Literature DB >> 31178620

Cranial thickness changes in early childhood.

Niharika Gajawelli1,2, Sean Deoni3,4, Jie Shi5, Holly Dirks4, Marius George Linguraru6,7, Marvin D Nelson8,9, Yalin Wang5, Natasha Lepore1,2,8.   

Abstract

The neurocranium changes rapidly in early childhood to accommodate the developing brain. However, developmental disorders may cause abnormal growth of the neurocranium, the most common one being craniosynostosis, affecting about 1 in 2000 children. It is important to understand how the brain and neurocranium develop together to understand the role of the neurocranium in neurodevelopmental outcomes. However, the neurocranium is not as well studied as the human brain in early childhood, due to a lack of imaging data. CT is typically employed to investigate the cranium, but, due to ionizing radiation, may only be used for clinical cases. However, the neurocranium is also visible on magnetic resonance imaging (MRI). Here, we used a large dataset of MRI images from healthy children in the age range of 1 to 2 years old and extracted the neurocranium. A conformal geometry based analysis pipeline is implemented to determine a set of statistical atlases of the neurocranium. A growth model of the neurocranium will help us understand cranial bone and suture development with respect to the brain, which will in turn inform better treatment strategies for neurocranial disorders.

Entities:  

Keywords:  Neurocranium; brain; neonatal/pediatric imaging

Year:  2017        PMID: 31178620      PMCID: PMC6554209          DOI: 10.1117/12.2286736

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  20 in total

1.  A global optimisation method for robust affine registration of brain images.

Authors:  M Jenkinson; S Smith
Journal:  Med Image Anal       Date:  2001-06       Impact factor: 8.545

2.  Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

3.  Tensor-based cortical surface morphometry via weighted spherical harmonic representation.

Authors:  Moo K Chung; Kim M Dalton; Richard J Davidson
Journal:  IEEE Trans Med Imaging       Date:  2008-08       Impact factor: 10.048

4.  Craniofacial levels and the morphological maturation of the human skull.

Authors:  Markus Bastir; Antonio Rosas; Paul O'higgins
Journal:  J Anat       Date:  2006-11       Impact factor: 2.610

5.  Material properties of human infant skull and suture at high rates.

Authors:  Brittany Coats; Susan S Margulies
Journal:  J Neurotrauma       Date:  2006-08       Impact factor: 5.269

6.  Long-term neuropsychological development in single-suture craniosynostosis treated early.

Authors:  Daniela Chieffo; Gianpiero Tamburrini; Luca Massimi; Simona Di Giovanni; Cristina Giansanti; Massimo Caldarelli; Concezio Di Rocco
Journal:  J Neurosurg Pediatr       Date:  2010-03       Impact factor: 2.375

7.  Effects of skull thickness, anisotropy, and inhomogeneity on forward EEG/ERP computations using a spherical three-dimensional resistor mesh model.

Authors:  Nicolas Chauveau; Xavier Franceries; Bernard Doyon; Bernard Rigaud; Jean Pierre Morucci; Pierre Celsis
Journal:  Hum Brain Mapp       Date:  2004-02       Impact factor: 5.038

8.  Phenotypic integration of neurocranium and brain.

Authors:  Joan T Richtsmeier; Kristina Aldridge; Valerie B DeLeon; Jayesh Panchal; Alex A Kane; Jeffrey L Marsh; Peng Yan; Theodore M Cole
Journal:  J Exp Zool B Mol Dev Evol       Date:  2006-07-15       Impact factor: 2.656

Review 9.  Fast robust automated brain extraction.

Authors:  Stephen M Smith
Journal:  Hum Brain Mapp       Date:  2002-11       Impact factor: 5.038

Review 10.  Diagnosis and management of deformational plagiocephaly.

Authors:  Shenandoah Robinson; Mark Proctor
Journal:  J Neurosurg Pediatr       Date:  2009-04       Impact factor: 2.375

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