Welcome to zbrains’s documentation!¶
zbrains identifies patient-specific signal alterations in brain morphology and microstructure, using features with previously demonstrated potential for localization and lateralization of epileptogenic lesions.
Breaking news ️📰¶
zbrains
version v1.0 “lido” is up and running!
About 👁️🗨️¶
zbrains
is an open toolbox promoting standardized procedures to map and normalize structural imaging features in epilepsy research.
This pipeline integrates processing streams to map and normalize T1-weighted (cortical thickness, subcortical volume), diffusion-weighted (mean diffusivity, fractional anisotropy),
FLAIR (intensity), and quantitative T1 (intensity) imaging data to standard neocortical, subcortical, and hippocampal spaces.
Core development team 🧠¶
z-brains is developed by members of the MICA-lab (https://mica-mni.github.io) and collaborators at the McConnell Brain Imaging Centre of the Montreal Neurological Institute and Harvard Medical School.
Jessica Royer, MICA Lab - Montreal Neurological Institute
Sara Larivière, Brigham and Women’s Hospital | Harvard Medical School
Raúl Rodríguez-Cruces, MICA Lab - Montreal Neurological Institute
Oualid Benkarim, MICA Lab - Montreal Neurological Institute
Jordan Dekraker, MICA Lab - Montreal Neurological Institute
Yigu Zhou, MICA Lab - Montreal Neurological Institute
Youngeun Hwang, MICA Lab - Montreal Neurological Institute
Judy Chen, MICA Lab - Montreal Neurological Institute
Boris Bernhardt, MICA Lab - Montreal Neurological Institute