arXiv:2609.05438v1 Announce Type: cross
Abstract: The human brain folds in utero, primarily during late gestation. Shortly after birth, cortical folding patterns are established and remain stable the...
By Julien Laval, Robin Guiavarch, Antoine Dufournet, Racim Menasria, Barth\'el\'emy Drabczuk, Cristobal Mendoza, Saeb Tounsi, Chikh Abdelghani Baroud, Merieme Bourenane, Vanessa Troiani, William Snyder, Marisa A Patti, Myl\`ene Moyal, Marion Plaze, Arnaud Cachia, Federica Santacroce, Giorgia Committeri, Claire Cury, Kevin De Matos, Olivier Colliot, Zhong Yi Sun, Clara Fischer, Vincent Frouin, Pietro Gori, Denis Rivi\`ere, Jo\"el Chavas, Jean-Fran\c{c}ois Mangin
The paper introduces a unified computational framework for tensor-based morphometry that integrates surface modeling, smoothing, and statistical analysis to detect brain surface shape differences between clinical groups using MRI data. It focuses on the cerebral cortex’s 2‑D convoluted topology, measuring local surface area and curvature variations that may differ across groups. Diffusion smoothing via explicit Laplace‑Beltrami operator estimation enhances signal‑to‑noise, and the method is illustrated by localizing gray‑matter growth and loss in longitudinal pediatric brain scans.
By Moo K. Chung, Keith J. Worsley, Steve Robbins, Alan C. Evans
arXiv:2607. 19600v1 Announce Type: cross Abstract: The shape of a planar curve is the geometric information that remains once translation, rotation, scale and reparametrisation are removed and is of interest in many health applications, e.
By Manuel Pfeuffer, Roshan Prakash Rane, Hadya Yassin, Kerstin Ritter, Sonja Greven
arXiv:2606. 05870v1 Announce Type: cross Abstract: Neurodegenerative disorders such as Alzheimer's disease exhibit highly organized patterns of regional brain vulnerability, yet the biological mechanisms underlying this spatial selectivity remain incompletely understood.
By Krishnakumar Vaithianathan (for the Alzheimer's Disease Neuroimaging Initiative)
We introduce SMART, a framework for learning a flexible, interpretable, and scalable spatio-temporal brain atlas from longitudinal high-resolution 3D medical images. Existing approaches to spatio-temporal atlas construction rely on black-box generative models that lack flexibility, limit interpretability, and struggle to scale to high-dimensional data.
arXiv:2606. 09770v1 Announce Type: cross Abstract: Nearby neurons in cortex share similar response profiles, producing systematic spatial organization across sensory and cognitive systems.
By Badr AlKhamissi, Johannes Mehrer, Lara Marinov, Ahmed Abdelaal, Abdulkadir Gokce, Martin Schrimpf