Loading and plotting of cortical surface representations in Nilearn
Research Ideas and Outcomes, (Feb 23, 2017)DOI: 10.3897/rio.3.e12342
Abstract
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.