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Cited by 305

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

A framework to study the cortical folding patterns

Mangin, J.-F., Rivière, D., Cachia, A., Duchesnay, E., Cointepas, Y., Papadopoulos-Orfanos, D., Scifo, P., Ochiai, T., Brunelle, F., Régis, J.·2004·NeuroImage

Abstract

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.

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Metadata

Authors
Mangin, J.-F., Rivière, D., Cachia, A., Duchesnay, E., Cointepas, Y., Papadopoulos-Orfanos, D., Scifo, P., Ochiai, T., Brunelle, F., & Régis, J.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2004-01
Volume
23
Pages
S129-S138
ISSN
1053-8119 (ISSN-L)
OpenAlex
W1999945947
Cited by
305
References
3
FWCI
11.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A framework to study the cortical folding patterns. https://app.cochat.ai/papers/10.1016/j.neuroimage.2004.07.019
The paper
Mangin, J.-F., Rivière, D., Cachia, A., Duchesnay, E., Cointepas, Y., Papadopoulos-Orfanos, D., Scifo, P., Ochiai, T., Brunelle, F., & Régis, J. (2004). A framework to study the cortical folding patterns. NeuroImage. https://doi.org/10.1016/j.neuroimage.2004.07.019

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.