Welcome to zbrains’s documentation!

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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