Sulcal Neuroanatomy and Relative Relationships using Spatial Gradients

Antonia Machlouzarides-Shalit (1, 2) , Guillermo Gallardo (2) , Demian Wassermann (2)

1 Université Paris-Saclay
2 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data

Objective: To characterise sulcal traits and relationships by means of spatial gradients. Our use of spatial gradients allows for the investigation of sulcal associations on structural MRI images. We localise, identify and relate sulci to examine inter-sulcal relationships, providing additional insight into cortical mapping.

Domaines: Géométrie algorithmique [cs.CG]; Neurosciences

Antonia Machlouzarides-Shalit, Guillermo Gallardo, Demian Wassermann. Sulcal Neuroanatomy and Relative Relationships using Spatial Gradients. Organization of Human Brain Mapping, Jun 2018, Singapore, Singapore. ⟨hal-02957840⟩