ENIGMA Toolbox

ENIGMA Toolbox integrates and analyzes neuroimaging and genetics datasets to enable multiscale contextualization of brain imaging markers across disorders.


Key Features:

  • Data Access and Integration: Provides access to over 100 datasets from the ENIGMA Consortium for cross-disorder analyses of neuroimaging and genetic data.
  • Visualization Capabilities: Visualizes neuroimaging data on brain surfaces for examination of structural and functional patterns.
  • Multiscale Contextualization: Links neuroimaging markers to microscale data (postmortem cytoarchitecture, gene expression) and macroscale data (structural and functional connectomes).
  • Standardization and Workflow Facilitation: Bridges standardized data processing protocols with analytic workflows to support cross-consortia analyses and reproducibility.

Scientific Applications:

  • Imaging Genomics: Supports imaging genomics studies of brain structure, function, and disease.
  • Disorder Genetics: Facilitates investigation of genetic contributions to neurodevelopmental and psychiatric disorders.
  • Multiscale Interpretation: Enables contextualization of imaging findings within molecular, histological, and network organization of the brain.

Methodology:

Implemented in Python and Matlab.

Topics

Details

License:
BSD-3-Clause
Programming Languages:
Python, MATLAB, Mathematica
Added:
1/18/2021
Last Updated:
3/7/2021

Operations

Publications

Larivière S, Paquola C, Park B, Royer J, Wang Y, Benkarim O, Vos de Wael R, Valk SL, Thomopoulos SI, Kirschner M, Lewis LB, Evans AC, Sisodiya SM, McDonald CR, Thompson PM, Bernhardt BC. The ENIGMA Toolbox: Cross-disorder integration and multiscale neural contextualization of multisite neuroimaging datasets. Unknown Journal. 2020. doi:10.1101/2020.12.21.423838.

Documentation

Links