Sparse description of the cortical surface pediatric development: A sulcal pits study

Despite the large variability of sulcal folds, their deepest points, namely the sulcal pits, provide a sparse and reproducible description of the cortical surface. Their role during the antenatal and pediatric development of the brain remains unclear. This work is the first study of the evolution of all sulcal pits during healthy pediatric development. We propose a new method to identify sulcal pits across subjects that benefits from the input of sulcal basins using a varifold metric. We then present a procedure to extract the amplitude and principal direction of sulcal pits trajectories.

[1]  P. Ellen Grant,et al.  Quantitative comparison and analysis of sulcal patterns using sulcal graph matching: A twin study , 2011, NeuroImage.

[2]  N. Gaab,et al.  Atypical Sulcal Pattern in Children with Developmental Dyslexia and At-Risk Kindergarteners. , 2016, Cerebral cortex.

[3]  Dinggang Shen,et al.  Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants , 2014, NeuroImage.

[4]  Nicolas Charon,et al.  A General Framework for Curve and Surface Comparison and Registration with Oriented Varifolds , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[5]  C. Deruelle,et al.  Localized Misfolding Within Broca's Area as a Distinctive Feature of Autistic Disorder. , 2016, Biological psychiatry. Cognitive neuroscience and neuroimaging.

[6]  Alain Trouvé,et al.  The Varifold Representation of Nonoriented Shapes for Diffeomorphic Registration , 2013, SIAM J. Imaging Sci..

[7]  Guillaume Auzias,et al.  Structural graph‐based morphometry: A multiscale searchlight framework based on sulcal pits , 2017, Medical Image Anal..

[8]  Guillaume Auzias,et al.  Deep sulcal landmarks: Algorithmic and conceptual improvements in the definition and extraction of sulcal pits , 2015, NeuroImage.

[9]  Alan C. Evans,et al.  Depth potential function for folding pattern representation, registration and analysis , 2009, Medical Image Anal..

[10]  Alan C. Evans,et al.  Spatial distribution of deep sulcal landmarks and hemispherical asymmetry on the cortical surface. , 2010, Cerebral cortex.