articleCommunications BiologyMar 5, 2020GOLD OA

BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets

RVReinder Vos de WaelOBOualid BenkarimCPCasey PaquolaSLSara LarivièreJRJessica Royer

Montreal Neurological Institute and Hospital · McGill University · +10 more institutions

PubMed
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Abstract

Understanding how cognitive functions emerge from brain structure depends on quantifying how discrete regions are integrated within the broader cortical landscape. Recent work established that macroscale brain organization and function can be described in a compact manner with multivariate machine learning approaches that identify manifolds often described as cortical gradients. By quantifying topographic principles of macroscale organization, cortical gradients lend an analytical framework to study structural and functional brain organization across species, throughout development and aging, and its perturbations in disease. Here, we present BrainSpace, a Python/Matlab toolbox for (i) the identification of…

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Topics & keywords

Topics
Keywords
  • Toolbox
  • Connectomics
  • Python (programming language)
  • Computer science
  • Neuroimaging
  • Visualization
  • Artificial intelligence
  • Neuroscience
UN Sustainable Development Goals
  • Life in Land
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