Sep 21 – 23, 2021
Europe/Berlin timezone

An updated MSM surface registration pipeline to bridge atlases across the MNI and FS / HCP worlds

Sep 23, 2021, 4:00 PM
1h 30m


Board: 38
Poster Poster and Demo Session Poster and Demo Session


Lindsay B. Lewis (McGill Centre for Integrative Neuroscience, McGill University)


Reference brain cortical surfaces derived from various structural pipelines enable integration of multimodal data into a standard space. In the absence of a common framework across structural pipelines, high profile surface atlases created within FreeSurfer (fsaverage) or Human Connectome Project (fs_LR) are not available in standard reference frames like the MNI152 or the 3D-reconstructed histological BigBrain model (Amunts et al. 2013). Here, we present our improved surface registration pipeline linking the BigBrain surface with other reference surfaces of interest (Lewis et al. 2020).

We implement a reparameterized multiscale pipeline via the Human Connectome Project's (HCP) Multimodal Surface Matching (MSM) tool (Robinson et al. 2014, 2018) and HCP workbench (Marcus et al. 2011). The BigBrain surface (Wagstyl et al. 2020) is first re-tessellated using mris_remesh (FreeSurfer7.1), which eliminates the suboptimal unfolding of the right occipital pole observed with our previous version. Registration is then carried out in a direct manner from the re-tessellated BigBrain surface to the reference surface. Performance of the updated pipeline shows improved accuracy and comparably low distortion as our previous approach.

This work allows the high-resolution, histological BigBrain model to serve as an unprecedented cross-validation tool for surface registration pipelines. Any surface atlas defined in another standard space, e.g. fs_LR or fsaverage, can now be transposed to BigBrain space such that macroscopic parcellation boundaries derived from in vivo imaging can be directly compared to cytoarchitectural properties. Likewise, BigBrain's histological landmarks or cortical layers can be transposed to fs_LR and fsaverage for a wide range of functional applications.

Primary authors

Lindsay B. Lewis (McGill Centre for Integrative Neuroscience, McGill University) Dr Claude Y. Lepage (McGill University) Dr Alan C. Evans (Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada)


Matthew F. Glasser (Washington University Medical School) Timothy S. Coalson (Washington University School of Medicine) David C. Van Essen (Washington University in St. Louis)

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