.. image:: https://img.shields.io/badge/license-BSD-brightgreen :target: https://opensource.org/licenses/BSD-3-Clause
zbrains identifies patient-specific signal alterations in brain morphology and microstructure, using features with previously demonstrated potential for localization and lateralization of epileptogenic lesions.
zbrains version v1.0 "lido" is up and running!
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.
pages/01.install/index pages/02.tutorialinstructions/index pages/03.whatsnew/index
pages/04.micapipe/index pages/05.hippunfold/index
pages/06.cortex/index pages/07.subcortex/index pages/08.hippocampus/index
pages/09.zscoring/index pages/10.normative/index
pages/11.features/index pages/12.reports/index
pages/13.plugins/index
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