–2763 (2011)
Cardoso, M.J., Melbourne, A., Kendall, G.S., Modat, M., Robertson, N.J., Marlow, N., Ourselin, S.: AdaPT: An adaptive preterm segmentation algorithm for neonatal brain MRI. NeuroImage 65, 97–108 (2013)
Oishi, K., Mori, S., Donohue, P.K., Ernst, T., Anderson, L., Buchthal, S., Faria, A., Jiang, H., Li, X., Miller, M.I., van Zijl, P.C.M., Chang, L.: Multi-contrast human neonatal brain atlas: application to normal neonate development analysis. NeuroImage 56(1), 8–20 (2011)
Myronenko, A., Song, X.: Point set registration: coherent point drift. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(12), 2262–2275 (2010)
Lombaert, H., Grady, L., Polimeni, J., Cheriet, F.: FOCUSR: Feature Oriented Correspondence using Spectral Regularization-A Method for Accurate Surface Matching. PAMI, 1–18 (2012)
Joshi, P., Séquin, C.: Energy Minimizers for Curvature-Based Surface Functionals. Computer-Aided Design and Applications 4(5), 607–617 (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Orasanu, E. et al. (2015). Prefrontal Cortical Folding of the Preterm Brain: A Longitudinal Analysis of Preterm-Born Neonates. In: Durrleman, S., Fletcher, T., Gerig, G., Niethammer, M., Pennec, X. (eds) Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data. STIA 2014. Lecture Notes in Computer Science(), vol 8682. Springer, Cham. https://doi.org/10.1007/978-3-319-14905-9_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-14905-9_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14904-2
Online ISBN: 978-3-319-14905-9
eBook Packages: Computer ScienceComputer Science (R0)