A framework to study the cortical folding patterns.

By J. Mangin, D. Rivière, A. Cachia, Edouard Duchesnay, Yann Cointepas, D. Papadopoulos-Orfanos, Paola Scifo, T. Ochiai, F. Brunelle, J. Régis. NeuroImage, 2004

322 citations recorded by the source corpus.

This paper describes a decade-long research program focused on the variability of the cortical folding patterns. The program has developed a framework of using artificial neuroanatomists that are trained to identify sulci from a database. The framework relies on a renormalization of the brain warping problem, which consists in matching the cortices at the scale of the folds. Another component of the program is the search for the alphabet of the folding patterns, namely, a list of indivisible elementary sulci. The search relies on the study of the cortical folding process using antenatal imaging and on backward simulations of morphogenesis aimed at revealing traces of the embryologic dimples in the mature cortical surface. The importance of sulcal-based morphometry is illustrated by a simple study of the correlates of handedness on asymmetry indices. The study shows for instance that the central sulcus is larger in the dominant hemisphere.

Subfields: Cognitive Neuroscience, Geometry and Topology

View Paper: https://www.semanticscholar.org/paper/5e9b4b41263be35fe54855de93853591465a5c56

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Citations in the corpus

BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics (2013, background): “info/) [64], are supported for direct loading and visualization.”
A Surface-Based Approach to Quantify Local Cortical Gyrification (2008, methodology): “Other methods for assessing sulcal depth [17], [67], length [67], width [17], or asymmetry index [5] are grouped under the heading of sulcal morphometry.”
An unbiased iterative group registration template for cortical surface analysis (2007, background): “The behaviour of surface registration with respect to fold variants In their recent paper on sulcal variability, Mangin et al. (2004) draw attention to the problem of cortical fold variants.”
On testing for spatial correspondence between maps of human brain structure and function (2018, unknown): “…sulci” that arise earliest in prenatal human brain development (Nishikuni and Ribas, 2013), show least variance in morphology across individuals (Mangin et al., 2004) and most consistent correspondence with the boundaries of cytoarchitectonically-defined cortical areas (Fischl et al., 2008).”