Research Ideas and Outcomes (Feb 2017)

Loading and plotting of cortical surface representations in Nilearn

  • Julia Huntenburg,
  • Alexandre Abraham,
  • João Loula,
  • Franziskus Liem,
  • Kamalaker Dadi,
  • Gaël Varoquaux

DOI
https://doi.org/10.3897/rio.3.e12342
Journal volume & issue
Vol. 3
pp. 1 – 6

Abstract

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Processing neuroimaging data on the cortical surface traditionally requires dedicated heavy-weight software suites. Here, we present an initial support of cortical surfaces in Python within the neuroimaging data processing toolbox Nilearn. We provide loading and plotting functions for different surface data formats with minimal dependencies, along with examples of their application. Limitations of the current implementation and potential next steps are discussed.

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