Inferring Folding Pattern Specific U-Bundle Atlases – IFOPASUBA

We propose to leverage the emergence of a dictionary of the most frequent folding patterns to infer a specific U-bundle atlas for each such pattern. This dictionary of atlases inferred from the outstanding dataset of the Human Connectome Project will then be used to look for abnormal short-range connectivity in a large ASD dataset already collected in the context of a European project. We will finally validate the U-bundle organizations found abnormal using postmortem brains imaged with high resolution diffusion MRI performed at 11,7T and digitalized Klingler dissection.

A series of folding-pattern-specific bundle atlases have been delivered for a couple of large sulci.
25 post-mortem brains have been collected and imaged via MRI.
A ultrasound device has been designed for acquiring information about short bundle during Klingler dissection.

We hope to discover abnormal connectivity in large ASD datasets

Schilling, Kurt G., et al. «Tractography dissection variability: what happens when 42 groups dissect 14 white matter bundles on the same dataset?.« NeuroImage 243 (2021): 118502. [Partenaires 1, 2 & 3]

Borne, Léonie, et al. «Automatic recognition of specific local cortical folding patterns.« NeuroImage 238 (2021): 118208. [Partenaire 1]

Balzeau, Antoine, and Jean-François Mangin. «What Are the Synergies between Paleoanthropology and Brain Imaging?.« Symmetry 13.10 (2021): 1974. [Partenaire 1]

de Vareilles, Héloïse, et al. «Shape variability of the central sulcus in the developing brain: a longitudinal descriptive and predictive study in preterm infants.« NeuroImage (2021): 118837. [Partenaire 1]

Guillon, L., Cagna, B., Dufumier, B., Chavas, J., Rivière, D., & Mangin, J. F. (2021, September). Detection of abnormal folding patterns with unsupervised deep generative models. In International Workshop on Machine Learning in Clinical Neuroimaging (pp. 63-72). Springer, Cham. [Partenaire 1]

Disturbance of the balance of long-range and short-range connections is thought to be associated with autism spectrum disorder (ASD). The core structure of the short-range connections is a set of U-shaped fiber bundles that circumvent the cortical folds. They have never been mapped at a large scale in the human brain, probably because of the large variability of the cortical folding patterns. We propose to leverage the emergence of a dictionary of the most frequent folding patterns to infer a specific U-bundle atlas for each such pattern. This dictionary of atlases inferred from the outstanding dataset of the Human Connectome Project will then be used to look for abnormal short-range connectivity in a large ASD dataset already collected in the context of a European project. We will finally validate the U-bundle organizations found abnormal using postmortem brains imaged with high resolution diffusion MRI performed at 11,7T and digitalized Klingler dissection.